Peter Cameron

Background The burden of traumatic brain injury (TBI) poses a large public health and societal problem, but the characteristics of patients and their care pathways in Europe are poorly understood. We aimed to characterise patient case-mix, care pathways, and outcomes of TBI. Methods CENTER-TBI is a Europe-based, observational cohort study, consisting of a core study and a registry. Inclusion criteria for the core study were a clinical diagnosis of TBI, presentation fewer than 24 h after injury, and an indication for CT. Patients were differentiated by care pathway and assigned to the emergency room (ER) stratum (patients who were discharged from an emergency room), admission stratum (patients who were admitted to a hospital ward), or intensive care unit (ICU) stratum (patients who were admitted to the ICU). Neuroimages and biospecimens were stored in repositories and outcome was assessed at 6 months after injury. We used the IMPACT core model for estimating the expected mortality and proportion with unfavourable Glasgow Outcome Scale Extended (GOSE) outcomes in patients with moderate or severe TBI (Glasgow Coma Scale [GCS] score ≤12). The core study was registered with ClinicalTrials.gov, number NCT02210221, and with Resource Identification Portal (RRID: SCR_015582). Findings Data from 4509 patients from 18 countries, collected between Dec 9, 2014, and Dec 17, 2017, were analysed in the core study and from 22 782 patients in the registry. In the core study, 848 (19%) patients were in the ER stratum, 1523 (34%) in the admission stratum, and 2138 (47%) in the ICU stratum. In the ICU stratum, 720 (36%) patients had mild TBI (GCS score 13–15). Compared with the core cohort, the registry had a higher proportion of patients in the ER (9839 [43%]) and admission (8571 [38%]) strata, with more than 95% of patients classified as having mild TBI. Patients in the core study were older than those in previous studies (median age 50 years [IQR 30–66], 1254 [28%] aged >65 years), 462 (11%) had serious comorbidities, 772 (18%) were taking anticoagulant or antiplatelet medication, and alcohol was contributory in 1054 (25%) TBIs. MRI and blood biomarker measurement enhanced characterisation of injury severity and type. Substantial inter-country differences existed in care pathways and practice. Incomplete recovery at 6 months (GOSE <8) was found in 207 (30%) patients in the ER stratum, 665 (53%) in the admission stratum, and 1547 (84%) in the ICU stratum. Among patients with moderate-to-severe TBI in the ICU stratum, 623 (55%) patients had unfavourable outcome at 6 months (GOSE <5), similar to the proportion predicted by the IMPACT prognostic model (observed to expected ratio 1·06 [95% CI 0·97–1·14]), but mortality was lower than expected (0·70 [0·62–0·76]). Interpretation Patients with TBI who presented to European centres in the core study were older than were those in previous observational studies and often had comorbidities. Overall, most patients presented with mild TBI. The incomplete recovery of many patients should motivate precision medicine research and the identification of best practices to improve these outcomes. Funding European Union 7th Framework Programme, the Hannelore Kohl Stiftung, OneMind, and Integra LifeSciences Corporation.

Objective: To determine whether the statewide system of trauma care introduced in 2000 has resulted in improved survival for all major trauma patients in Victoria. Design, setting and participants: Population-based cohort study using data from the Victorian State Trauma Registry (VSTR), a registry of all hospitalised major trauma patients in Victoria. The study included major trauma patients with an Injury Severity Score > 15 captured by the VSTR between July 2001 and June 2006. Main outcome measure: In-hospital mortality. Results: The number of major trauma cases captured by the registry rose from 1153 in 2001–02 to 1737 in 2005–06. Adjusting for key predictors of mortality, there was a significant overall reduction between 2001–02 and 2005–06 in the risk of death for patients treated in the trauma system (adjusted odds ratio [AOR], 0.62 [95% CI, 0.48–0.80]). The reduced risk of death was also significant when road trauma cases (AOR, 0.56 [95% CI, 0.39–0.80]) and serious head injury cases (AOR, 0.62 [95% CI, 0.46–0.83]) were analysed separately. The proportion of road trauma patients definitively treated at one of the three major trauma service (MTS) hospitals in Victoria rose by 7% over the 5-year period. Direct transfers from the scene of injury to MTS hospitals rose by 8% for all cases and 13% for road trauma cases over the same period. Conclusions: Introduction of a statewide trauma system was associated with a significant reduction in risk-adjusted mortality. Such inclusive systems of trauma care should be regarded as a minimum standard for health jurisdictions.

After severe traumatic brain injury, induction of prophylactic hypothermia has been suggested to be neuroprotective and improve long-term neurologic outcomes.To determine the effectiveness of early prophylactic hypothermia compared with normothermic management of patients after severe traumatic brain injury.The Prophylactic Hypothermia Trial to Lessen Traumatic Brain Injury-Randomized Clinical Trial (POLAR-RCT) was a multicenter randomized trial in 6 countries that recruited 511 patients both out-of-hospital and in emergency departments after severe traumatic brain injury. The first patient was enrolled on December 5, 2010, and the last on November 10, 2017. The final date of follow-up was May 15, 2018.There were 266 patients randomized to the prophylactic hypothermia group and 245 to normothermic management. Prophylactic hypothermia targeted the early induction of hypothermia (33°C-35°C) for at least 72 hours and up to 7 days if intracranial pressures were elevated, followed by gradual rewarming. Normothermia targeted 37°C, using surface-cooling wraps when required. Temperature was managed in both groups for 7 days. All other care was at the discretion of the treating physician.The primary outcome was favorable neurologic outcomes or independent living (Glasgow Outcome Scale-Extended score, 5-8 [scale range, 1-8]) obtained by blinded assessors 6 months after injury.Among 511 patients who were randomized, 500 provided ongoing consent (mean age, 34.5 years [SD, 13.4]; 402 men [80.2%]) and 466 completed the primary outcome evaluation. Hypothermia was initiated rapidly after injury (median, 1.8 hours [IQR, 1.0-2.7 hours]) and rewarming occurred slowly (median, 22.5 hours [IQR, 16-27 hours]). Favorable outcomes (Glasgow Outcome Scale-Extended score, 5-8) at 6 months occurred in 117 patients (48.8%) in the hypothermia group and 111 (49.1%) in the normothermia group (risk difference, 0.4% [95% CI, -9.4% to 8.7%]; relative risk with hypothermia, 0.99 [95% CI, 0.82-1.19]; P = .94). In the hypothermia and normothermia groups, the rates of pneumonia were 55.0% vs 51.3%, respectively, and rates of increased intracranial bleeding were 18.1% vs 15.4%, respectively.Among patients with severe traumatic brain injury, early prophylactic hypothermia compared with normothermia did not improve neurologic outcomes at 6 months. These findings do not support the use of early prophylactic hypothermia for patients with severe traumatic brain injury.clinicaltrials.gov Identifier: NCT00987688; Anzctr.org.au Identifier: ACTRN12609000764235.

The Injury Severity Score (ISS) is the most ubiquitous summary score derived from Abbreviated Injury Scale (AIS) data. It is frequently used to classify patients as 'major trauma' using a threshold of ISS >15. However, it is not known whether this is still appropriate, given the changes which have been made to the AIS codeset since this threshold was first used. This study aimed to identify appropriate ISS and New Injury Severity Score (NISS) thresholds for use with the 2008 AIS (AIS08) which predict mortality and in-hospital resource use comparably to ISS >15 using AIS98.Data from 37,760 patients in a state trauma registry were retrieved and reviewed. AIS data coded using the 1998 AIS (AIS98) were mapped to AIS08. ISS and NISS were calculated, and their effects on patient classification compared. The ability of selected ISS and NISS thresholds to predict mortality or high-level in-hospital resource use (the need for ICU or urgent surgery) was assessed.An ISS >12 using AIS08 was similar to an ISS >15 using AIS98 in terms of both the number of patients classified major trauma, and overall major trauma mortality. A 10% mortality level was only seen for ISS 25 or greater. A NISS >15 performed similarly to both of these ISS thresholds. However, the AIS08-based ISS >12 threshold correctly classified significantly more patients than a NISS >15 threshold for all three severity measures assessed.When coding injuries using AIS08, an ISS >12 appears to function similarly to an ISS >15 in AIS98 for the purposes of identifying a population with an elevated risk of death after injury. Where mortality is a primary outcome of trauma monitoring, an ISS >12 threshold could be adopted to identify major trauma patients.Level II evidence--diagnostic tests and criteria.

ObjectiveWe aimed to explore the added value of common machine learning (ML) algorithms for prediction of outcome for moderate and severe traumatic brain injury.Study Design and SettingWe performed logistic regression (LR), lasso regression, and ridge regression with key baseline predictors in the IMPACT-II database (15 studies, n = 11,022). ML algorithms included support vector machines, random forests, gradient boosting machines, and artificial neural networks and were trained using the same predictors. To assess generalizability of predictions, we performed internal, internal-external, and external validation on the recent CENTER-TBI study (patients with Glasgow Coma Scale <13, n = 1,554). Both calibration (calibration slope/intercept) and discrimination (area under the curve) was quantified.ResultsIn the IMPACT-II database, 3,332/11,022 (30%) died and 5,233(48%) had unfavorable outcome (Glasgow Outcome Scale less than 4). In the CENTER-TBI study, 348/1,554(29%) died and 651(54%) had unfavorable outcome. Discrimination and calibration varied widely between the studies and less so between the studied algorithms. The mean area under the curve was 0.82 for mortality and 0.77 for unfavorable outcomes in the CENTER-TBI study.ConclusionML algorithms may not outperform traditional regression approaches in a low-dimensional setting for outcome prediction after moderate or severe traumatic brain injury. Similar to regression-based prediction models, ML algorithms should be rigorously validated to ensure applicability to new populations.

The administration of a high fraction of oxygen following return of spontaneous circulation in out-of-hospital cardiac arrest may increase reperfusion brain injury.To determine whether targeting a lower oxygen saturation in the early phase of postresuscitation care for out-of-hospital cardiac arrest improves survival at hospital discharge.This multicenter, parallel-group, randomized clinical trial included unconscious adults with return of spontaneous circulation and a peripheral oxygen saturation (Spo2) of at least 95% while receiving 100% oxygen. The trial was conducted in 2 emergency medical services and 15 hospitals in Victoria and South Australia, Australia, between December 11, 2017, and August 11, 2020, with data collection from ambulance and hospital medical records (final follow-up date, August 25, 2021). The trial enrolled 428 of a planned 1416 patients.Patients were randomized by paramedics to receive oxygen titration to achieve an oxygen saturation of either 90% to 94% (intervention; n = 216) or 98% to 100% (standard care; n = 212) until arrival in the intensive care unit.The primary outcome was survival to hospital discharge. There were 9 secondary outcomes collected, including hypoxic episodes (Spo2 &lt;90%) and prespecified serious adverse events, which included hypoxia with rearrest.The trial was stopped early due to the COVID-19 pandemic. Of the 428 patients who were randomized, 425 were included in the primary analysis (median age, 65.5 years; 100 [23.5%] women) and all completed the trial. Overall, 82 of 214 patients (38.3%) in the intervention group survived to hospital discharge compared with 101 of 211 (47.9%) in the standard care group (difference, -9.6% [95% CI, -18.9% to -0.2%]; unadjusted odds ratio, 0.68 [95% CI, 0.46-1.00]; P = .05). Of the 9 prespecified secondary outcomes collected during hospital stay, 8 showed no significant difference. A hypoxic episode prior to intensive care was observed in 31.3% (n = 67) of participants in the intervention group and 16.1% (n = 34) in the standard care group (difference, 15.2% [95% CI, 7.2%-23.1%]; OR, 2.37 [95% CI, 1.49-3.79]; P &lt; .001).Among patients achieving return of spontaneous circulation after out-of-hospital cardiac arrest, targeting an oxygen saturation of 90% to 94%, compared with 98% to 100%, until admission to the intensive care unit did not significantly improve survival to hospital discharge. Although the trial is limited by early termination due to the COVID-19 pandemic, the findings do not support use of an oxygen saturation target of 90% to 94% in the out-of-hospital setting after resuscitation from cardiac arrest.ClinicalTrials.gov Identifier: NCT03138005.

Objectives. The impact of mild head injury or mild traumatic brain injury (TBI) in children is variable, and determinants of outcome remain poorly understood. There have been no previous attempts to evaluate the impact of interventions to improve outcome. Results of previous intervention studies in adults have been mixed. This study aimed to evaluate the impact of providing information on outcome measured in terms of reported symptoms, cognitive performance, and psychological adjustment in children 3 months after injury. Methods. A total of 61 children with mild TBI were assessed 1 week and 3 months after injury, and 58 children with mild TBI were assessed 3 months after injury only. They were compared with 2 control groups (N = 45 and 47) of children with minor injuries not involving the head. Participants completed measures of preinjury behavior and psychological adjustment, postconcussion symptoms, and tests of attention, speed of information processing, and memory. Children with mild TBI seen at 1 week were also given an information booklet outlining symptoms associated with mild TBI and suggested coping strategies. Those seen 3 months after injury only did not receive this booklet. Results. Children with mild TBI reported more symptoms than controls at 1 week but demonstrated no impairment on neuropsychological measures. Initial symptoms had resolved for most children by 3 months after injury, but a small group of children who had previous head injury or a history of learning or behavioral difficulties reported ongoing problems. The group not seen at 1 week and not given the information booklet reported more symptoms overall and was more stressed 3 months after injury. Conclusions. Providing an information booklet reduces anxiety and thereby lowers the incidence of ongoing problems.

Emergency departments (EDs) in many developed countries are experiencing increasing pressure due to rising numbers of patient presentations and emergency admissions. Reported increases range up to 7% annually. Together with limited inpatient bed capacity, this contributes to prolonged lengths of stay in the ED; disrupting timely access to urgent care, posing a threat to patient safety. The aim of this review is to summarise the findings of studies that have investigated the extent of and the reasons for increasing emergency presentations. To do this, a systematic review and synthesis of published and unpublished reports describing trends and underlying drivers associated with the increase in ED presentations in developed countries was conducted. Most published studies provided evidence of increasing ED attendances within developed countries. A series of inter-related factors have been proposed to explain the increase in emergency demand. These include changes in demography and in the organisation and delivery of healthcare services, as well as improved health awareness and community expectations arising from health promotion campaigns. The factors associated with increasing ED presentations are complex and inter-related and include rising community expectations regarding access to emergency care in acute hospitals. A systematic investigation of the demographic, socioeconomic and health-related factors highlighted by this review is recommended. This would facilitate untangling the dynamics of the increase in emergency demand.

Objective: To measure the growth in emergency ambulance use across metropolitan Melbourne since 1995, to measure the impact of population growth and ageing on these services, and to forecast demand for these services in 2015. Design and setting: A population-based retrospective analysis of Ambulance Victoria's metropolitan emergency ambulance transportation data for the period from financial year 1994–95 to 2007–08, and modelling of demand in the financial year 2014–15. Main outcome measures: Numbers and rates of emergency ambulance transportations. Results: The crude annual rate of emergency transportations across all age groups increased from 32 per 1000 people in 1994–95 to 58 per 1000 people in 2007–08. The rate of transportation for all ages increased by 75% (95% CI, 62%–89%) over the 14-year study period, representing an average annual growth rate of 4.8% (95% CI, 4.3%–5.3%) beyond that explained by demographic changes. Patients aged ≥ 85 years were eight times (incident rate ratio, 7.9 [95% CI, 7.6–8.3]) as likely to be transported than those aged 45–69 years over this period. Forecast models suggest that the number of transportations will increase by 46%–69% between 2007–08 and 2014–15, disproportionately driven by increasing usage by patients aged ≥ 85 years. Conclusions: These findings confirm a dramatic rise in emergency transportations over the study period, beyond that expected from demographic changes. Rates increased across all age groups, but more so in older patients. In the future, such acceleration is likely to have major effects on ambulance services and acute hospital capacity. This calls for further investigation of underlying causes and alternative models of care.

Trauma registries, like disease registries, provide an important analysis tool to assess the management of patient care. Trauma registries are well established and relatively common in the USA and have been used to change legislation, promote trauma prevention and to evaluate trauma system effectiveness. In Australia, the first truly statewide trauma registry was established in Victoria in 2001 with an estimated capture of 1700 major trauma cases annually. The Victorian State Trauma Registry, managed by the Victorian State Trauma Outcomes Registry and Monitoring (VSTORM) group, was established in response to a ministerial review of trauma and emergency services undertaken in 1997 to advise the Victorian Government on a best practice model of trauma service provision that was responsive to the particular needs of critically ill trauma patients. This taskforce recommended the establishment of a new system of care for major trauma patients in Victoria and a statewide trauma registry to monitor this new system. The development of the Victorian state trauma registry has shown that there are certain issues that must be resolved for successful implementation of any system-wide registry. This paper describes the issues faced by VSTORM in developing, implementing and maintaining a statewide trauma registry.

Abstract Background Valid and reliable measures of trauma system performance are needed to guide improvement activities, benchmarking and public reporting, future investment and research. Traditional measures of in-hospital mortality fail to take into account prehospital and posthospital care, recovery after discharge, and the nature and costs of long-term disability. Methods Drawing on recent systematic reviews, an overview was conducted of existing and emerging trauma care performance indicators. Changes in the nature and purpose of indicators were assessed. Results Among a large number of existing, mostly locally developed performance indicators, only peer review of deaths has evidence of validity or reliability. The usefulness of the traditional performance measure of in-hospital mortality has been challenged. There is an emerging shift in focus from mortality to non-mortality outcomes, from hospital-based to long-term community-based outcome assessment, and from single measures of trauma centre performance to measures better suited to monitoring the performance of systems of care spanning the entire patient journey. As a result, a new generation of indicators is emerging that are both feasible and potentially more useful for commissioners and payers of population-based services. Conclusion A global endeavour is now under way to agree on a set of standardized performance indicators that are meaningful to patients, carers, clinicians, managers and service funders, are likely to contribute to desired outcomes, and are valid, reliable and have a strong evidence base.

Abstract Objectives: Although the factors driving emergency department demand have been extensively investigated, a comparatively minimal amount is known about the factors that are driving an increase in emergency ambulance demand. Methods: We conducted a retrospective observational study of consecutive cases attended by Ambulance Victoria in Melbourne, Australia from 2008 to 2015. Incidence rates were calculated, and adjusted time series regression analyses were performed to assess the driving factors of ambulance demand. Results: A total of 2,443,952 consecutive cases were included. Demand grew by 29.2% over the 8-year period. The age-specific incidence increased significantly over time for patients aged < 60 years, but not for patients aged ≥ 60 years. After adjustment for seasonality and population growth, demand increased by 1.4% per annum (incident rate ratio [IRR] = 1.014 [1.011–1.017]). The largest annual growth in demand was observed in patients with a history of mental health issues (IRR = 1.058 [1.054–1.062]), alcohol/drug abuse (IRR = 1.061 [1.056–1.066]), or a Charlson Comorbidity Index [CCI] score ≥ 4 (IRR = 1.045 [1.039–1.051]). Cases involving patients of relative socio-economic/educational disadvantage, younger age, or with no preexisting health conditions according to the CCI also grew faster than the overall patient population. Cases requiring transport to hospital increased by 1.2% annually (IRR = 1.012 [1.009–1.016]), although patients not requiring medical intervention from paramedics increased by 6.7% annually (IRR = 1.067 [1.063–1.072]). Conclusions: Increases in ambulance demand exceeded population growth. Emergency ambulances were increasingly utilized for transport of patients who did not require medical intervention from paramedics. Identifying the characteristics of patients driving ambulance demand will enable targeted demand management strategies.

Abstract Background The effectiveness of trauma systems in decreasing injury mortality and morbidity has been well demonstrated. However, little is known about which components contribute to their effectiveness. We aimed to systematically review the evidence of the impact of trauma system components on clinically important injury outcomes. Methods We searched MEDLINE, EMBASE, Cochrane CENTRAL, and BIOSIS/Web of Knowledge, gray literature and trauma association Web sites to identify studies evaluating the association between at least one trauma system component and injury outcome. We calculated pooled effect estimates using inverse‐variance random‐effects models. We evaluated quality of evidence using GRADE criteria. Results We screened 15,974 records, retaining 41 studies for qualitative synthesis and 19 for meta‐analysis. Two recommended trauma system components were associated with reduced odds of mortality: inclusive design (odds ratio [OR] = 0.72 [0.65–0.80]) and helicopter transport (OR = 0.70 [0.55–0.88]). Pre‐Hospital Advanced Trauma Life Support was associated with a significant reduction in hospital days (mean difference [MD] = 5.7 [4.4–7.0]) but a nonsignificant reduction in mortality (OR = 0.78 [0.44–1.39]). Population density of surgeons was associated with a nonsignificant decrease in mortality (MD = 0.58 [−0.22 to 1.39]). Trauma system maturity was associated with a significant reduction in mortality (OR = 0.76 [0.68–0.85]). Quality of evidence was low or very low for mortality and healthcare utilization. Conclusions This review offers low‐quality evidence for the effectiveness of an inclusive design and trauma system maturity and very‐low‐quality evidence for helicopter transport in reducing injury mortality. Further research should evaluate other recommended components of trauma systems and non‐fatal outcomes and explore the impact of system component interactions.

Traumatic brain injury (TBI) is a significant cause of disability, but little is known about sex and gender differences after TBI.We aimed to analyze the association between sex/gender, and the broad range of care pathways, treatment characteristics, and outcomes following mild and moderate/severe TBI.We performed mixed-effects regression analyses in the prospective multi-center Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study, stratified for injury severity and age, and adjusted for baseline characteristics.Outcomes were various care pathway and treatment variables, and 6-month measures of functional outcome, health-related quality of life (HRQoL), post-concussion symptoms (PCS), and mental health symptoms.The study included 2862 adults (36% women) with mild (mTBI; Glasgow Coma Scale [GCS] score 13-15), and 1333 adults (26% women) with moderate/severe TBI (GCS score 3-12).Women were less likely to be admitted to the intensive care unit (ICU; odds ratios [OR] 0.6, 95% confidence interval [CI]: 0.4-0.8)following mTBI.Following moderate/severe TBI, women had a shorter median hospital stay (OR 0.7, 95% CI: 0.5-1.0).Following mTBI, women had poorer outcomes; lower Glasgow Outcome Scale Extended (GOSE; OR 1.4, 95% CI: 1.2-1.6),lower generic and disease-specific HRQoL, and more severe PCS, depression, and anxiety.Among them, women under age 45 and above age 65 years showed worse 6-month outcomes compared with men of the same age.Following moderate/severe TBI, there was no difference in GOSE (OR 0.9, 95% CI: 0.7-1.2),but women reported more severe PCS (OR 1.7, 95% CI: 1.1-2.6).Men and women differ in care pathways and outcomes following TBI.Women generally report worse 6-month outcomes, but the size of differences depend on TBI severity and age.Future studies should examine factors that explain these differences.

A head computed tomography (CT) with positive results for acute intracranial hemorrhage is the gold-standard diagnostic biomarker for acute traumatic brain injury (TBI). In moderate to severe TBI (Glasgow Coma Scale [GCS] scores 3-12), some CT features have been shown to be associated with outcomes. In mild TBI (mTBI; GCS scores 13-15), distribution and co-occurrence of pathological CT features and their prognostic importance are not well understood.To identify pathological CT features associated with adverse outcomes after mTBI.The longitudinal, observational Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study enrolled patients with TBI, including those 17 years and older with GCS scores of 13 to 15 who presented to emergency departments at 18 US level 1 trauma centers between February 26, 2014, and August 8, 2018, and underwent head CT imaging within 24 hours of TBI. Evaluations of CT imaging used TBI Common Data Elements. Glasgow Outcome Scale-Extended (GOSE) scores were assessed at 2 weeks and 3, 6, and 12 months postinjury. External validation of results was performed via the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. Data analyses were completed from February 2020 to February 2021.Acute nonpenetrating head trauma.Frequency, co-occurrence, and clustering of CT features; incomplete recovery (GOSE scores <8 vs 8); and an unfavorable outcome (GOSE scores <5 vs ≥5) at 2 weeks and 3, 6, and 12 months.In 1935 patients with mTBI (mean [SD] age, 41.5 [17.6] years; 1286 men [66.5%]) in the TRACK-TBI cohort and 2594 patients with mTBI (mean [SD] age, 51.8 [20.3] years; 1658 men [63.9%]) in an external validation cohort, hierarchical cluster analysis identified 3 major clusters of CT features: contusion, subarachnoid hemorrhage, and/or subdural hematoma; intraventricular and/or petechial hemorrhage; and epidural hematoma. Contusion, subarachnoid hemorrhage, and/or subdural hematoma features were associated with incomplete recovery (odds ratios [ORs] for GOSE scores <8 at 1 year: TRACK-TBI, 1.80 [95% CI, 1.39-2.33]; CENTER-TBI, 2.73 [95% CI, 2.18-3.41]) and greater degrees of unfavorable outcomes (ORs for GOSE scores <5 at 1 year: TRACK-TBI, 3.23 [95% CI, 1.59-6.58]; CENTER-TBI, 1.68 [95% CI, 1.13-2.49]) out to 12 months after injury, but epidural hematoma was not. Intraventricular and/or petechial hemorrhage was associated with greater degrees of unfavorable outcomes up to 12 months after injury (eg, OR for GOSE scores <5 at 1 year in TRACK-TBI: 3.47 [95% CI, 1.66-7.26]). Some CT features were more strongly associated with outcomes than previously validated variables (eg, ORs for GOSE scores <5 at 1 year in TRACK-TBI: neuropsychiatric history, 1.43 [95% CI .98-2.10] vs contusion, subarachnoid hemorrhage, and/or subdural hematoma, 3.23 [95% CI 1.59-6.58]). Findings were externally validated in 2594 patients with mTBI enrolled in the CENTER-TBI study.In this study, pathological CT features carried different prognostic implications after mTBI to 1 year postinjury. Some patterns of injury were associated with worse outcomes than others. These results support that patients with mTBI and these CT features need TBI-specific education and systematic follow-up.

Frailty is known to be associated with poorer outcomes in individuals admitted to hospital for medical conditions requiring intensive care. However, little evidence is available for the effect of frailty on patients' outcomes after traumatic brain injury. Many frailty indices have been validated for clinical practice and show good performance to predict clinical outcomes. However, each is specific to a particular clinical context. We aimed to develop a frailty index to predict 6-month outcomes in patients after a traumatic brain injury.A cumulative deficit approach was used to create a novel frailty index based on 30 items dealing with disease states, current medications, and laboratory values derived from data available from CENTER-TBI, a prospective, longitudinal observational study of patients with traumatic brain injury presenting within 24 h of injury and admitted to a ward or an intensive care unit at 65 centres in Europe between Dec 19, 2014, and Dec 17, 2017. From the individual cumulative CENTER-TBI frailty index (range 0-30), we obtained a standardised value (range 0-1), with high scores indicating higher levels of frailty. The effect of frailty on 6-month outcome evaluated with the extended Glasgow Outcome Scale (GOSE) was assessed through a proportional odds logistic model adjusted for known outcome predictors. An unfavourable outcome was defined as death or severe disability (GOSE score ≤4). External validation was performed on data from TRACK-TBI, a prospective observational study co-designed with CENTER-TBI, which enrolled patients with traumatic brain injury at 18 level I trauma centres in the USA from Feb 26, 2014, to July 27, 2018. CENTER-TBI is registered with ClinicalTrials.gov, NCT02210221; TRACK-TBI is registered at ClinicalTrials.gov, NCT02119182.2993 participants (median age was 51 years [IQR 30-67], 2058 [69%] were men) were included in this analysis. The overall median CENTER-TBI frailty index score was 0·07 (IQR 0·03-0·15), with a median score of 0·17 (0·08-0·27) in older adults (aged ≥65 years). The CENTER-TBI frailty index score was significantly associated with the probability of an increasingly unfavourable outcome (cumulative odds ratio [OR] 1·03, 95% CI 1·02-1·04; p<0·0001), and the association was stronger for participants admitted to hospital wards (1·04, 1·03-1·06, p<0·0001) compared with those admitted to the intensive care unit (1·02, 1·01-1·03 p<0·0001). External validation of the CENTER-TBI frailty index in data from the TRACK-TBI (n=1667) cohort supported the robustness and reliability of these findings. The overall median TRACK-TBI frailty index score was 0·03 (IQR 0-0·10), with the frailty index score significantly associated with the risk of an increasingly unfavourable outcome in patients admitted to hospital wards (cumulative OR 1·05, 95% CI 1·03-1·08; p<0·0001), but not in those admitted to the intensive care unit (1·01, 0·99-1·03; p=0·43).We developed and externally validated a frailty index specific to traumatic brain injury. Risk of unfavourable outcome was significantly increased in participants with a higher CENTER-TBI frailty index score, regardless of age. Frailty identification could help to individualise rehabilitation approaches aimed at mitigating effects of frailty in patients with traumatic brain injury.European Union, Hannelore Kohl Stiftung, OneMind, Integra LifeSciences Corporation, NeuroTrauma Sciences, NIH-NINDS-TRACK-TBI, US Department of Defense.

While the Glasgow coma scale (GCS) is one of the strongest outcome predictors, the current classification of traumatic brain injury (TBI) as 'mild', 'moderate' or 'severe' based on this fails to capture enormous heterogeneity in pathophysiology and treatment response. We hypothesized that data-driven characterization of TBI could identify distinct endotypes and give mechanistic insights.We developed an unsupervised statistical clustering model based on a mixture of probabilistic graphs for presentation (< 24 h) demographic, clinical, physiological, laboratory and imaging data to identify subgroups of TBI patients admitted to the intensive care unit in the CENTER-TBI dataset (N = 1,728). A cluster similarity index was used for robust determination of optimal cluster number. Mutual information was used to quantify feature importance and for cluster interpretation.Six stable endotypes were identified with distinct GCS and composite systemic metabolic stress profiles, distinguished by GCS, blood lactate, oxygen saturation, serum creatinine, glucose, base excess, pH, arterial partial pressure of carbon dioxide, and body temperature. Notably, a cluster with 'moderate' TBI (by traditional classification) and deranged metabolic profile, had a worse outcome than a cluster with 'severe' GCS and a normal metabolic profile. Addition of cluster labels significantly improved the prognostic precision of the IMPACT (International Mission for Prognosis and Analysis of Clinical trials in TBI) extended model, for prediction of both unfavourable outcome and mortality (both p < 0.001).Six stable and clinically distinct TBI endotypes were identified by probabilistic unsupervised clustering. In addition to presenting neurology, a profile of biochemical derangement was found to be an important distinguishing feature that was both biologically plausible and associated with outcome. Our work motivates refining current TBI classifications with factors describing metabolic stress. Such data-driven clusters suggest TBI endotypes that merit investigation to identify bespoke treatment strategies to improve care. Trial registration The core study was registered with ClinicalTrials.gov, number NCT02210221 , registered on August 06, 2014, with Resource Identification Portal (RRID: SCR_015582).

The Australasian Resuscitation Outcomes Consortium (Aus-ROC) out-of-hospital cardiac arrest (OHCA) Epistry (Epidemiological Registry) now covers 100% of Australia and New Zealand (NZ). This study reports and compares the Utstein demographics, arrest characteristics and outcomes of OHCA patients across our region.We included all OHCA cases throughout 2019 as submitted to the Epistry by the eight Australian and two NZ emergency medical services (EMS). We calculated crude and age-standardised incidence rates and performed a national and EMS regional comparison.We obtained data for 31,778 OHCA cases for 2019: 26,637 in Australia and 5,141 in NZ. Crude incidence was 107.9 per 100,000 person-years in Australia and 103.2/100,000 in NZ. Overall, the majority of OHCAs occurred in adults (96%), males (66%), private residences (76%), were unwitnessed (63%), of presumed medical aetiology (83%), and had an initial monitored rhythm of asystole (64%). In non-EMS-witnessed cases, 38% received bystander CPR and 2% received public defibrillation. Wide variation was seen between EMS regions for all OHCA demographics, arrest characteristics and outcomes. In patients who received an EMS-attempted resuscitation (13,664/31,778): 28% (range across EMS = 13.1% to 36.7%) had return of spontaneous circulation (ROSC) at hospital arrival and 13% (range across EMS = 9.9% to 20.7%) survived to hospital discharge/30-days. Survival in the Utstein comparator group (bystander-witnessed in shockable rhythm) varied across the EMS regions between 27.4% to 42.0%.OHCA across Australia and NZ has varied incidence, characteristics and survival. Understanding the variation in survival and modifiable predictors is key to informing strategies to improve outcomes.

Despite being well established, acute surgery in traumatic acute subdural haematoma is based on low-grade evidence. We aimed to compare the effectiveness of a strategy preferring acute surgical evacuation with one preferring initial conservative treatment in acute subdural haematoma.We did a prospective, observational, comparative effectiveness study using data from participants enrolled in the Collaborative European Neurotrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) cohort. We included patients with no pre-existing severe neurological disorders who presented with acute subdural haematoma within 24 h of traumatic brain injury. Using an instrumental variable analysis, we compared outcomes between centres according to treatment preference for acute subdural haematoma (acute surgical evacuation or initial conservative treatment), measured by the case-mix-adjusted percentage of acute surgery per centre. The primary endpoint was functional outcome at 6 months as rated with the Glasgow Outcome Scale Extended, which was estimated with ordinal regression as a common odds ratio (OR) and adjusted for prespecified confounders. Variation in centre preference was quantified with the median OR (MOR). CENTER-TBI is registered with ClinicalTrials.gov, number NCT02210221, and the Resource Identification Portal (Research Resource Identifier SCR_015582).Between Dec 19, 2014 and Dec 17, 2017, 4559 patients with traumatic brain injury were enrolled in CENTER-TBI, of whom 1407 (31%) presented with acute subdural haematoma and were included in our study. Acute surgical evacuation was done in 336 (24%) patients, by craniotomy in 245 (73%) of those patients and by decompressive craniectomy in 91 (27%). Delayed decompressive craniectomy or craniotomy after initial conservative treatment (n=982) occurred in 107 (11%) patients. The percentage of patients who underwent acute surgery ranged from 5·6% to 51·5% (IQR 12·3-35·9) between centres, with a two-times higher probability of receiving acute surgery for an identical patient in one centre versus another centre at random (adjusted MOR for acute surgery 1·8; p<0·0001]). Centre preference for acute surgery over initial conservative treatment was not associated with improvements in functional outcome (common OR per 23·6% [IQR increase] more acute surgery in a centre 0·92, 95% CI 0·77-1·09).Our findings show that treatment for patients with acute subdural haematoma with similar characteristics differed depending on the treating centre, because of variation in the preferred approach. A treatment strategy preferring an aggressive approach of acute surgical evacuation over initial conservative treatment was not associated with better functional outcome. Therefore, in a patient with acute subdural haematoma for whom a neurosurgeon sees no clear superiority for acute surgery over conservative treatment, initial conservative treatment might be considered.The Hersenstichting Nederland (also known as the Dutch Brain Foundation), the European Commission Seventh Framework Programme, the Hannelore Kohl Stiftung (Germany), OneMind (USA), Integra LifeSciences Corporation (USA), and NeuroTrauma Sciences (USA).

Limited evidence existed on the comparative effectiveness of decompressive craniectomy (DC) versus craniotomy for evacuation of traumatic acute subdural hematoma (ASDH) until the recently published randomised clinical trial RESCUE-ASDH. In this study, that ran concurrently, we aimed to determine current practice patterns and compare outcomes of primary DC versus craniotomy.We conducted an analysis of centre treatment preference within the prospective, multicentre, observational Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (known as CENTER-TBI) and NeuroTraumatology Quality Registry (known as Net-QuRe) studies, which enrolled patients throughout Europe and Israel (2014-2020). We included patients with an ASDH who underwent acute neurosurgical evacuation. Patients with severe pre-existing neurological disorders were excluded. In an instrumental variable analysis, we compared outcomes between centres according to treatment preference, measured by the case-mix adjusted proportion DC per centre. The primary outcome was functional outcome rated by the 6-months Glasgow Outcome Scale Extended, estimated with ordinal regression as a common odds ratio (OR), adjusted for prespecified confounders. Variation in centre preference was quantified with the median odds ratio (MOR). CENTER-TBI is registered with ClinicalTrials.gov, number NCT02210221, and the Resource Identification Portal (Research Resource Identifier SCR_015582).Between December 19, 2014 and December 17, 2017, 4559 patients with traumatic brain injury were enrolled in CENTER-TBI of whom 336 (7%) underwent acute surgery for ASDH evacuation; 91 (27%) underwent DC and 245 (63%) craniotomy. The proportion primary DC within total acute surgery cases ranged from 6 to 67% with an interquartile range (IQR) of 12-26% among 46 centres; the odds of receiving a DC for prognostically similar patients in one centre versus another randomly selected centre were trebled (adjusted median odds ratio 2.7, p < 0.0001). Higher centre preference for DC over craniotomy was not associated with better functional outcome (adjusted common odds ratio (OR) per 14% [IQR increase] more DC in a centre = 0.9 [95% CI 0.7-1.1], n = 200). Primary DC was associated with more follow-on surgeries and complications [secondary cranial surgery 27% vs. 18%; shunts 11 vs. 5%]; and similar odds of in-hospital mortality (adjusted OR per 14% IQR more primary DC 1.3 [95% CI (1.0-3.4), n = 200]).We found substantial practice variation in the employment of DC over craniotomy for ASDH. This variation in treatment strategy did not result in different functional outcome. These findings suggest that primary DC should be restricted to salvageable patients in whom immediate replacement of the bone flap is not possible due to intraoperative brain swelling.Hersenstichting Nederland for the Dutch NeuroTraumatology Quality Registry and the European Union Seventh Framework Program.

Background Patients with traumatic brain injury are a heterogeneous population, and the most severely injured individuals are often treated in an intensive care unit (ICU). The primary injury at impact, and the harmful secondary events that can occur during the first week of the ICU stay, will affect outcome in this vulnerable group of patients. We aimed to identify clinical variables that might distinguish disease trajectories among patients with traumatic brain injury admitted to the ICU. Methods We used data from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) prospective observational cohort study. We included patients aged 18 years or older with traumatic brain injury who were admitted to the ICU at one of the 65 CENTER-TBI participating centres, which range from large academic hospitals to small rural hospitals. For every patient, we obtained pre-injury data and injury features, clinical characteristics on admission, demographics, physiological parameters, laboratory features, brain biomarkers (ubiquitin carboxy-terminal hydrolase L1 [UCH-L1], S100 calcium-binding protein B [S100B], tau, neurofilament light [NFL], glial fibrillary acidic protein [GFAP], and neuron-specific enolase [NSE]), and information about intracranial pressure lowering treatments during the first 7 days of ICU stay. To identify clinical variables that might distinguish disease trajectories, we applied a novel clustering method to these data, which was based on a mixture of probabilistic graph models with a Markov chain extension. The relation of clusters to the extended Glasgow Outcome Scale (GOS-E) was investigated. Findings Between Dec 19, 2014, and Dec 17, 2017, 4509 patients with traumatic brain injury were recruited into the CENTER-TBI core dataset, of whom 1728 were eligible for this analysis. Glucose variation (defined as the difference between daily maximum and minimum glucose concentrations) and brain biomarkers (S100B, NSE, NFL, tau, UCH-L1, and GFAP) were consistently found to be the main clinical descriptors of disease trajectories (ie, the leading variables contributing to the distinguishing clusters) in patients with traumatic brain injury in the ICU. The disease trajectory cluster to which a patient was assigned in a model was analysed as a predictor together with variables from the IMPACT model, and prediction of both mortality and unfavourable outcome (dichotomised GOS-E ≤4) was improved. Interpretation First-day ICU admission data are not the only clinical descriptors of disease trajectories in patients with traumatic brain injury. By analysing temporal variables in our study, variation of glucose was identified as the most important clinical descriptor that might distinguish disease trajectories in the ICU, which should direct further research. Biomarkers of brain injury (S100B, NSE, NFL, tau, UCH-L1, and GFAP) were also top clinical descriptors over time, suggesting they might be important in future clinical practice. Funding European Union 7th Framework program, Hannelore Kohl Stiftung, OneMind, Integra LifeSciences Corporation, and NeuroTrauma Sciences.

In this series of eight articles, the Australian Traumatic Brain Injury Initiative (AUS-TBI) consortium describes the Australian approach used to select the common data elements collected acutely that have been shown to predict outcome following moderate-severe traumatic brain injury (TBI) across the lifespan. This article presents the unified single data dictionary, together with additional measures chosen to facilitate comparative effectiveness research and data linkage. Consultations with the AUS-TBI Lived Experience Expert Group provided insights on the merits and considerations regarding data elements for some of the study areas, as well as more general principles to guide the collection of data and the selection of meaningful measures. These are presented as a series of guiding principles and themes. The AUS-TBI Aboriginal and Torres Strait Islander Advisory Group identified a number of key points and considerations for the project approach specific to Aboriginal and Torres Strait Islander peoples, including key issues of data sovereignty and community involvement. These are outlined in the form of principles to guide selection of appropriate methodologies, data management, and governance. Implementation of the AUS-TBI approach aims to maximize ongoing data collection and linkage, to facilitate personalization of care and improved outcomes for people who experience moderate-severe TBI.

Importance Exposure to traumatic brain injury (TBI) has raised widespread concern over participation in sports, particularly over possible long-term consequences. However, little is known about the outcomes of individuals presenting to hospitals with sports-related TBI. Objective To compare the characteristics and outcomes of individuals presenting to hospitals with sports-related and non–sports-related TBI. Design, Setting, and Participants The CENTER-TBI (Collaborative European NeuroTrauma Effectiveness Research in TBI) observational cohort study was conducted at hospitals in 18 countries. The study enrolled 4509 patients who had TBI and had an indication for computed tomography (CT), of whom 4360 were 16 years or older. Outcomes were assessed at 3 and 6 months, and groups were compared using regression analyses adjusting for clinical and demographic differences. Data were collected between December 9, 2014, and December 17, 2017, and analyzed from August 2022 to March 2023. Exposure Sports-related and non–sports-related TBI with subgroups selected by severity of injury. Main Outcomes and Measures The main outcome was the Glasgow Outcome Scale–Extended (GOSE) at 6 months, with secondary outcomes covering postconcussion symptoms, health-related quality of life, and mental health. Results A total of 4360 patients were studied, including 256 (6%) with sports-related TBI (mean [SD] age, 38.9 [18.1] years; 161 [63%] male) and 4104 with non–sports-related TBI (mean [SD] age, 51.0 [20.2] years; 2773 [68%] male). Compared with patients with non–sports-related TBI, patients with sports-related TBI were younger, more likely to have tertiary education, more likely to be previously healthy, and less likely to have a major extracranial injury. After adjustment, the groups did not differ in incomplete recovery (GOSE scores &amp;amp;lt;8) at 6 months (odds ratio [OR], 1.27; 95% CI, 0.90-1.78; P = .22 for all patients; OR, 1.20; 95% CI, 0.83-1.73; P = .34 for those with mild TBI; and OR, 1.19; 95% CI, 0.74-1.92; P = .65 for those with mild TBI and negative CT findings). At 6 months, there was incomplete recovery in 103 of 223 patients (46%) with outcomes in the sports-related TBI group, 65 of 168 (39%) in those with mild sports-related TBI, and 30 of 98 (31%) in those with mild sports-related TBI and negative CT findings. In contrast, at 6 months, the sports-related TBI group had lower prevalence of anxiety, depression, posttraumatic stress disorder, and postconcussion symptoms than the non–sports-related group. Conclusions and Relevance In this cohort study of 4360 patients with TBI, functional limitations 6 months after injury were common after sports-related TBI, even mild sports-related TBI. Persisting impairment was evident in the sports-related TBI group despite better recovery compared with non–sports-related TBI on measures of mental health and postconcussion symptoms. These findings caution against taking an overoptimistic view of outcomes after sports-related TBI, even if the initial injury appears mild.

The Australian Traumatic Brain Injury Initiative (AUS-TBI) aims to develop a health informatics approach to collect data predictive of outcomes for persons with moderate-severe TBI across Australia. Central to this approach is a data dictionary; however, no systematic reviews of methods to define and develop data dictionaries exist to-date. This rapid systematic review aimed to identify and characterize methods for designing data dictionaries to collect outcomes or variables in persons with neurological conditions. Database searches were conducted from inception through October 2021. Records were screened in two stages against set criteria to identify methods to define data dictionaries for neurological conditions (International Classification of Diseases, 11th Revision: 08, 22, and 23). Standardized data were extracted. Processes were checked at each stage by independent review of a random 25% of records. Consensus was reached through discussion where necessary. Thirty-nine initiatives were identified across 29 neurological conditions. No single established or recommended method for defining a data dictionary was identified. Nine initiatives conducted systematic reviews to collate information before implementing a consensus process. Thirty-seven initiatives consulted with end-users. Methods of consultation were "roundtable" discussion (n = 30); with facilitation (n = 16); that was iterative (n = 27); and frequently conducted in-person (n = 27). Researcher stakeholders were involved in all initiatives and clinicians in 25. Importantly, only six initiatives involved persons with lived experience of TBI and four involved carers. Methods for defining data dictionaries were variable and reporting is sparse. Our findings are instructive for AUS-TBI and can be used to further development of methods for defining data dictionaries.

Background: The Australian Traumatic Brain Injury Initiative (AUS-TBI) is developing a data resource to enable improved outcome prediction for people with moderate-severe TBI (msTBI) across Australia. Fundamental to this resource is the collaboratively designed data dictionary. This systematic review and consultation aimed to identify acute interventions with potential to modify clinical outcomes for people after msTBI, inclusion in a data dictionary. Methods: Standardised searches were implemented across bibliographic databases from inception through April 2022. English-language reports of randomised controlled trials (RCTs) evaluating any association between any acute intervention and clinical outcome, in at least 100 patients with msTBI were included. A predefined algorithm was used to assign a value to each observed association. Consultation with AUS-TBI clinicians and researchers formed the consensus process for interventions to be included in a single data dictionary. Findings: Searches retrieved 14,455 records, of which 124 full-length RCTs were screened, with 35 studies included. These studies evaluated 26 unique acute interventions across 21 unique clinical outcomes. Only four interventions were considered to have medium modifying value for any outcome from the review, with an additional eight interventions agreed upon through the consensus process. The interventions with medium value were tranexamic acid and phenytoin, which had a positive effect on an outcome; and decompressive craniectomy surgery and hypothermia, which negatively affected outcomes. Conclusions: From the systematic review and consensus process, 12 interventions were identified as potential modifiers to be included in the AUS-TBI national data resource.

The first aim of the Australian Traumatic Brain Injury Initiative (AUS-TBI) encompasses development of a set of measures that comprehensively predict outcomes for people with moderate-severe TBI across Australia. This process engaged diverse stakeholders and information sources across six areas: social, health, and clinical factors; biological markers; treatments; and longer-term outcomes. Here, we report the systematic review of pre-existing health conditions as predictors of outcome for people with moderate-severe TBI. Standardized searches were implemented across databases until March 31, 2022. English-language reports of studies evaluating association between pre-existing health conditions and clinical outcome in at least 10 patients with moderate-severe TBI were included. A predefined algorithm was used to assign a judgement of predictive value to each observed association. The list of identified pre-existing health conditions was then discussed with key stakeholders during a consensus meeting to determine the feasibility of incorporating them into standard care. The searches retrieved 22,217 records, of which 47 articles were included. The process led to identification of 88 unique health predictors (homologized to 21 predictor categories) of 55 outcomes (homologized to 19 outcome categories). Only pre-existing health conditions with high and moderate predictive values were discussed during the consensus meeting. Following the consensus meeting, 5 out of 11 were included (migraine, mental health conditions, ≥4 pre-existing health conditions, osteoporosis, and body mass index [BMI]) as common data elements in the AUS-TBI data dictionary. Upon further discussion, 3 additional pre-existing health conditions were included. These are pre-existing heart disease, frailty score, and previous incidence of TBI.

Medical Journal of AustraliaVolume 187, Issue 1 p. 14-17 Research The relationship between compensable status and long-term patient outcomes following orthopaedic trauma Belinda J Gabbe BPhysio(Hons), MAppSc, PhD, Belinda J Gabbe BPhysio(Hons), MAppSc, PhD Senior Research Fellow Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC.Search for more papers by this authorPeter A Cameron MB BS, FACEM, Corresponding Author Peter A Cameron MB BS, FACEM Head, Pre-hospital, Emergency and Trauma Group peter.cameron@med.monash.edu.au Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC.Correspondence: peter.cameron@med.monash.edu.auSearch for more papers by this authorOwen D Williamson GradDipEpi, FRACS, FAOrtho, Owen D Williamson GradDipEpi, FRACS, FAOrtho Senior Lecturer Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC.Search for more papers by this authorElton R Edwards MB BS, FRACS, FAOrthA, Elton R Edwards MB BS, FRACS, FAOrthA Orthopaedic Surgeon Department of Trauma Surgery, National Trauma Research Institute, Alfred Hospital, Melbourne, VIC.Search for more papers by this authorStephen E Graves DPhil, FRACS, FAOrthA, Stephen E Graves DPhil, FRACS, FAOrthA Orthopaedic Surgeon Department of Medicine, University of Melbourne, Melbourne, VIC.Search for more papers by this authorMartin D Richardson MS, FRACS, FAOrthA, Martin D Richardson MS, FRACS, FAOrthA Orthopaedic Surgeon Department of Orthopaedics, Royal Melbourne Hospital, Melbourne, VIC.Search for more papers by this author Belinda J Gabbe BPhysio(Hons), MAppSc, PhD, Belinda J Gabbe BPhysio(Hons), MAppSc, PhD Senior Research Fellow Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC.Search for more papers by this authorPeter A Cameron MB BS, FACEM, Corresponding Author Peter A Cameron MB BS, FACEM Head, Pre-hospital, Emergency and Trauma Group peter.cameron@med.monash.edu.au Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC.Correspondence: peter.cameron@med.monash.edu.auSearch for more papers by this authorOwen D Williamson GradDipEpi, FRACS, FAOrtho, Owen D Williamson GradDipEpi, FRACS, FAOrtho Senior Lecturer Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC.Search for more papers by this authorElton R Edwards MB BS, FRACS, FAOrthA, Elton R Edwards MB BS, FRACS, FAOrthA Orthopaedic Surgeon Department of Trauma Surgery, National Trauma Research Institute, Alfred Hospital, Melbourne, VIC.Search for more papers by this authorStephen E Graves DPhil, FRACS, FAOrthA, Stephen E Graves DPhil, FRACS, FAOrthA Orthopaedic Surgeon Department of Medicine, University of Melbourne, Melbourne, VIC.Search for more papers by this authorMartin D Richardson MS, FRACS, FAOrthA, Martin D Richardson MS, FRACS, FAOrthA Orthopaedic Surgeon Department of Orthopaedics, Royal Melbourne Hospital, Melbourne, VIC.Search for more papers by this author First published: 02 July 2007 https://doi.org/10.5694/j.1326-5377.2007.tb01108.xCitations: 98Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract Objective: To determine the relationship between compensable status in a “no-fault” compensation scheme and long-term outcomes after orthopaedic trauma. Design and setting: Prospective cohort study within two adult Level 1 trauma centres in Victoria, Australia. Participants: Blunt trauma patients aged 18–64 years, admitted between September 2003 and August 2004 with orthopaedic injuries and funded by the no-fault compensation scheme for transport-related injury, or deemed non-compensable. Main outcome measures: 12-item Short Form Health Survey (SF-12) and return to work or study at 12 months after injury. Results: Of 1033 eligible patients, 707 (68.8%) provided follow-up data; 450 compensable and 247 non-compensable patients completed the study. After adjusting for differences across the groups (age, injury severity, head injury status, injury group, and discharge destination) using multivariate analyses, compensable patients were more likely than non-compensable patients to report moderate to severe disability at follow-up for the physical (adjusted odds ratio [AOR], 2.0; 95% CI, 1.3–2.9), and mental (AOR, 1.6; 95% CI, 1.1–2.5) summary scores of the SF-12. Compensable patients were less likely than non-compensable patients to have returned to work or study, even after adjusting for injury severity, age, head injury status and discharge destination (AOR, 0.6; 95% CI, 0.3–0.9). Conclusions: Patients covered by the no-fault compensation system for transport-related injuries in Victoria had worse outcomes than non-compensable patients. Citing Literature Volume187, Issue1July 2007Pages 14-17 RelatedInformation

The sport of boxing has been the source of much debate, with concerns about the neurological risks of participating having led to many calls to ban the sport. This review seeks to establish an evidence base for the development of boxing-related chronic traumatic encephalopathy (CTE) and to determine the relevance of this information to the modern day sport.The clinical features of CTE include various symptoms affecting the pyramidal and extrapyramidal systems, which manifest most often as disturbed gait and coordination, slurred speech and tremors, as well as cerebral dysfunction causing cognitive impairments and neurobehavioural disturbances. Both amateur and professional boxers are potentially at risk of developing CTE. No current epidemiological evidence exists to determine the prevalence of this condition in modern day boxing, despite 17% of professional boxers in Britain with careers in the 1930-50s having clinical evidence of CTE. As medical presence within the sport increases and with modern boxers likely to have shorter careers, a reduced exposure to repetitive head trauma, and improved treatment and understanding of the development of CTE will occur. This should lead to the incidence of CTE diminishing in boxing populations.

Objective: To compare the survival rate from out-of-hospital cardiac arrest in rural and urban areas of Victoria, and to investigate the factors associated with these differences. Design: Retrospective case series using data from the Victorian Ambulance Cardiac Arrest Registry. Setting: All out-of-hospital cardiac arrests occurring in Victoria that were attended by Rural Ambulance Victoria or the Metropolitan Ambulance Service. Participants: 1790 people who suffered a bystander-witnessed cardiac arrest between January 2002 and December 2003. Results: Bystander cardiopulmonary resuscitation was more likely in rural (65.7%) than urban areas (48.4%) (P = 0.001). Urban patients with bystander-witnessed cardiac arrest were more likely to arrive at an emergency department with a cardiac output (odds ratio [OR], 2.92; 95% CI, 1.65–5.17; P < 0.001), and to be discharged from hospital alive than rural patients (urban, 125/1685 [7.4%]; rural, 2/105 [1.9%]; OR, 4.13; 95% CI, 1.09–34.91). Major factors associated with survival to hospital admission were distance of cardiac arrest from the closest ambulance branch (OR, 0.87; 95% CI, 0.82–0.92), endotracheal intubation (OR, 3.46; 95% CI, 2.49–4.80), and the presence of asystole (OR, 0.50; 95% CI, 0.38–0.67) or pulseless electrical activity (OR, 0.73; 95% CI, 0.56–0.95) on arrival of the first ambulance crew. Conclusions: Survival rates differ between urban and rural cardiac arrest patients. This is largely due to a difference in ambulance response time. As it is impractical to substantially decrease response times in rural areas, other strategies that may improve outcome after cardiac arrest require investigation.

Medical Journal of AustraliaVolume 191, Issue 1 p. 11-16 Research Black Saturday: the immediate impact of the February 2009 bushfires in Victoria, Australia Peter A Cameron MB BS, MD, FACEM, Corresponding Author Peter A Cameron MB BS, MD, FACEM Head, Pre-hospital and Emergency Trauma Group Peter.Cameron@med.monash.edu.au Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC.Correspondence: Peter.Cameron@med.monash.edu.auSearch for more papers by this authorBiswadev Mitra MB BS, MHSM, FACEM, Biswadev Mitra MB BS, MHSM, FACEM Emergency Physician; Emergency Physician Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC. The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorMark Fitzgerald MB BS, FACEM, Mark Fitzgerald MB BS, FACEM Director, Emergency and Trauma Centre The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorCarlos D Scheinkestel FRACP, FJFICM, DipDHM, Carlos D Scheinkestel FRACP, FJFICM, DipDHM Director, Intensive Care Unit The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorAndrew Stripp BBSc(Hons), MSc, Andrew Stripp BBSc(Hons), MSc Executive Director Operations The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorChris Batey CCRN, Chris Batey CCRN Nurse Unit Manager, Emergency and Trauma Centre The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorLouise Niggemeyer RN, ICCert, MEd, Louise Niggemeyer RN, ICCert, MEd Trauma Program Manager, Emergency and Trauma Centre The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorMelinda Truesdale MB BS, FACEM, GradDipHSM, Melinda Truesdale MB BS, FACEM, GradDipHSM Director, Emergency and Trauma Services Royal Melbourne Hospital, Melbourne, VIC.Search for more papers by this authorPaul Holman ASM, GradDipHealthAdmin, MACAP, Paul Holman ASM, GradDipHealthAdmin, MACAP Operations Manager Specialist Emergency Response Department, Ambulance Victoria, Melbourne, VIC.Search for more papers by this authorRishi Mehra MB BS, PGDipEcho, FANZCA, Rishi Mehra MB BS, PGDipEcho, FANZCA Anaesthetist The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorJason Wasiak MPH, BN, GradDipCritCareNurs, Jason Wasiak MPH, BN, GradDipCritCareNurs Senior Research Officer, Victorian Adult Burns Service The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorHeather Cleland MB BS, FRACS, Heather Cleland MB BS, FRACS Director, Burns Unit The Alfred Hospital, Melbourne, VIC.Search for more papers by this author Peter A Cameron MB BS, MD, FACEM, Corresponding Author Peter A Cameron MB BS, MD, FACEM Head, Pre-hospital and Emergency Trauma Group Peter.Cameron@med.monash.edu.au Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC.Correspondence: Peter.Cameron@med.monash.edu.auSearch for more papers by this authorBiswadev Mitra MB BS, MHSM, FACEM, Biswadev Mitra MB BS, MHSM, FACEM Emergency Physician; Emergency Physician Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC. The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorMark Fitzgerald MB BS, FACEM, Mark Fitzgerald MB BS, FACEM Director, Emergency and Trauma Centre The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorCarlos D Scheinkestel FRACP, FJFICM, DipDHM, Carlos D Scheinkestel FRACP, FJFICM, DipDHM Director, Intensive Care Unit The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorAndrew Stripp BBSc(Hons), MSc, Andrew Stripp BBSc(Hons), MSc Executive Director Operations The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorChris Batey CCRN, Chris Batey CCRN Nurse Unit Manager, Emergency and Trauma Centre The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorLouise Niggemeyer RN, ICCert, MEd, Louise Niggemeyer RN, ICCert, MEd Trauma Program Manager, Emergency and Trauma Centre The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorMelinda Truesdale MB BS, FACEM, GradDipHSM, Melinda Truesdale MB BS, FACEM, GradDipHSM Director, Emergency and Trauma Services Royal Melbourne Hospital, Melbourne, VIC.Search for more papers by this authorPaul Holman ASM, GradDipHealthAdmin, MACAP, Paul Holman ASM, GradDipHealthAdmin, MACAP Operations Manager Specialist Emergency Response Department, Ambulance Victoria, Melbourne, VIC.Search for more papers by this authorRishi Mehra MB BS, PGDipEcho, FANZCA, Rishi Mehra MB BS, PGDipEcho, FANZCA Anaesthetist The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorJason Wasiak MPH, BN, GradDipCritCareNurs, Jason Wasiak MPH, BN, GradDipCritCareNurs Senior Research Officer, Victorian Adult Burns Service The Alfred Hospital, Melbourne, VIC.Search for more papers by this authorHeather Cleland MB BS, FRACS, Heather Cleland MB BS, FRACS Director, Burns Unit The Alfred Hospital, Melbourne, VIC.Search for more papers by this author First published: 06 July 2009 https://doi.org/10.5694/j.1326-5377.2009.tb02666.xCitations: 74Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract Objective: To examine the response of the Victorian State Trauma System to the February 2009 bushfires. Design and setting: A retrospective review of the strategic response required to treat patients with bushfire-related injury in the first 72 hours of the Victorian bushfires that began on 7 February 2009. Emergency department (ED) presentations and initial management of patients presenting to the state's adult burns centre (The Alfred Hospital [The Alfred]) were analysed, as well as injuries and deaths associated with the fires. Results: There were 414 patients who presented to hospital EDs as a result of the bushfires. Patients were triaged at the emergency scene, at treatment centres and in hospital. National and statewide burns disaster plans were activated. Twenty-two patients with burns presented to the state's burns referral centres, of whom 18 were adults. Adult burns patients at The Alfred spent 48.7 hours in theatre in the first 72 hours. There were a further 390 bushfire-related ED presentations across the state in the first 72 hours. Most patients with serious burns were triaged to and managed at burns referral centres. Throughout the disaster, burns referral centres continued to have substantial surge capacity. Conclusions: Most bushfire victims either died, or survived with minor injuries. As a result of good prehospital triage and planning, the small number of patients with serious burns did not overload the acute health care system. Citing Literature Volume191, Issue1July 2009Pages 11-16 RelatedInformation

Background: Pain is a common presenting complaint and there is considerable debate regarding the best practice for analgesia in the pre-hospital environment for trauma patients with severe pain. Methods: A review of the literature was conducted using a number of electronic medical literature databases from their earliest record to the latest available at the time the search was conducted (May 2010). Medical Subject Headings, keywords and a pre-hospital search filter were used to yield relevant literature. Results: The search strategy yielded a total of 837 references. Seven hundred and fifty of these references were excluded as they did not meet the inclusion criteria. Of the 87 articles short listed for abstract or full-text review, six reported on ketamine use as an analgesic agent in the pre-hospital setting. Two papers were prospective randomized-controlled trials, and the number of patients included in the studies ranged from 4 to 164. Three studies aimed to report on the effectiveness of ketamine for pain intensity reduction; two concluded that ketamine provided safe and effective pain relief and one reported that ketamine reduced the amount of morphine required but was not associated with a reduction in pain intensity. One study identified a significantly higher prevalence of adverse effects following ketamine administration. The other studies reported no significant side effects and concluded that ketamine was safe. Conclusion: Ketamine is a safe and effective analgesic agent. The addition of ketamine as an analgesic agent may improve the management of patients presenting with acute traumatic pain in the pre-hospital setting.

Australia is developing a national performance framework aimed at measuring health outcomes across the health system. Clinical registries provide a clinically credible means of monitoring health care processes and outcomes, yet only five Australian registries currently have national coverage. At a national level, clinical registry development should be prioritised to target conditions or procedures that are suspected of being associated with large variations in processes or outcomes of care and that impact significantly on health care costs and patient morbidity. Registries should also aim to capture information across care interfaces and to monitor the medium and long-term safety and effectiveness of specific devices, procedures and drugs.

Trauma systems have been successful in saving lives and preventing disability. Making sure that the right patient gets the right treatment in the shortest possible time is integral to this success. Most trauma systems have not fully developed trauma triage to optimize outcomes. For trauma triage to be effective, there must be a well-developed pre-hospital system with an efficient dispatch system and adequately resourced ambulance system. Hospitals must have clear designations of the level of service provided and agreed protocols for reception of patients. The response within the hospital must be targeted to ensure the sickest patients get an immediate response. To enable the most appropriate response to trauma patients across the system, a well-developed monitoring programme must be in place to ensure constant refinement of the clinical response. This article gives a brief overview of the current approach to triaging trauma from time of dispatch to definitive treatment.

Globally, populations are ageing, creating challenges for trauma system design. Despite this, little is known about causes of injury and long-term outcomes in older injured patients. This study aims to describe temporal trends in the incidence, causes and functional outcomes of major trauma in older adults.The population-based Victorian State Trauma Registry was used to identify patients with major trauma aged 65 years and older with a date of injury between 1 January 2007 and 31 December 2016. Temporal trends in population-based incidence rates were evaluated. Functional outcome was measured using the Glasgow Outcome Scale - Extended.There were 9250 older adults with major trauma during the study period. Low falls were the most common mechanism of injury (62·5 per cent), followed by transport-related events (22·2 per cent) and high falls (9·5 per cent). The number of patients with major trauma aged 65 years and older more than doubled from 2007 to 2016, and the incidence increased by 4·3 per cent per year (incidence rate ratio 1·043, 95 per cent c.i. 1·035 to 1·050; P < 0·001). At 12 months after injury, 41·8 per cent of older adults with major trauma had died, and 52·2 per cent of those who survived to hospital discharge were not living independently.The number and proportion of older adults with major trauma are increasing rapidly and this will impact on trauma system design. Given the poor long-term outcomes, there needs to be greater emphasis on ensuring that appropriate interventions are targeted to the right patients and enhanced efforts in primary prevention.

Understanding factors that influence the distance that drivers provide when passing cyclists is critical to reducing subjective risk and improving cycling participation. This study aimed to quantify passing distance and assess the impact of motor vehicle and road infrastructure characteristics on passing distance.An on-road observational study was conducted in Victoria, Australia. Participants had a custom device installed on their bicycle and rode as per their usual cycling for one to two weeks. A hierarchical linear model was used to investigate the relationship between motor vehicle and infrastructure characteristics (location, presence of on-road marked bicycle lane and the presence of parked cars on the kerbside) and passing distance (defined as the lateral distance between the end of the bicycle handlebars and the passing motor vehicle).Sixty cyclists recorded 18,527 passing events over 422 trips. The median passing distance was 173 cm (Q1: 137 cm, Q3: 224 cm) and 1085 (5.9%) passing events were less than 100 cm. Relative to sedans, 4WDs had a reduced mean passing distance of 15 cm (Q1: 12 cm, Q3: 17 cm) and buses had a reduced mean passing distance of 28 cm (Q1: 16 cm, Q3: 40 cm). Relative to passing events that occurred on roads without a marked bicycle lane and without parked cars, passing events on roads with a bike lane with no parked cars had a reduced mean passing distance of 27 cm (Q1: 25 cm, Q3: 29 cm), and passing events on roads with a bike lane and parked cars had a mean lower passing distance of 40 cm (Q1: 37 cm, Q3: 43 cm).One in every 17 passing events was a close (<100 cm) passing event. We identified that on-road bicycle lanes and parked cars reduced passing distance. These data can be used to inform the selection and design of cycling-related infrastructure and road use with the aim of improving safety for cyclists.

To characterize patterns of engagement in work during the 4-year period after major traumatic injury, and to identify factors associated with those patterns.Employment is an important marker of functional recovery from injury. There are few population-based studies of long-term employment outcomes, and limited data on the patterns of return to work (RTW) after injury.A population-based, prospective cohort study using the Victorian State Trauma Registry. A total of 1086 working age individuals, in paid employment or full-time education before injury, were followed-up through telephone interview at 6, 12, 24, 36, and 48 months post-injury. Responses to RTW questions were used to define 4 discrete patterns: early and sustained; delayed; failed; no RTW. Predictors of RTW patterns were assessed using multivariate multinomial logistic regression.Slightly more than half of respondents (51.6%) recorded early sustained RTW. A further 15.5% had delayed and 13.3% failed RTW. One in 5 (19.7%) did not RTW. Compared with early sustained RTW, predictors of delayed and no RTW included being in a manual occupation and injury in a motor vehicle accident. Older age and receiving compensation predicted both failed and no RTW patterns. Preinjury disability was an additional predictor of failed RTW. Presence of comorbidity was an additional predictor of no RTW.A range of personal, occupational, injury, health, and compensation system factors influence RTW patterns after serious injury. Early identification of people at risk for delayed, failed, or no RTW is needed so that targeted interventions can be delivered.

Background Falls are a leading reason for older people presenting to the emergency department (ED), and many experience further falls. Little evidence exists to guide secondary prevention in this population. This randomised controlled trial (RCT) investigated whether a 6-month telephone-based patient-centred program—RESPOND—had an effect on falls and fall injuries in older people presenting to the ED after a fall. Methods and findings Community-dwelling people aged 60–90 years presenting to the ED with a fall and planned for discharge home within 72 hours were recruited from two EDs in Australia. Participants were enrolled if they could walk without hands-on assistance, use a telephone, and were free of cognitive impairment (Mini-Mental State Examination > 23). Recruitment occurred between 1 April 2014 and 29 June 2015. Participants were randomised to receive either RESPOND (intervention) or usual care (control). RESPOND comprised (1) home-based risk assessment; (2) 6 months telephone-based education, coaching, goal setting, and support for evidence-based risk factor management; and (3) linkages to existing services. Primary outcomes were falls and fall injuries in the 12-month follow-up. Secondary outcomes included ED presentations, hospital admissions, fractures, death, falls risk, falls efficacy, and quality of life. Assessors blind to group allocation collected outcome data via postal calendars, telephone follow-up, and hospital records. There were 430 people in the primary outcome analysis—217 randomised to RESPOND and 213 to control. The mean age of participants was 73 years; 55% were female. Falls per person-year were 1.15 in the RESPOND group and 1.83 in the control (incidence rate ratio [IRR] 0.65 [95% CI 0.43–0.99]; P = 0.042). There was no significant difference in fall injuries (IRR 0.81 [0.51–1.29]; P = 0.374). The rate of fractures was significantly lower in the RESPOND group compared with the control (0.05 versus 0.12; IRR 0.37 [95% CI 0.15–0.91]; P = 0.03), but there were no significant differences in other secondary outcomes between groups: ED presentations, hospitalisations or falls risk, falls efficacy, and quality of life. There were two deaths in the RESPOND group and one in the control group. No adverse events or unintended harm were reported. Limitations of this study were the high number of dropouts (n = 93); possible underreporting of falls, fall injuries, and hospitalisations across both groups; and the relatively small number of fracture events. Conclusions In this study, providing a telephone-based, patient-centred falls prevention program reduced falls but not fall injuries, in older people presenting to the ED with a fall. Among secondary outcomes, only fractures reduced. Adopting patient-centred strategies into routine clinical practice for falls prevention could offer an opportunity to improve outcomes and reduce falls in patients attending the ED. Trial registration Australian New Zealand Clinical Trials Registry (ACTRN12614000336684).

This scoping review aimed to synthesize the available evidence on the epidemiology, patient- and caregiver-associated factors, clinical characteristics, screening tools, prevention, interventions, and perspectives of health care professionals in regard to elder abuse in the out-of-hospital or emergency department (ED) setting. Literature search was performed with MEDLINE, EMBASE, the Cumulative Index of Nursing and Allied Health, PsycINFO, and the Cochrane Library. Studies were eligible if they were observational or experimental and reported on elder abuse in the out-of-hospital or ED setting. A qualitative approach, performed independently by 2 reviewers, was used to synthesize and report the findings. A total of 413 citations were retrieved, from which 55 studies published between 1988 and 2019 were included. The prevalence of elder abuse reported during the ED visit was lower than reported in the community. The most commonly detected type of elder abuse was neglect, and then physical abuse. The following factors were more common in identified cases of elder abuse: female sex, cognitive impairment, functional disability, frailty, social isolation, and lower socioeconomic status. Psychiatric and substance use disorders were more common among victims and their caregivers. Screening tools have been proposed, but multicenter validation and influence of screening on patient-important outcomes were lacking. Health care professionals reported being poorly trained and acknowledged numerous barriers when caring for potential victims. There is insufficient knowledge, limited training, and a poorly organized system in place for elder abuse in the out-of-hospital and ED settings. Studies on the processes and effects of screening and interventions are required to improve care of this vulnerable population. This scoping review aimed to synthesize the available evidence on the epidemiology, patient- and caregiver-associated factors, clinical characteristics, screening tools, prevention, interventions, and perspectives of health care professionals in regard to elder abuse in the out-of-hospital or emergency department (ED) setting. Literature search was performed with MEDLINE, EMBASE, the Cumulative Index of Nursing and Allied Health, PsycINFO, and the Cochrane Library. Studies were eligible if they were observational or experimental and reported on elder abuse in the out-of-hospital or ED setting. A qualitative approach, performed independently by 2 reviewers, was used to synthesize and report the findings. A total of 413 citations were retrieved, from which 55 studies published between 1988 and 2019 were included. The prevalence of elder abuse reported during the ED visit was lower than reported in the community. The most commonly detected type of elder abuse was neglect, and then physical abuse. The following factors were more common in identified cases of elder abuse: female sex, cognitive impairment, functional disability, frailty, social isolation, and lower socioeconomic status. Psychiatric and substance use disorders were more common among victims and their caregivers. Screening tools have been proposed, but multicenter validation and influence of screening on patient-important outcomes were lacking. Health care professionals reported being poorly trained and acknowledged numerous barriers when caring for potential victims. There is insufficient knowledge, limited training, and a poorly organized system in place for elder abuse in the out-of-hospital and ED settings. Studies on the processes and effects of screening and interventions are required to improve care of this vulnerable population.

Men and women differ in outcomes following mild traumatic brain injury (TBI). In the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study, we previously found that women had worse 6-month functional outcome (Glasgow Outcome Score Extended [GOSE]), health-related quality of life (HRQoL), and mental health following mild TBI. The aim of this study was to investigate whether those differences were mediated by psychiatric history, gender-related sociodemographic variables, or by care pathways. We analyzed sex/gender differences in 6-month GOSE, generic and TBI-specific HRQoL, and post-concussion and mental health symptoms using three sets of mediators: psychiatric history, sociodemographic variables (living alone, living with children, education and employment status/job category), and care-pathways (referral to study hospital and discharge destination after emergency department); while controlling for a substantial number of potential confounders (pre-injury health and injury-related characteristics). We included 1842 men and 1022 women (16+) with a Glasgow Coma Score 13-15, among whom 83% had GOSE available and about 60% other 6-month outcomes. We used natural effects models to decompose the total effect of sex/gender on the outcomes into indirect effects that passed through the specified mediators and the remaining direct effects. In our study population, women had worse outcomes and these were only partly explained by psychiatric history, and not considerably explained by sociodemographic variables nor by care pathways. Factors other than differences in specified variables seem to underlie observed differences between men and women in outcomes after mild TBI. Future studies should explore more aspects of gender roles and identity and biological factors underpinning sex and gender differences in TBI outcomes.

In patients with severe brain injury, withdrawal of life-sustaining measures (WLSM) is common in intensive care units (ICU). WLSM constitutes a dilemma: instituting WLSM too early could result in death despite the possibility of an acceptable functional outcome, whereas delaying WLSM could unnecessarily burden patients, families, clinicians, and hospital resources. We aimed to describe the occurrence and timing of WLSM, and factors associated with timing of WLSM in European ICUs in patients with traumatic brain injury (TBI).The CENTER-TBI Study is a prospective multi-center cohort study. For the current study, patients with traumatic brain injury (TBI) admitted to the ICU and aged 16 or older were included. Occurrence and timing of WLSM were documented. For the analyses, we dichotomized timing of WLSM in early (< 72 h after injury) versus later (≥ 72 h after injury) based on recent guideline recommendations. We assessed factors associated with initiating WLSM early versus later, including geographic region, center, patient, injury, and treatment characteristics with univariable and multivariable (mixed effects) logistic regression.A total of 2022 patients aged 16 or older were admitted to the ICU. ICU mortality was 13% (n = 267). Of these, 229 (86%) patients died after WLSM, and were included in the analyses. The occurrence of WLSM varied between regions ranging from 0% in Eastern Europe to 96% in Northern Europe. In 51% of the patients, WLSM was early. Patients in the early WLSM group had a lower maximum therapy intensity level (TIL) score than patients in the later WLSM group (median of 5 versus 10) The strongest independent variables associated with early WLSM were one unreactive pupil (odds ratio (OR) 4.0, 95% confidence interval (CI) 1.3-12.4) or two unreactive pupils (OR 5.8, CI 2.6-13.1) compared to two reactive pupils, and an Injury Severity Score (ISS) if over 41 (OR per point above 41 = 1.1, CI 1.0-1.1). Timing of WLSM was not significantly associated with region or center.WLSM occurs early in half of the patients, mostly in patients with severe TBI affecting brainstem reflexes who were severely injured. We found no regional or center influences in timing of WLSM. Whether WLSM is always appropriate or may contribute to a self-fulfilling prophecy requires further research and argues for reluctance to institute WLSM early in case of any doubt on prognosis.

Abstract Objectives To assess the mental health and wellbeing of health and aged care workers in Australia during the second and third years of the coronavirus disease 2019 (COVID‐19) pandemic, overall and by occupation group. Design, setting, participants Longitudinal cohort study of health and aged care workers (ambulance, hospitals, primary care, residential aged care) in Victoria: May–July 2021 (survey 1), October–December 2021 (survey 2), and May–June 2022 (survey 3). Main outcome measures Proportions of respondents (adjusted for age, gender, socio‐economic status) reporting moderate to severe symptoms of depression (Patient Health Questionnaire‐9, PHQ‐9), anxiety (Generalized Anxiety Disorder scale, GAD‐7), or post‐traumatic stress (Impact of Event Scale‐6, IES‐6), burnout (abbreviated Maslach Burnout Inventory, aMBI), or high optimism (10‐point visual analogue scale); mean scores (adjusted for age, gender, socio‐economic status) for wellbeing (Personal Wellbeing Index–Adult, PWI‐A) and resilience (Connor Davidson Resilience Scale 2, CD‐RISC‐2). Results A total of 1667 people responded to at least one survey (survey 1, 989; survey 2, 1153; survey 3, 993; response rate, 3.3%). Overall, 1211 survey responses were from women (72.6%); most respondents were hospital workers (1289, 77.3%) or ambulance staff (315, 18.9%). The adjusted proportions of respondents who reported moderate to severe symptoms of depression (survey 1, 16.4%; survey 2, 22.6%; survey 3, 19.2%), anxiety (survey 1, 8.8%; survey 2, 16.0%; survey 3, 11.0%), or post‐traumatic stress (survey 1, 14.6%; survey 2, 35.1%; survey 3, 14.9%) were each largest for survey 2. The adjusted proportions of participants who reported moderate to severe symptoms of burnout were higher in surveys 2 and 3 than in survey 1, and the proportions who reported high optimism were smaller in surveys 2 and 3 than in survey 1. Adjusted mean scores for wellbeing and resilience were similar at surveys 2 and 3 and lower than at survey 1. The magnitude but not the patterns of change differed by occupation group. Conclusion Burnout was more frequently reported and mean wellbeing and resilience scores were lower in mid‐2022 than in mid‐2021 for Victorian health and aged care workers who participated in our study. Evidence‐based mental health and wellbeing programs for workers in health care organisations are needed. Trial registration Australian New Zealand Clinical Trials Registry: ACTRN12621000533897 (observational study; retrospective).

Objectives: To conduct a systematic review of how short-stay observation units (SOUs) affect the efficiency of healthcare delivery and the quality of services provided. Data sources: MEDLINE, CINAHL, Best Evidence and The Cochrane Library were searched for the period 1 January 1960 to 31 July 2000. Study selection: Studies were eligible if published in English and rated at National Health and Medical Research Council evidence levels I, II-1, II-2, or II-3; 12 comparative studies published between 1985 and 1998 met these criteria. Data extraction: Data pertaining to clinical outcomes, length of stay, re-presentation rates, emergency department efficiency and costs of care were extracted and evaluated independently. Data synthesis: As there was considerable heterogeneity in the patient populations and outcomes, results were summarised rather than subjected to meta-analysis. Conclusion: SOUs have the potential to increase patient satisfaction, reduce length of stay, improve the efficiency of emergency departments and improve cost effectiveness. However, SOUs have commonly been implemented alongside new clinical protocols, and it is not possible to distinguish the relative benefits of each. As demand increases, providing effective and cost-efficient care will become increasingly important. SOUs may help organisations that are attempting to streamline patient care while maintaining their quality of service delivery.

The use of guidelines regarding the termination or withholding of cardiopulmonary resuscitation (CPR) in traumatic cardiac arrest patients remains controversial. This study aimed to describe the outcomes for victims of penetrating and blunt trauma who received prehospital CPR.We conducted a retrospective review of a statewide major trauma registry using data from 2001 to 2004. Subjects suffered penetrating or blunt trauma, received CPR in the field by paramedics and were transported to hospital. Demographics, vital signs, injury severity, prehospital time, length of stay and mortality data were collected and analysed.Eighty-nine patients met inclusion criteria. Eighty percent of these were blunt trauma victims, with a mortality rate of 97%, while penetrating trauma patients had a mortality rate of 89%. The overall mortality rate was 95%. Sixty-six percent of patients had a length of stay of less than 1 day. Four patients survived to discharge, of which two were penetrating and two were blunt injuries. Hypoxia and electrical injury were probable associated causes of two cardiac arrests seen in survivors of blunt injury.While only a small number of penetrating and blunt trauma patients receiving CPR survived to discharge, this therapy is not always futile. Prehospital emergency personnel need to be aware of possible hypoxic and electrical causes for cardiac arrest appearing in combination with traumatic injuries.

The Glasgow Coma Scale (GCS) was first introduced in the 1970s to provide a simple and reliable method of recording and monitoring change in the level of consciousness of head injured patients. Since its introduction, the GCS has been widely utilized in the trauma community and its use expanded beyond the original intentions of the score. In the context of traumatic injury, this paper discusses the use of the GCS as a predictor of outcome, the limitations of the GCS, the reliability of the GCS and potential alternatives through a critical review of the literature. The relevance to Australian trauma populations is also addressed.

Trauma registries are integral to trauma systems, but reliance on mortality as the primary outcome measure remains a limitation. Some registries have included measures of discharge function, usually the modified Functional Independence Measure (FIM) or the Glasgow Outcome Scale (GOS), with the potential benefit being the ability to identify patients at risk for poor outcome. This study investigates the ability of these measures to predict longer term outcomes.Two hundred forty-three blunt major trauma patients participated. Data were captured from the trauma registry and discharge function was assessed using the modified FIM, FIM, and GOS. At 6 months postinjury, the GOS, FIM, modified FIM, return to work/study, and other outcome measures were collected by telephone interview. Multivariate analyses were used to assess the performance of discharge functional measures as predictors of 6-month outcomes.Two hundred thirty-six (97.1%) participants were followed at 6 months postinjury. Disability was prevalent at 6 months; 42% had not returned to work/study, and only 32% were categorized as a "good recovery" by the GOS. Neither the GOS nor modified FIM at discharge were independent predictors of 6-month outcomes, whereas the FIM score and the FIM motor score were independent predictors of functional recovery (adjusted odds ratios 0.97; 95% confidence intervals: 0.96-0.99) and return to work/study (adjusted odds ratios 1.03, 95% confidence intervals: 1.01-1.04), respectively.For trauma registries to compare outcomes between regions and improvements over time, it is important that survivors with poor long-term outcomes are identified. Present measurement of discharge outcomes for trauma patients is inadequate for this purpose.

The objective of this review was to critically appraise the literature relating to associations between high-level structural and operational hospital characteristics and improved performance. The Cochrane Library, MEDLINE (Ovid), CINAHL, proQuest and PsychINFO were searched for articles published between January 1996 and May 2010. Reference lists of included articles were reviewed and key journals were hand searched for relevant articles. Studies were included if they were systematic reviews or meta-analyses, randomized controlled trials, controlled before and after studies or observational studies (cohort and cross-sectional) that were multicentre, comparative performance studies. Two reviewers independently extracted data, assigned grades of evidence according to the Australian National Health and Medical Research Council guidelines and critically appraised the included articles. Fifty-seven studies were reported within 12 systematic reviews and 47 observational articles. There was heterogeneity in use and definition of performance outcomes. Hospital characteristics investigated were environment (incentives, market characteristics), structure (network membership, ownership, teaching status, geographical setting, service size) and operational design (innovativeness, leadership, organizational culture, public reporting and patient safety practices, information technology systems and decision support, service activity and planning, workforce design, staff training and education). The strongest evidence for an association with overall performance was identified for computerized physician order entry systems. Some evidence supported the associations with workforce design, use of financial incentives, nursing leadership and hospital volume. There is limited, mainly low-quality evidence, supporting the associations between hospital characteristics and healthcare performance. Further characteristic-specific systematic reviews are indicated.

Pediatric trauma results in lower mortality than adults and a high potential for lifelong functional impairment and reduced health-related quality of life (HRQL). There is no consensus regarding the best approach to measuring outcomes in this group.One hundred and fifty injured children admitted to a pediatric trauma center participated in this study. The Pediatric Quality of Life Inventory (PedsQL), Child Health Questionnaire (CHQ-PF28), King's Outcome Scale for Childhood Head Injury (KOSCHI), modified Glasgow Outcome Scale (mGOS), and the Functional Independence Measure (FIM) were administered at 1 month, 6 months, and 12 months after injury by telephone. Change in instrument scores was assessed using multilevel mixed effects models. Mean HRQL scores were compared with population norms for the CHQ-PF28 and with healthy children for the PedsQL.Follow-up at all time points was completed for 144 (96%) cases. The median injury severity score was 10, and 65% of the patients enrolled were men. At 12 months, the percentage of cases with ongoing disability was 14% for the FIM, 61% using the mGOS, and 58% for the KOSCHI. CHQ-PF28 physical and PedsQL psychosocial health scores were below healthy child norms at 12 months. Improvement across all time points was demonstrated for the KOSCHI, mGOS, CHQ-PF28 physical, and PedsQL psychosocial summary scores.Seriously injured children showed ongoing disability and reduced HRQL 12 months after injury. The CHQ-PF28 and PedsQL, and the mGOS and KOSCHI, performed comparably. The FIM demonstrated considerable ceiling effects, and improvement over time was not shown. The results inform the methodology of pediatric outcomes studies and protocol development for the routine follow-up of pediatric trauma patients.

Previous studies of paediatric cardiac arrest have reported a low survival rate but there is limited data from Australia. We sought to determine the characteristics and outcomes of paediatric out-of-hospital cardiac arrest in Melbourne, Australia.Between October 1999 and June 2007, all cases of out-of-hospital cardiac arrest attended by emergency medical services in Melbourne, Australia were entered into a database (the Victorian Ambulance Cardiac Arrest Registry). Data on patients aged less than 16 years in cardiac arrest on arrival of ambulance paramedics was analysed.There were 209 children in cardiac arrest on arrival of paramedics during the study period. Of these, resuscitation was not attempted in 16 children due to signs of definite death. Of the 193 children who had attempted resuscitation, 143 (74%) had an initial cardiac rhythm of asystole, 36 (18%) were in pulseless electrical activity and 14 (7%) were in ventricular fibrillation. There were 49 patients (25%) with return of spontaneous circulation at arrival to hospital of whom 14 (7%) survived to hospital discharge. Of 138 patients without return of a circulation, 120 were transported to hospital with continuing resuscitation and one survived (0.9%). Survival was higher in patients with an initial cardiac rhythm of ventricular fibrillation (5/14; 35%) compared with other rhythms (10/179; 4%), OR 9.38, 95% CI 2.64-33.2.Overall, 7.7% of paediatric patients with out-of-hospital cardiac arrest survive to leave hospital. Increased survival was seen if the initial cardiac rhythm was ventricular fibrillation. Survival was very rare (<1%) unless there was return of spontaneous circulation prior to hospital arrival.

Background Previous studies have reported improvements in out-of-hospital cardiac arrest (OHCA) outcomes with the introduction of the 2005 cardiopulmonary resuscitation guidelines however they have not adjusted for underlying trends in OHCA survival. We compare outcomes before and after the 2005 guideline changes adjusting for underlying trends in OHCA survival. Methods The Victorian Ambulance Cardiac Arrest Registry (VACAR) was searched for adult (≥16 years) OHCA of presumed cardiac aetiology, unwitnessed by paramedics with attempted resuscitation. Outcomes for OHCA occurring between 2003 and 2005 were compared with 2007–2009. Segmented regression analysis of interrupted time series data was performed, adjusting for known predictors, to examine changes in survival to hospital and survival to hospital discharge. Results For the pre- and post- guideline periods there were 3115 and 3248 OHCAs, respectively. Asystole increased as presenting rhythm (33–43%, p < 0.001) as did median EMS response times (7.1–7.8 min, p < 0.001) over the two periods. VF/VT arrests decreased (40–35.5%, p = 0.001) as did bystander witnessed arrests (63–59%, p = 0.002). On univariate analysis survival to hospital discharge improved between the two periods (9.4–11.8%, p = 0.002) due to improved outcomes in VF/VT (19–28%, p < 0.001). Segmented regression analysis of interrupted time series data showed improvement in the rate of survival to get to hospital for shockable and non-shockable rhythms [OR (95% CI) = 1.54 (1.10–2.15, p = 0.01) and 1.45 (1.10–2.00, p = 0.02), respectively] following implementation of the guidelines however survival to hospital discharge did not improve [OR = 1.07 (0.70–1.62, p = 0.70) and 1.40 (0.69–2.85, p = 0.40), respectively]. Conclusions OHCA outcomes have improved since introduction of the 2005 CPR guidelines, but multivariable segmented regression analysis adjusting for pre-existing trends in survival suggests that this improvement may not be due to implementation of the 2005 resuscitation guidelines.

Abstract Background: Clinical quality registries gather and analyse information to monitor and enhance the quality of care received by patients. The aim of the present study was to determine the attributes of Australian clinical registries to identify their capacity to accurately assess quality of care. Methods: A survey was distributed to registry custodians managing multi‐site clinical outcome registries. They were asked to self‐report on general aspects of registries, including coverage, length of operation, data collection process, data management, quality of data and registry governance structures. Results: A total of 28 registries were identified and all provided responses to the survey. The majority of the registries require modifications to their procedures in order to provide useful and reliable information for quality improvement purposes. Thirteen registries (46%) did not assess or recruited fewer than 80% of the eligible population and 23 (82%) did not formally audit reliability of coding at the clinical level. Five (18%) did not collect the information required for basic risk adjustment of outcome measures. While most registries produced reports for providers and interested parties, the approach to disseminating this information was highly variable. Conclusion: Clinical registries provide the most credible information about quality of care. However, most key registries in Australia require some adaptation of procedures in order to accomplish this task. Funding should be provided to enable registries to make the necessary changes.

Medical Journal of AustraliaVolume 194, Issue 12 p. 645-648 Viewpoint Using hospital standardised mortality ratios to assess quality of care — proceed with extreme caution Ian A Scott MHA, MEd, FRACP, Corresponding Author Ian A Scott MHA, MEd, FRACP Director ian_scott@health.qld.gov.au Department of Internal Medicine and Clinical Epidemiology, Princess Alexandra Hospital, Brisbane, QLD.Correspondence: ian_scott@health.qld.gov.auSearch for more papers by this authorCaroline A Brand BA, MPH, FRACP, Caroline A Brand BA, MPH, FRACP Associate Professor Centre for Research Excellence in Patient Safety, Monash University, Melbourne, VIC.Search for more papers by this authorGrant E Phelps MBA, FRACP, AFRACMA, Grant E Phelps MBA, FRACP, AFRACMA Gastroenterologist Ballarat Health Services, Ballarat, VIC.Search for more papers by this authorAnna L Barker BPhty, MPhty, PhD, Anna L Barker BPhty, MPhty, PhD Research Fellow Centre for Research Excellence in Patient Safety, Monash University, Melbourne, VIC.Search for more papers by this authorPeter A Cameron MB BS, MD, FACEM, Peter A Cameron MB BS, MD, FACEM Director Centre for Research Excellence in Patient Safety, Monash University, Melbourne, VIC.Search for more papers by this author Ian A Scott MHA, MEd, FRACP, Corresponding Author Ian A Scott MHA, MEd, FRACP Director ian_scott@health.qld.gov.au Department of Internal Medicine and Clinical Epidemiology, Princess Alexandra Hospital, Brisbane, QLD.Correspondence: ian_scott@health.qld.gov.auSearch for more papers by this authorCaroline A Brand BA, MPH, FRACP, Caroline A Brand BA, MPH, FRACP Associate Professor Centre for Research Excellence in Patient Safety, Monash University, Melbourne, VIC.Search for more papers by this authorGrant E Phelps MBA, FRACP, AFRACMA, Grant E Phelps MBA, FRACP, AFRACMA Gastroenterologist Ballarat Health Services, Ballarat, VIC.Search for more papers by this authorAnna L Barker BPhty, MPhty, PhD, Anna L Barker BPhty, MPhty, PhD Research Fellow Centre for Research Excellence in Patient Safety, Monash University, Melbourne, VIC.Search for more papers by this authorPeter A Cameron MB BS, MD, FACEM, Peter A Cameron MB BS, MD, FACEM Director Centre for Research Excellence in Patient Safety, Monash University, Melbourne, VIC.Search for more papers by this author First published: 20 June 2011 https://doi.org/10.5694/j.1326-5377.2011.tb03150.xCitations: 38Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract Australian Health Ministers have endorsed the hospital standardised mortality ratio (HSMR) as a key indicator of quality and safety, and efforts are currently underway towards its national implementation. In the United Kingdom, Canada, the Netherlands and the United States, the HSMR has been used for several years within organisations to monitor performance and response to various quality and safety programs. In the UK and Canada, the HSMR is also publicly reported and used to compare performance between hospitals. The validity and reliability of the HSMR as a screening tool for distinguishing low-quality from high-quality hospitals remain in doubt, and it has not yet been proven that HSMR reporting necessarily leads to worthwhile improvement in quality of care and patient outcomes. Institutions may respond to an unfavourable HSMR by "gaming" administrative data and risk-adjustment models or implementing inappropriate changes to care. Despite its apparent low cost and ease of measurement, the HSMR is currently not "fit for purpose" as a screening tool for detecting low-quality hospitals and should not be used in making interhospital comparisons. It may be better suited to monitoring changes in outcomes over time within individual institutions. Citing Literature Volume194, Issue12June 2011Pages 645-648 RelatedInformation

Chronic pain is common after traumatic injury and frequently co-occurs with posttraumatic stress disorder (PTSD) and PTSD symptoms (PTSS).This study sought to understand the association between probable PTSD, PTSS, and pain.Four hundred thirty-three participants were recruited from the Victorian Orthopaedic Trauma Outcomes Registry and Victorian State Trauma Registry and completed outcome measures. Participants were predominantly male (n = 324, 74.8%) and aged 17-75 years at the time of their injury (M = 44.83 years, SD = 14.16). Participants completed the Posttraumatic Stress Disorder Checklist, Brief Pain Inventory, Pain Catastrophizing Scale, Pain Self-Efficacy Questionnaire, Tampa Scale of Kinesiophobia, EQ-5D-3L and Roland-Morris Disability Questionnaire 12 months after hospitalization for traumatic injury. Data were linked with injury and hospital admission data from the trauma registries.Those who reported having current problems with pain were 3 times more likely to have probable PTSD than those without pain. Canonical correlation showed that pain outcomes (pain severity, interference, catastrophizing, kinesiophobia, self-efficacy, and disability) were associated with all PTSSs, but especially symptoms of cognition and affect, hyperarousal, and avoidance. Posttraumatic stress disorder symptoms, on the contrary, were predominantly associated with high catastrophizing and low self-efficacy. When controlling for demographics, pain and injury severity, depression, and self-efficacy explained the greatest proportion of the total relationship between PTSS and pain-related disability.Persons with both PTSS and chronic pain after injury may need tailored interventions to overcome fear-related beliefs and to increase their perception that they can engage in everyday activities, despite their pain.

Objectives Quality and safety of emergency care is critical. Patients rely on emergency medicine (EM) for accessible, timely and high-quality care in addition to providing a ‘safety-net’ function. Demand is increasing, creating resource challenges in all settings. Where EM is well established, this is recognised through the implementation of quality standards and staff training for patient safety. In settings where EM is developing, immense system and patient pressures exist, thereby necessitating the availability of tiered standards appropriate to the local context. Methods The original quality framework arose from expert consensus at the International Federation of Emergency Medicine (IFEM) Symposium for Quality and Safety in Emergency Care (UK, 2011). The IFEM Quality and Safety Special Interest Group members have subsequently refined it to achieve a consensus in 2018. Results Patients should expect EDs to provide effective acute care. To do this, trained emergency personnel should make patient-centred, timely and expert decisions to provide care, supported by systems, processes, diagnostics, appropriate equipment and facilities. Enablers to high-quality care include appropriate staff, access to care (including financial), coordinated emergency care through the whole patient journey and monitoring of outcomes. Crowding directly impacts on patient quality of care, morbidity and mortality. Quality indicators should be pragmatic, measurable and prioritised as components of an improvement strategy which should be developed, tailored and implemented in each setting. Conclusion EDs globally have a remit to deliver the best care possible. IFEM has defined and updated an international consensus framework for quality and safety.

<h3>Background</h3> No large prospective data, to our knowledge, are available on ventilator-associated pneumonia (VAP) in patients with traumatic brain injury (TBI). <h3>Research Question</h3> To evaluate the incidence, timing, and risk factors of VAP after TBI and its effect on patient outcome. <h3>Study Design and Methods</h3> This analysis is of the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury data set, from a large, multicenter, prospective, observational study including patients with TBI admitted to European ICUs, receiving mechanical ventilation for ≥ 48 hours and with an ICU length of stay (LOS) ≥ 72 hours. Characteristics of patients with VAP vs characteristics of patients without VAP were compared, and outcome was assessed at 6 months after injury by using the Glasgow Outcome Scale Extended. <h3>Results</h3> The study included 962 patients: 196 (20.4%) developed a VAP at a median interval of 5 days (interquartile range [IQR], 3-7 days) after intubation. Patients who developed VAP were younger (median age, 39.5 [IQR, 25-55] years vs 51 [IQR, 30-66] years; <i>P</i> < .001), with a higher incidence of alcohol abuse (36.6% vs 27.6%; <i>P</i> = .026) and drug abuse (10.1% vs 4.2%; <i>P</i> = .009), more frequent thoracic trauma (53% vs 43%; <i>P</i> = .014), and more episodes of respiratory failure during ICU stay (69.9% vs 28.1%; <i>P</i> < .001). Age (hazard ratio [HR], 0.99; 95% CI, 0.98-0.99; <i>P</i> = .001), chest trauma (HR, 1.4; 95% CI, 1.03-1.90; <i>P</i> = .033), histamine-receptor antagonist intake (HR, 2.16; 95% CI, 1.37-3.39; <i>P</i> = .001), and antibiotic prophylaxis (HR, 0.69; 95% CI, 0.50-0.96; <i>P</i> = .026) were associated with the risk of VAP. Patients with VAP had a longer duration of mechanical ventilation (median, 15 [IQR, 10-22] days vs 8 [IQR, 5-14] days; <i>P</i> < .001) and ICU LOS (median, 20 [IQR, 14-29] days vs 13 [IQR, 8-21] days; <i>P</i> < .001). However, VAP was not associated with increased mortality or worse neurological outcome. Overall mortality at 6 months was 22%. <h3>Interpretation</h3> VAP occurs less often than previously described in patients after TBI and has a detrimental effect on ICU LOS but not on mortality and neurological outcome. <h3>Clinical Trial Registration</h3> ClinicalTrials.gov; No.: NCT02210221; URL: www.clinicaltrials.gov;

The majority of traumatic brain injuries (TBIs) are categorized as mild, according to a baseline Glasgow Coma Scale (GCS) score of 13-15.Prognostic models that were developed to predict functional outcome and persistent post-concussive symptoms (PPCS) after mild TBI have rarely been externally validated.We aimed to externally validate models predicting 3-12-month Glasgow Outcome Scale Extended (GOSE) or PPCS in adults with mild TBI.We analyzed data from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) project, which included 2862 adults with mild TBI, with 6-month GOSE available for 2374 and Rivermead Post-Concussion Symptoms Questionnaire (RPQ) results available for 1605 participants.Model performance was evaluated based on calibration (graphically and characterized by slope and intercept) and discrimination (C-index).We validated five published models for 6-month GOSE and three for 6-month PPCS scores.The models used different cutoffs for outcome and some included symptoms measured 2 weeks post-injury.Discriminative ability varied substantially (C-index between 0.58 and 0.79).The models developed in the Corticosteroid Randomisation After Significant Head Injury (CRASH) trial for prediction of GOSE <5 discriminated best (C-index 0.78 and 0.79), but were poorly calibrated.The best performing models for PPCS included 2-week symptoms (C-index 0.75 and 0.76).In conclusion, none of the prognostic models for early prediction of GOSE and PPCS has both good calibration and discrimination in persons with mild TBI.In future studies, prognostic models should be tailored to the population with mild TBI, predicting relevant end-points based on readily available predictors.

The International Mission on Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) and Corticoid Randomisation After Significant Head injury (CRASH) prognostic models predict functional outcome after moderate and severe traumatic brain injury (TBI). We aimed to assess their performance in a contemporary cohort of patients across Europe. The Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) core study is a prospective, observational cohort study in patients presenting with TBI and an indication for brain computed tomography. The CENTER-TBI core cohort consists of 4509 TBI patients available for analyses from 59 centers in 18 countries across Europe and Israel. The IMPACT validation cohort included 1173 patients with GCS ≤12, age ≥14, and 6-month Glasgow Outcome Scale-Extended (GOSE) available. The CRASH validation cohort contained 1742 patients with GCS ≤14, age ≥16, and 14-day mortality or 6-month GOSE available. Performance of the three IMPACT and two CRASH model variants was assessed with discrimination (area under the receiver operating characteristic curve; AUC) and calibration (comparison of observed vs. predicted outcome rates). For IMPACT, model discrimination was good, with AUCs ranging between 0.77 and 0.85 in 1173 patients and between 0.80 and 0.88 in the broader CRASH selection (n = 1742). For CRASH, AUCs ranged between 0.82 and 0.88 in 1742 patients and between 0.66 and 0.80 in the stricter IMPACT selection (n = 1173). Calibration of the IMPACT and CRASH models was generally moderate, with calibration-in-the-large and calibration slopes ranging between -2.02 and 0.61 and between 0.48 and 1.39, respectively. The IMPACT and CRASH models adequately identify patients at high risk for mortality or unfavorable outcome, which supports their use in research settings and for benchmarking in the context of quality-of-care assessment.

Driving under the influence of drugs, including alcohol, is a globally recognised risk factor for road traffic crashes. While the prevalence of alcohol and other drugs in fatal road crashes has been examined in other countries, recent data investigating drug driving in fatal Australian crashes are limited. This study aimed to examine how the presence of alcohol and other drugs in fatal road trauma in Victoria has changed over time in different road users. A population-based review of road trauma deaths was performed over the period of 01 July 2006 to 30 June 2016 in Victoria, Australia, using data from the National Coronial Information System (NCIS) and the Victorian State Trauma Registry (VSTR). Drugs were grouped according to type and analysed accordingly. Poisson regression models were used to determine change in incidence rates over the study period. There were 2287 road traffic fatalities with complete toxicology data (97% of all road traffic fatalities). Alcohol (blood alcohol concentration, BAC) was the most commonly detected drug (>0.001 g/100 mL: 21.1%; >0.05 g/100 mL: 18.4%), followed by opioids (17.3%), THC (13.1%), antidepressants (9.7%), benzodiazepines (8.8%), amphetamine-type stimulants (7.1%), ketamine (3.4%), antipsychotics (0.9%) and cocaine (0.2%). Trends demonstrated changing use over time with specific drugs. Alcohol positive road fatalities declined 9% per year in passenger car/4WD drivers (IRR = 0.91, 95% CI: 0.88−0.95). The incidence of strong opioids (oxycodone, fentanyl, morphine, and methadone) increased 6% per year (IRR = 1.06; 95% CI: 1.02–1.10). Methylamphetamine was detected in 6.6% of cases and showed a yearly increase of 7% (IRR = 1.07; 95% CI: 1.01–1.13). The incidence of THC remained unchanged over the period, observed in 13.1% of cases. Stronger opioids were more commonly detected among pedal cyclists (19.0%) and pedestrians (20.9%) while THC was more commonly detected among motorcyclists (19.8%) and other light vehicle drivers (17.6%). A decline in the prevalence of alcohol in fatalities suggests that law enforcement and public health strategies in Australia to address road fatalities and drink-driving may have had a positive effect. However, increases were observed in the incidence of other potentially impairing drugs including opioids and amphetamines, specifically methylamphetamine, indicating a concerning trend in road safety in Victoria that warrants further monitoring.

Predicting and optimizing outcomes after traumatic brain injury (TBI) remains a major challenge because of the breadth of injury characteristics and complexity of brain responses. AUS-TBI is a new Australian Government-funded initiative that aims to improve personalized care and treatment for children and adults who have sustained a TBI. The AUS-TBI team aims to address a number of key knowledge gaps, by designing an approach to bring together data describing psychosocial modulators, social determinants, clinical parameters, imaging data, biomarker profiles, and rehabilitation outcomes in order to assess the influence that they have on long-term outcome. Data management systems will be designed to track a broad range of suitable potential indicators and outcomes, which will be organized to facilitate secure data collection, linkage, storage, curation, management, and analysis. It is believed that these objectives are achievable because of our consortium of highly committed national and international leaders, expert committees, and partner organizations in TBI and health informatics. It is anticipated that the resulting large-scale data resource will facilitate personalization, prediction, and improvement of outcomes post-TBI.

Triage implementation in resource-limited emergency departments (EDs) has traditionally relied on intensive in-person training. This study sought to evaluate the impact of a novel digital-based learning strategy focused on the Interagency Integrated Triage Tool, a three-tier triage instrument recommended by the World Health Organization.A mixed methods study utilising pre-post intervention methods was conducted in two EDs in Papua New Guinea. The primary outcome was the mean change in knowledge before and after completion of a voluntary, multimodal training program, primarily delivered through a digital learning platform accessible via smartphone. Secondary outcomes included the change in confidence to perform selected clinical tasks, and acceptability of the learning methods.Among 136 eligible ED staff, 91 (66.9%) completed the digital learning program. The mean knowledge score on the post-training exam was 87.5% (SD 10.4), a mean increase of 12.9% (95% CI 10.7-15.1%, p < 0.0001) from the pre-training exam. There were statistically significant improvements in confidence for 13 of 15 clinical tasks, including undertaking a triage assessment and identifying an unwell patient.In an evaluation survey, 100% of 30 respondents agreed or strongly agreed the online learning platform was easy to access, use and navigate, and that the digital teaching methods were appropriate for their learning needs. In qualitative feedback, respondents reported that limited internet access and a lack of dedicated training time were barriers to participation.The use of digital learning to support triage implementation in resource-limited EDs is feasible and effective when accompanied by in-person mentoring. Adequate internet access is an essential pre-requisite.Development of the Kumul Helt Skul learning platform was undertaken as part of the Clinical Support Program (Phase II), facilitated by Johnstaff International Development on behalf of the Australian Government Department of Foreign Affairs and Trade through the PNG-Australia Partnership. RM is supported by a National Health and Medical Research Council Postgraduate Scholarship and a Monash Graduate Excellence Scholarship, while PC is supported by a Medical Research Future Fund Practitioner Fellowship. Funders had no role in study design, results analysis or manuscript preparation.

The Australian Traumatic Brain Injury Initiative (AUS-TBI) aims to co-design a data resource to predict outcomes for people with moderate-severe traumatic brain injury (TBI) across Australia. Fundamental to this resource is the data dictionary, which is an ontology of data items. Here, we report the systematic review and consensus process for inclusion of biological markers in the data dictionary. Standardized database searches were implemented from inception through April 2022. English-language studies evaluating association between a fluid, tissue, or imaging marker and any clinical outcome in at least 10 patients with moderate-severe TBI were included. Records were screened using a prioritization algorithm and saturation threshold in Research Screener. Full-length records were then screened in Covidence. A pre-defined algorithm was used to assign a judgement of predictive value to each observed association, and high-value predictors were discussed in a consensus process. Searches retrieved 106,593 records; 1,417 full-length records were screened, resulting in 546 included records. Two hundred thirty-nine individual markers were extracted, evaluated against 101 outcomes. Forty-one markers were judged to be high-value predictors of 15 outcomes. Fluid markers retained following the consensus process included ubiquitin C-terminal hydrolase L1 (UCH-L1), S100, and glial fibrillary acidic protein (GFAP). Imaging markers included computed tomography (CT) scores (e.g., Marshall scores), pathological observations (e.g., hemorrhage, midline shift), and magnetic resonance imaging (MRI) classification (e.g., diffuse axonal injury). Clinical context and time of sampling of potential predictive indicators are important considerations for utility. This systematic review and consensus process has identified fluid and imaging biomarkers with high predictive value of clinical and long-term outcomes following moderate-severe TBI.

The Australian Traumatic Brain Injury Initiative (AUS-TBI) aims to select a set of measures to comprehensively predict and assess outcomes following moderate-to-severe traumatic brain injury (TBI) across Australia. The aim of this article was to report on the implementation and findings of an evidence-based consensus approach to develop AUS-TBI recommendations for outcome measures following adult and pediatric moderate-to-severe TBI. Following consultation with a panel of expert clinicians, Aboriginal and Torres Strait Islander representatives and a Living Experience group, and preliminary literature searches with a broader focus, a decision was made to focus on measures of mortality, everyday functional outcomes, and quality of life. Standardized searches of bibliographic databases were conducted through March 2022. Characteristics of 75 outcome measures were extracted from 1485 primary studies. Consensus meetings among the AUS-TBI Steering Committee, an expert panel of clinicians and researchers and a group of individuals with lived experience of TBI resulted in the production of a final list of 11 core outcome measures: the Functional Independence Measure (FIM); Glasgow Outcome Scale-Extended (GOS-E); Satisfaction With Life Scale (SWLS) (adult); mortality; EuroQol-5 Dimensions (EQ5D); Mayo-Portland Adaptability Inventory (MPAI); Return to Work /Study (adult and pediatric); Functional Independence Measure for Children (WEEFIM); Glasgow Outcome Scale Modified for Children (GOS-E PEDS); Paediatric Quality of Life Scale (PEDS-QL); and Strengths and Difficulties Questionnaire (pediatric). These 11 outcome measures will be included as common data elements in the AUS-TBI data dictionary. Review Registration PROSPERO (CRD42022290954).

Background: To determine the mortality, hospital and intensive care unit (ICU) stay of rib fractures in patients admitted to Victorian hospitals for more than 1 day. Methods: All patients fitting the entry criteria for the Victorian Major Trauma Study with fractured ribs were identified between 1 March 1992 and 28 February 1993. Aetiology, age, sex, associated injury and outcome were analysed. Results: Patients with rib fractures had a higher mortality and length of hospital stay, but this was not significantly different from other trauma. A significantly higher percentage of patients required ICU care for rib fractures (44%) compared with the total group with blunt injury (24%). The majority of rib fractures resulted from motor vehicle accidents 361/541 (67%). Injuries occurring on the street/highway resulting in rib fractures were more likely to be major; 62% had Injury Severity Score (ISS) &gt; 15. Fractured ribs occurred more commonly with increased age. Mortality for patients with fractured ribs versus total trauma group was higher in elderly patients. Univariate analysis showed rib fractures were a positive predictor of death but when adjusted for ISS and age, rib fractures became a negative predictor. Rib fractures were not predictors for length of ICU or hospital stay. Conclusion: The sample of rib fractures collected in this study underestimates the overall incidence. For those patients admitted to hospital with identified rib fractures, there is a trend towards higher mortality and morbidity. However, this association is better predicted by ISS and age.

Duration of post-traumatic amnesia (PTA) is an important index of severity of head injury. Retrospective assessment of PTA duration is arguably unreliable. Existing objective measures of PTA duration are designed for use over a 24-hour timeframe and, therefore, are not useful for assessing PTA following mild head injury (MHI). A revised version of the Westmead PTA scale was developed for assessing patients with MHI in the Emergency Department (ED) at hourly intervals. The objective of this study was the field testing of this scale in EDs and assessment of validity and reliability of test items.The scale contained 12 items, assessing orientation, memory for a face and name in a photograph and three pictures of objects. This revised scale, administered by nursing staff, was completed at least four times at hourly intervals by 147 adults with MHI in the ED and again at follow-up 1 week later. It was also completed by 109 demographically similar controls. Results were compared with Glasgow Coma scores and retrospective estimates of PTA duration based on patient report and medical records.Thirty-six per cent of MHI participants made errors on the scale in the ED, a significantly greater proportion than in MHI or controls at follow-up. Removal of the items 5 (day of week) and 9 (recall of name of face in photograph) improved the validity of the measure significantly. Scores correlated significantly with Glasgow Coma Scale scores and estimated duration of PTA.The Westmead Scale (minus items 5 and 9) is a valid measure of PTA duration in adult patients with MHI in ED. Its use will allow for more appropriate timing of discharge and accurate prognostic information.

Medical Journal of AustraliaVolume 184, Issue 5 p. 203-204 Editorial Hospital overcrowding: a threat to patient safety? Peter A Cameron MB BS, FACEM, MD, Peter A Cameron MB BS, FACEM, MD Head, Pre-hospital and Emergency Trauma Group Epidemiology and Preventive Medicine, Monash University, Prahran, VIC.Search for more papers by this author Peter A Cameron MB BS, FACEM, MD, Peter A Cameron MB BS, FACEM, MD Head, Pre-hospital and Emergency Trauma Group Epidemiology and Preventive Medicine, Monash University, Prahran, VIC.Search for more papers by this author First published: 06 March 2006 https://doi.org/10.5694/j.1326-5377.2006.tb00200.xCitations: 51Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article.Citing Literature Volume184, Issue5March 2006Pages 203-204 RelatedInformation

Objective: To describe complaints by patients and compare rates of complaint in demographic subgroups of patients and hospital departments. Design and setting: Retrospective analysis of complaints made by patients attending 67 hospitals (metropolitan, 25; rural, 42) in Victoria, and lodged with the Victorian Health Complaint Information Program (January 1997 – December 2001). Main outcome measures: Demographic characteristics of patients lodging complaints and the hospital department involved; nature and outcome of complaints. Results: From a total of over 13 million patients presenting to hospital during the study period, 19 156 patients or their representatives (mostly their parents, children or spouses) lodged 26 785 “issues” of complaint (overall complaint rate, 1.42 complaints/1000 patients). Significantly more complaints (P < 0.001) were lodged by (or on behalf of) female patients (complaint rate ratio, 1.3; 95% CI, 1.2–1.3), public patients (rate ratio, 2.1; 95% CI, 2.0–2.2) and Australian-born patients (rate ratio, 8.9; 95% CI, 8.3–9.6). The complaint rate for general wards was 6.2/1000 patients (95% CI, 6.1–6.3). Intensive care units had a similar rate of 5.9/1000 (95% CI, 5.4–6.5), but aged-care departments had a significantly higher rate of 45.2/1000 (95% CI, 39.5–51.7), while emergency departments (1.9/1000; 95% CI, 1.8–2.0), operating theatres (1.0/1000; 95% CI, 1.0–1.1), day-procedure units (0.5/1000; 95% CI, 0.5–0.6) and outpatient departments (0.4/1000; 95% CI, 0.4–0.4) had significantly lower rates. Complaints relating to communication (poor attention, discourtesy, rudeness), access to healthcare (no/inadequate service, treatment delays) and treatment (inadequate treatment and nursing care) accounted for 29.2%, 28.5% and 22.5% of complaints, respectively. Most (84.5%) complaints were resolved. Apologies or explanations resolved 27.8% and 27.5% of complaints, respectively. Conclusion: Interventions to decrease the number of complaints in the areas of communication and access to healthcare need to be implemented. The active use of complaint data for quality-improvement activities is recommended.

Precise prehospital trauma triage criteria are critical for ensuring patients with severe injuries are transported to trauma centres. Most prehospital trauma triage criteria adopt a combination of physiological, anatomic and mechanism of injury components, but this approach still fails to identify a number of patients with severe injuries and often burdens trauma centres with patients suffering minor injuries. Paramedic judgement has been identified as an alternative method for the triage of trauma patients. This study critically reviewed the literature regarding the ability of paramedics to predict injury severity, and found there is no clear evidence supporting paramedic judgement as an accurate triage method. However, the studies were limited due to significant data losses, variable definitions of major trauma, differences across EMS and trauma care systems, variable paramedic experience levels and incomparable methods of data collection. The role of paramedic judgement in identifying patients with severe blunt anatomic injuries requires further investigation.

Objective: To investigate the incidence of bicycling injuries and bicycle injury characteristics in the Victorian population. Design: Review of prospectively collected data. Setting: Bicycling injury data were extracted from four datasets for the period July 2001 to June 2006: (i) emergency department (ED) presentations from the Victorian Emergency Minimum Dataset; (ii) hospital admissions from the Victorian Admitted Episodes Data Set; (iii) major trauma cases from the Victorian State Trauma Registry (VSTR); and (iv) deaths from the National Coroners Information System. Main outcome measures: The profile and incidence of bicycling injuries across the datasets and years. Results: In the 5 years, 25 920 bicycle-related ED presentations were recorded, 10 552 bicyclists were admitted to hospital, 298 bicycling injuries were classified as major trauma (VSTR), and there were 47 bicycling fatalities. From 2001 to 2006, the incidence of bicycle-related ED presentations (incidence rate ratio [IRR] = 1.42; 95% CI, 1.37–1.48), hospital admissions (IRR = 1.16; 95% CI, 1.09–1.23) and major trauma (IRR = 1.76; 95% CI, 1.22–2.55) increased significantly. Most of those injured were males, aged < 35 years, with road-related injuries. Patients classified as having major trauma had a significantly higher incidence of trunk and head/face/neck injuries compared with those presenting to an ED or admitted to hospital. Conclusion: The incidence of serious bicycling injury has risen over recent years, highlighting the need for targeted prevention programs. Accurate data on cycling participation, use of injury prevention strategies, and injury profiles would assist in reducing bicycle-related injury.

Hospitals cannot manage their emergency patients when there is significant access block. There are solutions that should be implemented but require national leadership to be effective. These solutions include an immediate increase in the number of acute hospital beds, improved coordination and increased community capacity to manage medical patients with complex conditions outside acute public hospitals, improved hospital processes, and better standardisation of treatment within emergency departments. There is little evidence that telephone triage, ambulatory care clinics or disaster management techniques, including ambulance diversion, reduce access block.

Clinical handover between paramedics and the trauma team is undertaken in a time-pressured environment. Paramedics are often required to handover complex problems to a multitude of staff. There is evidence that information loss occurs at this transition. The aims of this project were to (1) develop a minimum dataset to assist paramedics provide handover; (2) identify attributes of effective and ineffective handover; (3) determine the feasibility of advanced data transmission; and (4) identify how to best display data in trauma bays.Qualitative study of paramedics and trauma team members. A thematic analysis was undertaken using grounded theory.Ten paramedics and 17 trauma team members were interviewed. A minimum dataset modified on an existing template was developed to include fields required by the trauma team to inform immediate treatment. Respondents stated that an effective handover was one which was delivered succinctly and in a structured manner, and contained only vital data necessary to direct immediate treatment. Advanced transmission of data to the receiving hospital was widely supported. While computers carried by paramedics were capable of exporting data to the receiving hospital, barriers such as time constraints, workflow issues and infection control issues impeded the ability to do this in the current environment.There is support for the adoption and further evaluation of a handover template. It can provide valuable structure to the face-to-face handover, and experience from other specialties suggests it can reduce information loss. Strategies to enable information to be transmitted in advance of the patients' arrival must address concerns voiced by paramedics.

Aim We aim to describe the coronial findings of young adults where the out-of-hospital cardiac arrest (OHCA) aetiology was ‘presumed cardiac’. Methods Presumed cardiac aetiology OHCAs occurring in young adults aged 16–39 years were identified using the Victorian Ambulance Cardiac Arrest Registry (VACAR) and available coronial findings reviewed. Results We identified 841 young adult OHCAs where the Utstein aetiology was ‘presumed cardiac’. Of these 740 died and 572 (77%) OHCAs were matched to coroner's findings. On review of the coroner's cause of death, 230 (40.2%) had a ‘confirmed cardiac’ aetiology, 221 (38.6%) were proven ‘non-cardiac’, 97 (17%) were inconclusive and 24 (4.2%) cases remained ‘open’. ‘Confirmed cardiac’ causes of OHCA were ischemic heart disease (n = 126, 55%), cardiomegaly (n = 26, 11.3%), cardiomyopathy (n = 25, 11%), congenital heart disease (n = 15, 6.5%), cardiac tamponade due to dissecting thoracic aorta aneurysm (n = 10, 4.3%), myocarditis (n = 8, 3.5%), arrhythmia (n = 7, 3%), others (n = 13, 5.7%). ‘Non-cardiac’ causes of OHCA were epilepsy/sudden unexplained death in epilepsy (SUDEP) (n = 56, 25%), pulmonary embolism (n = 29, 13%), subarachnoid haemorrhage (n = 17, 7.7%), other intracranial bleed (n = 7, 3.2%), pneumonia (n = 17, 7.7%), DKA (n = 16, 7.2%), other complications of diabetes mellitus (n = 8, 3.6%), complications of obesity (n = 9, 4%), haemorrhage (n = 12, 5.4%), sepsis (n = 8, 3.6%), peritonitis (n = 6, 2.7%), aspiration (n = 6, 2.7%), renal failure (n = 5, 2.3%), asthma (n = 5, 2.3%), complications of anorexia (n = 3) and alcohol abuse (n =2), thyrotoxicosis (n = 2), meningitis (n = 1) and others (n = 12). Compared with coroner's diagnosed ‘non-cardiac’ OHCAs, ‘confirmed cardiac’ were more likely to be witnessed (41% vs 23%, p ≤ 0.01), receive bystander CPR (35% vs 20%, p ≤ 0.001), have a shockable rhythm (27% vs 6.3%, p < 0.001) and have EMS attempted resuscitation (62% vs 44%, p < 0.001). Discussion Linking OHCA registries with coronial databases for aetiology of the arrest will improve the quality of the data and should be considered by all OHCA registries, particularly for young adult OHCA.

In Brief Objective: To evaluate recovery after major trauma over a 24-month time frame. Background: Measuring disability after injury is seen as increasingly important but requires knowledge not only of the measures that should be implemented but also of the critical time points for follow-up. Methods: Six hundred sixty-two adult major trauma patients from 2 level 1 trauma centers (October 2006 to March 2007) were followed up by telephone at 6-, 12-, 18-, and 24 months after injury. SF-12, Glasgow Outcome Scale-Extended (GOS-E), pain scores, and return to work (RTW) were collected. Multilevel mixed-effects regression models were fitted to analyze change in outcomes over time. Results: Six hundred seventeen (93%) were followed up for at least 1 time point. Functional recovery (GOS-E = 8) [odds ratio (OR) 3.1, 95% CI: 1.9, 5.0] and RTW (OR 2.4, 95% CI: 1.4, 4.0) improved, and physical health (PCS-12) scores were better (mean difference 1.9, 95% CI: 0.9, 2.9), from 6 to 12 months after injury, but changed little from 12 months. Pain scores were unchanged from 6 to 12 months but were higher at 18 months than at 12 months (OR 1.8, 95% CI: 1.2, 2.8). SF-12 mental health (MCS-12) scores decreased until 18 months but improved from 18 to 24 months (mean difference 1.5, 95% CI: 0.2, 2.8). The rate of recovery differed by injury group and age. Conclusions: Different patterns of recovery were evident for each outcome, and there was a variation in the rate of recovery for some subgroups. The selection of time points for follow-up requires consideration of the outcome measurements of interest and the population being studied. Measuring injury-related disability is considered increasingly important but requires knowledge of the critical time points for follow-up. This cohort study measured quality of life, pain, return to work, and functional outcomes over a 24-month time frame, finding different patterns of recovery for each outcome, and variation in recovery rates for subgroups.

This study aims to describe all unsolicited electronic invitations received from potential predatory publishers or fraudulent conferences over a 12-month period following the first publication as a corresponding author of a junior academician.Unsolicited invitations received at an institutional email address and perceived to be sent by predatory publishers or fraudulent conferences were collected.A total of 502 invitations were included of which 177 (35.3%) had subject matter relevant to the recipient's research interests and previous work. Two hundred and thirty-seven were invitations to publish a manuscript. Few disclosed the publication fees (32, 13.5%) but they frequently reported accepting all types of manuscripts (167, 70.5%) or emphasised on a deadline to submit (165, 69.6%). Invitations came from 39 publishers (range 1 to 87 invitations per publisher). Two hundred and ten invitations from a potential fraudulent conference were received. These meetings were held in Europe (97, 46.2%), North America (65, 31.0%), Asia (20.4%) or other continents (5, 2.4%) and came from 18 meeting organisation groups (range 1 to 137 invitations per organisation). Becoming an editorial board member (30), the editor-in-chief (1), a guest editor for journal special issue (6) and write a book chapter (11) were some of the roles offered in the other invitations included while no invitation to review a manuscript was received.Young researchers are commonly exposed to predatory publishers and fraudulent conferences following a single publication as a corresponding author. Academic institutions worldwide need to educate and inform young researchers of this emerging problem.

To investigate causes, characteristics and temporal trends of paediatric major trauma.A retrospective review of paediatric major trauma (<16 years of age) was conducted using data from the population-based Victorian State Trauma Registry from 2006 to 2016. Temporal trends in population-based incidence rates were evaluated using Poisson regression.Victoria, Australia.Of the 1511 paediatric major trauma patients, most were male (68%), had sustained blunt trauma (87%) and had injuries resulting from unintentional events (91%). Motor vehicle collisions (15%), struck by/collisions with an object or person (14%) and low falls (13%) were the leading mechanisms of injury. Compared with those aged 1-15 years, a greater proportion of non-accidental injury events were observed in infants (<1 year) (32%). For all patients, isolated head injury (29%), other/multitrauma (27%) and head and other injuries (24%) were the most prevalent injury groups. The incidence of paediatric major trauma did not change over the study period (incidence rate ratio (IRR)=0.97; 95% CI 0.92 to 1.02; p=0.27), which was consistent in all age groups. There was a 3% per year decline in the incidence of transport events (IRR=0.97; 95% CI 0.94 to 0.99; p=0.005), but no change in the incidence of falls of any type (IRR=1.01; 95% CI 0.97 to 1.04; p=0.70) or other events (IRR=1.00; 95% CI 0.97 to 1.02; p=0.79). The overall in-hospital mortality rate was 7.2%.This study demonstrated no change in the incidence of paediatric major trauma over an 11-year period. Given the potential lifelong impacts of serious injury in children, additional investment and coordination of injury prevention activities are required.

Compared with crashes with motor vehicles, single-bicycle crashes are an under-recognised contributor to cycling injury and the aetiology is poorly understood. Using an in-depth crash investigation technique, this study describes the crash characteristics and patient outcomes of a sample of cyclists admitted to hospital following on-road bicycle crashes. Enrolled cyclists completed a structured interview, and injury details and patient outcomes were extracted from trauma registries. Single-bicycle crashes (n=62) accounted for 48% of on-road crashes and commonly involved experienced cyclists. Common single-bicycle crash types included loss-of-control events, interactions with tram tracks, striking potholes or objects or resulting from mechanical issues with the bicycle. To address single-bicycle crashes, targeted countermeasures are required for each of these specific crash types.

To determine whether multifactorial falls prevention interventions are effective in preventing falls, fall injuries, emergency department (ED) re-presentations and hospital admissions in older adults presenting to the ED with a fall.Systematic review and meta-analyses of randomised controlled trials (RCTs).Four health-related electronic databases (Ovid MEDLINE, CINAHL, EMBASE, PEDro and The Cochrane Central Register of Controlled Trials) were searched (inception to June 2018).RCTs of multifactorial falls prevention interventions targeting community-dwelling older adults ( ≥ 60 years) presenting to the ED with a fall with quantitative data on at least one review outcome.Two independent reviewers determined inclusion, assessed study quality and undertook data extraction, discrepancies resolved by a third.12 studies involving 3986 participants, from six countries, were eligible for inclusion. Studies were of variable methodological quality. Multifactorial interventions were heterogeneous, though the majority included education, referral to healthcare services, home modifications, exercise and medication changes. Meta-analyses demonstrated no reduction in falls (rate ratio = 0.78; 95% CI: 0.58 to 1.05), number of fallers (risk ratio = 1.02; 95% CI: 0.88 to 1.18), rate of fractured neck of femur (risk ratio = 0.82; 95% CI: 0.53 to 1.25), fall-related ED presentations (rate ratio = 0.99; 95% CI: 0.84 to 1.16) or hospitalisations (rate ratio = 1.14; 95% CI: 0.69 to 1.89) with multifactorial falls prevention programmes.There is insufficient evidence to support the use of multifactorial interventions to prevent falls or hospital utilisation in older people presenting to ED following a fall. Further research targeting this population group is required.

Medical Journal of AustraliaVolume 213, Issue 3 p. 126-133 Consensus statement Management of adult cardiac arrest in the COVID-19 era: consensus statement from the Australasian College for Emergency Medicine Simon Craig, Corresponding Author Simon Craig [email protected] orcid.org/0000-0003-2594-1643 Monash Health, Melbourne, VIC Monash University, Melbourne, VIC[email protected]Search for more papers by this authorMya Cubitt, Mya Cubitt orcid.org/0000-0002-8399-7453 Royal Melbourne Hospital, Melbourne, VIC Centre for Integrated Critical Care, University of Melbourne, Melbourne, VICSearch for more papers by this authorAshish Jaison, Ashish Jaison Emergency and Trauma Centre, Alfred Health, Melbourne, VICSearch for more papers by this authorSteven Troupakis, Steven Troupakis Monash Health, Melbourne, VIC Epworth HealthCare, Melbourne, VICSearch for more papers by this authorNatalie Hood, Natalie Hood Monash Health, Melbourne, VIC Surf Life Saving Australia, Sydney, NSWSearch for more papers by this authorChristina Fong, Christina Fong Monash Health, Melbourne, VIC Epworth HealthCare, Melbourne, VICSearch for more papers by this authorAdnan Bilgrami, Adnan Bilgrami Monash Health, Melbourne, VICSearch for more papers by this authorPeter Leman, Peter Leman Fiona Stanley Hospital, Perth, WA University of Western Australia, Perth, WASearch for more papers by this authorJuan Carlos Ascencio-Lane, Juan Carlos Ascencio-Lane Royal Hobart Hospital, Hobart, TAS University of Tasmania, Hobart, TASSearch for more papers by this authorGuruprasad Nagaraj, Guruprasad Nagaraj South Western Emergency Research Institute, Liverpool Hospital, Sydney, NSW University of New South Wales, Sydney, NSWSearch for more papers by this authorJohn Bonning, John Bonning Australasian College for Emergency Medicine, Melbourne, VIC Council of Medical Colleges of Aotearoa New Zealand, Wellington, New ZealandSearch for more papers by this authorGabriel Blecher, Gabriel Blecher orcid.org/0000-0001-8537-2011 Monash University, Melbourne, VIC Monash Medical Centre, Melbourne, VICSearch for more papers by this authorRob Mitchell, Rob Mitchell Monash University, Melbourne, VIC Emergency and Trauma Centre, Alfred Health, Melbourne, VICSearch for more papers by this authorEllen Burkett, Ellen Burkett Princess Alexandra Hospital, Brisbane, QLD Clinical Excellence Queensland, Brisbane, QLDSearch for more papers by this authorSally M McCarthy, Sally M McCarthy University of New South Wales, Sydney, NSW Prince of Wales Hospital and Community Health Services, Sydney, NSWSearch for more papers by this authorAmanda M Rojek, Amanda M Rojek Royal Melbourne Hospital, Melbourne, VIC Centre for Integrated Critical Care, University of Melbourne, Melbourne, VICSearch for more papers by this authorKim Hansen, Kim Hansen St Andrew's War Memorial Hospital, Brisbane, QLD Prince Charles Hospital, Brisbane, QLDSearch for more papers by this authorHelen Psihogios, Helen Psihogios Monash Health, Melbourne, VICSearch for more papers by this authorPeter Allely, Peter Allely University of Western Australia, Perth, WA Sir Charles Gairdner Hospital, Perth, WASearch for more papers by this authorSimon Judkins, Simon Judkins Austin Hospital, Melbourne, VICSearch for more papers by this authorLai Heng Foong, Lai Heng Foong Bankstown–Lidcombe Hospital, Sydney, NSW University of Western Sydney, Sydney, NSWSearch for more papers by this authorStephen Bernard, Stephen Bernard Centre for Research and Evaluation, Ambulance Victoria, Melbourne, VICSearch for more papers by this authorPeter A Cameron, Peter A Cameron Monash University, Melbourne, VIC Emergency and Trauma Centre, Alfred Health, Melbourne, VICSearch for more papers by this author Simon Craig, Corresponding Author Simon Craig [email protected] orcid.org/0000-0003-2594-1643 Monash Health, Melbourne, VIC Monash University, Melbourne, VIC[email protected]Search for more papers by this authorMya Cubitt, Mya Cubitt orcid.org/0000-0002-8399-7453 Royal Melbourne Hospital, Melbourne, VIC Centre for Integrated Critical Care, University of Melbourne, Melbourne, VICSearch for more papers by this authorAshish Jaison, Ashish Jaison Emergency and Trauma Centre, Alfred Health, Melbourne, VICSearch for more papers by this authorSteven Troupakis, Steven Troupakis Monash Health, Melbourne, VIC Epworth HealthCare, Melbourne, VICSearch for more papers by this authorNatalie Hood, Natalie Hood Monash Health, Melbourne, VIC Surf Life Saving Australia, Sydney, NSWSearch for more papers by this authorChristina Fong, Christina Fong Monash Health, Melbourne, VIC Epworth HealthCare, Melbourne, VICSearch for more papers by this authorAdnan Bilgrami, Adnan Bilgrami Monash Health, Melbourne, VICSearch for more papers by this authorPeter Leman, Peter Leman Fiona Stanley Hospital, Perth, WA University of Western Australia, Perth, WASearch for more papers by this authorJuan Carlos Ascencio-Lane, Juan Carlos Ascencio-Lane Royal Hobart Hospital, Hobart, TAS University of Tasmania, Hobart, TASSearch for more papers by this authorGuruprasad Nagaraj, Guruprasad Nagaraj South Western Emergency Research Institute, Liverpool Hospital, Sydney, NSW University of New South Wales, Sydney, NSWSearch for more papers by this authorJohn Bonning, John Bonning Australasian College for Emergency Medicine, Melbourne, VIC Council of Medical Colleges of Aotearoa New Zealand, Wellington, New ZealandSearch for more papers by this authorGabriel Blecher, Gabriel Blecher orcid.org/0000-0001-8537-2011 Monash University, Melbourne, VIC Monash Medical Centre, Melbourne, VICSearch for more papers by this authorRob Mitchell, Rob Mitchell Monash University, Melbourne, VIC Emergency and Trauma Centre, Alfred Health, Melbourne, VICSearch for more papers by this authorEllen Burkett, Ellen Burkett Princess Alexandra Hospital, Brisbane, QLD Clinical Excellence Queensland, Brisbane, QLDSearch for more papers by this authorSally M McCarthy, Sally M McCarthy University of New South Wales, Sydney, NSW Prince of Wales Hospital and Community Health Services, Sydney, NSWSearch for more papers by this authorAmanda M Rojek, Amanda M Rojek Royal Melbourne Hospital, Melbourne, VIC Centre for Integrated Critical Care, University of Melbourne, Melbourne, VICSearch for more papers by this authorKim Hansen, Kim Hansen St Andrew's War Memorial Hospital, Brisbane, QLD Prince Charles Hospital, Brisbane, QLDSearch for more papers by this authorHelen Psihogios, Helen Psihogios Monash Health, Melbourne, VICSearch for more papers by this authorPeter Allely, Peter Allely University of Western Australia, Perth, WA Sir Charles Gairdner Hospital, Perth, WASearch for more papers by this authorSimon Judkins, Simon Judkins Austin Hospital, Melbourne, VICSearch for more papers by this authorLai Heng Foong, Lai Heng Foong Bankstown–Lidcombe Hospital, Sydney, NSW University of Western Sydney, Sydney, NSWSearch for more papers by this authorStephen Bernard, Stephen Bernard Centre for Research and Evaluation, Ambulance Victoria, Melbourne, VICSearch for more papers by this authorPeter A Cameron, Peter A Cameron Monash University, Melbourne, VIC Emergency and Trauma Centre, Alfred Health, Melbourne, VICSearch for more papers by this author First published: 12 July 2020 https://doi.org/10.5694/mja2.50699Citations: 22 The unedited version of this article was published as a preprint on mja.com.au on 24 April 2020. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstract Introduction The global pandemic of coronavirus disease 2019 (COVID-19) has caused significant worldwide disruption. Although Australia and New Zealand have not been affected as much as some other countries, resuscitation may still pose a risk to health care workers and necessitates a change to our traditional approach. This consensus statement for adult cardiac arrest in the setting of COVID-19 has been produced by the Australasian College for Emergency Medicine (ACEM) and aligns with national and international recommendations. Main recommendations In a setting of low community transmission, most cardiac arrests are not due to COVID-19. Early defibrillation saves lives and is not considered an aerosol generating procedure. Compression-only cardiopulmonary resuscitation is thought to be a low risk procedure and can be safely initiated with the patient's mouth and nose covered. All other resuscitative procedures are considered aerosol generating and require the use of airborne personal protective equipment (PPE). It is important to balance the appropriateness of resuscitation against the risk of infection. Methods to reduce nosocomial transmission of COVID-19 include a physical barrier such as a towel or mask over the patient's mouth and nose, appropriate use of PPE, minimising the staff involved in resuscitation, and use of mechanical chest compression devices when available. If COVID-19 significantly affects hospital resource availability, the ethics of resource allocation must be considered. Changes in management The changes outlined in this document require a significant adaptation for many doctors, nurses and paramedics. It is critically important that all health care workers have regular PPE and advanced life support training, are able to access in situ simulation sessions, and receive extensive debriefing after actual resuscitations. This will ensure safe, timely and effective management of the patients with cardiac arrest in the COVID-19 era. References 1Falconer R. Australia and New Zealand reopen after coronavirus cases plummet. 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Google Scholar Citing Literature Volume213, Issue3August 2020Pages 126-133 ReferencesRelatedInformation

Abstract Objective The COVID‐19 Emergency Department (COVED) Quality Improvement Project aims to provide regular and real‐time clinical information to ED clinicians caring for patients with suspected and confirmed COVID‐19. The present study summarises data from the first 2 weeks of the study. Methods COVED is an ongoing prospective cohort study that commenced on 1 April 2020. It includes all adult patients presenting to a participating ED who undergo testing for SARS‐CoV‐2. Data are collected prospectively and entered into a bespoke registry. Outcomes include a positive SARS‐CoV‐2 polymerase chain reaction test result and requirement for intensive respiratory support. Results In the period 1–14 April 2020, 240 (16%) of 1508 patients presenting to The Alfred Emergency and Trauma Centre met inclusion criteria. Of these, 11 (5%) tested positive for SARS‐CoV‐2. The mean age of patients was 60 years and the commonest symptoms were acute shortness of breath ( n = 122 [67%]), cough ( n = 108 [56%]) or fever ( n = 98 [51%]). Overseas travel or known contact with a confirmed case was reported by 24 (14%) and 16 (10%) patients, respectively. Fever or hypoxia was recorded in 23 (10%) and 11 (5%) patients, respectively. Eleven (5%) patients received mechanical ventilation in the ED, of whom none tested positive for SARS‐CoV‐2. Conclusions Among patients presenting to a tertiary ED with suspected COVID‐19, only a small proportion tested positive for SARS‐CoV‐2. Although the low incidence of positive cases currently precludes the development of predictive tools, the COVED Project demonstrates that the rapid establishment of an agile clinical registry for emergency care is feasible.

the COVID-19 pandemic has incurred psychological risks for healthcare workers (HCWs). We established a Victorian HCW cohort (the Coronavirus in Victorian Healthcare and Aged-Care Workers (COVIC-HA) cohort study) to examine COVID-19 impacts on HCWs and assess organisational responses over time.mixed-methods cohort study, with baseline data collected via an online survey (7 May-18 July 2021) across four healthcare settings: ambulance, hospitals, primary care, and residential aged-care. Outcomes included self-reported symptoms of depression, anxiety, post-traumatic stress (PTS), wellbeing, burnout, and resilience, measured using validated tools. Work and home-related COVID-19 impacts and perceptions of workplace responses were also captured.among 984 HCWs, symptoms of clinically significant depression, anxiety, and PTS were reported by 22.5%, 14.0%, and 20.4%, respectively, highest among paramedics and nurses. Emotional exhaustion reflecting moderate-severe burnout was reported by 65.1%. Concerns about contracting COVID-19 at work and transmitting COVID-19 were common, but 91.2% felt well-informed on workplace changes and 78.3% reported that support services were available.Australian HCWs employed during 2021 experienced adverse mental health outcomes, with prevalence differences observed according to occupation. Longitudinal evidence is needed to inform workplace strategies that support the physical and mental wellbeing of HCWs at organisational and state policy levels.

The incidence of Traumatic Brain Injury (TBI) is increasingly common in older adults aged ≥65 years, forming a growing public health problem. However, older adults are underrepresented in TBI research. Therefore, we aimed to provide an overview of health-care utilization, and of six-month outcomes after TBI and their determinants in older adults who sustained a TBI.We used data from the prospective multi-center Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. In-hospital and post-hospital health care utilization and outcomes were described for patients aged ≥65 years. Ordinal and linear regression analyses were performed to identify determinants of the Glasgow Outcome Scale Extended (GOSE), health-related quality of life (HRQoL), and mental health symptoms six-months post-injury.Of 1254 older patients, 45% were admitted to an ICU with a mean length of stay of 9 days. Nearly 30% of the patients received inpatient rehabilitation. In total, 554/1254 older patients completed the six-month follow-up questionnaires. The mortality rate was 9% after mild and 60% after moderate/severe TBI, and full recovery based on GOSE was reported for 44% of patients after mild and 6% after moderate/severe TBI. Higher age and increased injury severity were primarily associated with functional impairment, while pre-injury systemic disease, psychiatric conditions and lower educational level were associated with functional impairment, lower generic and disease-specific HRQoL and mental health symptoms.The rate of impairment and disability following TBI in older adults is substantial, and poorer outcomes across domains are associated with worse preinjury health. Nonetheless, a considerable number of patients fully or partially returns to their preinjury functioning. There should not be pessimism about outcomes in older adults who survive.

Mild traumatic brain injury (mTBI) is a common problem. Depending on diagnostic criteria, 13 to 62% of those patients develop persistent post-concussion symptoms (PPCS). The main objective of this prospective multi-center study is to derive and validate a clinical decision rule (CDR) for the early prediction of PPCS. Patients aged ≥14 years were included if they presented to one of our seven participating emergency departments (EDs) within 24 h of an mTBI. Clinical data were collected in the ED, and symptom evolution was assessed at 7, 30 and 90 days post-injury using the Rivermead Post-Concussion Questionnaire (RPQ). The primary outcome was PPCS at 90 days after mTBI. A predictive model called the Post-Concussion Symptoms Rule (PoCS Rule) was developed using the methodological standards for CDR. Of the 1083 analyzed patients (471 and 612 for the derivation and validation cohorts, respectively), 15.6% had PPCS. The final model included the following factors assessed in the ED: age, sex, history of prior TBI or mental health disorder, headache in ED, cervical sprain and hemorrhage on computed tomography. The 7-day follow-up identified additional risk factors: headaches, sleep disturbance, fatigue, sensitivity to light, and RPQ ≥21. The PoCS Rule had a sensitivity of 91.4% and 89.6%, a specificity of 53.8% and 44.7% and a negative predictive value of 97.2% and 95.8% in the derivation and validation cohorts, respectively. The PoCS Rule will help emergency physicians quickly stratify the risk of PPCS in mTBI patients and better plan post-discharge resources.

To assess the long-term functional and health-related quality-of-life (HRQoL) outcomes for out-of-hospital cardiac arrest (OHCA) survivors stratified by initial defibrillation provider.This retrospective study included adult non-traumatic OHCA with initial shockable rhythms between 2010 and 2019. Survivors at 12 months after arrest were invited to participate in structured telephone interviews. Outcomes were identified using the Glasgow Outcome Scale-Extended (GOS-E), EuroQol-5 Dimension (EQ-5D), 12-Item Short Form Health Survey and living and work status-related questions.6050 patients had initial shockable rhythms, 3211 (53.1%) had a pulse on hospital arrival, while 1879 (31.1%) were discharged alive. Bystander defibrillation using the closest automated external defibrillator had the highest survival rate (52.8%), followed by dispatched first responders (36.7%) and paramedics (27.9%). 1802 (29.8%) patients survived to 12-month postarrest; of these 1520 (84.4%) were interviewed. 1088 (71.6%) were initially shocked by paramedics, 271 (17.8%) by first responders and 161 (10.6%) by bystanders. Bystander-shocked survivors reported higher rates of living at home without care (87.5%, 75.2%, 77.0%, p<0.001), upper good recovery (GOS-E=8) (41.7%, 30.4%, 30.6%, p=0.002) and EQ-5D visual analogue scale (VAS) ≥80 (64.9%, 55.9%, 52.9%, p=0.003) compared with first responder and paramedics, respectively. After adjustment, initial bystander defibrillation was associated with higher odds of EQ-5D VAS ≥80 (adjusted OR (AOR) 1.56, 95% CI 1.15-2.10; p=0.004), good functional recovery (GOS-E ≥7) (AOR 1.53, 95% CI 1.12-2.11; p=0.009), living at home without care (AOR 1.77, 95% CI 1.16-2.71; p=0.009) and returning to work (AOR 1.72, 95% CI 1.05-2.81; p=0.031) compared with paramedic defibrillation.Survivors receiving initial bystander defibrillation reported better functional and HRQoL outcomes at 12 months after arrest compared with those initially defibrillated by paramedics.

Medical Journal of AustraliaVolume 178, Issue 3 p. 99-100 Editorial Access block: problems and progress Peter A Cameron, Peter A Cameron Professor Department of Emergency Medicine, Chinese University of Hong Kong, NT Hong Kong, SAR, China.Search for more papers by this authorDonald A Campbell, Donald A Campbell Associate Professor Clinical Epidemiology and Health Services Evaluation Unit, Royal Melbourne Hospital, Parkville, VIC.Search for more papers by this author Peter A Cameron, Peter A Cameron Professor Department of Emergency Medicine, Chinese University of Hong Kong, NT Hong Kong, SAR, China.Search for more papers by this authorDonald A Campbell, Donald A Campbell Associate Professor Clinical Epidemiology and Health Services Evaluation Unit, Royal Melbourne Hospital, Parkville, VIC.Search for more papers by this author First published: 03 February 2003 https://doi.org/10.5694/j.1326-5377.2003.tb05091.xCitations: 38Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article.Citing Literature Volume178, Issue3February 2003Pages 99-100 RelatedInformation

Although the Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire was designed, and has been validated, as a measure of disability in patients with disorders of the upper limb, the influence of those of the lower limb on disability as measured by the DASH score has not been assessed. The aim of this study was to investigate whether it exclusively measures disability associated with injuries to the upper limb. The Short Musculoskeletal Functional Assessment, a general musculoskeletal assessment instrument, was also completed by participants. Disability was compared in 206 participants, 84 with an injury to the upper limb, 73 with injury to the lower limb and 49 controls. We found that the DASH score also measured disability in patients with injuries to the lower limb. Care must therefore be taken when attributing disability measured by the DASH score to injuries of the upper limb when problems are also present in the lower limb. Its inability to discriminate clearly between disability due to problems at these separate sites must be taken into account when using this instrument in clinical practice or research.

To determine the drug use in injured Victorian drivers involved in motor vehicle collisions and subsequently transported to a major adult trauma centre in Victoria.A blood sample was obtained from patients who had been taken to The Alfred Emergency & Trauma Centre (Prahran, Vic., Australia) following a motor vehicle collision. This was performed at the same time and under the same law as compulsory blood screening in Victoria (Section 56 of the Road Safety Act). Four hundred and thirty-six specimens were analysed. Blood stored in vacutainer tubes containing preservative were screened for drugs using enzyme-linked immunosorbent assay and gas chromatography-mass spectometry analysis. Medically administered drugs were excluded from the results.Four hundred and thirty-six specimens were analysed. Metabolites of cannabis were the most commonly found drug (46.7%), the active form of cannabis (Delta9-tetrahydrocannabinol) was found in 33 specimens (7.6%). The next most prevalent drugs were benzodiazepines (15.6%), opiates (11%), amphetamines (4.1%) and methadone (3%). Cocaine was detected in 1.4% of cases. Of the motor vehicle collisions 66% involved males and females of 15-44 years old and Delta9-tetrahydrocannabinol was almost exclusively found in this age group. In motor vehicle collisions involving older drivers there was an increasing use of benzodiazepines. In women >65 years old 30% were positive for benzodiazepines.Drug usage found in this group of injured drivers was disturbingly high. The introduction of further initiatives to decrease the prevalence of drug use in motor vehicle drivers is required.

Abstract Measuring healthcare quality has become an increasingly important task for regulating bodies and healthcare institutions. Strategically chosen quality indicators provide a means of understanding the quality and safety of the healthcare system. Current frameworks developed to determine aspects of care to be measured do not provide the level of precision required to ensure that indicators are best selected to enable focused action to improve health. We propose a clearly structured process for selecting indicators at a national and local level based on six steps: (i) identify the problem for which measurement is needed, (ii) identify the perspective from which to measure, (iii) focus measurement on transition points through the health system, (iv) identify the type of probe required, (v) apply evaluation criteria to prioritize indicator selection and action and (vi) test the indicator in the clinical setting to which it will be applied. These steps should form the basis of a framework to drive quality indicator development.

Abstract Objective: To identify potentially preventable prehospital deaths following traumatic cardiac arrest. Methods: Deaths following prehospital traumatic cardiac arrest during 2003 were reviewed in the state of Victoria, Australia. Possible survival with optimal bystander first‐aid and shorter ambulance response times were identified. Injury Severity Scores (ISS) were calculated. Victims with an ISS &lt;50 and signs of life were reviewed for potentially preventable factors contributing to death including signs of airway obstruction, excessive bleeding and/or delayed ambulance response times. Results: We reviewed 112 cases that had full ambulance care records, hospital records and autopsy details in Victoria 2003. Most deaths involved road trauma and 55 victims had an ISS &lt;50. Twelve patients received first‐aid from bystanders. Ambulance response times &gt;10 min might have contributed to five deaths with an ISS &lt;25. Conclusion: Five (4.5%) potentially preventable prehospital trauma deaths were identified. Three deaths potentially involved airway obstruction and two involved excessive bleeding. There is a case for increased awareness of the need for bystander first‐aid at scene following major trauma.

For use in quality measurement, a quality indicator (QI) must satisfy a number of criteria: there needs to be an established link with outcome; the indicator needs to measure what is considered current accepted practice; the targeted population requires precise definition; an appropriate risk adjustment strategy must be employed; the indicator should be feasible for collection; and, the measure must apply to a sufficient number of people so as to provide a measure of system-wide quality. This article discusses the use of QIs in the care of trauma patients. A series of QIs were originally promulgated by the American College of Surgeons Committee on Trauma (ACSCOT) and have been investigated for their utility in measuring quality in trauma systems by a number of US based studies. While some have advocated the implementation of several specific indicators, others have recommended discontinued use of a range of proposed QIs. This review highlights the difficulties of meeting these ideal indicator requirements in trauma care and proposes that the development of alternative indicators may provide more useful measures of quality care.

There is increasing concern that medical care is of variable quality, with variable outcomes, safety, costs and experience for patients. Despite substantial efforts to improve patient safety, some studies suggest little evidence of reductions in adverse events. Furthermore, there is limited agreement about what outcomes are expected and whether increased expenditure results in a real improvement in outcome or experience. In emergency medicine, many countries have developed specific indicators to help drive improvements in patient care. Most of these are time based and there is a lack of consensus regarding which indicators are high priority and what an appropriate framework for measuring quality should look like.

The aim of this systematic review was to determine whether ethanol is neuroprotective or associated with adverse effects in the context of traumatic brain injury (TBI). Approximately 30-60% of TBI patients are intoxicated with ethanol at the time of injury. We performed a systematic review of the literature using a combination of keywords for ethanol and TBI. Manuscripts were included if the population studied was human subjects with isolated moderate to severe TBI, acute ethanol intoxication was studied as an exposure variable and mortality reported as an outcome. The included studies were assessed for heterogeneity. A meta-analysis was performed and the pooled odds ratio (OR) for the association between ethanol and in-hospital mortality reported. There were seven studies eligible for analysis. A statistically significant association favouring reduced mortality with ethanol intoxication was found (OR 0.78; 95% confidence interval 0.73-0.83). Heterogeneity among selected studies was not statistically significant (p=0.25). Following isolated moderate-severe TBI, ethanol intoxication was associated with reduced in-hospital mortality. The retrospective nature of the studies, varying definitions of brain injury, degree of intoxication and presence of potential confounders limits our confidence in this conclusion. Further research is recommended to explore the potential use of ethanol as a therapeutic strategy following TBI.

The aim of this study was to establish the profile and outcomes of paediatric major trauma care (PTMC) within an integrated inclusive regionalised trauma system.Prospectively collected data from July 2001 to June 2009 from the Victorian State Trauma Registry of patients aged <18 years were reviewed.There were 1634 major trauma cases with a median (IQR) age of 13 (6-16) years and 69% were male. The median ISS (IQR) was 18 (16-26). There were 1361 patients treated at a major trauma centre of which 69% (n=943) were treated at the PMTC. Head injury (AIS>2) was the most frequent injury (n=950, 58%). Surgery was required in 39% (n=637) of all cases; 437 patients in the 10-17 year old group and 200 patients in the 0-9 year old group; the mortality was 6.6%. There were 530 patients (32.4%) ventilated in ICU; these had a median ISS (IQR) of 25 (17-34) and mortality of 7.4%. Improvements in risk-adjusted mortality have occurred as the years have progressed [adjusted OR 95% CI: 0.87 (0.76, 0.99)] and being treated at a Level 1 trauma centre was associated with lower adjusted odds of mortality [adjusted OR 95% CI: 0.27 (0.11, 0.68)].The establishment of this integrated inclusive regionalised trauma system has been associated with progressively improving risk-adjusted mortality. The relatively low volume of major trauma requiring surgery in the 0-9 year old age group is notable, creating a challenging environment for maintaining skills and institutional preparedness.

To explore health professionals' perspectives about caring for community-dwelling older patients in the ED.This exploratory qualitative study was undertaken with emergency nursing, medical and allied health staff from the ED of a large metropolitan public hospital in Melbourne. Nine focus groups (n = 54) and seven interviews were conducted between 2013 and 2014. Data were thematically analysed.Health professionals described tailoring their approach when caring for older patients, including adopting a specific communication approach (i.e. increased voice volume, slower rate of speech). Caring for older patients was perceived as challenging given the need to balance the expectations of family members to deal with associated complex needs and limited time for transitional care planning in the ED. The environment and equipment were perceived as unsuitable, alongside a lack of geriatric-specific knowledge; contributing to what health professionals described as a poor fit between the ED system and older patients' needs.The growing number of older patients presents numerous challenges for emergency health professionals and necessitates a tailored approach to care. Understanding health professionals' perspectives about caring for older patients can inform strategies that may improve the quality of care. Creating older person-friendly areas, improving transitional care and providing staff with specific education would foster an environment that promotes person-centred care, safety, independence and functional wellbeing.

Reviewing prehospital trauma deaths provides an opportunity to identify system improvements that may reduce trauma mortality. The objective of this study was to identify the number and rate of potentially preventable trauma deaths through expert panel reviews of prehospital and early in-hospital trauma deaths.We conducted a retrospective review of prehospital and early in-hospital (<24 h) trauma deaths following a traumatic out-of-hospital cardiac arrest that were attended by Ambulance Victoria (AV) in the state of Victoria, Australia, between 2008 and 2014. Expert panels were used to review cases that had resuscitation attempted by paramedics and underwent a full autopsy. Patients with a mechanism of hanging, drowning or those with anatomical injuries deemed to be unsurvivable were excluded.Of the 1183 cases that underwent full autopsies, resuscitation was attempted by paramedics in 336 (28%) cases. Of these, 113 cases (34%) were deemed to have potentially survivable injuries and underwent expert panel review. There were 90 (80%) deaths that were not preventable, 19 (17%) potentially preventable deaths and 4 (3%) preventable deaths. Potentially preventable or preventable deaths represented 20% of those cases that underwent review and 7% of cases that had attempted resuscitation.The number of potentially preventable or preventable trauma deaths in the pre-hospital and early in-hospital resuscitation phase was low. Specific circumstances were identified in which the trauma system could be further improved.

To investigate trends in the incidence and causes of traumatic spinal cord injury (TSCI) in Victoria over a 10-year period.Retrospective cohort study: analysis of Victorian State Trauma Registry (VSTR) data for people who sustained TSCIs during 2007-2016.Temporal trends in population-based incidence rates of TSCI (injury to the spinal cord with an Abbreviated Injury Scale [AIS] score of 4 or more).There were 706 cases of TSCI, most the result of transport events (269 cases, 38%) or low falls (197 cases, 28%). The overall crude incidence of TSCI was 1.26 cases per 100 000 population (95% CI, 1.17-1.36 per 100 000 population), and did not change over the study period (incidence rate ratio [IRR], 1.01; 95% CI, 0.99-1.04). However, the incidence of TSCI resulting from low falls increased by 9% per year (95% CI, 4-15%). The proportion of TSCI cases classified as incomplete tetraplegia increased from 41% in 2007 to 55% in 2016 (P < 0.001). Overall in-hospital mortality was 15% (104 deaths), and was highest among people aged 65 years or more (31%, 70 deaths).Given the devastating consequences of TSCI, improved primary prevention strategies are needed, particularly as the incidence of TSCI did not decline over the study period. The epidemiologic profile of TSCI has shifted, with an increasing number of TSCI events in older adults. This change has implications for prevention, acute and post-discharge care, and support.

Trauma is a leading cause of mortality. Holistic views of trauma systems consider injury as a public health problem that requires efforts in primary, secondary and tertiary prevention. However, the performance of trauma systems is commonly judged on the in-hospital mortality rate. Such a focus misses opportunities to consider all deaths within a population, to understand differences in in-hospital and out-of-hospital trauma deaths and to inform population-level injury prevention efforts. The aim of this study was to provide an epidemiological overview of out-of-hospital and in-hospital trauma deaths in a geographically-defined area over a 10-year period.We performed a population-based review of out-of-hospital and in-hospital trauma deaths over the period of 01 July 2006 to 30 June 2016 in Victoria, Australia, using data from the National Coronial Information System and the Victorian State Trauma Registry. Temporal trends in population-based incidence rates were evaluated.Over the study period, there were 11,246 trauma deaths, of which 71% were out-of-hospital deaths. Out-of-hospital trauma deaths commonly resulted from intentional self-harm events (50%) and transport events (35%), while in-hospital trauma deaths commonly resulted from low falls (≤1 metre) (50%). The incidence of overall trauma deaths did not change over the study period (incidence rate ratio 0.998; 95%CI: 0.991, 1.004; P = 0.56).Out-of-hospital deaths accounted for most trauma deaths. Given the notable differences between out-of-hospital and in-hospital trauma deaths, monitoring of all trauma deaths is necessary to inform injury prevention activities and to reduce trauma mortality. The absence of a change in the incidence of both out-of-hospital and in-hospital trauma deaths demonstrates the need for enhanced activities across all aspects of injury prevention.

Trauma-induced coagulopathy in patients with traumatic brain injury (TBI) is associated with high rates of complications, unfavourable outcomes and mortality. The mechanism of the development of TBI-associated coagulopathy is poorly understood.This analysis, embedded in the prospective, multi-centred, observational Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study, aimed to characterise the coagulopathy of TBI. Emphasis was placed on the acute phase following TBI, primary on subgroups of patients with abnormal coagulation profile within 4 h of admission, and the impact of pre-injury anticoagulant and/or antiplatelet therapy. In order to minimise confounding factors, patients with isolated TBI (iTBI) (n = 598) were selected for this analysis.Haemostatic disorders were observed in approximately 20% of iTBI patients. In a subgroup analysis, patients with pre-injury anticoagulant and/or antiplatelet therapy had a twice exacerbated coagulation profile as likely as those without premedication. This was in turn associated with increased rates of mortality and unfavourable outcome post-injury. A multivariate analysis of iTBI patients without pre-injury anticoagulant therapy identified several independent risk factors for coagulopathy which were present at hospital admission. Glasgow Coma Scale (GCS) less than or equal to 8, base excess (BE) less than or equal to - 6, hypothermia and hypotension increased risk significantly.Consideration of these factors enables early prediction and risk stratification of acute coagulopathy after TBI, thus guiding clinical management.

There is an urgency to support Australian ED clinicians with real-time tools as the COVID-19 pandemic evolves. The COVID-19 Emergency Department (COVED) Quality Improvement Project has commenced and will provide flexible and responsive clinical tools to determine the predictors of key ED-relevant clinical outcomes.The COVED Project includes all adult patients presenting to a participating ED and meeting contemporary testing criteria for COVID-19. The dataset has been embedded in the electronic medical record and the COVED Registry has been developed.Outcomes measured include being COVID-19 positive and requiring intensive respiratory support. Regression methodology will be used to generate clinical prediction tools.This project will support EDs during this pandemic.

To describe the management of arterial partial pressure of carbon dioxide (PaCO2) in severe traumatic brain-injured (TBI) patients, and the optimal target of PaCO2 in patients with high intracranial pressure (ICP).Secondary analysis of CENTER-TBI, a multicentre, prospective, observational, cohort study. The primary aim was to describe current practice in PaCO2 management during the first week of intensive care unit (ICU) after TBI, focusing on the lowest PaCO2 values. We also assessed PaCO2 management in patients with and without ICP monitoring (ICPm), and with and without intracranial hypertension. We evaluated the effect of profound hyperventilation (defined as PaCO2 < 30 mmHg) on long-term outcome.We included 1100 patients, with a total of 11,791 measurements of PaCO2 (5931 lowest and 5860 highest daily values). The mean (± SD) PaCO2 was 38.9 (± 5.2) mmHg, and the mean minimum PaCO2 was 35.2 (± 5.3) mmHg. Mean daily minimum PaCO2 values were significantly lower in the ICPm group (34.5 vs 36.7 mmHg, p < 0.001). Daily PaCO2 nadir was lower in patients with intracranial hypertension (33.8 vs 35.7 mmHg, p < 0.001). Considerable heterogeneity was observed between centers. Management in a centre using profound hyperventilation (HV) more frequently was not associated with increased 6 months mortality (OR = 1.06, 95% CI = 0.77-1.45, p value = 0.7166), or unfavourable neurological outcome (OR 1.12, 95% CI = 0.90-1.38, p value = 0.3138).Ventilation is manipulated differently among centers and in response to intracranial dynamics. PaCO2 tends to be lower in patients with ICP monitoring, especially if ICP is increased. Being in a centre which more frequently uses profound hyperventilation does not affect patient outcomes.

Introduction Assessing outcomes in the paediatric trauma population is important. Identifying suitable instruments can be problematic. This article highlights the commonly used outcome measures for assessing functional status and health related quality of life in paediatric trauma patients. Child specific characteristics which impact upon instrument development and selection are reviewed. Methods An electronic database search was conducted to identify suitable English language measures used for outcome assessment in paediatric trauma patients from 1966 to present. Results Nine suitable instruments were identified, the child health questionnaire (CHQ), Glasgow outcome scale (GOS), paediatric overall performance category (POPC), PedsQL™ 4.0 generic core scales, paediatric evaluation of disability inventory (PEDI), functional independence measure (FIM™), WeeFIM™ and an unnamed paediatric trauma specific measure [Gofin R, Hass T, Adler B, The development of disability scales for childhood and adolescent injuries. J Clin Epidemiol 1995;48:977–84]. Each instrument was found to have advantages and disadvantages for assessing outcomes in a paediatric trauma population. Conclusion The PedsQL™ 4.0 generic core scale could be feasible for administration as a routine outcome measure for paediatric trauma groups. For very young children an additional measure such as that proposed by Gofin et al. [Gofin R, Hass T, Adler B, The development of disability scales for childhood and adolescent injuries. J Clin Epidemiol 1995;48:977–84] may be indicated. Future use of these instruments in the paediatric population would benefit from further psychometric evaluation.

Trauma registry data are usually incomplete. Various methods for dealing with missing data have been used, some of which lead to biased results. One method that reduces bias, multiple imputation (MI), has not been widely adopted. There is no standardization of the approach to missing data across trauma registries.This study examined the effect of using selected methods for handling missing data on a recognized trauma outcome measure.Data from the Victorian State Trauma Registry (VSTR) were used for the period July 2003 to June 2008. Three methods for handling missing data were investigated: complete case analysis, single imputation, and MI. The latter was applied using five distinct models, each with a different combination of variables (Trauma and Injury Severity score [TRISS] variables; prehospital Glasgow Coma Scale [GCS], respiratory rate, and systolic blood pressure; arrival by ambulance; transfer to a second hospital; and whether the GCS was "legitimate" according to the TRISS definition). For each method, TRISS analysis (comparing actual and expected deaths) was performed; the W-score and Z-statistic were derived. A Z-statistic greater than 1.96 in absolute value was considered statistically significant.Of 10,180 cases, 2,398 (24%) were missing at least one of the component variables necessary for TRISS analysis. With the use of complete case analysis, the W-score was 0.54 unexpected survivors for every 100 cases, with a Z-statistic of -1.96. Using two approaches to single imputation, the W-scores were -1.41, with Z-statistics of -5.19 and -5.30. Applying four of the five combinations of variables used for MI, there was a statistically significant number of unexpected survivors (W = -0.60, Z = -2.23; W = -0.52, Z = -1.97; W = -0.53, Z = -1.97; W = -0.63, Z = -2.24). However, using MI confined to TRISS variables only, there was a statistically significant number of unexpected deaths (W = +0.52, Z = +1.98).Missing data methods can influence the assessment of trauma care performance and need to be reported in all analyses. It is important that validated standardized approaches to dealing with missing data are universally adopted and reported.

Early detection of acute traumatic coagulopathy (ATC) might be useful to guide trauma resuscitation. This study aimed to compare results from a point-of-care (POC) international normalised ratio (INR) measuring device with plasma INR in acute trauma patients.This was a single-centre, prospective, blinded comparative study. All trauma patients meeting trauma call-out criteria in a major trauma centre were screened. Patients predicted to have ATC were identified by the Coagulopathy of Severe Trauma score and a convenience sample of 72 patients included in this study. Whole blood was used to measure INR at the bedside, whereas blood from the same sample was sent to the hospital laboratory for plasma INR testing. Agreement between the laboratory and bedside INR was determined using a Bland-Altman plot.There were 38 (52.8%) patients with ATC by laboratory measure, defined as INR >1.5 or activated partial thrombin time >60 s, whereas the POC system identified 28 (38.9%) patients with an INR >1.5. Assuming the laboratory measure as the gold standard, the POC system had a specificity of 88.2% (95% confidence interval 71.6-96.2) and a sensitivity of 63.1% (95% confidence interval 46.0-77.7). Bland-Altman plots demonstrated inadequate agreement between the two methods of INR measurement for the major trauma patient.POC INR measurements using this method during the trauma reception and resuscitative phases cannot be used to identify or exclude patients with ATC. Further studies are required to determine if there is any role for POC INR measures during trauma resuscitation.