Canadian Trauma System Research Articles

Injury outcomes across Canadian trauma systems: a historical cohort study.

Most North American trauma systems have designated trauma centres (TCs) including level I (ultraspecialized high-volume metropolitan centres), level II (specialized medium-volume urban centres), and/or level III (semirural or rural centres). Trauma system configuration varies across provinces and it is unclear how these differences influence patient distributions and outcomes. We aimed to compare patient case mix, case volumes, and risk-adjusted outcomes of adults with major trauma admitted to designated level I, II, and III TCs across Canadian trauma systems. In a national historical cohort study, we extracted data from Canadian provincial trauma registries on major trauma patients treated between 2013 and 2018 in all designated level I, II, or III TCs in British Columbia, Alberta, Quebec, and Nova Scotia; level I and II TCs in New Brunswick; and four TCs in Ontario. We used multilevel generalized linear models to compare mortality and intensive care unit (ICU) admission and competitive risk models for hospital and ICU length of stay (LOS). Ontario could not be included in outcome comparisons because there were no population-based data from this province. The study sample comprised 50,959 patients. Patient distributions in level I and II TCs were similar across provinces but we observed significant differences in case mix and volumes for level III TCs. There was low variation in risk-adjusted mortality and LOS across provinces and TCs but interprovincial and intercentre variation in risk-adjusted ICU admission was high. Our results suggest that differences in the functional role of TCs according to their designation level across provinces leads to significant variations in the distribution of patients, case volumes, resource use, and clinical outcomes. These results highlight opportunities to improve Canadian trauma care and underline the need for standardized population-based injury data to support national quality improvement efforts.

Adherence to Clinical Practice Guideline Recommendations on Low-Value Injury Care: A Multicenter Retrospective Cohort Study

ObjectivesLow-value clinical practices have been identified as one of the most important areas of excess healthcare spending. Nevertheless, there is a knowledge gap on the scale of this problem in injury care. We aimed to identify clinical practice guideline (CPG) recommendations pertaining to low-value injury care, estimate how frequently they are used in practice, and evaluate interhospital variations in their use. MethodsWe identified low-value clinical practices from internationally recognized CPGs. We conducted a retrospective cohort study using data from a Canadian trauma system (2014-2019) to calculate frequencies and assess interhospital variations. ResultsWe identified 29 low-value practices. Fourteen could be measured using trauma registry data. The 3 low-value clinical practices with the highest absolute and relative frequencies were computed tomography (CT) in adults with minor head injury (n = 5591, 24%), cervical spine CT (n = 2742, 31%), and whole-body CT in minor or single-system trauma (n = 530, 32%). We observed high interhospital variation for decompressive craniectomy in diffuse traumatic brain injury. Frequencies and interhospital variations were low for magnetic resonance imaging, intracranial pressure monitoring, inferior vena cava filter use, and surgical management of blunt abdominal injuries. ConclusionsWe observed evidence of poor adherence to CPG recommendations on low-value CT imaging and high practice variation for decompressive craniectomy. Results suggest that adherence to recommendations for the 10 other low-value practices is high. These data can be used to advance the research agenda on low-value injury care and inform the development of interventions targeting reductions in healthcare overuse in this population.

Low‐value injury admissions in an integrated Canadian trauma system: A multicentre cohort study

Injury represents 260000 hospitalisations and $27 billion in healthcare costs each year in Canada. Evidence suggests that there is significant variation in the prevalence of hospital admissions among emergency department presentations between countries and providers, but we lack data specific to injury admissions. We aimed to estimate the prevalence of potentially low-value injury admissions following injury in a Canadian provincial trauma system, identify diagnostic groups contributing most to low-value admissions and assess inter-hospital variation. We conducted a retrospective multicentre cohort study based on all injury admissions in the Québec trauma system (2013-2018). Using literature and expert consultation, we developed criteria to identify potentially low-value injury admissions. We used a multilevel logistic regression model to evaluate inter-hospital variation in the prevalence of low-value injury admissions with intraclass correlation coefficients (ICC). We stratified our analyses by age (1-15; 16-64; 65-74; 75+ years). The prevalence of low-value injury admissions was 16% (n=19163) among all patients, 26% (2136) in children, 11% (4695) in young adults and 19% (12345) in older adults. Diagnostic groups contributing most to low-value admissions were mild traumatic brain injury in children (48% of low-value paediatric injury admissions; n=922), superficial injuries (14%, n=660) or minor spinal injuries (14%, n=634) in adults aged 16-64 and superficial injuries in adults aged 65+ (22%, n=2771). We observed strong inter-hospital variation in the prevalence of low-value injury admissions (ICC=37%). One out of six hospital admissions following injury may be of low value. Children with mild traumatic brain injury and adults with superficial injuries could be good targets for future research efforts seeking to reduce healthcare services overuse. Inter-hospital variation indicates there may be an opportunity to reduce low-value injury admissions with appropriate interventions targeting modifications in care processes.

Derivation and validation of actionable quality indicators targeting reductions in complications for injury admissions.

Approximately, one out of five patients hospitalized following injury will develop at least one hospital complication, more than three times that observed for general admissions. We currently lack actionable Quality Indicators (QI) targeting specific complications in this population. We aimed to derive and validate QI targeting hospital complications for injury admissions and develop algorithms to identify patient charts to review. We conducted a retrospective cohort study including patients with major trauma admitted to any level I or II adult trauma center an integrated Canadian trauma system (2014-2019). We used the trauma registry to develop five QI targeting deep vein thrombosis/pulmonary embolism (DVT/PE), decubitus ulcers, delirium, pneumonia and urinary tract infection (UTI). We developed algorithms to identify patient charts to revise on consultation with a group of clinical experts. The study population included 14,592 patients of whom 5.3% developed DVT or PE, 2.7% developed a decubitus ulcer, 8.6% developed delirium, 14.7% developed pneumonia and 7.3% developed UTI. The indicators demonstrated excellent predictive performance (Area Under the Curve 0.81-0.87). We identified 4 hospitals with a higher than average incidence of at least one of the targeted complications. The algorithms identified on average 50 and 20 charts to be reviewed per year for level I and II centers, respectively. In line with initiatives to improve the quality of trauma care, we propose QI targeting reductions in hospital complications for injury admissions and algorithms to generate case lists to facilitate the review of patient charts.

Development and Validation of a Hospital Indicator of Activity-Based Costs for Injury Admissions

ObjectivesTo develop a hospital indicator of resource use for injury admissions. MethodsWe focused on resource use for acute injury care and therefore adopted a hospital perspective. We included patients ≥16 years old with an Injury Severity Score >9 admitted to any of the 57 trauma centers of an inclusive Canadian trauma system from 2014 to 2018. We extracted data from the trauma registry and hospital financial reports and estimated resource use with activity-based costing. We developed risk-adjustment models by trauma center designation level (I/II and III/IV) for the whole sample, traumatic brain injuries, thoraco-abdominal injuries, orthopedic injuries, and patients ≥65 years old. Candidate variables were selected using bootstrap resampling. We performed benchmarking by comparing the adjusted mean cost in each center, obtained using shrinkage estimates, to the provincial mean. ResultsWe included 38 713 patients. The models explained between 12% and 36% (optimism-corrected r2) of the variation in resource use. In the whole sample and in all subgroups, we identified centers with higher- or lower-than-expected resource use across level I/II and III/IV centers. ConclusionsWe propose an algorithm to produce the indicator using data routinely collected in trauma registries to prompt targeted exploration of potential areas for improvement in resource use for injury admissions. The r2 of our models suggest that between 64% and 88% of the variation in resource use for injury care is dictated by factors other than patient baseline risk.

Impact of trauma centre accreditation on mortality and complications in a Canadian trauma system: an interrupted time series analysis

BackgroundPeriodic external accreditation visits aiming to determine whether trauma centres are fulfilling the criteria for optimal care are part of most trauma systems. However, despite the growing trend towards accreditation...

Interhospital Variations in Resource Use Intensity for In-hospital Injury Deaths: A Retrospective Multicenter Cohort Study.

Evaluate interhospital variation in resource use for in-hospital injury deaths. Significant variation in resource use for end-of-life care has been observed in the US for chronic diseases. However, there is an important knowledge gap on end-of-life resource use for trauma patients. We conducted a multicenter, retrospective cohort study of injury deaths following hospitalization in any of the 57 trauma centers in a Canadian trauma system (2013-2016). Resource use intensity was measured using activity-based costing (2016 $CAN) according to time of death (72 h, 3-14 d, ≥14 d). We used multilevel log-linear regression to model resource use and estimated interhospital variation using intraclass correlation coefficients (ICC). Our study population comprised 2044 injury deaths. Variation in resource use between hospitals was observed for all 3 time frames (ICC = 6.5%, 6.6%, and 5.9% for < 72 h, 3-14 d, and ≥14 d, respectively). Interhospital variation was stronger for allied health services (ICC = 18 to 26%), medical imaging (ICC = 4 to 10%), and the ICU (ICC = 5 to 6%) than other activity centers. We observed stronger interhospital variation for patients < 65 years of age (ICC = 11 to 34%) than those ≥65 (ICC = 5 to 6%) and for traumatic brain injury (ICC = 5 to 13%) than other injuries (ICC = 1 to 8%). We observed variation in resource use intensity for injury deaths across trauma centers. Strongest variation was observed for younger patients and those with traumatic brain injury. Results may reflect variation in level of care decisions and the incidence of withdrawal of life-sustaining therapies.

P103: Factors associated with non-optimal resource utilization of air ambulance for interfacility transfer of injured patients

Introduction: Timely access to definitive care has been associated with improved outcomes for injured patients. Air ambulance services have become an integral part of Canadian trauma systems to help provide earlier access to a lead trauma centre (LTC). Multiple factors can lead to non-optimal resource utilization resulting in potential transport delays. The goal of this study is to identify patient, institutional and paramedic risk factors for non-optimal resource utilization for interfacility transfers of injured adult patients transported by air ambulance to a LTC. Methods: Ornge is a paramedic-staffed organization that is the sole provider of air ambulance services from a non-trauma centre to a LTC for the province of Ontario, Canada. This is a retrospective cohort study of all Ornge adult emergent interfacility transports over a 5-year period. Data was collected on patient demographics and clinical status, sending facilities, transport details and paramedic qualifications. Optimal resource utilization was determined based on distance and historical times. A logistic regression model was used to explore patient, provider and institutional risk factors for non-optimal resource use. Results: Between January 1, 2013 and December 31, 2017 a total of 1777 injured patients underwent interfacility transport with Ornge. Of these 805 were identified as having non-optimal resource utilization. Patients who had an optimal resource use were found to be older and mechanically ventilated. Risk factors increasing odds of non-optimal transport included patients transported from a nursing station (OR 1.94), transport with primary or advanced care paramedics (OR 6.57 and 1.44, respectively) and transport between both 0800-1700 and 1700-0000 (OR 1.40 and 1.54, respectively). The median delay to arrival to receiving facility if a patient had a non-optimal resource use was 40 minutes Conclusion: We were able to identify several factors resulting in non-optimal resource utilization. We believe that nursing stations as a sending facility and type of paramedics crew transporting patients resulted in non-optimal resource utilization mainly due to these patients being of lower acuity and this affecting their triage. However the timing of day is more likely to be a resource availability issue and something that can be further studied and potentially improved.

Patient-level resource use for injury admissions in Canada: A multicentre retrospective cohort study

BackgroundVariations in adjusted costs have been observed among trauma centres in the United States but patient outcomes were not better in centres with higher costs. Attempts to improve injury care efficiency are hampered by insufficient patient-level information on resource use and on the drivers of resource use intensity. ObjectivesTo estimate patient-level resource use for injury admissions, identify determinants of resource use intensity, and evaluate inter-hospital variations in resource use. MethodsWe conducted a retrospective cohort study including ≥16-year-olds admitted to adult trauma centres in a mature, inclusive Canadian trauma system between 2014 and 2016. We extracted data from the trauma registry and hospital financial reports. We estimated resource use with activity-based costs, identified determinants of resource use intensity using a multilevel linear model and assessed the relative importance of each determinant with Cohen’s f2. We evaluated inter-provider variations with intraclass correlation coefficients (ICC) and 95% confidence intervals. ResultsWe included 32,411 patients. Median costs per admission were $4857 (Quartiles 1 and 3 2961–8448). The most important contributors to total resource use were the medical ward (57%), followed by the operating room (OR; 23%) and the intensive care unit (13%). The strongest determinant of resource use intensity was discharge destination (Cohen’s f2 = 7%). The most resource intense patient group was spinal cord injuries with $11,193 (7115–17,606) per admission. While resource use increased with increasing age for the medical ward, it decreased with increasing age for the OR. Resource use was 18% higher in level I centres compared to level IV centres and we observed significant variations in resource use across centres (ICC = 5% [4–6]), particularly for the OR (28% [20–40]). ConclusionsResource use for acute injury care in Quebec is not solely due to the clinical status of patients. We identified determinants of resource use that can be used to establish evidence-based resource allocations and improve injury care efficiency. The method we developed for estimating patient-level, in-hospital resource use for injury admissions and identifying related determinants could be reproduced using local trauma registry data and our unit costs or unit costs specific to each setting.

Trauma systems in North America.

North American trauma systems are well developed yet vary widely in form across the continent. Comparatively, the Canadian trauma system is more unified, and approximately 80% of Canadians live within 1 hour of a level I or II center. In the United States, trauma centers are specifically verified by the individual states and thus there tends to be more variability across the country. Although many states use the criteria developed by the American College of Surgeons Committee on Trauma, the individual agencies are free to utilize their own verification standards. Both Canada and the United States utilize efficient prehospital care, and both countries recognize that postdischarge care is a financial challenge to the system. Population dense areas offer rapid admission to well-developed trauma centers, but injured patients in remote areas may have challenges regarding access. Trauma centers are classified according to their capabilities from level I (highest ability) to level IV. Although each trauma system has opportunities for improvement, they both provide effective access and quality care to the vast majority of injured patients.

One size does not fit all for Canadian trauma systems.

One size does not fit all for Canadian trauma systems.

Complications following hospital admission for traumatic brain injury: A multicenter cohort study

PurposeTo evaluate the incidence, determinants and impact on outcome of in-hospital complications in adults with traumatic brain injury (TBI). Materials and methodsWe conducted a multicenter cohort study of TBI patients admitted between 2007 and 2012 in an inclusive Canadian trauma system. Risk ratios of complications, odds ratios of mortality and geometric mean ratios of length of stay (LOS) were calculated using generalized linear models with adjustment for prognostic indicators and hospital cluster effects. ResultsOf 12,887 patients, 3.2% had at least one neurological complication and 22.6% a non-neurological complication. Mechanical ventilation, head injury severity, blood transfusion and neurosurgical intervention had the strongest correlation with neurological complications. Mechanical ventilation, the Glasgow Coma Scale, blood transfusion and concomitant injuries had the strongest correlation with non-neurological complications. Neurological and non-neurological complications were associated with a 85% and 53% increase in the odds of mortality, and a 60% and two-fold increases in LOS, respectively. ConclusionsMore than 20% of patients with TBI developed a complication. Many of these complications were associated with increased mortality and LOS. Results highlight the importance of prevention strategies adapted to treatment decisions and underline the need to improve knowledge on the underuse and overuse of clinical interventions.

Mortality in Canadian Trauma Systems: A Multicenter Cohort Study.

To measure the variation in trauma center mortality across Canadian trauma systems, assess the contribution of traumatic brain injury and thoracoabdominal injury to observed variations, and evaluate whether the presence of recommended trauma system components is associated with mortality. Injuries represent one of the leading causes of mortality, disability, and health care costs worldwide. Trauma systems have improved injury outcomes, but the impact of trauma system configuration on mortality is unknown. We conducted a retrospective cohort study of adults admitted for major injury to trauma centers across Canada (2006-2012). Multilevel logistic regression was used to estimate risk-adjusted hospital mortality and assess the impact of 13 recommended trauma system components. Of 78,807 patients, 8382 (10.6%) died in hospital including 6516 (78%) after severe traumatic brain injury and 749 (9%) after severe thoracoabdominal injury. Risk-adjusted mortality varied from 7.0% to 14.2% across provinces (P < 0.0001); 11.1% to 26.0% for severe traumatic brain injury (P < 0.0001), and 4.7% to 5.9% for thoracoabdominal injury (P = 0.2). Mortality decreased with increasing number of recommended trauma system elements; adjusted odds ratio = 0.93 (0.87-0.99). We observed significant variation in trauma center mortality across Canadian provinces, specifically for severe traumatic brain injury. Provinces with more recommended trauma system components had better patient survival. Results suggest that trauma system configuration may be an important determinant of injury mortality. A better understanding of which system processes drive optimal outcomes is required to reduce the burden of injury worldwide.

Trends in Injury Outcomes Across Canadian Trauma Systems

ImportanceIn response to the burden of injury, the structure of injury care has changed considerably across Canada in the past decade. However, little is known about how patient outcomes have evolved.ObjectiveTo evaluate trends in mortality, hospital length of stay, and unplanned readmission in Canadian trauma systems between 2006 and 2012.Design, Setting, and ParticipantsA pan-Canadian retrospective cohort study was conducted among adults admitted for major injury to a Canadian level I or II trauma center between April 1, 2006, and March 31, 2012. Data analysis was conducted from April 15 to December 3, 2015.ExposuresTrauma centers and systems.Main Outcomes and MeasuresMultilevel generalized linear models were used to evaluate trends in the risk-adjusted incidence of mortality and readmission and risk-adjusted mean length of stay. Trend analyses were conducted globally and by province.ResultsAmong 78 807 patients (mean [SD] age, 50.7 [22.0] years; 22 540 women and 56 267 men) admitted for major injury during the study period, risk-adjusted mortality decreased from 12.1% (95% CI, 9%-16.1%) to 9.9% (95% CI, 7.4%-13.3%; P < .001) and mean length of hospital stay decreased from 11.6 (95% CI, 9.9-13.6) to 10.6 (95% CI, 9.1-12.5) days (P < .001). Statistically significant reductions in mortality were observed for Ontario (12% [95% CI, 10.7%-13.6%] to 8% [95% CI, 6.9%-9.2%]; P < .001), Alberta (12% [95% CI, 10%-14.3%] to 9.1% [95% CI, 7.7%-10.8%]; P = .02), and Manitoba (13% [95% CI, 9.1%-18.4%] to 11.1% [95% CI, 8.3%-14.7%]; P = .04). Risk-adjusted hospital stay decreased significantly in Québec (11.6 [95% CI, 11.1-12] to 9.1 [95% CI, 8.9-9.5] days; P < .001), British Columbia (12.5 [95% CI, 12-13.1] to 11.4 [10.9-11.9] days; P < .001), and Ontario (10.1 [95% CI, 9.8-10.4] to 9.8 [95% CI, 9.5-10.1] days; P < .001). No change in the incidence of readmission was observed.Conclusions and RelevanceWe observed an 18.2% relative decrease in risk-adjusted mortality in Canadian trauma centers during the study period, representing 248 additional lives saved in 2012 vs 2006. Risk-adjusted mean hospital stay decreased by 8.6%, representing nearly 10 000 hospital days saved. A better understanding of the structures and processes behind observed improvements is needed to further reduce the burden of injury in Canada.

Hospital length of stay following admission for traumatic brain injury in a Canadian integrated trauma system: A retrospective multicenter cohort study

BackgroundTraumatic brain injury (TBI) is the leading cause of disability in children and young adults and costs CAD$3 billion annually in Canada. Stakeholders have expressed the urgent need to obtain information on resource use for TBI to improve the quality and efficiency of acute care in this patient population. We aimed to assess the components and determinants of hospital and ICU LOS for TBI admissions. MethodsWe performed a retrospective multicenter cohort study on 11,199 adults admitted for TBI between 2007 and 2012 in an inclusive Canadian trauma system. Our primary outcome measure was index hospital LOS (admission to the hospital with the highest designation level). Index LOS was compared to total LOS (all consecutive admissions related to the injury). Expected LOS was calculated by matching TBI admissions to all-diagnosis hospital admissions by age, gender, and year of admission. LOS determinants were identified using multilevel linear regression. ResultsGeometric mean total LOS was 1day longer than geometric mean index LOS (12.6 versus 11.7 days). Observed index and ICU LOS were respectively 4.2days and 2.5days longer than that expected according to all-diagnosis admissions. The six most important determinants of LOS were discharge destination, severity of concomitant injuries, extracranial complications, GCS, TBI severity, and mechanical ventilation, accounting for 80% of explained variation. ConclusionsResults of this multicenter retrospective cohort study suggest that hospital and ICU LOS for TBI admissions are 56% and 119% longer than expected according to all-diagnosis admissions, respectively. In addition, hospital LOS is underestimated when only the index visit is considered and is largely influenced by discharge destination and extracranial complications, suggesting that improvements could be achieved with better discharge planning and interventions targeting prevention of in-hospital complications. This study highlights the importance of considering TBI patients as a distinct population when allocating resources or planning quality improvement interventions.

Impact of socio–economic status on unplanned readmission following injury: A multicenter cohort study

BackgroundUnplanned readmissions cost the US economy approximately $17 billion in 2009 with a 30-day incidence of 19.6%. Despite the recognised impact of socio–economic status (SES) on readmission in diagnostic populations such as cardiovascular patients, its impact in trauma patients is unclear. We examined the effect of SES on unplanned readmission following injury in a setting with universal health insurance. We also evaluated whether additional adjustment for SES influenced risk-adjusted readmission rates, used as a quality indicator (QI). Study designWe conducted a multicenter cohort study in an integrated Canadian trauma system involving 56 adult trauma centres using trauma registry and hospital discharge data collected between 2005 and 2010. The main outcome was unplanned 30-day readmission; all cause, due to complications of injury and due to subsequent injury. SES was determined using ecological indices of material and social deprivation. Odds ratios of readmission and 95% confidence intervals adjusted for covariates were generated using multivariable logistic regression with a correction for hospital clusters. We then compared a readmission QI validated previously (original QI) to a QI with additional adjustment for SES (SES-adjusted QI) using the mean absolute difference. ResultsThe cohort consisted of 52,122 trauma admissions of which 6.5% were rehospitalised within 30 days of discharge. Compared to patients in the lowest quintile of social deprivation, those in the highest quintile had a 20% increase in the odds of all-cause unplanned readmission (95% CI=1.06–1.36) and a 27% increase in the odds of readmission due to complications of injury (95% CI=1.04–1.54). No association was observed for material deprivation or for readmissions due to subsequent injuries. We observed a strong agreement between the original and SES-adjusted readmission (mean absolute difference= 0.04%). ConclusionsPatients admitted for traumatic injury who suffer from social deprivation have an increased risk of unplanned rehospitalisation due to complications of injury in the 30 days following discharge. Better discharge planning or follow up for such patients may improve patient outcome and resource use for trauma admissions. Despite observed associations, results suggest that the trauma QI based on unplanned readmission does not require additional adjustment for SES.

Evolution of patient outcomes over 14 years in a mature, inclusive Canadian trauma system.

The introduction of trauma systems in many countries worldwide has been shown to improve injury survival. However, few data are available on the long-term evolution of outcomes other than mortality. The objective of this study was to describe trends in mortality, unplanned readmission, complications, and length of stay in a mature inclusive trauma system from 1999 to 2012. This retrospective cohort study was based on the inclusive trauma system of Quebec, Canada. Data were drawn from the trauma registry linked to the hospital discharge database. Time trends were evaluated using generalized linear mixed models with a correction for hospital clusters and cohort effects. Between 1999 and 2012, risk-adjusted mortality decreased from 5.8 to 4.2% for all patients and from 14.9 to 13.1% for major trauma (p < 0.0001). Mean LOS decreased from 9.5 days to 8.0 days for all patients and from 15.5 days to 11.5 days for major trauma (p < 0.0001). Unplanned readmission and complication rates remained stable over the observation period at around 6.6 and 11.6% for all patients and 7.6 and 25.6% for major trauma, respectively. The results of this study suggest that there have been significant decreases in patient mortality and hospital length of stay in the inclusive trauma system of Québec over the last decade. Results also suggest that efforts should be made to reduce in-hospital complications and unplanned readmissions. Future research should attempt to identify determinants of observed decreases in mortality and LOS and assess whether similar improvements have occurred in functional outcomes.

Access to a Canadian provincial integrated trauma system: A population-based cohort study

BackgroundAccess to specialised trauma care is an important measure of trauma system efficiency. However, few data are available on access to integrated trauma systems. We aimed to describe access to trauma centres (TCs) in an integrated Canadian trauma system and identify its determinants. MethodsWe conducted a population-based cohort study including all injured adults admitted to acute care hospitals in the province of Québec between 2006 and 2011. Proportions of injured patients transported directly or transferred to TCs were assessed. Determinants of access were identified through a modified Poisson regression model and a relative importance analysis was used to determine the contribution of each independent variable to predicting access. ResultsOf the 135,653 injury admissions selected, 75% were treated within the trauma system. Among 25,522 patients with major injuries [International Classification of diseases Injury Severity Score (ICISS<0.85)], 90% had access to TCs. Access was higher for patients aged under 65, men and among patients living in more remote areas (p-value <0.001). The region of residence followed by injury mechanism, number of trauma diagnoses, injury severity and age were the most important determinants of access to trauma care. ConclusionsIn an integrated, mature trauma system, we observed high access to TCs. However, problems in access were observed for the elderly, women and in urban areas where there are many non-designated hospitals. Access to trauma care should be monitored as part of quality of care improvement activities and pre-hospital guidelines for trauma patients should be applied uniformly throughout the province.

Resource Use Intensity in a Mature, Integrated Canadian Trauma System: A Multicenter Cohort Study

Resource Use Intensity in a Mature, Integrated Canadian Trauma System: A Multicenter Cohort Study

Hospital Length of Stay After Admission for Traumatic Injury in Canada

To describe acute care length of stay (LOS) over all consecutive hospitalizations for the injury and according to level of care [intensive care unit (ICU), intermediate care, general ward], compare observed and expected LOS, and identify predictors of LOS. Prolonged LOS has important consequences in terms of costs and outcome, yet detailed information on LOS after trauma is lacking. This multicenter retrospective cohort study was based on adults discharged alive from a Canadian trauma system (1999-2010; n = 126,513). Registry data were used to calculate index LOS (LOS in trauma center with highest designation level) and were linked to hospital discharge data to calculate total LOS (all consecutive hospitalizations for the injury). Expected LOS was obtained by matching general provincial discharge statistics to study data by year, age, and sex. Potential predictors of LOS were evaluated using linear regression. Mean index and total LOS were 8.6 and 9.4 days, respectively. ICU, intermediate care unit, and general ward care constituted 8.9%, 2.5%, and 88.6% of total hospital days. Observed mean index and ICU LOS in our trauma patients were 2.9 and 1.3 days longer than expected LOS (P < 0.0001). The strongest determinants of index LOS were discharge destination, age, transfer status, and injury severity. Results suggest that acute care LOS after injury is underestimated when only information on the index hospitalization is used and that ICU or intermediate care constitute an important part of LOS. This information should be used to inform the development of an informative and actionable quality indicator.