Epidemiology, mortality, and health service use of local-level multimorbidity patterns in South Spain
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Alvarez Galvez, Javier; Ortega Martin, Esther; Ramos Fiol, Begoña; Suarez Lledo, Victor; Carretero Bravo, JesusEditorial
Springer Nature
Date
2023-11-24Referencia bibliográfica
Alvarez-Galvez, J., Ortega-Martin, E., Ramos-Fiol, B. et al. Epidemiology, mortality, and health service use of local-level multimorbidity patterns in South Spain. Nat Commun 14, 7689 (2023). https://doi.org/10.1038/s41467-023-43569-5
Sponsorship
University Research Institute for Sustainable Social Development; Biomedical Research and Innovation Institute of Cadiz (INiBICA); University of Cadiz; Ramon y Cajal programme run by the Spanish Ministry of Science and Innovation; Public funds by the ITI call (Integrated Territorial Investment), developed by the Health Department of the Andalusian Government (ITI-0028-2019); DEMMOCAD project has been 80% co-financed by funds from the European Regional Development Fund (ERDF) operational programme of Andalusia 2014–2020; INDESS (Instituto Universitario de Investigación para el Desarrollo Social Sostenible); University of Cadiz, Jerez de la Frontera, SpainAbstract
Multimorbidity –understood as the occurrence of chronic diseases together–represents a major challenge for healthcare systems due to its impact on
disability, quality of life, increased use of services and mortality. However,
despite the global need to address this health problem, evidence is still needed
to advance our understanding of its clinical and social implications. Our study
aims to characterisemultimorbidity patterns in a dataset of 1,375,068 patients
residing in southern Spain. Combining LCA techniques and geographic
information, together with service use, mortality, and socioeconomic data, 25
chronicity profiles were identified and subsequently characterised by sex and
age. The present study has led us to several findings that take a step forward in
this field of knowledge. Specifically, we contribute to the identification of an
extensive range of at-risk groups. Moreover, our study reveals that the complexity
of multimorbidity patterns escalates at a faster rate and is associated
with a poorer prognosis in local areas characterised by lower socioeconomic
status. These results emphasize the persistence of social inequalities in multimorbidity,
highlighting the need for targeted interventions to mitigate the
impact on patients’ quality of life, healthcare utilisation, and mortality rates.