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

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

Published
2017-09-18
Section
Articles

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eISSN: 1680-6905