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The socio-economic determinants of maternal health care utilization in Turkey
1School of Health Administration, Hacettepe University, Ankara, Turkey. yusufc@hotmail.com
The purpose of this study is to investigate the individual-, household- and community-level factors that affect women's use of maternal health care services in Turkey. The data used for the study come from the 1993 Turkey Demographic and Health Survey (TDHS), a nationally representative survey of ever married women 15 to 49 years of age. In order to assess the impact of socio-economic factors on maternal health care utilization, we use logistical regression techniques to estimate models of the prenatal care use and birth delivery assistance among women who have had at least one birth in the three years prior to the survey. Separate models are also estimated for urban and rural women. The results indicate that educational attainment, parity level, health insurance coverage, ethnicity, household wealth and geographic region are statistically significant factors that affect the use of health care services thought essential to reduce infant and child mortality rates. The results of the model are used to provide insights for both micro- and macro-level planning of maternal health service delivery.
The purpose of this study is to investigate the individual-, household- and community-level factors that affect women's use of maternal health care services in Turkey. The data used for the study come from the 1993 Turkey Demographic and Health Survey (TDHS), a nationally representative survey of ever married women 15 to 49 years of age. In order to assess the impact of socio-economic factors on maternal health care utilization, we use logistical regression techniques to estimate models of the prenatal care use and birth delivery assistance among women who have had at least one birth in the three years prior to the survey. Separate models are also estimated for urban and rural women. The results indicate that educational attainment, parity level, health insurance coverage, ethnicity, household wealth and geographic region are statistically significant factors that affect the use of health care services thought essential to reduce infant and child mortality rates. The results of the model are used to provide insights for both micro- and macro-level planning of maternal health service delivery.
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