Evidence map›Paper›PMID 39200584›Full record

ArticleInternational journal of environmental research and public health2024

Variation in Psychiatric Hospitalisations: A Multiple-Membership Multiple-Classification Analysis.

Emely Ek Blæhr, Beatriz Gallo Cordoba, Niels Skipper, Rikke Søgaard

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Emely Ek BlæhrDEFACTUM, Central Denmark Region, 8000 Aarhus, Denmark.ORCID 0000-0003-4966-4783
Beatriz Gallo CordobaFaculty of Education, Monash University, Clayton, VIC 3800, Australia.ORCID 0000-0002-7335-4534
Niels SkipperDepartment of Economics and Business Economics, Aarhus University, 8000 Aarhus, Denmark.
Rikke SøgaardDepartment of Public Health, Aarhus University, 8000 Aarhus, Denmark.ORCID 0000-0003-3557-8550

Funding

Helsefonden 17-B-0057
6 · The paper itself

Abstract

The complexity of variation in healthcare, particularly in mental health, remains poorly understood. However, addressing this issue presents an opportunity to opti-mise the allocation of scarce healthcare resources. To explore this, we investigated the variation in psychiatric care measured as the number of psychiatric hospitalisations. We estimated multiple-membership multiple-classification models utilising Danish register data for 64,694 individuals and their healthcare providers, including 2101 general practitioners, 146 community-based care institutions, 46 hospital departments, and 98 municipalities. This approach recognised that data are not strictly hierarchical. We found that, among individuals attending a single healthcare provider, 67.4% of the total variance in the number of hospitalisations corresponds to differences between individuals, 22.6% to differences between healthcare providers' geographical location, 7.02% to differences between healthcare providers, and 3% to differences between the geographical locations of the individuals. Adding characteristics to the model ex-plained 68.5% of the variance at the healthcare provider geographical level, but almost no explanation of the variation was found on the three other levels despite the nu-merous characteristics considered. This suggests that medical practice may vary un-warrantedly between healthcare providers, indicating potential for optimisation. Streamlining medical practices, such as adhering to clinical guidelines, could lead to more efficient supply of mental health resources. In conclusion, understanding and addressing variation in psychiatric care may impact resource allocation and patient outcomes, ultimately leading to a more effective healthcare system.

Indexed as

HospitalizationAdolescentAdultAgedDenmarkFemaleHumansMaleMental DisordersMiddle AgedYoung Adultmedical practice variationmultilevel modellingpsychiatry

Identifiers

PMID39200584
PMCPMC11353323

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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.