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Understanding geographic variations in psychiatric inpatient admission rates: width of the variations and associations with the supply of health and social care in France

Overview of attention for article published in BMC Psychiatry, June 2018
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Title
Understanding geographic variations in psychiatric inpatient admission rates: width of the variations and associations with the supply of health and social care in France
Published in
BMC Psychiatry, June 2018
DOI 10.1186/s12888-018-1747-2
Pubmed ID
Authors

Coralie Gandré, Jeanne Gervaix, Julien Thillard, Jean-Marc Macé, Jean-Luc Roelandt, Karine Chevreul

Abstract

Inpatient 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. Our 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. Considerable 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. Our 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.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 17%
Student > Master 6 11%
Researcher 6 11%
Student > Ph. D. Student 4 7%
Student > Doctoral Student 3 6%
Other 5 9%
Unknown 21 39%
Readers by discipline Count As %
Medicine and Dentistry 8 15%
Social Sciences 6 11%
Nursing and Health Professions 5 9%
Unspecified 3 6%
Psychology 3 6%
Other 3 6%
Unknown 26 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 June 2018.
All research outputs
#14,416,163
of 23,088,369 outputs
Outputs from BMC Psychiatry
#3,129
of 4,768 outputs
Outputs of similar age
#186,702
of 329,782 outputs
Outputs of similar age from BMC Psychiatry
#110
of 128 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,768 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.