Open AccessA binary logistic regression model with complex sampling design of unmet need for family planning among all women aged (15-49) in Ethiopia
Author(s) -
Demeke Lakew Workie,
Dereje Tesfaye Zike,
Haile Mekonnen Fenta,
Mulusew Admasu Mekonnen
Publication year - 2017
Publication title -
african health sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.391
H-Index - 44
eISSN - 1729-0503
pISSN - 1680-6905
DOI - 10.4314/ahs.v17i3.6
Subject(s) - family planning , medicine , unintended pregnancy , logistic regression , marital status , stratified sampling , residence , demography , multistage sampling , gerontology , environmental health , population , pathology , sociology , research methodology
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.