Family planning researchers have been studying the discontinuation of contraception-the prevalence and reasons for it-for decades, as it has implications for contraceptive prevalence, total fertility, and unintended fertility. However little is known about the reliability of contraceptive discontinuation reporting: only two studies have examined the reliability of reported discontinuation in low-resource contexts. We use longitudinal and overlapping data from reproductive calendars to test the reliability of women's reporting of contraceptive discontinuation in Burkina Faso, Kenya, and Uganda.
View Article and Find Full Text PDFObjectives: Qualitative research suggests that covert users may be more likely to discontinue contraception due to the logistics of discretion and fear of disclosure. This study sought to quantify whether covert users are more likely to discontinue contraception than overt users.
Study Design: We used a national longitudinal survey from Kenya conducted from November 2019/February 2020 to November 2020/April 2021 to test whether the time to discontinuation between covert and overt users still in need of contraception differed using survival analyses over a period of 5 years since method initiation.
The determinants of fertility typically feature demand as the key motivation driver for contraceptive use. Yet relatively little is known about the extent to which demand for contraception predicts future contraceptive use, primarily due to the lack of longitudinal data that captures these measures at different time points. Two ways in which demand is often measured are unmet need and intention to use.
View Article and Find Full Text PDFBackground: Approximately 15 % of all deaths in Africa among children under five years old are due to malaria, a preventable and treatable disease. A prevailing sociological theory holds that resources (including knowledge, money, power, prestige, or beneficial social connections) are particularly relevant when diseases are susceptible to effective prevention. This study examines the role of socioeconomic inequalities by broadly predicting malaria knowledge and use of preventive technology among women aged 15-49, and malaria among children aged 6-59 months in Madagascar.
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