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

dc.contributor.authorDiaz-Milanes, D.
dc.contributor.authorAlmeda, N.
dc.contributor.authorRodero-Cosano, M.L.
dc.contributor.authorSalinas-Perez, J.A.
dc.contributor.authorGarcia-Alonso, C.R.
dc.date.accessioned2026-10-14T06:01:42Z
dc.date.available2026-10-14T06:01:42Z
dc.date.issued2024-09-30
dc.identifier.citationDiaz-Milanes, D., Almeda, N., Rodero-Cosano, M. L., Salinas-Perez, J. A., & Garcia-Alonso, C. R. (2024). Assessment of care provision integration in a community-based mental health system: balanced care model implementation in Andalusia (Spain). BMC Public Health, 24, 2671. https://doi.org/10.1186/s12889-024-20169-6es
dc.identifier.isbn10.1186/s12889-024-20169-6
dc.identifier.issn1471-2458
dc.identifier.urihttps://hdl.handle.net/20.500.12412/7421
dc.description.abstractBackground Andalusia 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. Objectives The 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. Methods The 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. Results A 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. Conclusions A 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.es
dc.language.isoenges
dc.titleAssessment of care provision integration in a community-based mental health system: balanced care model implementation in Andalusia (Spain)es
dc.typearticlees
dc.issue.number2671es
dc.journal.titleBMC Public Healthes
dc.page.initial1471es
dc.page.final2458es
dc.rights.accessRightsopenAccesses
dc.subject.keywordMental health serviceses
dc.subject.keywordHealth care system assessmentes
dc.subject.keywordBalanced care modeles
dc.subject.keywordDecision support systemes
dc.subject.keywordRelative technical efficiencyes
dc.subject.keywordCartographic representationes
dc.volume.number24es


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