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Modelling Deprivation Level and Multimorbidity in a Health District

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Modelling Deprivation Level and Multimorbidity in a Health District

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dc.contributor.author Botija Yagüe, María Pilar es_ES
dc.contributor.author Sorbet-Santiago, Sofía es_ES
dc.contributor.author Díaz-Carnicero, Javier es_ES
dc.contributor.author González-De Julián, Silvia es_ES
dc.contributor.author Usó-Talamantes, Ruth es_ES
dc.date.accessioned 2023-06-21T18:02:00Z
dc.date.available 2023-06-21T18:02:00Z
dc.date.issued 2022-02 es_ES
dc.identifier.uri http://hdl.handle.net/10251/194466
dc.description.abstract [EN] Deprivation is associated with an increased risk of developing chronic health conditions and with worse outcomes in multimorbidity. The goal of our study was to develop an integrated population index of deprivation (IPID) to observe the influence of deprivation on morbidity and the subsequent use of healthcare resources in one health district, using the socioeconomic, clinical and geographical data from its administrative health records. Eight socioeconomic indicators were identified and weighted using the methodology of two-phase principal component analysis, providing an index that allowed each census section to be classified into seven deprivation groups. Secondly, the possible relation between the IPID and the variables for multimorbidity and healthcare resources was analysed using the theory of multiple comparisons. It was observed that places with a greater proportion of healthy people presented lower values of deprivation and that, at lower levels of deprivation, there were fewer hospital admissions. The results show that living in an area with a higher deprivation index is associated with greater consumption of healthcare resources and disease burden. Identifying areas of sociosanitary vulnerability can help to identify health inequalities and allow intervention by clinical practices and healthcare management to reduce them. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Mathematics es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Deprivation es_ES
dc.subject Socioeconomic position es_ES
dc.subject Multimorbidity es_ES
dc.subject Modelling es_ES
dc.subject.classification ECONOMIA FINANCIERA Y CONTABILIDAD es_ES
dc.title Modelling Deprivation Level and Multimorbidity in a Health District es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/math10040659 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses es_ES
dc.description.bibliographicCitation Botija Yagüe, MP.; Sorbet-Santiago, S.; Díaz-Carnicero, J.; González-De Julián, S.; Usó-Talamantes, R. (2022). Modelling Deprivation Level and Multimorbidity in a Health District. Mathematics. 10(4):1-14. https://doi.org/10.3390/math10040659 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/math10040659 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 14 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 4 es_ES
dc.identifier.eissn 2227-7390 es_ES
dc.relation.pasarela S\462274 es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
upv.costeAPC 1418,4 es_ES


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