African Health Sciences
Makerere University Medical School
Vol. 17, No. 3, 2017, pp. 637-646
Bioline Code: hs17082
Full paper language: English
Document type: Study
Document available free of charge
African Health Sciences, Vol. 17, No. 3, 2017, pp. 637-646
© Copyright 2017 - African Health Sciences
A binary logistic regression model with complex sampling design of unmet need for family planning among all women aged (15-49) in Ethiopia.|
Workie, Demeke Lakew; Zike, Dereje Tesfaye; Fenta, Haile Mekonnen & Mekonnen, Mulusew Admasu
Background: Unintended pregnancy related to unmet need is a worldwide problem that affects societies. The main objective of this study was to identify the prevalence and determinants of unmet need for family planning among women aged (15-49) in Ethiopia.
Methods: The Performance Monitoring and Accountability2020/Ethiopia was conducted in April 2016 at round-4 from 7494 women with two-stage-stratified sampling. Bi-variable and multi-variable binary logistic regression model with complex sampling design was fitted.
Results: The prevalence of unmet-need for family planning was 16.2% in Ethiopia. Women between the age range of 15-24 years were 2.266 times more likely to have unmet need family planning compared to above 35 years. Women who were currently married were about 8 times more likely to have unmet need family planning compared to never married women. Women who had no under-five child were 0.125 times less likely to have unmet need family planning compared to those who had more than two-under-5.
Conclusion: The key determinants of unmet need family planning in Ethiopia were residence, age, marital-status, education, household members, birth-events and number of under-5 children. Thus the Government of Ethiopia would take immediate steps to address the causes of high unmet need for family planning among women.
Complex sampling design; Ethiopia, family planning; Performance Monitoring and Accountability; unmet need