Care-seeking as a proxy indicator of the mental health of elderly Brazilians
Braz. J. Psychiatry (São Paulo, 1999, Impr.)
;
42(6): 591-598, Nov.-Dec. 2020. tab, graf
Artículo
en Inglés
| LILACS
| ID: biblio-1132147
ABSTRACT
Objective:
To assess a large set of metadata made public by the Brazilian Ministry of Health on older subjects who visited outpatient mental health services in Brazil from 2008 to 2012.Methods:
We extracted data from the Brazilian Unified Health System Information Technology Department (Departamento de Informática do Sistema Único de Saúde, DATASUS), then calculated rates of visits per population in each of the five regions of Brazil, using census data for each year. Finally, logistic regressions were performed with depressive disorders or dementias as dependent variables, controlled by age and year of visit, stratified by region.Results:
Mood disorders were the leading reason for visits to outpatient mental health services by older adults, followed by delusional disorders. The calculated rates were lower than the known prevalence of depressive disorders and dementias, but the regressions revealed typical patterns. Males were less likely to present with a depressive disorder, while older subjects were more likely to present with depression and dementia.Conclusions:
Publicly available data from DATASUS may not enable inferences about the prevalence of mental disorders in elders, but inferential analyses match what is known about these conditions. This approach is supplemental to other more common ones and is of special importance for policymakers and health system managers.
Texto completo:
Disponible
Índice:
LILACS (Américas)
Asunto principal:
Trastornos Mentales
/
Servicios de Salud Mental
Tipo de estudio:
Estudio diagnóstico
/
Estudio de prevalencia
/
Factores de riesgo
Límite:
Anciano
/
Humanos
/
Masculino
País/Región como asunto:
America del Sur
/
Brasil
Idioma:
Inglés
Revista:
Braz. J. Psychiatry (São Paulo, 1999, Impr.)
Asunto de la revista:
Psiquiatria
Año:
2020
Tipo del documento:
Artículo
País de afiliación:
Australia
/
Brasil
Institución/País de afiliación:
Centro de Integração de Dados e Conhecimentos para Saúde (CIDACS)/BR
/
University of Melbourne, Austin Health/AU
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