Evidence map›Paper›PMID 34033189›Full record

ArticleInternational journal of methods in psychiatric research2021

Measuring the level of compulsory hospitalisation in mental health care: The performance of different measures across areas and over time.

Tore Hofstad, Jorun Rugkåsa, Solveig O Ose, Olav Nyttingnes, Tonje L Husum

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in International journal of methods in psychiatric research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Observational
  7. Variation in Psychiatric Hospitalisations: A Multiple-Membership Multiple-Classification Analysis.International journal of environmental research and public health · 2024
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  14. Corrigendum.International journal of methods in psychiatric research · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Tore HofstadCentre for Medical Ethics, University of Oslo, Oslo, Norway.ORCID 0000-0003-0718-7931
Jorun RugkåsaHealth Services Research Unit, Akershus University Hospital, Lørenskog, Norway.
Solveig O OseSINTEF, Health Services Research, Trondheim, Norway.
Olav NyttingnesHealth Services Research Unit, Akershus University Hospital, Lørenskog, Norway.ORCID 0000-0003-0991-7176
Tonje L HusumCentre for Medical Ethics, University of Oslo, Oslo, Norway.
Akershus University Hospital · NOUniversity of Oslo · NOSINTEF · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA variety of measures are used for reporting levels of compulsory psychiatric hospitalisation. This complicates comparisons between studies and makes it hard to establish the extent of geographic variation. We aimed to investigate how measures based on events, individuals and duration portray geographical variation differently and perform over time, how they correlate and how well they predict future ranked levels of compulsory hospitalisation.

methodsSmall-area analysis, correlation analysis and linear regressions of data from a Norwegian health registry containing whole population data from 2014 to 2018.

resultsThe average compulsory hospitalisation rate per 100,000 inhabitant was 5.6 times higher in the highest area, compared to the lowest, while the difference for the compulsory inpatient rate was 3.2. Population rates based on inpatients correlate strongly with rates of compulsory hospitalisations (r = 0.88) and duration (r = 0.78). 68%-81% of ranked compulsory hospitalisation rates could be explained by each area's rank the previous year.

conclusionThere are stable differences in service delivery between catchment areas in Norway. In future research, multiple measures of the level of compulsory hospitalisation should ideally be included when investigating geographical variation. It is important that researchers describe accurately the measure upon which their results are based.

Indexed as

HospitalizationMental HealthHumansInpatientsNorwayRegistriescompulsory hospitalisationgeographic variationmeasurementsmall area analysis

Identifiers

PMID34033189
PMCPMC8412230
OpenAlexW3165405533

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.