Evidence map›Paper›PMID 35836146›Full record

ArticleBMC psychiatry2022

Determinants of compulsory hospitalisation at admission and in the course of inpatient treatment in people with mental disorders-a retrospective analysis of health records of the four psychiatric hospitals of the city of Cologne.

Sönke Johann Peters, Mario Schmitz-Buhl, Olaf Karasch, Jürgen Zielasek, Euphrosyne Gouzoulis-Mayfrank

Abstract read
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Article in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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

5 authors.

Sönke Johann PetersLVR Institute for Healthcare Research, Wilhelm-Griesinger-Strasse 23, 51109, Cologne, Germany.ORCID 0000-0002-1993-6613
Mario Schmitz-BuhlLVR Clinics Cologne, Wilhelm-Griesinger-Strasse 23, 51109, Cologne, Germany.ORCID 0000-0001-8403-6972
Olaf KaraschLVR Institute for Healthcare Research, Wilhelm-Griesinger-Strasse 23, 51109, Cologne, Germany.
Jürgen ZielasekLVR Institute for Healthcare Research, Wilhelm-Griesinger-Strasse 23, 51109, Cologne, Germany.ORCID 0000-0003-4908-6389
Euphrosyne Gouzoulis-MayfrankLVR Institute for Healthcare Research, Wilhelm-Griesinger-Strasse 23, 51109, Cologne, Germany. euphrosyne.gouzoulis-mayfrank@lvr.de.ORCID 0000-0003-0632-4578

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to identify differences in predictors of involuntary psychiatric hospitalisation depending on whether the inpatient stay was involuntary right from the beginning since admission or changed from voluntary to involuntary in the course of in-patient treatment.

methodsWe conducted an analysis of 1,773 mental health records of all cases treated under the Mental Health Act in the city of Cologne in the year 2011. 79.4% cases were admitted involuntarily and 20.6% were initially admitted on their own will and were detained later during the course of in-patient stay. We compared the clinical, sociodemographic, socioeconomic and environmental socioeconomic data (ESED) of the two groups. Finally, we employed two different machine learning decision-tree algorithms, Chi-squared Automatic Interaction Detection (CHAID) and Random Forest.

resultsMost of the investigated variables did not differ and those with significant differences showed consistently low effect sizes. In the CHAID analysis, the first node split was determined by the hospital the patient was treated at. The diagnosis of a psychotic disorder, an affective disorder, age, and previous outpatient treatment as well as the purchasing power per 100 inhabitants in the living area of the patients also played a role in the model. In the Random Forest, age and the treating hospital had the highest impact on the accuracy and decrease in Gini of the model. However, both models achieved a poor balanced accuracy. Overall, the decision-tree analyses did not yield a solid, causally interpretable prediction model.

conclusionCases with detention at admission and cases with detention in the course of in-patient treatment were largely similar in respect to the investigated variables. Our findings give no indication for possible differential preventive measures against coercion for the two subgroups. There is no need or rationale to differentiate the two subgroups in future studies.

Indexed as

Hospitals, PsychiatricMental DisordersCommitment of Persons with Psychiatric DisordersHospitalizationHumansInpatientsRetrospective StudiesCHAIDInvoluntary admissionMachine learningMental Health ActRandom Forest

Identifiers

PMID35836146
PMCPMC9284734

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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.