Evidence map›Paper›PMID 30594163›Full record

ArticleBMC psychiatry2018

Factors associated with involuntary hospitalisation for psychiatric patients in Switzerland: a retrospective study.

Benedetta Silva, Philippe Golay, Stéphane Morandi

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
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  13. Impact of compulsory admission on treatment and outcome: A propensity score matched analysis.European psychiatry : the journal of the Association of European Psychiatrists · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Predicting involuntary hospitalization in psychiatry: A machine learning investigation.European psychiatry : the journal of the Association of European Psychiatrists · 2021
    Article
  19. Factors associated with involuntary psychiatric hospitalization in Portugal.International journal of mental health systems · 2021
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Benedetta SilvaSocial Psychiatry Section, Community Psychiatry Service, Department of Psychiatry, Lausanne University Hospital (CHUV), Place Chauderon 18, 1003, Lausanne, Switzerland. benedetta.silva@chuv.ch.ORCID 0000-0002-8896-8467
Philippe GolaySocial Psychiatry Section, Community Psychiatry Service, Department of Psychiatry, Lausanne University Hospital (CHUV), Place Chauderon 18, 1003, Lausanne, Switzerland.
Stéphane MorandiSocial Psychiatry Section, Community Psychiatry Service, Department of Psychiatry, Lausanne University Hospital (CHUV), Place Chauderon 18, 1003, Lausanne, Switzerland.
University Hospital of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the scarce evidence for patients' benefits of coercion and its well-documented negative effects, the use of compulsion is still very common around Europe, with important variations among different countries. These variations have been partially explained by the different legal frameworks, but also by several individual-related, system-related and area-related characteristics, identified as predictors of the use of coercive measures. This study aimed to compare the socio-demographic and clinical profile as well as the referral and hospitalisation process of people voluntarily and involuntarily hospitalized in order to identify which factors could be associated with the use of coercion.

methodsAll psychiatric admissions occurred between the 1st January 2015 and the 31st December 2015 were included in this retrospective study (n = 5027). The whole sample was split into two subgroups accordingly to the hospitalisation legal status at admission (voluntary vs involuntary) and differences between the two groups were examined. In order to identify the factors associated with coercion, all the variables reaching a p < .01 level of significance when comparing the two groups were included as independent variables into a multivariate logistic regression model.

resultsGlobally, 62% of the admissions were voluntary and 38% were involuntary. Compared to the voluntary group, involuntary patients were significantly older, more frequently widowed and living in one specific district, and had a main diagnosis of schizophrenia (F20-F29) or organic mental disorders (F00-F09). People affected by organic mental disorders (F00-F09), with higher levels of psychotic symptoms, aggression and problems with medication adherence, were more likely to be involuntarily admitted. Moreover, living in District 1, being referred by a general practitioner, a general hospital or a psychiatric hospital and being involuntarily admitted during the previous 12 months, was associated with a higher risk of coercion.

conclusionsThis study identified several individual-related, as well as system-related factors associated with the use of coercion. These results allowed us to trace a clearer profile of high-risk patients and to provide several inputs that could help local authorities, professionals and researchers to develop better-targeted alternative interventions reducing the use of coercion.

Indexed as

CoercionInvoluntary TreatmentMental DisordersAdultCommitment of Persons with Psychiatric DisordersFemaleHospitals, PsychiatricHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsSwitzerlandCoercionInpatientPsychiatryRisk factors

Identifiers

PMID30594163
PMCPMC6311042
OpenAlexW2907069053

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.