Pregnancy intention data completeness, quality and utility in population-based surveys: EN-INDEPTH s...
Pregnancy intention data completeness, quality and utility in population-based surveys: EN-INDEPTH study
About this item
Full title
Author / Creator
Yargawa, Judith , Machiyama, Kazuyo , Ponce Hardy, Victoria , Enuameh, Yeetey , Galiwango, Edward , Gelaye, Kassahun , Mahmud, Kaiser , Thysen, Sanne M. , Kadengye, Damazo T. , Gordeev, Vladimir Sergeevich , Blencowe, Hannah , Lawn, Joy E. , Baschieri, Angela , Cleland, John , the Every Newborn-INDEPTH Study Collaborative Group and Every Newborn-INDEPTH Study Collaborative Group
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
An estimated 40% of pregnancies globally are unintended. Measurement of pregnancy intention in low- and middle-income countries relies heavily on surveys, notably Demographic and Health Surveys (DHS), yet few studies have evaluated survey questions. We examined questions for measuring pregnancy intention, which are already in the DHS, and additiona...
Alternative Titles
Full title
Pregnancy intention data completeness, quality and utility in population-based surveys: EN-INDEPTH study
Authors, Artists and Contributors
Author / Creator
Machiyama, Kazuyo
Ponce Hardy, Victoria
Enuameh, Yeetey
Galiwango, Edward
Gelaye, Kassahun
Mahmud, Kaiser
Thysen, Sanne M.
Kadengye, Damazo T.
Gordeev, Vladimir Sergeevich
Blencowe, Hannah
Lawn, Joy E.
Baschieri, Angela
Cleland, John
the Every Newborn-INDEPTH Study Collaborative Group
Every Newborn-INDEPTH Study Collaborative Group
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_48b1fe9090cb4464a9984b7da6479f7a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_48b1fe9090cb4464a9984b7da6479f7a
Other Identifiers
ISSN
1478-7954
E-ISSN
1478-7954
DOI
10.1186/s12963-020-00227-y
