A binary logistic regression model with complex sampling design of unmet need for  family planning among all women aged (15-49) in Ethiopia.

Demeke Lakew Workie, Dereje Tesfaye Zike, Haile Mekonnen Fenta, Mulusew Admasu Mekonnen
Department of Statistics, Bahir Dar University, Bahir Dar, Ethiopia
PMA2020/Ethiopia project, www.pma2020.org/Ethiopia
&
John Snow Inc (JSI) SEUHP/Ethiopia project

Abstract
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.

Keywords: Complex sampling design, Ethiopia, family planning, Performance Monitoring and Accountability, unmet need