Abstract

BackgroundInpatient care accounts for the majority of mental health care costs and is not always beneficial. It can indeed have detrimental consequences if not used appropriately, and is unpopular among patients. As a consequence, its reduction is supported by international recommendations. Varying rates of psychiatric inpatient admissions therefore deserve to draw attention of researchers, clinicians and policy makers alike as such variations can challenge quality, equity and efficiency of care. In this context, our objectives were first to describe variations in psychiatric inpatient admission rates across the whole territory of mainland France, and second to identify their association with characteristics of the supply of care, which can be targeted by dedicated health policies.MethodsOur study was carried out in French psychiatric sectors’ catchment areas for the year 2012. Inpatient admission rates per 100,000 adult inhabitants were calculated using data from the national psychiatric discharge database. Their variations were described numerically and graphically. We then carried out a negative binomial regression to identify characteristics of the supply of care (public and private care, health and social care, hospital and community-based care, specialised and non-specialised care) which were associated with these variations while adjusting our analysis for other relevant factors, in particular epidemiological differences.ResultsConsiderable variations in inpatient admission rates were observed between psychiatric sectors’ catchment areas and were widespread on the French territory. Institutional characteristics of the hospital to which each sector was linked (private non-profit status, specialisation in psychiatry and participation to teaching activities and to emergency care) were associated with inpatient admission rates. Similarly, an increase in the availability of community-based private psychiatrists was associated with a decrease in the inpatient admission rate while an increase in the capacity of housing institutions for disabled individuals was associated with an increase in this rate.ConclusionsOur results advocate for a homogenous repartition of health and social care for mental disorders in lines with the health needs of the population served. This should apply particularly to community-based private psychiatrists, whose heterogeneity of repartition has often been underscored.

Highlights

  • Inpatient care accounts for the majority of mental health care costs and is not always beneficial

  • Its reduction is supported by international recommendations for mental health care [14,15,16] and would contribute to limit the economic burden associated with psychiatric disorders [17]

  • Setting The data of 531 adult psychiatric sectors, accounting for 66.1% of all adult psychiatric sectors reported in the Recueil d’informations médicalisé en psychiatrie (RIM-P) database of the year 2012 for mainland France, were included in the analysis based on the availability of exhaustive inpatient admissions data in the hospital to which they were linked

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Summary

Introduction

Inpatient care accounts for the majority of mental health care costs and is not always beneficial. Its reduction is supported by international recommendations for mental health care [14,15,16] and would contribute to limit the economic burden associated with psychiatric disorders [17] Given those elements, varying geographic rates of psychiatric inpatient admissions deserve to draw attention of researchers, clinicians and policy makers alike as such variations can challenge quality, equity and efficiency of care. While direct characteristics of population health needs, related to their health status, and socio-economic factors were shown to be associated with psychiatric inpatient admission rates [12, 23, 25,26,27], research aimed at understanding the other factors associated with their variation remains scarce This is in particular the case for the characteristics of the supply of care which have only been included by a limited number of studies that focused only on specific care providers due to the lack of availability of complete data sources [23,24,25, 28]

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