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...
| Published in: | BioMed Research International Vol. 2015; pp. 1 - 18 |
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| Main Authors: | , , , |
| Format: | equations & formulas research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
12/9/2015
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=113630181&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 113630181 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 12/9/2015 vid: 2015 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 113630181 113630181 113630181 10.1155/2015/495745 113630181 ppf: 1 ppct: 17 formats: fmt: @attributes: type: P tig: atl: Structural Determinants in Family Planning Service Utilization in Ethiopia: EDHS 2011 Analysis. aug: au: Gizachew Balew, Jembere Cho, Yongtae Tammy Kim, Clara Ko, Woorim affil: Seoul National University, Republic of Korea sug: subj: Family Planning Utilization Socioeconomic Factors Ethiopia Human Female Ethiopia Secondary Analysis Female ab: 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. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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