Structural Determinants in Family Planning Service Utilization in Ethiopia: EDHS 2011 Analysis

Structural Determinants in Family Planning Service Utilization in Ethiopia: EDHS 2011 Analysis

Family planning coverage has improved in Ethiopia in the last decade, though fertility is still about 5.8 in the rural setup. In this paper, the major structural determinants of family planning service were analyzed using a multilevel model from 8906 individual women observation in the 2011 EDHS dat...

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Main Authors: Gizachew Balew, Jembere, Cho, Yongtae, Tammy Kim, Clara, Ko, Woorim
Format: Online
Language:English
Published: Hindawi Publishing Corporation 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4691517/
id pubmed-4691517
recordtype oai_dc
spelling pubmed-46915172016-01-18 Structural Determinants in Family Planning Service Utilization in Ethiopia: EDHS 2011 Analysis Gizachew Balew, Jembere Cho, Yongtae Tammy Kim, Clara Ko, Woorim Research Article Family planning coverage has improved in Ethiopia in the last decade, though fertility is still about 5.8 in the rural setup. In this paper, the major structural determinants of family planning service were analyzed using a multilevel model from 8906 individual women observation in the 2011 EDHS data. The results show that there is a big variation in family planning use both at the individual and between group levels. More than 39% of the variation in FP use is explained by contextual cluster level differences. Most of the socioeconomic predictors; respondent's education, ethnicity, and partners' education as well as employment status and urbanization were found to be significant factors that affect FP use. Similarly health extension visit and media access were found to be strong factors that affect FP service at both individual and cluster levels. This evidence concludes that addressing these contextual factors is very crucial to strengthen FP use and fertility reduction in the nation, beyond individual behavioral changes. Hindawi Publishing Corporation 2015 2015-12-09 /pmc/articles/PMC4691517/ /pubmed/26783520 http://dx.doi.org/10.1155/2015/495745 Text en Copyright © 2015 Jembere Gizachew Balew et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Gizachew Balew, Jembere
Cho, Yongtae
Tammy Kim, Clara
Ko, Woorim
spellingShingle Gizachew Balew, Jembere
Cho, Yongtae
Tammy Kim, Clara
Ko, Woorim
Structural Determinants in Family Planning Service Utilization in Ethiopia: EDHS 2011 Analysis
author_facet Gizachew Balew, Jembere
Cho, Yongtae
Tammy Kim, Clara
Ko, Woorim
author_sort Gizachew Balew, Jembere
title Structural Determinants in Family Planning Service Utilization in Ethiopia: EDHS 2011 Analysis
title_short Structural Determinants in Family Planning Service Utilization in Ethiopia: EDHS 2011 Analysis
title_full Structural Determinants in Family Planning Service Utilization in Ethiopia: EDHS 2011 Analysis
title_fullStr Structural Determinants in Family Planning Service Utilization in Ethiopia: EDHS 2011 Analysis
title_full_unstemmed Structural Determinants in Family Planning Service Utilization in Ethiopia: EDHS 2011 Analysis
title_sort structural determinants in family planning service utilization in ethiopia: edhs 2011 analysis
description Family planning coverage has improved in Ethiopia in the last decade, though fertility is still about 5.8 in the rural setup. In this paper, the major structural determinants of family planning service were analyzed using a multilevel model from 8906 individual women observation in the 2011 EDHS data. The results show that there is a big variation in family planning use both at the individual and between group levels. More than 39% of the variation in FP use is explained by contextual cluster level differences. Most of the socioeconomic predictors; respondent's education, ethnicity, and partners' education as well as employment status and urbanization were found to be significant factors that affect FP use. Similarly health extension visit and media access were found to be strong factors that affect FP service at both individual and cluster levels. This evidence concludes that addressing these contextual factors is very crucial to strengthen FP use and fertility reduction in the nation, beyond individual behavioral changes.
publisher Hindawi Publishing Corporation
publishDate 2015
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4691517/
_version_ 1613516898917416960

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