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Background: Most research on mortality in people with severe psychiatric disorders has focused on natural causes of death. Little is known about trauma-related mortality, although bipolar disorder and schizophrenia have been associated with increased risk of self-administered injury and road accidents., Aims: To determine if 30-day in-patient mortality from traumatic injury was increased in people with bipolar disorder and schizophrenia compared with those without psychiatric disorders., Method: A French national 2016 database of 144 058 hospital admissions for trauma was explored. Patients with bipolar disorder and schizophrenia were selected and matched with mentally healthy controls in a 1:3 ratio according to age, gender, social deprivation and region of residence. We collected the following data: sociodemographic characteristics, comorbidities, trauma severity characteristics and trauma circumstances. Study outcome was 30-day in-patient mortality., Results: The study included 1059 people with bipolar disorder, 1575 people with schizophrenia and their respective controls (n = 3177 and n = 4725). The 30-day mortality was 5.7% in bipolar disorder, 5.1% in schizophrenia and 3.3 and 3.8% in the controls, respectively. Only bipolar disorder was associated with increased mortality in univariate analyses. This association remained significant after adjustment for sociodemographic characteristics and comorbidities but not after adjustment for trauma severity. Self-administered injuries were associated with increased mortality independent of the presence of a psychiatric diagnosis., Conclusions: Patients with bipolar disorder are at higher risk of 30-day mortality, probably through increased trauma severity. A self-administered injury is predictive of a poor survival prognosis regardless of psychiatric diagnosis.

Introduction: In industrialised countries, trauma is a public health challenge. Despite disposing of a highly evolved and complex health care system, France does not dispose of a national trauma registry or trauma system. Little is known about the epidemiology of trauma in France. This study aims at describing, using the national billing database, the epidemiology of French trauma., Methods: A retrospective population-based cohort study has been conducted on trauma patients in France using the National Hospital Discharge Data Set Database for 2016. Patients were selected using the Trauma Audit and Research Network (TARN) criteria, inspired by the UK trauma system. Sociodemographic, clinical information and hospital characteristics were collected. The main outcome was 30-day mortality., Results: Among 1,144,596 patients hospitalised in French hospitals for trauma in 2016, 144,058 patients were included based on the TARN criteria. The mean age of the patients was 64 years (± 24). Women (50.8%) were over-represented among patients older than 75 years. The 30-day mortality was 5.9%, and regional variations were identified. In multivariate analysis, age, gender, area-level deprivation, injury localisation, co-morbidities, injury severity, transfusion, surgery, and ICU admission were independent factors of risk for 30-day mortality. Age and injury severity were the stronger predictors for mortality and area-level deprivation was associated with higher mortality., Conclusion: The national burden of trauma care was assessed with medico-administrative data in a country without a trauma system. The 30-day mortality associated with trauma in France was around 6%, with regional variations., (Copyright © 2019 Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. All rights reserved.)

Background: Efforts to improve the quality of end-of-life (EOL) care depend on better knowledge of the care that children, adolescents, and young adults with cancer receive, including high-intensity EOL (HI-EOL) care. The objective was to assess the rates of HI-EOL care in this population and to determine patient- and hospital-related predictors of HI-EOL from the French national hospital database., Methods: This was a population-based, retrospective study of a cohort of patients aged 0 to 25 years at the time of death who died at hospital as a result of cancer in France between 2014 and 2016. The primary outcome was HI-EOL care, defined as the occurrence of ≥1 chemotherapy session <14 days from death, receiving care in an intensive care unit ≥1 time, >1 emergency room admission, and >1 hospitalization in an acute care unit in the last 30 days of life., Results: The study included 1899 individuals from 345 hospitals; 61.4% experienced HI-EOL care. HI-EOL was increased with social disadvantage (adjusted odds ratio [AOR], 1.30; 95% confidence interval [CI], 1.03-1.65; P = .028), hematological malignancies (AOR, 2.09; 95% CI, 1.57-2.77; P < .001), complex chronic conditions (AOR, 1.60; 95% CI, 1.23-2.09; P = .001) and care delivered in a specialty center (AOR, 1.70; 95% CI, 1.22-2.36; P = .001). HI-EOL was reduced in cases of palliative care (AOR, 0.31; 95% CI, 0.24-0.41; P < .001)., Conclusion: A majority of children, adolescents, and young adults experience HI-EOL care. Several features (eg, social disadvantage, cancer diagnosis, complex chronic conditions, and specialty center care) were associated with HI-EOL care. These findings should now be discussed with patients, families, and professionals to define the optimal EOL., (© 2019 American Cancer Society.)

Purpose: In pharmacoepidemiology, one of the main concerns is analysis of drug exposure time. However, in real-life settings, patient's behavior is complex and characterized by drug exposure dynamics. Multi-state models allow assessing the probabilities of various patterns, instead of just continuous use and/or discontinuation. The aim of this study was to illustrate with methadone, the use of multi-state model (MSM) in a large claims database., Methods: This study is based on the French health insurance reimbursement database. Methadone exposure is defined using four states for each period of follow-up: syrup only, capsule only, syrup-capsule and no dispensing. The model considered 12 possible transitions (including reverse transitions) from one state to another. To describe these transitions a time-homogeneous Markov model was used., Results: A total of 1265 methadone users were included. When patients belonged to the syrup-capsule state, they had a 61.8% chance of moving to capsules the following month and 20.9% of moving to syrup. The probability of moving from the syrup to the non-user state was 13.6% (11.7% from capsule state to non-user state). The average length of stay was 5.9 months (CI95%: [5.5-6.4]) in capsule state, 4.9 (CI95%: [4.6-5.2]) in syrup state and 5.9 (CI95%: [5.5-6.3]) in non user state., Conclusion: MSM provided a good description of methadone patterns of use. It outlined behaviors which have led to a rapid spread of capsule formulation among methadone users. Therefore, it illustrates the utility of MSM for modeling multiple sequences of drug use in a large claims database., (Copyright © 2015 John Wiley & Sons, Ltd.)

Doctor-shopping is a patient behaviour characterized by simultaneous consultations of several physicians during the same period. Some case reports have described an abuse of tianeptine, an atypical antidepressant. Our objective was to assess the extent of abuse of this drug with a method quantifying doctor-shopping in comparison with other antidepressants and benzodiazepines (BZD). All dispensations of antidepressants and BZD during the year 2005 in a French area of 4.5 million inhabitants were extracted from a reimbursement database. For each patient, two quantities were computed: quantity dispensed and obtained by doctor-shopping. Tianeptine and other drugs were compared using their doctor-shopping indicator (DSI), defined as the percentage of drug obtained by doctor-shopping among dispensed quantity; 410 525 patients received at least one antidepressant dispensation during the year 2005. Tianeptine was the sixth most dispensed antidepressant. The DSI of tianeptine was 2.0%, ranking it first among antidepressant (the second being mianserine with a DSI of 1%). Flunitrazepam has the highest DSI (30.2%), the DSI of the five following BZD (clonazepam, zolpidem, oxazepam, diazepam, bromazepam) range from 3.0% to 2.0%. Tianeptine is associated with higher DSI, compared with other antidepressants, suggesting that it may be subject to abuse in the population. Moreover, its DSI as a measure of diversion is similar to the DSI of diazepam or bromazepam., (© 2011 The Authors Fundamental and Clinical Pharmacology © 2011 Société Française de Pharmacologie et de Thérapeutique.)

Fourteen benzodiazepine (BZD) or BZD-like medications were analyzed with three data sources aiming to assess prescription drug abuse for the year 2008. After a descriptive analysis, a principal component analysis was carried out to explore correlations between seven indicators obtained by different methods using these three different data sources and to compute a composite score of diversion for these drugs. For all the indicators, flunitrazepam appears first with much higher values than the other drugs, whereas clonazepam appears in the second or third place. These methods produce globally correlated indicators and the composite score obtained from principal component analysis ranks the drugs with the highest diversion as follows: flunitrazepam, clonazepam, oxazepam, diazepam, and bromazepam. This study shows that these methods yield consistent results. Their integration into a single multi-indicator approach gives health authorities a global view of different behaviors regarding diversion of a given drug.