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How the Frailty Index May Support the Allocation of Health Care Resources: An Example From the INCUR Study

dc.rights.licensehttp://creativecommons.org/licenses/by/4.0es_MX
dc.creatorMatteo Cesaries_MX
dc.creatorNadège Costaes_MX
dc.creatorEmiel Hoogendijkes_MX
dc.creatorbruno vellases_MX
dc.creatorMarco Canevellies_MX
dc.creatorMARIO ULISES PEREZ ZEPEDAes_MX
dc.date2016
dc.date.accessioned2021-12-06T20:52:48Z
dc.date.available2021-12-06T20:52:48Z
dc.identifier.urihttp://repositorio.inger.gob.mx/jspui/handle/20.500.12100/17327
dc.descriptionBackground: The Frailty Index (FI), proposed by Rockwood and Mitniski, measures the deficits accumulation occurring with aging, and can be generated from the results of a comprehensive clinical assessment. Its construct (based on pure arithmetical assumptions) may represent a unique feature for supporting unbiased comparisons among clinical facilities/services. Objective: To propose an example depicting how the FI may support health economic evaluations and provide insights for public health. Design: Observational study. Setting: Nine nursing homes participating in the ""Incidence of pNeumonia and related ConseqUences in nursing home Residents"" (INCUR) study. Subjects: A sample of 345 older persons living in nursing homes. Methods: A 30-item FI was generated from clinical data retrieved from medical charts. Health care expenditures that occurred over 12 months of follow-up for each participant were obtained from the Caisse Primaire d'Assurance Maladie. Descriptive analyses describing the relationships between the FI of residents with the annual health care expenditures according to nursing home are presented. Results: Mean age of the study sample was 86.0 (SD 7.9) years. The median annual cost per patient was 27,717.75 (interquartile range, IQR 25,917.60-32,118.02) Euros. The median FI was 0.33 (IQR 0.27-0.43). Results are graphically presented to highlight clinical and economic differences across nursing homes, so as to identify potential discrepancies between clinical burden and consumed resources. Conclusions: In this article, an example on how the FI may support health economic analyses and promote an improved allocation of healthcare resources is presented.es_MX
dc.formatAdobe PDFes_MX
dc.languageenges_MX
dc.publisherElsevier & American Medical Directors Associationes_MX
dc.relationhttps://www.jamda.com/article/S1525-8610(16)00093-1/fulltextes_MX
dc.relation.requiresSies_MX
dc.rightsAcceso Abiertoes_MX
dc.sourceJournal of the American Medical Directors Association (1525-8610) Vol. 17 (2016)es_MX
dc.subjectMEDICINA Y CIENCIAS DE LA SALUDes_MX
dc.subjectCiencias médicases_MX
dc.subjectCiencias clínicases_MX
dc.subjectGeriatríaes_MX
dc.subjectEnvejecimientoes_MX
dc.subjectAginges_MX
dc.subjectFragilidades_MX
dc.subjectFrailtyes_MX
dc.subjectEconomía de la saludes_MX
dc.subjectHealth economicses_MX
dc.subjectÍndice de fragilidades_MX
dc.subjectFrailty indexes_MX
dc.titleHow the Frailty Index May Support the Allocation of Health Care Resources: An Example From the INCUR Studyes_MX
dc.typeArtículoes_MX
dc.audienceResearcherses_MX
dc.creator.id0000-0002-0348-3664es_MX
dc.creator.idCA1223516es_MX
dc.creator.idCA1350223es_MX
dc.creator.id0000-0002-7678-5065es_MX
dc.creator.idCA1350233es_MX
dc.creator.idPEZM760111HDFRPR07es_MX
dc.creator.nameIdentifiercvues_MX
dc.creator.nameIdentifiercaes_MX
dc.creator.nameIdentifiercaes_MX
dc.creator.nameIdentifiercvues_MX
dc.creator.nameIdentifiercaes_MX
dc.creator.nameIdentifiercurpes_MX


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