ArticlePloS one2022
Women's contraceptive profiles in Burundi: Knowledge, attitudes, and interactions with media and health services.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Education, economic autonomy and digitalization as factors associated with married women's ability to make sexual and reproductive health decisions in sub-Saharan Africa: a multi-level analysis of 16 countries.BMC women's health · 2025Observational
- Knowledge, attitude, practices and associated factors of family planning among women living with hiv at the university of Gondar specialized hospital: a cross sectional study.BMC women's health · 2024Article
- Using sequence analysis to visualize exposure to pregnancy in the postpartum period.Demographic researchArticle
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3 authors.
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Abstract
Reproductive health program managers seek information about existing and potential clients' motivations, behaviors, and barriers to services. Using sequence and cluster analysis of contraceptive calendar data from the 2016-17 Burundi Demographic and Health Survey, we identified discrete clusters characterizing patterns in women's contraceptive and pregnancy behaviors over the previous 5 years. This study pairs these clusters with data on factors typically targeted in social behavior change interventions: knowledge, attitudes, and women's interactions with media and health services, to create composite profiles of women in these clusters. Of six clusters, three are characterized by contraceptive use and three are characterized by its absence. Media exposure and attitudes regarding sex preference, wife beating, and self-efficacy largely do not explain cluster membership. Contraceptive knowledge is positively associated with two clusters (Family Builder 1 and Traditional Mother) and negatively associated with a third (Quiet Calendar). Clusters also differ in their members' fertility desires, contraceptive intentions, and interactions with health services. Two "Family Builder" clusters are both characterized by the presence (but not timing) of multiple pregnancies in their calendar histories, but differ in that women with high contraceptive knowledge, intentions to use contraception, and well-articulated family size ideals are characteristic of one cluster (Family Builder 1), and low contraceptive knowledge, no use of contraception, and vague family size preferences are characteristic of the other (Family Builder 2). These results can guide reproductive health programs as they target social and behavioral change and other interventions to the unique subpopulations they seek to serve.
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