Background: Reproductive coercion (RC) is a type of abuse where a partner asserts control over a woman's reproductive health trajectories. Recent research emphasizes that RC experiences may differ within and across low- and middle-income countries (LMICs), as compared to higher income contexts, given social pressures surrounding childbearing. To date, nationally representative surveys have lacked comprehensive measures for RC, leading to gaps in understanding its prevalence and risk factors. Across eight LMICs (10 sites), we aimed to (1) validate the RC Scale; (2) calculate prevalence of RC and specific behaviors; and (3) assess correlates of RC.
Methods: This analysis leverages cross-sectional Performance Monitoring for Action (PMA) data collected from November 2020 to May 2022. Analyses were limited to women in need of contraception (Burkina Faso n = 2767; Côte d'Ivoire n = 1561; Kongo Central, Democratic Republic of Congo (DRC) n = 830; Kinshasa, DRC n = 846; Kenya n = 4588; Kano, Nigeria n = 535; Lagos, Nigeria n = 612; Niger n = 1525; Rajasthan, India n = 3017; Uganda n = 2020). Past-year RC was assessed via five items adapted from the original RC Scale and previously tested in LMICs. Confirmatory factor analysis examined fit statistics by site. Per-item and overall prevalence were calculated. Site-specific bivariate and multivariable logistic regression examined RC correlates across the socioecological framework.
Results: Confirmatory factor analysis confirmed goodness of fit across all sites, with moderate internal consistency (alpha range: 0.66 Cote d'Ivoire-0.89 Kinshasa, DRC/Lagos, Nigeria). Past-year reported prevalence of RC was highest in Kongo Central, DRC (20.3%) and lowest in Niger (3.1%). Prevalence of individual items varied substantially by geography. Polygyny was the most common RC risk factor across six sites (adjusted odds ratio (aOR) range: 1.59-10.76). Increased partner education levels were protective in Kenya and Kano, Nigeria (aOR range: 0.23-0.67). Other assessed correlates differed by site.
Conclusions: Understanding RC prevalence and behaviors is central to providing woman-centered reproductive care. RC was most strongly correlated with factors at the partner dyad level; future research is needed to unpack the relative contributions of relationship power dynamics versus cultural norms surrounding childbearing. Family planning services must recognize and respond to women's immediate needs to ensure RC does not alter reproductive trajectories, including vulnerability to unintended pregnancy.
Keywords: Contraception; National data; Reproductive coercion; Violence.
Reproductive coercion (RC) is a type of abuse where a partner asserts control over a woman’s reproductive health trajectories. While RC was conceptualized in the United States, recent research highlights that it may be prominent in other geographies, including sub-Saharan Africa. Existing national surveillance programs, including the Demographic and Health Surveys, have included a single item on RC beginning in 2018. Given the phased approach to Demographic and Health Survey roll-out, no studies have examined this single item across diverse contexts. Further, this single item may miss the range of abusive experiences women face when seeking to manage their fertility. Using annual national cross-sections in 10 diverse contexts (eight countries), we sought to: (1) validate a comprehensive RC measure; (2) calculate prevalence of RC and specific behaviors; (3) understand risk factors for RC across contexts. We found that the comprehensive RC measure performed well across sites. Prevalence of past-year RC was highest in the Kongo Central region of the Democratic Republic of Congo (20.3%) and lowest in Niger (3.1%). Polygynous marriage was associated with increased risk of RC across six sites, whereas increased partner education levels were protective against RC in two sites. Understanding the prevalence of RC within a given context and range of specific abusive behaviors, as well as risk profiles, can help alert local service providers to women’s needs. A thorough understanding of commonalities and divergence of RC experiences and drivers across sites can help inform prevention and response programming to address RC and its health effects.
© 2023. The Author(s).