Family Planning Use and Associated Factors Among Pastoralist Community of Afar region, Eastern Ethiopia

Abstract

Background: Ethiopia is the second most populous country in Africa with a total fertility rate (TFR) of 4.8 children per a woman and contraceptive prevalence rate (CPR) of 29 %. The overall prevalence of modern family planning in a pastoralist community, like Afar region, is low (9.1 %). This study aimed to assess family planning utilization and associated factors among married women of Afar region, Eastern Ethiopia. Methods: A community-based cross-sectional study was conducted from January 10-28, 2013 among 602 women. Multistage sampling technique was used to select the study participants. Descriptive and multiple variable logistic regression analyses were done to isolate independent predictors on utilization of family planning using SPSS 20. Results: The overall prevalence of family planning utilization in Afar region was 8.5 % (6.2–10.7). Majority of the women (92.2 %) had used injectable. The most common reasons mentioned in the non-use of family planning methods were religion-related (85.3 %), desire to have more children (75.3 %), and husband's objection (70.1 %). Women who had a positive attitude towards family planning utilization (AOR = 4.7, 95 % CI: 2.1, 10.3), owning radio (AOR = 1.8, 95 % CI: 1.02, 4.18), and literate (AOR = 4.4, 95 % CI: 1.80, 11.08) were more likely to use family planning methods as compared to their counterparts. The increase of monthly income was also associated with the likelihood of family planning methods utilization. The odds of using family planning methods were higher among those with monthly income of $27–$55.5 (AOR = 2. 0, 95 % CI: 1.9, 4.7) and > $55 (AOR = 4. 6, 95 % CI: 1.23–17.19) as compared to women with the lowest category of monthly income ($27 and less). Conclusion: The low coverage of family planning in the region could be due to the influence of husband, religious and clan leader. Attitude of women towards family planning methods, possession of radio, monthly income, and educational status could influence family planning utilization.