Contraceptive Adoption and Changes in Empowerment in Kenya, Nigeria, and Senegal.

Women's empowerment and contraceptive use are critical to achieving gender equality. The positive association between more empowered women and higher rates of contraceptive use has been well-established by cross-sectional research. However, there remains a gap in understanding the longitudinal relationship between contraceptive adoption and changes to women's empowerment. This study represents a novel approach to understanding the relationship between contraceptive adoption and women's empowerment longitudinally, at the individual level. To the authors' knowledge, this is the first attempt to measure the relationship between contraceptive adoption and women's empowerment using more than one wave of panel data. We leverage the longitudinal design of the Urban Reproductive Health Initiative data to code empowerment items by change over time (e.g., more empowered, no change, less empowered). We use sparse principal component analysis to establish empowerment change domains and calculate individual scores standardized by country-level averages. We estimate mixed effects models on these change domains, to investigate the link between contraceptive adoption and empowerment. We find common themes in empowerment across contexts-but contraceptive adoption has both positive and negative effects on those domains, and this varies across context. We discuss the need for cohort studies to examine this relationship.

The relationship between interviewer-respondent familiarity and family planning outcomes in the Democratic Republic of Congo: a repeat cross-sectional analysis.

OBJECTIVES: The typical approach of survey data collection is to use interviewers who are not from the study site and do not know the participants, yet the implications of this approach on data quality have seldom been investigated. We examine the relationship between interviewer-respondent familiarity and selected family planning outcomes, and whether this relationship changes over time between 2015 and 2016. SETTING: We use data from the Performance Monitoring and Accountability 2020 Project in Kongo Central Province, Democratic Republic of Congo. PARTICIPANTS: Participants include representative samples of women of reproductive ages (15 to 49), 1565 interviewed in 2015 and 1668 in 2016. The study used a two-stage cluster design: first randomly selecting enumeration areas (EAs), then randomly selecting households within each EA. DESIGN: We first identify individual characteristics associated with familiarity between RE and respondent. Next, we examine the relationship between RE-respondent acquaintance and family planning outcomes. Finally, we use two waves of data to examine whether this relationship changes over time between 2015 and 2016. RESULTS: In multivariate analysis, interviewer-respondent acquaintance is significantly associated with last birth unintended (OR 1.91, 95% CI 1.17 to 3.13) and reported infertility in 2015 (OR 2.26, 95% CI 1.03 to 4.95); and any contraceptive use (OR 1.51, 95% CI 1.01 to 2.28), traditional contraceptive use (OR 1.79, 95% CI 1.10 to 2.89), reported infidelity (OR 1.89, 95% CI 1.02 to 3.49) and age at first sex (coefficient -0.48, 95% CI -0.96 to -0.01) in 2016. The impact of acquaintance on survey responses changed over time for any contraceptive use (OR 2.09, 95% CI 1.33 to 3.30). CONCLUSIONS: The standard in many large-scale surveys is to use interviewers from outside the community. Our results show that interviewer-respondent acquaintance is associated with a range of family planning outcomes; therefore, we recommend that the approach to hiring interviewers be examined and reconsidered in survey data collection efforts.