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  • 标题:A binary logistic regression model with complex sampling design of unmet need for family planning among all women aged (15-49) in Ethiopia
  • 本地全文:下载
  • 作者:Demeke Lakew Workie ; Dereje Tesfaye Zike ; Haile Mekonnen Fenta
  • 期刊名称:African Health Sciences
  • 印刷版ISSN:1680-6905
  • 电子版ISSN:1729-0503
  • 出版年度:2017
  • 卷号:17
  • 期号:3
  • 页码:637-646
  • DOI:10.4314/ahs.v17i3.6
  • 出版社:Makerere University Medical School(Uganda)
  • 摘要:

    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.

  • 关键词:Complex sampling design; Ethiopia; family planning; Performance Monitoring and Accountability; unmet need
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