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Delimitation of homogenous regions in the UNIFESP/EPM healthcare center coverage area based on sociodemographic indicators
Harada, Karina Yuri; Silva, Julieta Gonçalves; Schenkman, Simone; Hayama, Eliana Tiemi; Santos, Francisco Roberto Gonçalves; Prado, Mariângela Cainelli de Oliveira; Pontes, Regina Helena Petroni.
  • Harada, Karina Yuri; Universidade Federal de Säo Paulo. Escola Paulista de Medicina. Departamento de Medicina Preventiva.
  • Silva, Julieta Gonçalves; Universidade Federal de Säo Paulo. Escola Paulista de Medicina. Departamento de Medicina Preventiva.
  • Schenkman, Simone; Universidade Federal de Säo Paulo. Escola Paulista de Medicina. Departamento de Medicina Preventiva.
  • Hayama, Eliana Tiemi; Universidade Federal de Säo Paulo. Escola Paulista de Medicina. Departamento de Medicina Preventiva.
  • Santos, Francisco Roberto Gonçalves; Universidade Federal de Säo Paulo. Escola Paulista de Medicina. Departamento de Medicina Preventiva.
  • Prado, Mariângela Cainelli de Oliveira; Universidade Federal de Säo Paulo. Escola Paulista de Medicina. Departamento de Medicina Preventiva.
  • Pontes, Regina Helena Petroni; Universidade Federal de Säo Paulo. Escola Paulista de Medicina. Departamento de Medicina Preventiva.
São Paulo med. j ; 117(1): 25-33, Jan. 1999. mapas, graf
Artículo en Inglés | LILACS | ID: lil-233513
ABSTRACT
Context The drawing up of adequate Public Health action planning to address the true needs of the population would increase the chances of effectiveness and decrease unnecessary expenses.

Objective:

To identify homogenous regions in the UNIFESP/EPM healthcare center (HCC) coverage area based on sociodemographic indicators and to relate them to causes of deaths in 1995.

Design:

Secondary data analysis.

Setting:

HCC coverage area; primary care. Sample Sociodemographic indicators were obtained from special tabulations of the Demographic Census of 1991. Main

measures:

Proportion of children and elderly in the population; family providers' education level (maximum > 15 years, minimum < 1 year) and income level (maximum > 20 minimum wages, minimum < 1 minimum wage); proportional mortality distribution. Results. The maximum income permitted the construction of four homogeneous regions, according to income ranking. Although the proportion of children and of elderly did not vary significantly among the regions, minimum income and education showed a statistically significant (p<0.05) difference between the first region (least affluent) and the others. A clear trend of increasing maximum education was observed across the regions. Mortality also differed in the first region, with deaths generated by possibly preventable infections.

Conclusion:

The inequalities observed may contribute to primary health prevention.
Asunto(s)
Texto completo: Disponible Índice: LILACS (Américas) Asunto principal: Factores Socioeconómicos / Áreas de Influencia de Salud / Mortalidad / Instituciones de Salud Tipo de estudio: Estudio pronóstico Límite: Child, preschool / Humanos / Lactante / Recién Nacido País/Región como asunto: America del Sur / Brasil Idioma: Inglés Revista: São Paulo med. j Asunto de la revista: Cirurgia Geral / Ciˆncia / Ginecologia / Medicina / Medicina Interna / Obstetr¡cia / Pediatria / Sa£de Mental / Sa£de P£blica Año: 1999 Tipo del documento: Artículo

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Texto completo: Disponible Índice: LILACS (Américas) Asunto principal: Factores Socioeconómicos / Áreas de Influencia de Salud / Mortalidad / Instituciones de Salud Tipo de estudio: Estudio pronóstico Límite: Child, preschool / Humanos / Lactante / Recién Nacido País/Región como asunto: America del Sur / Brasil Idioma: Inglés Revista: São Paulo med. j Asunto de la revista: Cirurgia Geral / Ciˆncia / Ginecologia / Medicina / Medicina Interna / Obstetr¡cia / Pediatria / Sa£de Mental / Sa£de P£blica Año: 1999 Tipo del documento: Artículo