Unmet need for family planning among pastoralist community of West Omo zone, Ethiopia: A community based cross-sectional study.

Abstract

Introduction: Family planning is among the best suggested strategies to decrease the high maternal mortality and morbidity prevailing among pastoral communities. Despite this fact, there is no sufficient information regarding the unmet need for family planning in the study area. Therefore, this study was intended to assess the prevalence of unmet need for family planning and its associated factors among currently married women residing in pastoralist community of West Omo zone, Ethiopia.

Methods: Community-based cross-sectional study was conducted from 01 January to 01 April 2021 in West Omo zone. Five-hundred-sixty currently married women aged 15-49 were interviewed, and the study participants were randomly selected by employing a modified random walk approach. Data were checked manually for completeness and consistency, then entered into Epidata 3.1 and exported to SPSS version 22 for analysis. Multivariate binary logistic regression was used to identify the associated factors, and Adjusted Odds Ratio (AOR) at 95% CI with p-value < 0.05 was considered as significant variables.

Result: A total of 560 currently married women agreed to participate in this study making a response rate of 93.17%. Two hundred three, that is, about 36.3% (95% CI: 32.1, 40.2%) currently married women had an unmet need for family planning, with 119 (58.6%) wishing to delay childbirth and 84 (41.4%) seeking to limit. Have no formal education (AOR = 2.86 (95% CI: 1.61, 5.10)), having poor knowledge of family planning (AOR = 2.83 (95% CI: 1.45, 5.54)), and lack of husband support of family planning (AOR = 2.38 (95% CI: 1.22, 4.67)) are positively associated with unmet need for family planning.

Conclusion: The magnitude of unmet need for family planning in this study is fairly high as compared to previous studies done among non-pastoral community. Hence, it's important to consider the above identified factors while designing effective public health intervention.