- Carie Cox, St. Catherine University
- Chelsea Polis, Johns Hopkins University
- Ozge Tuncalp, Johns Hopkins University
- Alexander McLain, University of South Carolina
- Marie Thoma, Independent Consultant
Addressing the causes, prevalence, and sequelae of infertility in low- and middle-income countries is a critical and understudied concern in sexual and reproductive health. An important step towards addressing infertility is to improve our ability to more accurately estimate its prevalence. The current duration approach, which estimates the total length of pregnancy attempt from cross-sectional data, has been applied in high-income country settings, and has generated prevalence estimates consistent with prospective cohort studies. Using nationally representative Demographic and Health Survey (DHS) data from Nigeria (2013), the authors aim to 1) determine criteria necessary to apply a current duration approach to measuring infertility using DHS data and 2) explore the impact of underlying assumptions in the context of a low contraceptive prevalence population. Findings could expand options for estimating infertility in low- and middle-income countries and identify ways to improve survey questions to increase our confidence in the assumptions underlying these estimates.