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Rev. méd. Chile ; 147(3): 322-329, mar. 2019. tab, graf
Artículo en Español | LILACS | ID: biblio-1004353

RESUMEN

Background: The place of death is a fundamental indicator for the debate on equity and access to health care. Aim: To describe the place of death of the deceased population over 1 year of age in Chile between the years 1997 and 2014. To analyze tendencies in this variable and its association with socio-demographic characteristics. Material and Methods: Time series study covering deaths occurred between 1997 and 2014 in Chile. National death records were used, provided by the Department of Health Statistics and Information (DEIS) of the Chilean Ministry of Health. The following variables were chosen: place of death (home, hospital, other), sex, marital status, age, level of education, activity and area of residence. Temporal trends were evaluated using Prais Winsten regressions. Logistic regression was used to assess the association of the place of death with socio-demographic characteristics. Results: Between 1997 and 2014 there were 1,576,392 deaths, at a mean age of 69 years (p25-p75:60-83 years). No temporal variations in the place of death were observed with the Prais Winsten regression, hospital (P-W coefficient (coef) = 0.06 (confidence intervals (CI): −0.30; 0.19), p = 0.64), home (P-W coef = −0.03 (CI: −0.15; 0.09), p = 0.57), and other places (P-W coef = 0.07; (CI: −0.08 - 0.22), p = 0.32). The multivariate analysis showed that being women under 70 years of age, being married or widowed, having a higher educational level, being inactive and living in a rural area were factors associated with a greater chance of dying at home. Conclusions: No significant temporal variation in the place of death was observed.


Asunto(s)
Humanos , Masculino , Femenino , Persona de Mediana Edad , Anciano , Anciano de 80 o más Años , Mortalidad , Factores Socioeconómicos , Factores de Tiempo , Modelos Logísticos , Chile/epidemiología , Características de la Residencia , Certificado de Defunción , Causas de Muerte , Mortalidad Hospitalaria , Hospitales/estadística & datos numéricos
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