Qualité du codage des diagnostics et motifs de prise en charge (principal et associés) dans le recueil d’informations médicalisé en psychiatrie (RIM-P) en 2015 et 2016, France

Associations Between Psychiatric Diagnoses on Length of Stay and Mortality After Rib Fracture: A Retrospective Analysis

INTRODUCTION

Concurrent psychiatric diagnoses adversely impact outcomes in surgical patients, but their relationship to patients with rib fracture after trauma is less understood. We hypothesized that psychiatric comorbidity would be associated with increases in hospital length of stay (LOS) and mortality risk after rib fracture.

MATERIALS AND METHODS

The 2017 National Inpatient Sample was queried for adult patients who were admitted with rib fracture after trauma. Mental health disorders were categorized into 34 psychiatric diagnosis groups (PDGs) using clinical classifications software refined for International Classification of Diseases-10. Outcomes of interest were LOS and mortality. Bivariable analysis determined associations between PDGs, patient demographics, hospital characteristics, and outcomes. Logistic regression was performed to identify adjusted effects on mortality, and linear regression was performed to identify effects on LOS.

RESULTS

Of 32,801 patients, median age was 61 y (IQR 46-76), and median LOS was 5 d (IQR 3-9). No PDGs were associated with increased odds of mortality. Concurrent diagnosis of schizophrenia spectrum (Coeff. 3.5, 95% CI 2.7-4.4, P < 0.001) or trauma- or stressor-related (Coeff. 1.6, 95% CI 0.9-2.5, P < 0.001) disorders demonstrated the greatest association with prolonged LOS. Increased odds of death and prolonged hospital stay were also associated with male sex, non-White patient race, and surgery occurring at urban and public hospitals.

CONCLUSIONS

Psychiatric comorbidities are associated with death after rib fracture but are associated with increased LOS. These findings may help promote multidisciplinary patient management in trauma.

Population health management in France: specifying population groups through the DRG system

Background

Population health management (PHM) by hospital groups is not yet defined nor implemented in France. However, in 2019, the French Hospitals Federation launched a pilot program to experiment PHM in five territories around five Territorial Hospital Groups (GHT’s). In order to implement PHM, it is necessary to firstly define the population which healthcare facilities (hospitals) have responsibility for. In the French healthcare system, mapping of health territories however relies mainly on administrative data criteria which do not fit with the actual implementation of GHT’s. Mapping for the creation of territorial hospital groups (GHTs) also did not include medical criteria nor all healthcare offers particularly in private hospitals and primary care services, who are not legally part of GHT’s but are major healthcare providers. The objective of this study was to define the French population groups for PHM per hospital group.

Methods

A database study based on DRG (acute care, post-acute and rehabilitation, psychiatry and home care) from the French National Hospitals Database was conducted. Data included all hospital stays from 1 January 2016 to 31 December 2017. The main outcome of this study was to create mutually exclusive territories that would reflect an accurate national healthcare service consumption. A six-step method was implemented using automated analysis reviewed manually by national experts.

Results

In total, 2840 healthcare facilities, 5571 geographical zones and 31,441,506 hospital stays were identified and collated from the database. In total, 132 GHTs were included and there were 72 zones (1.3%) allocated to a different GHTs. Furthermore, 200 zones were manually reviewed with 33 zones allocated to another GHT. Only one area did not have a population superior to 50,000 inhabitants. Three were shown to have a population superior to 2 million.

Conclusions

Our study demonstrated a feasible methodology to define the French population under the responsibility of 132 hospital groups validated by a national group of experts.

Use of the French national health insurance information system for research in the field of mental health: Systematic review and perspectives

PURPOSE

This systematic review registered in PROSPERO (CRD42021225296) aimed to describe the use of the French national health insurance information system, which covers the entire French population (67 million inhabitants), for research in the field of mental health.

METHODS

Three electronic databases and a journal hand-search identified 15 265 articles from January 1, 2003 (year of creation of the database) to October 31, 2020. Studies of any design were eligible for inclusion provided that they (i) made use of at least one component of the French health insurance database and (ii) focused on a topic in near and far connection with the field of mental health in France. Database used, design and methods, study period, population, key findings, and type of use for medical research were described.

RESULTS

A total of 152 studies were included in the review analysis. There was an increase in the number of published articles over time throughout the studied period. Studies focusing on adults (n = 139) largely outnumbered those focusing on children and adolescents (n = 11). Pharmacoepidemiological studies were by far the most frequent (n = 123), followed by methodological studies (n = 23), epidemiological studies (n = 17), and health economics studies (n = 3). The most studied psychotropic drugs were antidepressants (n = 27), anxiolytics (n = 27), and opioids (n = 25) while fewer studies focused on methylphenidate (n = 6) and on mood stabilizers (n = 5). Few studies specifically focused on psychiatric disorders, mainly depression (n = 4), suicide (n = 4), and psychotic disorders (n = 3).

CONCLUSION

This systematic review highlighted a relatively poor exploitation of the Système national des données de santé database in the field of psychiatric research with regard to the great possibilities it offers, with a clear lag in certain fields such as epidemiological or health economics studies and in specific populations, in particular children and adolescents.