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    Individual and contextual determinants of adequate maternal health care services in Kenya

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    Date
    2015
    Author
    Achia, Thomas N. O.
    Mageto, Lillian E.
    Type
    Article; en
    Language
    en
    Metadata
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    Abstract
    This study aimed to examine individual and community level factors associated with adequate use of maternal antenatal health services in Kenya. Individual and community level factors associated with adequate use of maternal health care (MHC) services were obtained from the 2008–09 Kenya Demographic and Health Survey data set. Multilevel partial-proportional odds logit models were fitted using STATA 13.0 to quantify the relations of the selected covariates to adequate MHC use, defined as a three-category ordinal variable. The sample consisted of 3,621 women who had at least one live birth in the five-year period preceding this survey. Only 18 percent of the women had adequate use of MHC services. Greater educational attainment by the woman or her partner, higher socioeconomic status, access to medical insurance coverage, and greater media exposure were the individual-level factors associated with adequate use of MHC services. Greater community ethnic diversity, higher community-level socioeconomic status, and greater community-level health facility deliveries were the contextual-level factors associated with adequate use of MHC. To improve the use of MHC services in Kenya, the government needs to design and implement programs that target underlying individual and community level factors, providing focused and sustained health education to promote the use of antenatal, delivery, and postnatal care.
    URI
    http://www.tandfonline.com/doi/abs/10.1080/03630242.2014.979971#.VSTVBZOZHs0
    http://hdl.handle.net/11295/81931
    Citation
    Achia, Thomas NO, and Lillian E. Mageto. "Individual and Contextual Determinants of Adequate Maternal Health Care Services in Kenya." Women & health ahead-of-print (2015): 1-24.
    Publisher
    University of Nairobi
    Collections
    • Faculty of Science & Technology (FST) [4284]

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