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Supplemental Digital Content is available in the text Objective: Evaluate interhospital variation in resource use for in-hospital injury deaths. Background: 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. Methods: 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). Results: 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%). Conclusions: 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. [ABSTRACT FROM AUTHOR]

Objective: To assess the variation in hospital and intensive care unit (ICU) length of stay (LOS) for injury admissions across Canadian provinces and to evaluate the relative contribution of patient case mix and treatment-related factors (intensity of care, complications, and discharge delays) to explaining observed variations. Background: Identifying unjustified interprovider variations in resource use and the determinants of such variations is an important step towards optimizing health care. Methods: We conducted a multicenter, retrospective cohort study on admissions for major trauma (injury severity score >12) to level I and II trauma centers across Canada (2006-2012). We used data from the Canadian National Trauma Registry linked to hospital discharge data to compare risk-adjusted hospital and ICU LOS across provinces. Results: Risk-adjusted hospital LOS was shortest in Ontario (10.0 days) and longest in Newfoundland and Labrador (16.1 days; P < 0.001). Risk-adjusted ICU LOS was shortest in Québec (4.4 days) and longest in Alberta (6.1 days; P < 0.001). Patient case-mix explained 32% and 8% of interhospital variations in hospital and ICU LOS, respectively, whereas treatment-related factors explained 63% and 22%. Conclusions: We observed significant variation in risk-adjusted hospital and ICU LOS across trauma systems in Canada. Provider ranks on hospital LOS were not related to those observed for ICU LOS. Treatment-related factors explained more interhospital variation in LOS than patient case-mix. Results suggest that interventions targeting reductions in low-value procedures, prevention of adverse events, and better discharge planning may be most effective for optimizing LOS for injury admissions. [ABSTRACT FROM AUTHOR]

Background Although recurrent anterior shoulder instability (RASI) is a common condition in young patients, no studies to date have measured the 3-dimensional (3D) locked position of the glenohumeral joint during an anterior dislocation. Therefore, our goal was to estimate it with 3D computed tomography (CT) scans. Methods Patients in this prospective observational study were separated in 3 groups: normal laxity, hyperlaxity, and epilepsy. They were characterized by questionnaires (Western Ontario Shoulder Instability Index, 11-item version of the Disabilities of the Arm, Shoulder and Hand, and Beighton Laxity Score), and a CT scan revealing bipolar bone defects. 3D models of the humeral head and the glenoid were reconstructed from the CT scan, and the rotations and displacements of the humerus relative to the glenoid, from initial to locked position, were calculated. Intraobserver and interobserver reliability by intraclass correlation coefficient (ICC), analysis of variance test, and the Pearson correlation were used to evaluate data. Results This study involved 44 patients (46 shoulders): 18 with “normal” laxity, 18 with hyperlaxity and 8 (2 bilateral) with epilepsy. The mean locked position was of 12° of abduction, 90° of external rotation, and 21° of extension. The intraobserver and interobserver reliability was excellent for all the rotations and displacements (ICCs, 0.751-0.977) except the proximal-distal displacement (ICCs, 0.409-0.688). Significant differences were found for external rotation, anterior displacement, and medial displacement among the 3 groups of patients. Correlation was found between locked position and function. Conclusions This study produced highly reliable measurements, with abduction angles proving to be lower than expected. Future work should focus on the effect of this low abduction angle on Hill-Sachs lesion management. [ABSTRACT FROM AUTHOR]

Objective: 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. Summary Background Data: 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. Methods: 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. Results: 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). Conclusions: 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. [ABSTRACT FROM AUTHOR]

Objective: Evaluate the predictive validity of complications derived using expert consensus methodology to monitor the quality of trauma care. Secondary objectives were to assess the predictive validity of complications not selected by consensus and identify determinants of complications. Background: A list of complications to monitor the quality of trauma care has recently been derived using Delphi consensus methodology. However, the predictive validity of consensus complications has not yet been demonstrated. Methods: We conducted a multicenter cohort study of adults admitted to the 57 adult trauma centers of a Canadian integrated trauma system (2007-2012; n=84,216). Multiple generalized linear models were used to assess the influence of complications on mortality and acute care length of stay (LOS) and to identify determinants of consensus complications. Results: The presence of at least 1 consensus complication was associated with a 2.7-fold [95% confidence interval (CI): 2.45-2.90] and 2.2-fold (95% CI: 2.11-2.19) increase in the odds of mortality and mean LOS, respectively. Nonselected complications were associated with no increase in mortality (odds ratio=0.90, 95% CI: 0.80-1.01) and a 60% increase in LOS (geometric mean ratio=1.60, 95% CI: 1.57-1.62). Patient-related factors and factors related to treatment explained 66% and 34% of the variation in complication rates, respectively. Conclusions: In addition to the face and content validity ensured by consensus methodology, this study suggests that consensus complications have good predictive validity. Monitoring these complications as part of quality improvement activities would provide an opportunity to improve outcome and resource use for injury admissions. [ABSTRACT FROM AUTHOR]

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