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


METHODS
Secondary data analysis.


METHODS
HCC coverage area; primary care.


METHODS
Sociodemographic indicators were obtained from special tabulations of the Demographic Census of 1991.


METHODS
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.


CONCLUSIONS
The inequalities observed may contribute to primary health prevention.
Departamento de Medicina Preventiva, Universidade Federal de São Paulo/Escola Paulista de Medicina, Brazil.
K Y
KY
Harada
J G
JG
Silva
S
S
Schenkman
E T
ET
Hayama
F R
FR
Santos
M C
MC
Prado
R H
RH
Pontes
D000368:Aged; D001938:Brazil / Q000453:epidemiology; D002391:Catchment Area, Health / Q000706:statistics & numerical data*; D002423:Cause of Death; D019352:Censuses; D002675:Child, Preschool; D003710:Demography; D006305:Health Status Indicators; D006801:Humans; D007182:Income / Q000145:classification; D007223:Infant; D007231:Infant, Newborn; D008875:Middle Aged; D011320:Primary Health Care / Q000706:statistics & numerical data*; D012959:Socioeconomic Factors