Evidence map›Paper›PMID 23863912›Full record

Observational studySocial psychiatry and psychiatric epidemiology2014

A prediction model for the incidence of civil detention for crisis patients with psychiatric illnesses; the Amsterdam study of acute psychiatry VII.

Louk F M van der Post, Jaap Peen, Jack J M Dekker

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Social psychiatry and psychiatric epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Predicting involuntary hospitalization in psychiatry: A machine learning investigation.European psychiatry : the journal of the Association of European Psychiatrists · 2021
    Article
  6. Article
  7. A Review of the Admission System for Mental Disorders in South Korea.International journal of environmental research and public health · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Louk F M van der PostDepartment of Research, ARKIN Mental Health Care, Klaprozenweg 111, 1033NN, Amsterdam, The Netherlands, lvdp@xs4all.nl.
Jaap Peen
Jack J M Dekker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGiven raised numbers of civil detentions in the Netherlands and other European countries, it is important to assess the patient risk profile with respect to the incidence of those far-reaching treatment decisions. The aim of the ASAP study is to develop a comprehensive prediction model that considers all possible patient-related predictors known from earlier research.

methodsWe took a random sample of 252 from the 2,682 patients coming into contact with two psychiatric emergency teams in Amsterdam between September 2004 and September 2006. We recorded socio-demographic and clinical characteristics, aspects of social support and psychiatric history. We interviewed the patients using the Verona Service Satisfaction Scale (Verona-EU) and the Birchwood Insight Scale. During a two-year follow-up period we noted their use of mental health care facilities.

resultsStepwise logistic regression analyses with resulted in a final prediction model (P ≤ 0.001) including preceding involuntary admission (OR 9.4, 95% CI 3.6-24.7, P ≤ 0.001), domestic situation alone (OR 4.5, 95% CI 1.9-11.0, P = 0.001) and VSSS score satisfactory (OR 0.2, 95% CI 0.0-0.8, P = 0.030) as predictors of civil detention during 2 years of follow-up.

conclusionWith the presented prediction model it will be possible to identify patients at a high risk of civil detention: patients with a history of previous involuntary admissions who live alone and are not satisfied with the mental health care they got before. This suggests the possibility that timely preventive measures can be taken comprising the adjustment or intensification of the treatment plan for this specific group of patients.

Indexed as

AdolescentAdultCoercionCommitment of Persons with Psychiatric DisordersDemographyEmergency Services, PsychiatricFemaleFollow-Up StudiesHospitalizationHumansIncidenceLogistic ModelsMaleMental DisordersMiddle AgedNetherlands

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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.