Individual- And country-level correlates of female permanent contraception use in sub-Saharan Africa

Abstract

Background Female permanent contraception is a cost-effective contraceptive method that can help clients with the desire to limit childbearing achieve their reproductive intention. However, despite its benefits, the use of FPC remains low in sub-Saharan Africa (SSA), and limited studies have examined the correlates of its uptake. In this study, we assessed the individualand country-level factors associated with the use of FPC among married or in-union women using modern contraceptive methods to limit childbearing in SSA. Methods This study was a secondary data analysis of individual- and country-level data obtained from the Demographic and Health Surveys (DHS) Program and three open data repositories. The study included 29, 777 married or in-union women aged 15-49 years using modern contraceptive methods to limit childbearing from DHS conducted in 33 sub-Sahara African countries between 2010 and 2018. We performed descriptive statistics and fitted multilevel logistic regression models to determine the predisposing, enabling, and need factors associated with the use of FPC. Results Approximately 13% of the women used FPC. About 20% of the variance in the odds of using FPC was attributable to between-country differences. In the full model, the significant individual- level factors associated with the use of FPC compared with other modern contraceptive methods were: age (odds ratio [OR] = 1.10; 95%CI = 1.08-1.12), living children (OR = 1.11, 95%CI = 1.04-1.16), high household wealth (OR = 1.39, 95%CI = 1.18-1.64), rural residence (OR = 0.83, 95% CI = 0.71-0.97), joint contraceptive decision with partner (OR = 1.68, 95% = 1.43-1.99), contraceptive decision by partner and others (OR = 2.46, 95% = 1.97-3.07), and the number of living children less than the ideal number of children (OR = 1.40, 95%CI = 1.21-1.62). The significantly associated country-level factors were births attended by skilled health providers (OR = 1.03, 95%CI = 1.00-1.05) and density of medical doctors (OR = 1.37, 95%CI = 1.01-1.85). Conclusions Our results suggest that both individual- and country-level factors affect uptake of FPC in SSA. Increasing geographic, economic, and psychosocial access to FPC may improve its uptake in SSA.