Pharmacists in Trauma: a randomised controlled trial of emergency medicine pharmacists in trauma response teams.

BACKGROUND: Analgesia is an important component for patient well-being, but commonly delayed during trauma resuscitation. The Pharmacists in Trauma trial assessed the effects of integrating pharmacists into trauma response teams to improve analgesia delivery and medication management. METHODS: This unblinded randomised trial compared emergency medicine (EM) pharmacist involvement in trauma callouts versus standard care at an Australian level 1 trauma centre. Randomisation was performed via an online single sequence randomisation service. Eligible patients included those managed with a trauma callout during working hours of an EM pharmacist. Pharmacists were able to prescribe medications using a Partnered Pharmacist Medication Charting model. The primary outcome was the proportion of patients who had first dose analgesia within 30 min compared using the χ2 test. RESULTS: From 15 July 2021 until 31 January 2022, there were 119 patients randomised with 37 patients excluded as no analgesia was required. There were 82 patients included for analysis, 39 in the control arm and 43 in the intervention arm. The primary outcome was achieved in 25 (64.1%) patients in the control arm and 36 (83.7%) patients in the pharmacist arm (relative risk 1.31; 95% CI 1.0 to 1.71; p=0.042). Time to analgesia in the control arm was 28 (22-35) mins and 20 (15-26 mins) with pharmacist involvement; p=0.025. In the pharmacist arm, the initial dose of analgesia was prescribed by the pharmacist for 38 (88.4%) patients. There were 27 other medications prescribed by the pharmacist for the management of these patients. There were no differences in emergency and trauma centre or hospital length of stay. CONCLUSION: Addition of the EM pharmacist in trauma response teams improved time to analgesia. Involvement of an EM pharmacist in trauma reception and resuscitation may assist by optimising medication management, with members of the team more available to focus on other life-saving interventions. TRIAL REGISTRATION NUMBER: ACTRN12621000338864.

Review article: Pre-hospital trauma guidelines and access to lifesaving interventions in Australia and Aotearoa/New Zealand.

The centralisation of trauma services in western countries has led to an improvement in patient outcomes. Effective trauma systems include a pre-hospital trauma system. Delivery of high-level pre-hospital trauma care must include identification of potential major trauma patients, access and correct application of lifesaving interventions (LSIs) and timely transport to definitive care. Globally, many nations endorse nationwide pre-hospital major trauma triage guidelines, to ensure a universal approach to patient care. This paper examined clinical guidelines from all 10 EMS in Australia and Aotearoa/New Zealand. All relevant trauma guidelines were included, and key information was extracted. Authors compared major trauma triage criteria, all LSI included in guidelines, and guidelines for transport to definitive care. The identification of major trauma patients varied between all 10 EMS, with no universal criteria. The most common approach to trauma triage included a three-step assessment process: physiological criteria, identified injuries and mechanism of injury. Disparity between physiological criteria, injuries and mechanism was found when comparing guidelines. All 10 EMS had fundamental LSI included in their trauma guidelines. Fundamental LSI included haemorrhage control (arterial tourniquets, pelvic binders), non-invasive airway management (face mask ventilation, supraglottic airway devices) and pleural wall needle decompression. Variation in more advanced LSI was evident between EMS. Optimising trauma triage guidelines is an important aspect of a robust and evidence driven trauma system. The lack of consensus in trauma triage identified in the present study makes benchmarking and comparison of trauma systems difficult.

Refining ambulance clinical response models: The impact on ambulance response and emergency department presentations.

OBJECTIVE: The ambulance service in Victoria, Australia implemented a revised clinical response model (CRM) in 2016 which was designed to increase the diversion of low-acuity Triple Zero (000) calls to secondary telephone triage and reduce emergency ambulance dispatches. The present study evaluates the influence of the revised CRM on emergency ambulance response times and ED presentations. METHODS: A retrospective study of emergency calls for ambulance between 1 January 2015 and 31 December 2018. Ambulance data were linked with ED presentations occurring up to 48 h after contact. Interrupted time series analyses were used to evaluate the impact of the revised CRM. RESULTS: A total of 2 365 529 calls were included. The proportion allocated a Code 1 (time-critical, lights/sirens) dispatch decreased from 56.6 to 41.0% after implementation of the revised CRM. The proportion of calls not receiving an emergency ambulance increased from 10.4 to 19.6%. Interrupted time series analyses demonstrated an improvement in Code 1 cases attended within 15 min (Key Performance Indicator). However, for patients with out-of-hospital cardiac arrest or requiring lights and sirens transport to hospital, there was no improvement in response time performance. By the end of the study period, there was also no difference in the proportion of callers presenting to ED when compared with the estimated proportion assuming the revised CRM had not been implemented. CONCLUSION: The revised CRM was associated with improved Code 1 response time performance. However, there was no improvement in response times for high acuity patients, and no change in the proportion of callers presenting to ED.

Change from semi-rigid to soft collars for prehospital management of trauma patients: An observational study.

Objectives: Protection of the cervical spine is recommended following multisystem injury. In 2021, Ambulance Victoria changed clinical practice guidelines to apply soft collars instead of semi-rigid collars for suspected cervical spine injury. The aim of this study was to describe associated changes in imaging practices and diagnoses of pressure sores, hospital acquired pneumonia, and spinal cord injury. Methods: A retrospective pre- and postintervention study was conducted including all consecutive patients that presented to an adult major trauma center in Melbourne, Australia with a cervical collar placed by emergency medical services over two 3-month periods. Results: There were 1762 patients included. A computed tomography (CT) of the cervical spine was performed in 795 (88.4%) patients in the semi-rigid collar period and 810 (93.8%) in the soft collar period (p = 0.001). Soft collars were associated with higher rates of clearance of the cervical spine in the emergency department (ED) (odds ratio [OR] 4.14; 95% confidence interval [CI]: 3.36-5.09). There were no differences in diagnosis of pressure sores (0.11% vs. 0.23%, p = 0.97) or hospital acquired pneumonia (2.0% vs. 2.7%; p = 0.44) or cervical spinal cord injury (0.45% vs. 0.81%; p = 0.50). Conclusions: Following a change from prehospital semi-rigid collars to soft collars, more patients were investigated with a CT scan and more frequent clearance of the cervical spine occurred in the ED. There were no differences in the rates of spinal cord injuries, pressure sores or hospital acquired pneumonia, but the study was underpowered to detect significant differences. The practice of soft collars for prehospital care of patients with suspected neck injury requires ongoing surveillance.

Association between acute pre-injury alcohol use and 12-month health outcomes for survivors of major trauma: A registry-based study.

INTRODUCTION: Alcohol is commonly detected in patients presenting to hospital after major trauma and is a key preventable risk factor for injury. While it has been suggested that alcohol intoxication at the time of injury results in worse acute patient outcomes, there is currently limited knowledge on the impact of alcohol on health outcomes following hospital discharge. The aim of this study was to examine the relationship between acute pre-injury alcohol exposure and the self-reported health outcomes of survivors of major trauma 12-months post-injury. METHODS: Data from the Victorian State Trauma Registry (January 1, 2018 to December 31, 2020) were used to identify major trauma patients who: (1) were aged ≥18 years; (2) survived to 12-months post-injury; and (3) had blood alcohol data available in the registry. Logistic regression analyses were used to examine differences in self-reported health status (EQ-5D) and return to work at 12-months post-injury by blood alcohol concentration (BAC) at the time of presentation to hospital. Analyses were adjusted for potential confounders including a range of demographic, hospital and injury characteristics. RESULTS: A total of 2957 patients met inclusion criteria, of which 857 (29.0 %) had a BAC >0 and 690 (23.3 %) had a BAC ≥0.05 g/100 mL. After adjusting for potential confounders, having any alcohol detected (i.e., BAC >0) was associated with lower odds of reporting problems on the EQ-5D mobility (aOR = 0.72, 95 %CI = 0.53 to 0.99) and usual activities dimensions (aOR = 0.79, 95 %CI = 0.63 to 0.99). Having a BAC ≥0.05 g/100 mL was only associated with lower adjusted odds of reporting problems on the usual activities dimension (aOR = 0.69, 95 %CI = 0.55 to 0.88) of the EQ-5D. Alcohol detection was not associated with the self-care, pain/discomfort or anxiety/depression dimensions of the EQ-5D, or with return to work in adjusted analyses. CONCLUSION: Acute pre-injury alcohol exposure was not associated with increased reporting of problems on the EQ-5D or with return to work at 12-months post-injury. Further research is needed to understand why patients with alcohol detections were sometimes associated with paradoxically better 12-month post-injury outcomes relative to patients without alcohol detections.

Assessing Stroke Awareness and Behavioural Response Following the National 'Act Fast' Stroke Awareness Campaign - Insights from a Cross-Sectional Survey in Qatar.

Evaluating stroke campaigns and associated behavioural changes is crucial to assess intervention effectiveness and inform future strategies. We aimed to evaluate patient's and bystanders' foreknowledge of stroke signs and symptoms and their response at stroke onset. We interviewed stroke patients using a validated questionnaire or their bystanders if the stroke patient had disabling stroke. The questionnaire was administered to 165 participants, 142 (86.1%) stroke patients and 23 (13.9%) bystanders. The mean age was 52.6 (SD = 11.7), and male-female ratio was 7:1. Among the participants, 33 (20.1%) had foreknowledge of stroke signs, and of these, 27 (16.5%) were aware of the stroke campaign in Qatar. The behavioural responses at stroke onset included; activating Emergency Medical Services (EMS) (n = 55, 33.3%), calling friends/relatives (n = 69, 41.8%), driving to hospital (n = 33, 20%), waiting for improvement in condition (n = 21, 12.7%). There was no association of ethnicity, marital status, or campaign awareness with EMS activation. Despite limited community awareness of stroke signs and campaign, help-seeking behaviour through EMS activation was generally high, underscoring the need for focused educational efforts and public health interventions.

The Australian Traumatic Brain Injury Initiative: Review and Recommendations for Outcome Measures for Use With Adults and Children After Moderate-to-Severe Traumatic Brain Injury.

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).

The Australian Traumatic Brain Injury Initiative: Statement of Working Principles and Rapid Review of Methods to Define Data Dictionaries for Neurological Conditions.

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.

Identifying areas of Australia with high out-of-hospital cardiac arrest incidence and low bystander cardiopulmonary resuscitation rates: A retrospective, observational study.

AIM: This study aims to explore regional variation and identify regions within Australia with high incidence of out-of-hospital cardiac arrest (OHCA) and low rates of bystander cardiopulmonary resuscitation (CPR). METHOD: Adult OHCAs of presumed medical aetiology occurring across Australia between 2017 and 2019 were mapped onto local government areas (LGA) using the location of arrest coordinates. Bayesian spatial models were applied to provide "smoothed" estimates of OHCA incidence and bystander CPR rates (for bystander-witnessed OHCAs) for each LGA. For each state and territory, high-risk LGAs were defined as those with an incidence rate greater than the state or territory's 75th percentile and a bystander CPR rate less than the state or territory's 25th percentile. RESULTS: A total of 62,579 OHCA cases attended by emergency medical services across 543 LGAs nationwide were included in the study. Nationally, the OHCA incidence rate across LGA ranged from 58.5 to 198.3 persons per 100,000, while bystander CPR rates ranged from 45% to 75%. We identified 60 high-risk LGAs, which were predominantly located in the state of New South Wales. Within each region, high-risk LGAs were typically located in regional and remote areas of the country, except for four metropolitan areas-two in Adelaide and two in Perth. CONCLUSIONS: We have identified high-risk LGAs, characterised by high incidence and low bystander CPR rates, which are predominantly in regional and remote areas of Australia. Strategies for reducing OHCA and improving bystander response may be best targeted at these regions.

Correction: Identifying areas of Australia with high out-of-hospital cardiac arrest incidence and low bystander cardiopulmonary resuscitation rates: A retrospective, observational study.

[This corrects the article DOI: 10.1371/journal.pone.0301176.].

Epidemiological profile of stroke in Qatar: Insights from a seven-year observational study.

OBJECTIVES: Stroke prevalence is progressively increasing in developing countries due to increased vascular risk factors. This study aims to describe the epidemiology, prevalent risk factors, and outcomes of stroke in a multi-ethnic society of Qatar. MATERIALS AND METHODS: We conducted a retrospective analysis of all patients with suspected stroke admitted to stroke services between January 2014 and September 2020. RESULTS: A total of 11,892 patients were admitted during this period with suspected stroke. Of these, the diagnosis was ischemic stroke (48.8 %), transient ischemic attack (10.3 %), intracerebral hemorrhage (10.9 %), cerebral venous sinus thrombosis (1.3 %), and stroke mimics (28.6 %). The median age was 52 (43-62), with a male-female ratio of 3:1. The study population was predominantly Asian (56.8 %) and Arab (36 %). The majority of the patients were hypertensive (66.8 %), diabetic (47.9 %), and dyslipidemic (45.9 %). A history of prior stroke was observed in 11.7 %, while 0.9 % had prior transient ischemic attack. Among ischemic strokes, 31.7 % arrived within 4.5 h, 12.5 % received thrombolysis, and 4.6 % underwent thrombectomy. Median Door-to-Needle time was 51 (33-72) minutes. The average length of stay was 5.2 ± 9.0 days, with 71.5 % discharged home, 13.8 % transferred to rehabilitation, 9.3 % to other specialties, 3 % to long-term care, and 2.4 % suffered in-hospital mortality. CONCLUSION: Stroke in Qatar is characterized by a younger, expatriate-dominant cohort, with notable prevalence of ischemic and hemorrhagic stroke and a distinct risk factor profile. Further analysis of epidemiological differences among different population groups can inform targeted policies for prevention and management to reduce the burden of disease.

IFEM model curriculum: emergency medicine learning outcomes for undergraduate medical education.

BACKGROUND: The International Federation for Emergency Medicine (IFEM) published its model curriculum for medical student education in emergency medicine in 2009. Because of the evolving principles of emergency medicine and medical education, driven by societal, professional, and educational developments, there was a need for an update on IFEM recommendations. The main objective of the update process was creating Intended Learning Outcomes (ILOs) and providing tier-based recommendations. METHOD: A consensus methodology combining nominal group and modified Delphi methods was used. The nominal group had 15 members representing eight countries in six regions. The process began with a review of the 2009 curriculum by IFEM Core Curriculum and Education Committee (CCEC) members, followed by a three-phase update process involving survey creation [The final survey document included 55 items in 4 sections, namely, participant & context information (16 items), intended learning outcomes (6 items), principles unique to emergency medicine (20 items), and content unique to emergency medicine (13 items)], participant selection from IFEM member countries and survey implementation, and data analysis to create the recommendations. RESULTS: Out of 112 invitees (CCEC members and IFEM member country nominees), 57 (50.9%) participants from 27 countries participated. Eighteen (31.6%) participants were from LMICs, while 39 (68.4%) were from HICs. Forty-four (77.2%) participants have been involved with medical students' emergency medicine training for more than five years in their careers, and 56 (98.2%) have been involved with medical students' training in the last five years. Thirty-five (61.4%) participants have completed a form of training in medical education. The exercise resulted in the formulation of tiered ILO recommendations. Tier 1 ILOs are recommended for all medical schools, Tier 2 ILOs are recommended for medical schools based on perceived local healthcare system needs and/or adequate resources, and Tier 3 ILOs should be considered for medical schools based on perceived local healthcare system needs and/or adequate resources. CONCLUSION: The updated IFEM ILO recommendations are designed to be applicable across diverse educational and healthcare settings. These recommendations aim to provide a clear framework for medical schools to prepare graduates with essential emergency care capabilities immediately after completing medical school. The successful distribution and implementation of these recommendations hinge on support from faculty and administrators, ensuring that future healthcare professionals are well-prepared for emergency medical care.

Impact of the Southeast Melbourne Virtual Emergency Department on reducing transfers from residential aged care facilities.

OBJECTIVE: To evaluate the impact of the Southeast Melbourne Virtual Emergency Department (SEMVED) on transfers from residential aged care facilities (RACFs) to traditional EDs. METHODS: A cohort study of residents requesting transfer to the ED via ambulance within participating health networks' catchments from April to June 2022. RESULTS: Two hundred thirty-eight VED consultations occurred with 79% (188/238) avoiding transfer. This represented an avoidance of 12% (188/1511) of all requests for transfer during operating hours. CONCLUSIONS: SEMVED prevented unnecessary transfers and enabled in-facility care. Integration into community outreach programmes could enhance care delivery. Patient safety outcomes were not formally assessed by our methodology.

Making the most of what we have: What does the future hold for Emergency Department data?

Over 10 million ED visits occur each year across Australia and Aotearoa New Zealand. Outside basic administrative data focused on time-based targets, there is minimal information about clinical performance, quality of care, patient outcomes, or equity in emergency care. The lack of a timely, accurate or clinically useful data collection represents a missed opportunity to improve the care we deliver each day. The present paper outlines a proposal for a National Acute Care Secure Health Data Environment, including design, possible applications, and the steps taken to date by the Australasian College for Emergency Medicine ED Epidemiology Network in collaboration with the College of Emergency Nursing Australasia. Optimal use of the existing information collected routinely during clinical care of emergency patients has the potential to enable data-driven quality improvement and research, leading to better care and better outcomes for millions of patients and families each year.

The Australian Traumatic Brain Injury Initiative: Single Data Dictionary to Predict Outcome for People With Moderate-Severe Traumatic Brain Injury.

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.

The Australian Traumatic Brain Injury Initiative: Systematic Review and Consensus Process to Determine the Predictive Value of Pre-existing Health Conditions for People with Moderate-Severe Traumatic Brain Injury.

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.

The Australian Traumatic Brain Injury Initiative: Systematic Review of Predictive Value of Biological Markers for People With Moderate-Severe Traumatic Brain Injury.

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: Systematic Review and Consensus Process to Determine the Predictive Value of Demographic, Injury Event, and Social Characteristics on Outcomes for People With Moderate-Severe Traumatic Brain Injury.

The objective of the Australian Traumatic Brain Injury (AUS-TBI) Initiative is to develop a data dictionary to inform data collection and facilitate prediction of outcomes of people who experience moderate-severe TBI in Australia. The aim of this systematic review was to summarize the evidence of the association between demographic, injury event, and social characteristics with outcomes, in people with moderate-severe TBI, to identify potentially predictive indicators. Standardized searches were implemented across bibliographic databases to March 31, 2022. English-language reports, excluding case series, which evaluated the association between demographic, injury event, and social characteristics, and any clinical outcome in at least 10 patients with moderate-severe TBI were included. Abstracts and full text records were independently screened by at least two reviewers in Covidence. A pre-defined algorithm was used to assign a judgement of predictive value to each observed association. The review findings were discussed with an expert panel to determine the feasibility of incorporation of routine measurement into standard care. The search strategy retrieved 16,685 records; 867 full-length records were screened, and 111 studies included. Twenty-two predictors of 32 different outcomes were identified; 7 were classified as high-level (age, sex, ethnicity, employment, insurance, education, and living situation at the time of injury). After discussion with an expert consensus group, 15 were recommended for inclusion in the data dictionary. This review identified numerous predictors capable of enabling early identification of those at risk for poor outcomes and improved personalization of care through inclusion in routine data collection.

The Australian Traumatic Brain Injury Initiative: Systematic Review of the Effect of Acute Interventions on Outcome for People With Moderate-Severe Traumatic Brain Injury.

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, for inclusion in a data dictionary. Standardized searches were implemented across bibliographic databases from inception through April 2022. English-language reports of randomized 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. 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 4 interventions were considered to have medium modifying value for any outcome from the review, with an additional 8 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. 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 Australian Traumatic Brain Injury Initiative: Systematic Review of Clinical Factors Associated with Outcomes in People with Moderate-Severe Traumatic Brain Injury.

The aim of the Australian Traumatic Brain Injury Initiative (AUS-TBI) is to design a data dictionary to inform data collection and facilitate prediction of outcomes for moderate-severe traumatic brain injury (TBI) across Australia. The process has engaged diverse stakeholders across six areas: social, health, clinical, biological, acute interventions, and long-term outcomes. Here, we report the results of the clinical review. Standardized searches were implemented across databases to April 2022. English-language reports of studies evaluating an association between a clinical factor and any clinical outcome in at least 100 patients with moderate-severe TBI were included. Abstracts, and full-text records, were independently screened by at least two reviewers in Covidence. The findings were assessed through a consensus process to determine inclusion in the AUS-TBI data resource. The searches retrieved 22,441 records, of which 1137 were screened at full text and 313 papers were included. The clinical outcomes identified were predominantly measures of survival and disability. The clinical predictors most frequently associated with these outcomes were the Glasgow Coma Scale, pupil reactivity, and blood pressure measures. Following discussion with an expert consensus group, 15 were recommended for inclusion in the data dictionary. This review identified numerous studies evaluating associations between clinical factors and outcomes in patients with moderate-severe TBI. A small number of factors were reported consistently, however, how and when these factors were assessed varied. The findings of this review and the subsequent consensus process have informed the development of an evidence-informed data dictionary for moderate-severe TBI in Australia.