Evidence map›Paper›PMID 37872626›Full record

ArticleHealth research policy and systems2023

Impact of the workforce allocation on the technical performance of mental health services: the collective case of Helsinki-Uusimaa (Finland).

Diego Diaz-Milanes, Nerea Almeda, Mencia R Gutierrez-Colosia, Carlos R Garcia-Alonso, Minna Sadeniemi, Luis Salvador-Carulla

Abstract read
In one paragraph

Article in Health research policy and systems, 2023. 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

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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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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.

  1. Review
  2. Proof of concept studies in mental health systems research: strategy and steps.International journal of mental health systems · 2025
    Review
  3. 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

6 authors.

Diego Diaz-MilanesDepartment of Quantitative Methods, Universidad Loyola Andalucía, Avenida de las Universidades, S/N, Dos Hermanas, Seville, 41704, Cordova, Spain. ddiaz@uloyola.es.ORCID http://orcid.org/0000-0001-9123-2306
Nerea AlmedaDepartment of Psychology, Universidad Loyola Andalucía, Seville, Spain.
Mencia R Gutierrez-ColosiaDepartment of Psychology, Universidad Loyola Andalucía, Seville, Spain.
Carlos R Garcia-AlonsoDepartment of Quantitative Methods, Universidad Loyola Andalucía, Avenida de las Universidades, S/N, Dos Hermanas, Seville, 41704, Cordova, Spain.
Minna SadeniemiVarma Mutual Pension Insurance Company, Varma, Finland.
Luis Salvador-CarullaInstitute of Health Research, University of Canberra, Canberra, Australia.

Funding

Consejería de Economía, Conocimiento, Empresas y Universidad, Junta de Andalucía PY18-RE-0022Instituto de Salud Carlos III PI18/01521Seventh Framework Programme 261459
6 · The paper itself

Abstract

backgroundLong-term mental health (MH) policies in Finland aimed at investing in community care and promoting reforms have led to a reduction in the number of psychiatric hospital beds. However, most resources are still allocated to hospital and community residential services due to various social, economic and political factors. Despite previous research focussing on the number and cost of these services, no study has evaluated the emerging patterns of use, their technical performance and the relationship with the workforce structure.

objectiveThe purpose of this study was to observe the patterns of use and their technical performance (efficiency) of the main types of care of MH services in the Helsinki-Uusimaa region (Finland), and to analyse the potential relationship between technical performance and the corresponding workforce structure.

methodsThe sample included acute hospital residential care, non-hospital residential care and outpatient care services. The analysis was conducted using regression analysis, Monte Carlo simulation, fuzzy inference and data envelopment analysis.

resultsThe analysis showed a statistically significant linear relationship between the number of service users and the length of stay, number of beds in non-hospital residential care and number of contacts in outpatient care services. The three service types displayed a similar pattern of technical performance, with high relative technical efficiency on average and a low probability of being efficient. The most efficient acute hospital and outpatient care services integrated multidisciplinary teams, while psychiatrists and nurses characterized non-hospital residential care.

conclusionsThe results indicated that the number of resources and utilization variables were linearly related to the number of users and that the relative technical efficiency of the services was similar across all types. This suggests homogenous MH management with small variations based on workforce allocation. Therefore, the distribution of workforce capacity should be considered in the development of effective policies and interventions in the southern Finnish MH system.

Indexed as

Mental Health ServicesAmbulatory CareFinlandHumansWorkforceDecision support systemFinlandMental healthcareRelative technical efficiencyServices managementWorkforce

Identifiers

PMID37872626
PMCPMC10594770

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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.