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Abstract Objective: To describe differences in Case Fatality Rate (CFR) for Covid-19 among healthcare subsystems in Mexico City between March and December 2020. Materials and methods: This is a retrospective secondary data analysis from the National Epidemiological Surveillance System data of Covid-19 cases. Information about health provider institutions was retrieved from the Catalogue of Health Establishments (CLUES). Logistic regressions were fitted to determine the association between health subsystems and mortality associated to Covid-19. The analyses were divided between hospitalized and ambulatory patients. Results: The probability of dying from Covid-19 was higher among those treated at Instituto Mexicano del Seguro Social (IMSS) (Hospitalized:OR=5.11, Ambulatory:OR=36.57), Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE) (Hospitalized:OR=2.10, Ambulatory:OR=9.19), Secretaría de Salud (SS) (Hospitalized:OR=1.94, Ambulatory:OR=5.29) or other public institutions (Hospitalized: OR=1.70, Ambulatory: OR=9.56) than in those treated in private institutions. Conclusions: Differences in healthcare quality and access between health subsystems are profound. It is imperative to increase the capacity and quality of the different health subsystems to improve health outcomes.
Resumen Objetivo: Describir diferencias en letalidad por Covid-19 entre subsistemas de salud en la Ciudad de México entre marzo y diciembre de 2020. Material y métodos: Análisis secundario retrospectivo del Sistema Nacional de Vigilancia Epidemiológica sobre casos Covid-19. La información sobre instituciones proveedoras de salud fue obtenida del Catálogo de Establecimientos de Salud. Se ajustaron regresiones logísticas para determinar la asociación entre los subsistemas de salud y la mortalidad atribuida a Covid-19. Los análisis se dividieron entre pacientes hospitalizados y ambulatorios. Resultados: La probabilidad de morir fue mayor entre aquéllos atendidos en el Instituto Mexicano del Seguro Social (IMSS) (Hospitalizados: OR=5.11, Ambulatorios: OR=36.57), Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE) (Hospitalizados: OR=2.10, Ambulatorios: OR=9.19), Secretaría de Salud (SS) (Hospitalizados: OR=1.94, Ambulatorio: OR=5.29) u otras instituciones públicas (Hospitalizados: OR=1.70, Ambulatorio: OR=9.56) que en los atendidos en instituciones privadas. Conclusiones: Las diferencias en calidad y acceso a la atención médica entre subsistemas de salud son profundas. Urge aumentar la capacidad y la calidad de los subsistemas de salud para mejorar los resultados en salud.
RESUMO
OBJECTIVE: To determine the association of frailty with out-of-pocket expenses (OOPEs) during the last year of life of Mexican older adults. METHODS: Cross-sectional secondary analysis of the Mexican Health and Aging Study (MHAS), a representative population-based cohort study. Health care expenses were estimated, and a probit model was used to estimate the probability that older adults had OOPE. A general linear model was applied to explain OOPE magnitudes. RESULTS: A total of 55.8% of individuals reported having OOPE with a mean of 3,261 USD. Average OOPE for hospitalization during the last year of life was 7,011.9 USD. Older adults taking their own medical decisions during the last year of life expended less than those who did not. CONCLUSION: No affiliation to health services, frailty, and health decision-making by others increased the probability of OOPE. The magnitude is determined by age, hospitalization, medical visits, affiliation, frailty, and health decision-making by others.
Assuntos
Fragilidade , Gastos em Saúde , Idoso , Envelhecimento , Estudos de Coortes , Estudos Transversais , HumanosRESUMO
Resumen: Objetivo: Calcular el costo en que incurre la sociedad por contar con menores de edad que no estudian y que son cuidadores de adultos mayores con dependencia. Material y métodos: Se utilizó el Estudio Nacional de Salud y Envejecimiento en México (Enasem) 2015 para calcular el número de cuidadores menores de edad que no estudian. Se consultó la Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH) 2018 para estimar diferencias salariales entre poblaciones con escolaridad de primaria y preparatoria terminada en edad laboral. Dichas diferencias fueron convertidas a valor presente, agregadas y multiplicadas por el número de cuidadores menores de edad. Resultados: El costo anual total de contar con cuidadores menores de edad que abandonan los estudios asciende a 1 112 179 210 pesos. Conclusiones: El tema de los cuidadores menores de edad no ha recibido la atención requerida de la bibliografía especializada y aún existe una gran brecha de investigación al respecto.
Abstract: Objective: To calculate the cost assumed by society for having underaged individuals who do not study and provide care to dependent older adults. Materials and methods: The Mexican Health and Ageing Study (MHAS) 2015 was used to calculate the number of underage caregivers who do not attend school. The Household Income and Expenditure Survey (ENIGH) 2018 was used to estimate wage differences between populations at working age with complete elementary and complete high school education. Those differences were then converted to present value, added and multiplied by the number of underage caregivers. Results: The total annual cost of having underage caregivers who drop out of school adds to 1 112 179 210 pesos. Conclusions: The topic concerning underage caregivers has not received enough attention from specialized literature and there is still a large research gap in this area.
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OBJECTIVE: To calculate the cost assumed by society for having underaged individuals who do not study and provide care to dependent older adults. MATERIALS AND METHODS: The Mexican Health and Ageing Study (MHAS) 2015 was used to calculate the number of underage caregivers who do not attend school. The Household Income and Expenditure Survey (ENIGH) 2018 was used to estimate wage differences between populations of working age with complete elementary and complete high school education. Those differences were then converted to present value, added, and multiplied by the number of underage caregivers. RESULTS: The total annual cost of having underage caregivers who drop out of school adds to 1 112 179 210 pesos. CONCLUSIONS: The topic concerning underage caregivers has not received enough attention from specialized literature, and there is still a large research gap in this area.