Pregnancy intention data completeness, quality and utility in population-based surveys: EN-INDEPTH study

Pregnancy intention data completeness, quality and utility in population-based surveys: EN-INDEPTH study

Abstract Background 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 meas...

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Bibliographic Details
Main Authors: Judith Yargawa, Kazuyo Machiyama, Victoria Ponce Hardy, Yeetey Enuameh, Edward Galiwango, Kassahun Gelaye, Kaiser Mahmud, Sanne M. Thysen, Damazo T. Kadengye, Vladimir Sergeevich Gordeev, Hannah Blencowe, Joy E. Lawn, Angela Baschieri, John Cleland, the Every Newborn-INDEPTH Study Collaborative Group
Format: Article
Language:English
Published: BMC 2021-02-01
Series:Population Health Metrics
Subjects:
Pregnancy intention
Fertility
Measurement
Assessment
Survey
Retrospective reporting
Online Access:https://doi.org/10.1186/s12963-020-00227-y

Internet

https://doi.org/10.1186/s12963-020-00227-y

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