Evidence map›Paper›PMID 39350100›Full record

ArticleBMC public health2024

Assessment of care provision integration in a community-based mental health system: balanced care model implementation in Andalusia (Spain).

Diego Diaz-Milanes, Nerea Almeda, Maria Luisa Rodero-Cosano, Jose A Salinas-Perez, Carlos R Garcia-Alonso

Abstract read
In one paragraph

Article in BMC 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. Review
  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

5 authors.

Diego Diaz-MilanesDepartment of Quantitative Methods, Universidad Loyola Andalucia, Seville, Spain. ddiaz@uloyola.es.ORCID 0000-0001-9123-2306
Nerea AlmedaDepartment of Psychology, Universidad Loyola Andalucia, Seville, Spain.ORCID 0000-0002-6477-5142
Maria Luisa Rodero-CosanoDepartment of Quantitative Methods, Universidad Loyola Andalucia, Seville, Spain.ORCID 0000-0003-4352-2207
Jose A Salinas-PerezDepartment of Quantitative Methods, Universidad Loyola Andalucia, Seville, Spain.ORCID 0000-0001-8533-9342
Carlos R Garcia-AlonsoDepartment of Quantitative Methods, Universidad Loyola Andalucia, Seville, Spain.ORCID 0000-0002-9001-9818

Funding

Consejería de Transformación Económica, Industria, Conocimiento y Universidades. Junta de Andalucía PY18-RE-0022
6 · The paper itself

Abstract

backgroundAndalusia is the second largest region in Spain, and it has developed a comprehensive mental health (MH) plan that encourages the consolidation of the balanced care model. However, its geographical and socioeconomic disparity is a great challenge for a community-based MH system. Both the assessment of the implementation of the MH plan and the development of new tools to support decision-making can be considered critical.

objectivesThe present study aims (i) to assess how the integration of different types of MH care may influence system performance and (ii) to check the performance evolution of the integration process geographically regarding the small MH areas of Andalusia.

methodsThe performance of the Andalusian MH system was assessed by combining Monte Carlo simulation, fuzzy inference and data envelopment analysis. The relative technical efficiency was the main performance indicator.

resultsA correct integration of appropriate types of MH care, according to population needs, increases the performance of the Andalusian MH system both from global and regional perspectives. The spatial representation (based on small MH areas) of the results highlights how the performance depends on specific geographical characteristics. By analyzing the identified spatial clusters, defined by different management patterns depending on user and socioeconomic characteristics, benchmark areas and areas for improvement can be studied to design evidence-informed policies and interventions.

conclusionsA global analysis of MH system performance was carried out, including both the successive integration of different types of care and its spatial evolution. Although an appropriate integration of different types of MH care has a positive effect on the Andalusian MH system, this process has different profiles depending on specific geographically based user and socioeconomic characteristics. The balanced care model can be considered the paradigm for assessing the performance of a large and populated territory such as Andalusia, which has a community-based MH system. This methodological approach (performance assessment and spatial analysis) may be used as a guide for developing future evidence-informed policies and managerial interventions.

Indexed as

Community Mental Health ServicesDelivery of Health Care, IntegratedFuzzy LogicHumansModels, OrganizationalMonte Carlo MethodSpainBalanced care modelCartographic representationDecision support systemHealth care system assessmentMental health servicesRelative technical efficiency

Identifiers

PMID39350100
PMCPMC11440898

What OpenQuestion holds

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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.