Evidence map›Paper›PMID 39190053›Full record

ArticleSocial psychiatry and psychiatric epidemiology2025

Area-level factors associated with variation in involuntary psychiatric hospitalisation across England: a cross-sectional, ecological study.

Matilda Minchin, Colette Christiansen, Lucy Maconick, Sonia Johnson

Abstract read
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Article in Social psychiatry and psychiatric epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Matilda MinchinDivision of Psychiatry, University College London, Maple House, 149 Tottenham Court Road, London, W1T 7BN, UK.ORCID https://orcid.org/0000-0002-4469-170X
Colette ChristiansenThe Open University, Walton Hall, Milton Keynes, MK7 6AA, UK.ORCID https://orcid.org/0000-0001-6034-5746
Lucy MaconickDivision of Psychiatry, University College London, Maple House, 149 Tottenham Court Road, London, W1T 7BN, UK. l.maconick@ucl.ac.uk.ORCID https://orcid.org/0000-0002-0174-367X
Sonia JohnsonDivision of Psychiatry, University College London, Maple House, 149 Tottenham Court Road, London, W1T 7BN, UK.ORCID https://orcid.org/0000-0002-2219-1384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeInvoluntary hospitalisations for mental health care are rising in many high income countries, including England. Looking at variation between areas can help us understand why rates are rising and how this might be reversed. This cross-sectional, ecological study aimed to better understand variation in involuntary hospitalisations across England.

methodThe unit of analysis was Clinical Commissioning Groups (CCGs), NHS bodies responsible for delivering healthcare to local areas in England. 205 CCGs were included in the analysis. Demographic, clinical, and socioeconomic variables at CCG-level were extracted from national, open access data bases. The outcome variable was the rate of involuntary hospitalisation for psychiatric care under the 1983 Mental Health Act in 2021/22.

resultsThere was a four-fold difference between the CCGs with the highest and lowest involuntary hospitalisations. In an adjusted analysis, CCGs with a higher percentage of severe mental illness in the population, higher percentage of male population, and higher community and outpatient mental health care use showed a higher rate of involuntary hospitalisation. Depression, urbanicity, deprivation, ethnicity, and age were not strongly associated with involuntary hospitalisation after adjustment. These variables explained 10.68% of the variation in involuntary hospitalisations across CCGs.

conclusionSome demographic and clinical variables explained variation in involuntary hospitalisation between areas in England, however, most of the variance was unexplained. Complex relationships between urbanicity, deprivation, age, and ethnicity need to be further explored. The role of other influences, such as variation in service organisation or clinical practice, also need to be better understood.

Indexed as

Commitment of Persons with Psychiatric DisordersHospitalizationMental DisordersMental Health ServicesAdultAgedCross-Sectional StudiesEnglandFemaleHumansMaleMiddle AgedSocioeconomic FactorsState MedicineEcologicalEnglandInvoluntary treatmentMental healthMental health act

Identifiers

PMID39190053
PMCPMC12378475

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