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Quality improvement activities in trauma systems are widely based on comparisons between trauma centers within the same system. Comparisons across different trauma systems may reveal further opportunities for quality improvement.This study aimed to compare the integrated trauma systems in Québec, Canada and in Victoria, Australia, regarding their structures, care processes and patient outcomes.The elements recommended by the American College of Surgeons were used to compare trauma systems structures. Comparisons of care processes and patient outcomes were based on data from major trauma admissions extracted from trauma registries (2013 and 2017). Care processes included time to reach a definitive care facility, time spent in the emergency department, and time lapsed before the first head computed tomography (CT) scan. These care processes were compared using a z-test of log-transformed times. Hospital mortality and hospital length of stay (LOS) were compared using indirect standardization based on multiple logistic and linear regression.Major differences in trauma system structure were Advanced Trauma Life Support at the scene of injury (Victoria), the use of validated prehospital triage tools (Québec), and mandatory accreditation of all trauma centers (Québec). Patients in Québec arrived at their definitive care hospital earlier than their counterparts in Victoria (median: 1.93 vs. 2.13 h, p = 0.002), but spent longer in the emergency department (median: 8.23 vs. 5.15 h, p0.0001) and waited longer before having their first head CT (median: 1.90 vs. 1.52 h, p0.0001). In-hospital mortality and hospital LOS were higher in Québec than in Victoria (standardized mortality ratio: 1.15, 95% CI: 1.09 - 1.20; standardized LOS ratio: 1.10, 95% CI: 1.09 - 1.11).We observed important differences in the structural components and care processes in Québec and Victoria's trauma systems, which might explain some of the observed differences in patient outcomes. This study shows the potential value of international comparisons in trauma care and identifies possible opportunities for quality improvement.

Background Diabetes is a highly prevalent chronic disease that places a large burden on individuals and health care systems. Models predicting the risk (also called predictive models) of other conditions often compare people with and without diabetes, which is of little to no relevance for people already living with diabetes (called patients). This review aims to identify and synthesize findings from existing predictive models of physical and mental health diabetes-related conditions. Methods We will use the scoping review frameworks developed by the Joanna Briggs Institute and Levac and colleagues. We will perform a comprehensive search for studies from Ovid MEDLINE and Embase databases. Studies involving patients with prediabetes and all types of diabetes will be considered, regardless of age and gender. We will limit the search to studies published between 2000 and 2018. There will be no restriction of studies based on country or publication language. Abstracts, full-text screening, and data extraction will be done independently by two individuals. Data abstraction will be conducted using a standard methodology. We will undertake a narrative synthesis of findings while considering the quality of the selected models according to validated and well-recognized tools and reporting standards. Discussion Predictive models are increasingly being recommended for risk assessment in treatment decision-making and clinical guidelines. This scoping review will provide an overview of existing predictive models of diabetes complications and how to apply them. By presenting people at higher risk of specific complications, this overview may help to enhance shared decision-making and preventive strategies concerning diabetes complications. Our anticipated limitation is potentially missing models because we will not search grey literature.

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.

The peel’s essential oil of the Tunisian Citrus sinensis (L.) Osbeck var ‘Maltaise demi sanguine’ cultivated in six regions and three bioclimatic stages was analyzed by gas chromatography. Essentia...

Traumatic brain injuries (TBI) are the leading cause of death for people aged40 years. In Canada, the structure of trauma care has evolved independently across provinces during the last decade. However, little is known about the evolution of clinical outcomes. We aimed to compare trends in hospital mortality, unplanned readmission, hospital length of stay (LOS) and intensive care unit (ICU) LOS for TBI between 2006 and 2012 across Canadian provinces.We conducted a retrospective multicentre cohort study based on TBI admissions across Canadian level I and II trauma centres. Data were extracted from the National Trauma Registry linked to hospital discharge databases. All adults with an injury severity score ≥12 were included. Multilevel generalized linear models were used to evaluate trends in clinical outcomes.Between 2006 and 2012, we observed a decrease in mortality in Canada (odd ratio [OR] = 0.95; 95% confidence intervals [CI] = 0.92-0.98) mostly driven by Ontario (OR = 0.95; 95% CI = 0.93-0.98). We observed a significant decrease in hospital length of stay in Canada (hazard ratio [HR]: hazard of being discharged alive from hospital = 1.02; 95% CI = 1.01-1.02) mostly driven by a decrease in Quebec (HR = 1.03; 95% CI = 1.01-1.04). We observed a decrease in ICU Length of stay only in Alberta (HR = 1.05; 95% CI = 1.01-1.09). No trend was observed for hospital readmissions.We observed significant decreases in mortality, hospital and ICU length of stay for TBI in Canada between 2006 and 2012 but only in certain provinces. This study may represent the first step towards a better understanding of the influence of trauma system configuration on the burden of injuries in Canada.

BackgroundDiabetes often places a large burden on people with diabetes (hereafter ‘patients’) and the society, that is, in part attributable to its complications. However, evidence from models predicting diabetes complications in patients remains unclear. With the collaboration of patient partners, we aimed to describe existing prediction models of physical and mental health complications of diabetes.MethodsBuilding on existing frameworks, we systematically searched for studies in Ovid-Medline and Embase. We included studies describing prognostic prediction models that used data from patients with pre-diabetes or any type of diabetes, published between 2000 and 2020. Independent reviewers screened articles, extracted data and narratively synthesised findings using established reporting standards.ResultsOverall, 78 studies reported 260 risk prediction models of cardiovascular complications (n=42 studies), mortality (n=16), kidney complications (n=14), eye complications (n=10), hypoglycaemia (n=8), nerve complications (n=3), cancer (n=2), fracture (n=2) and dementia (n=1). Prevalent complications deemed important by patients such as amputation and mental health were poorly or not at all represented. Studies primarily analysed data from older people with type 2 diabetes (n=54), with little focus on pre-diabetes (n=0), type 1 diabetes (n=8), younger (n=1) and racialised people (n=10). Per complication, predictors vary substantially between models. Studies with details of calibration and discrimination mostly exhibited good model performance.ConclusionThis rigorous knowledge synthesis provides evidence of gaps in the landscape of diabetes complication prediction models. Future studies should address unmet needs for analyses of complications n> and among patient groups currently under-represented in the literature and should consistently report relevant statistics.Scoping review registrationhttps://osf.io/fjubt/

Background Injuries represent one of the leading causes of preventable morbidity and mortality. For countries with ageing populations, admissions of injured older patients are increasing exponentially. Yet, we know little about hospital resource use for injured older patients. Our primary objective was to evaluate inter-hospital variation in the risk-adjusted resource use for injured older patients. Secondary objectives were to identify the determinants of resource use and evaluate its association with clinical outcomes. Methods We conducted a multicenter retrospective cohort study of injured older patients (≥65 years) admitted to any trauma centres in the province of Quebec (2013–2016, N = 33,184). Resource use was estimated using activity-based costing and modelled with multilevel linear models. We conducted separate subgroup analyses for patients with trauma and fragility fractures. Results Risk-adjusted resource use varied significantly across trauma centres, more for older patients with fragility fractures (intra-class correlation coefficients [ICC] = 0.093, 95% CI [0.079, 0.102]) than with trauma (ICC = 0.047, 95% CI = 0.035–0.051). Risk-adjusted resource use increased with age, and the number of comorbidities, and varied with discharge destination (P Conclusions We observed significant inter-hospital variations in resource use for injured older patients. Hospitals with higher resource use did not have better clinical outcomes. Hospital resource use may not always positively impact patient care and outcomes. Future studies should evaluate mechanisms, by which hospital resource use impacts care.

BACKGROUND: Tests and treatments that are not supported by evidence and could expose patients to unnecessary harm, referred to here as low-value clinical practices, consume up to 30% of healthcare resources. Choosing Wisely and other organisations have published lists of clinical practices to be avoided. However, few apply to injury and most are based uniquely on expert consensus. We aimed to identify low-value clinical practices in acute injury care. METHODS: We conducted a scoping review targeting articles, reviews and guidelines that identified low-value clinical practices specific to injury populations. Thirty-six experts rated clinical practices on a 5-point Likert scale from clearly low-value to clearly beneficial. Clinical practices reported as low-value by at least one level I, II or III study and considered clearly or potentially low-value by at least 75% of experts were retained as candidates for low-value injury care. RESULTS: Of 50,695 citations, 815 studies were included and led to the identification of 150 clinical practices. Of these 63 were considered candidates for low-value injury care; 33 in the emergency room, 9 in trauma surgery, 15 in the intensive care unit and 5 in orthopaedics. We also identified 87 'grey zone' practices, which did not meet our criteria for low-value care. CONCLUSIONS: We identified 63 low-value clinical practices in acute injury care that are supported by empirical evidence and expert opinion. Conditional on future research, they represent potential targets for guidelines, overuse metrics and de-implementation interventions. We also identified 87 'grey zone' practices, which may be interesting targets for value-based decision-making. Our study represents an important step towards the de-implementation of low-value clinical practices in injury care. LEVEL OF EVIDENCE: III.

The knowledge gap regarding acute care resource use for patients with traumatic brain injury (TBI) impedes efforts to improve the efficiency and quality of the care of these patients. Our objective was to evaluate interhospital variation in resource use for patients with TBI, identify determinants of high resource use and assess the association between hospital resource use and clinical outcomes.We conducted a multicentre retrospective cohort study including patients aged 16 years and older admitted to the inclusive trauma system of Quebec following TBI, between 2013 and 2016. We estimated resource use using activity-based costs. Clinical outcomes included mortality, complications and unplanned hospital readmission. Interhospital variation was evaluated using intraclass correlation coefficients (ICCs) with 95% confidence intervals (CIs). Correlations between hospital resource use and clinical outcomes were evaluated using correlation coefficients on weighted, risk-adjusted estimates with 95% CIs.We included 6319 patients. We observed significant interhospital variation in resource use for patients discharged alive, which was not explained by patient case mix (ICC 0.052, 95% CI 0.043 to 0.061). Adjusted mean resource use for patients discharged to long-term care was more than twice that of patients discharged home. Hospitals with higher resource use tended to have a lower incidence of mortality (Resource use for TBI varies significantly among hospitals and may be associated with differences in mortality and morbidity. Negative associations with mortality and positive associations with complications should be interpreted with caution but suggest there may be a trade-off between adverse events and survival that should be evaluated further.

Description of prognostic prediction models of diabetes-related complications published between 2000 and April 2020

Background Measuring shared decision making (SDM) in clinical practice is important to improve the quality of health care. Measurement can be done by trained observers and by people participating in the clinical encounter, namely, patients. This study aimed to describe the correlations between patients’ and observers’ ratings of SDM using 2 validated and 2 nonvalidated SDM measures in clinical consultations. Methods In this cross-sectional study, we recruited 238 complete dyads of health professionals and patients in 5 university-affiliated family medicine clinics in Canada. Participants completed self-administered questionnaires before and after audio-recorded medical consultations. Observers rated the occurrence of SDM during medical consultations using both the validated OPTION-5 (the 5-item “observing patient involvement” score) and binary questions on risk communication and values clarification (RCVC-observer). Patients rated SDM using both the 9-item Shared Decision-Making Questionnaire (SDM-Q9) and binary questions on risk communication and values clarification (RCVC-patient). Results Agreement was low between observers’ and patients’ ratings of SDM using validated OPTION-5 and SDM-Q9, respectively (ρ = 0.07; P = 0.38). Observers’ ratings using RCVC-observer were correlated to patients’ ratings using either SDM-Q9 ( rpb = −0.16; P = 0.01) or RCVC-patients ( rpb = 0.24; P = 0.03). Observers’ OPTION-5 scores and patients’ ratings using RCVC-questions were moderately correlated ( rφ = 0.33; P = 0.04). Conclusion There was moderate to no alignment between observers’ and patients’ ratings of SDM using both validated and nonvalidated measures. This lack of strong correlation emphasizes that observer and patient perspectives are not interchangeable. When assessing the presence, absence, or extent of SDM, it is important to clearly state whose perspectives are reflected.

BACKGROUND Guidelines for injury care are increasingly moving away from surgical management towards less invasive procedures but there is a knowledge gap on how these recommendations are influencing practice. We aimed to assess inter-hospital variation in surgical intensity for injury admissions and evaluate the correlation between hospital surgical intensity and mortality/complications. METHODS We included adults admitted for major trauma between 2006 and 2016 in a Canadian provincial trauma system. Analyses were stratified for orthopaedic (n = 16 887), neurological (n = 12 888) and torso injuries (n = 9816). Surgical intensity was quantified with the number of surgical procedures

IntroductionUnderuse of high-value clinical practices and overuse of low-value practices are major sources of inefficiencies in modern healthcare systems. Injuries are second only to cardiovascular disease in terms of acute care costs but data on the economic impact of clinical practices for injury admissions are lacking. This study aims to summarise evidence on the economic value of intrahospital clinical practices for injury care.Methods and analysisWe will perform a systematic review to identify research articles in economic evaluation of intrahospital clinical practices in acute injury care. We will search MEDLINE and databases such as Embase, Web of Science, NHS Economic Evaluation Database, Cochrane CENTRAL, BIOSIS and CINAHL for randomised or non-randomised controlled trials and observational studies using a combination of keywords and controlled vocabulary. We will consider the following outcomes relative to economic evaluations: incremental cost-effectiveness ratio, incremental cost-utility ratio, incremental net health benefit, incremental net monetary benefit (iNMB) and incremental cost-benefit ratio. Pairs of independent reviewers will evaluate studies that meet eligibility criteria and extract data from included articles using an electronic data extraction form. All outcomes will be converted into iNMB. We will report iNMB for practices classified by type of practice (hospitalisation, consultation, diagnostic, therapeutic-surgical, therapeutic-drugs, therapeutic-other). Results obtained with a ceiling ratio of $50 000 per quality-adjusted life year gained for identified clinical practices will be summarised by charting forest plots. In line with Cochrane recommendations for systematic reviews of economic evaluations, meta-analyses will not be conducted.Ethics and disseminationEthics approval is not required as original data will not be collected. This study will summarise existing evidence on the economic value of clinical practices in injury care. Results will be used to advance knowledge on value-based care for injury admissions and will be disseminated through a peer-reviewed article, international scientific meetings and clinical and healthcare quality associations.

Tobacco use, of which cigarette smoking is the most common, is a global health concern and is directly linked to over 7 million premature deaths annually. Measurement of the levels of tobacco-related biomarkers in biological matrices reflects human exposure to the chemicals in tobacco products. Nicotine, nicotine metabolites, anatabine, and anabasine are specific to tobacco and nicotine containing products. However, as nicotine and its metabolites are ubiquitous in the environment, background contamination during sample preparation can occur, making the quantification of target analytes challenging. The main purpose of the present study was to examine quality control measures needed in the determination of urinary nicotine, nicotine metabolites, anatabine, and anabasine. Urine samples (n = 75) and NIST standard reference materials SRM 3671 and SRM 3672 were analysed. A one-step extraction procedure using cold acetone was used in this study, which involved no additional clean up. The blank matrices investigated included synthetic urine prepared with HPLC-grade water, synthetic urine prepared with Milli-Q water, and bovine urine. By adopting strategies for minimizing the background levels, very low detection limits for all the target analytes ranging from 0.025 ng/mL for 3-hydroxycotinine to 0.634 ng/mL for nicotine, were achieved. Recoveries ranged between 67% and 118% with RSD values below 20%. Intra-day and inter-day precisions were in the range of 1.1–11.7% and 4.8–25.2%, respectively. The levels of all target analytes were higher in daily smokers than in non-smokers, with the largest difference observed for 3-hydroxycotinine. No difference was observed in the levels of target analytes between individuals who were former smokers, who never smoked or who were exposed to environmental tobacco smoke (ETS), except for total nicotine equivalents (TNE), which was significantly higher in non-smokers exposed to environmental tobacco smoke compared with study participants who never smoked. The results obtained from SRM 3671 and SRM 3672 could inform a potential certification of additional biomarkers of exposure to tobacco products in those standard reference materials.

IntroductionOrthopaedic injuries affect almost 90% of trauma patients. A previous scoping review and expert consultation survey identified 15 potential low-value intra-hospital practices in the adult orthopaedic trauma population. Limiting the frequency of such practices could reduce adverse events, improve clinical outcomes and free up resources. The aim of this study is to synthesise the evidence on intra-hospital practices for orthopaedic injuries, previously identified as potentially of low value.Methods and analysisWe will search Medline, Excerpta Medica Database (EMBASE), the Cochrane Central Register of Controlled Trials and Epistemonikos to identify systematic reviews, randomised controlled trials (RCTs), quasi-RCTs, cohort studies and case–control studies that evaluate selected practices according to a priori PICOS statements (Population–Intervention–Comparator–Outcome–Study design) . We will evaluate the methodological quality for systematic reviews using the Measurement Tool to Assess Systematic Reviews version 2 (AMSTAR-2). Risk of bias in original studies will be evaluated with the Cochrane revised tool for RCTs (RoB2) and with the risk of bias in non-randomised studies of interventions (ROBINS-I) tool. If for a given practice, more than two original studies on our primary outcome are identified, we will conduct meta-analysis using a random effects model and assess heterogeneity using the I2index. We will assess credibility of evidence (I–IV) based on statistical significance, sample size, heterogeneity and bias as per published criteria.Ethics and disseminationEthics approval is not required as original data will not be collected. Knowledge users from three level I trauma centres are involved in the design and conduct of the study in accordance with an integrated knowledge translation approach. Findings related to the rapid review will be available in May 2020. They will be presented to key stakeholders to inform discussions and raise awareness on low-value injury care. In addition, results will be disseminated in a peer-reviewed journal, at national and international scientific meetings and to healthcare associations.

Supplemental material, sj-docx-2-mdm-10.1177_0272989X20977885 for Observer Ratings of Shared Decision Making Do Not Match Patient Reports: An Observational Study in 5 Family Medicine Practices by Gisèle Diendéré, Imen Farhat, Holly Witteman and Ruth Ndjaboue in Medical Decision Making

Supplemental material, sj-docx-3-mdm-10.1177_0272989X20977885 for Observer Ratings of Shared Decision Making Do Not Match Patient Reports: An Observational Study in 5 Family Medicine Practices by Gisèle Diendéré, Imen Farhat, Holly Witteman and Ruth Ndjaboue in Medical Decision Making

Supplemental material, sj-docx-1-mdm-10.1177_0272989X20977885 for Observer Ratings of Shared Decision Making Do Not Match Patient Reports: An Observational Study in 5 Family Medicine Practices by Gisèle Diendéré, Imen Farhat, Holly Witteman and Ruth Ndjaboue in Medical Decision Making

IntroductionTraumatic brain injury (TBI) leads to 50 000 deaths, 85 000 disabilities and costs $60 billion each year in the USA. Despite numerous interventions and treatment options, the outcomes of TBI have improved little over the last three decades. In a previous scoping review and expert consultation survey, we identified 13 potentially low-value clinical practices in acute TBI. The objective of this umbrella review is to synthesise the evidence on potentially low-value clinical practices in the care of acute TBI.Methods and analysisUsing umbrella review methodology, we will search Cochrane Central Register of Controlled Trials, Embase, Epistemonikos, International Prospective Register of Systematic Reviews (PROSPERO) and PubMed to identify systematic reviews evaluating the effect of potential intrahospital low-value practices using tailored population, intervention, comparator, outcome and study design questions based on the results of a previous scoping review. We will present data on the methodological quality of these reviews (Assessing the Methodological Quality of Systematic Reviews-2), reported effect sizes and strength of evidence (Grading of Recommendations, Assessment, Development and Evaluation).Ethics and disseminationEthics approval is not required as original data will not be collected. Knowledge users from five healthcare quality organisations and clinical associations are involved in the design and conduct of the study. Results will be disseminated in a peer-reviewed journal, at international scientific meetings and to clinical, healthcare quality and patient–partner associations. This work will support the development of metrics to measure the use of low-value practices, inform policy makers on potential targets for deimplementation and in the long term reduce the use of low-value clinical practices in acute TBI care.PROSPERO registration numberCRD42019132428.

Additional file 1. PRISMA-P 2015 checklist.

Additional file 1. PRISMA-P 2015 checklist.