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    This study presents a new dataset on contraceptive use in sub-Saharan Africa, examining both modern and traditional methods. It offers insights into user motivations and contraceptive dynamics, including nonuse.

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    Area of Science:

    • Reproductive Health
    • Demography
    • Anthropology

    Background:

    • Understanding contraceptive method use in sub-Saharan Africa is crucial for reproductive health.
    • Existing data may not fully capture the nuances of traditional and modern contraceptive method adoption and motivations.
    • The Re-Examining Traditional Method Use (TEAM-UP) project addresses this gap.

    Purpose of the Study:

    • To introduce and describe a novel, comprehensive dataset on contraceptive method use in four sub-Saharan African countries.
    • To enable detailed analysis of modern and non-modern contraceptive method use, motivations, and user experiences.
    • To investigate contraceptive use dynamics, including nonuse, across diverse populations.

    Main Methods:

    • The TEAM-UP project collected data through four stages: qualitative pilots (focus groups, key informant interviews), quantitative pilots, large-scale women's surveys, and follow-up qualitative in-depth interviews.
    • Data were collected in the Democratic Republic of Congo, Ghana, Kenya, and Nigeria.
    • The dataset comprises quantitative and qualitative components, offering a mixed-methods approach.

    Main Results:

    • The dataset provides rich information on the measurement and motivations for using both modern and non-modern contraceptive methods.
    • It allows for the examination of methodological impacts on reporting and prevalence estimates of contraceptive use.
    • User experiences and motivations related to traditional and folkloric methods are detailed, alongside broader contraceptive use dynamics.

    Conclusions:

    • The TEAM-UP dataset offers a valuable resource for researchers studying contraceptive behavior in sub-Saharan Africa.
    • Findings can inform public health interventions and improve understanding of reproductive health choices.
    • The data facilitate comprehensive analyses of contraceptive method dynamics, contributing to evidence-based policy.