Social network-based measurement of abortion incidence: promising findings from population-based surveys in Nigeria, Cote d’Ivoire, and Rajasthan, India

dc.contributor.authorBell, Suzanne O.
dc.contributor.authorShankar, Mridula
dc.contributor.authorOmoluabi, Elizabeth
dc.date.accessioned2021-01-04T11:45:28Z
dc.date.available2021-01-04T11:45:28Z
dc.date.issued2020
dc.description.abstractBackground: Monitoring abortion rates is highly relevant for demographic and public health considerations, yet its reliable estimation is fraught with uncertainty due to lack of complete national health facility service statistics and bias in self-reported survey data. In this study, we aim to test the confidante methodology for estimating abortion incidence rates in Nigeria, Cote d’Ivoire, and Rajasthan, India, and develop methods to adjust for violations of assumptions. Methods: In population-based surveys in each setting, female respondents of reproductive age reported separately on their two closest confidantes’ experience with abortion, in addition to reporting about their own experiences. We used descriptive analyses and design-based F tests to test for violations of method assumptions. Using post hoc analytical techniques, we corrected for biases in the confidante sample to improve the validity and precision of the abortion incidence estimates produced from these data.en_US
dc.identifier.citationBell, S. O. et al. (2020). Social network-based measurement of abortion incidence: promising findings from population-based surveys in Nigeria, Cote d’Ivoire, and Rajasthan, India. Population Health Metrics, 18(1),28en_US
dc.identifier.issn1478-7954
dc.identifier.uri10.1186/s12963-020-00235-y
dc.identifier.urihttp://hdl.handle.net/10566/5536
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.subjectAbortionen_US
dc.subjectMeasurementen_US
dc.subjectSurveyen_US
dc.subjectNigeriaen_US
dc.subjectWomenen_US
dc.titleSocial network-based measurement of abortion incidence: promising findings from population-based surveys in Nigeria, Cote d’Ivoire, and Rajasthan, Indiaen_US
dc.typeArticleen_US

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