Quality of vital event data for infant mortality estimation in prospective, population-based studies: an analysis of secondary data from Asia, Africa, and Latin America

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cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationJohns Hopkins Universityen
cg.contributor.affiliationUniversity of Pennsylvaniaen
cg.contributor.affiliationUniversity of North Carolinaen
cg.contributor.affiliationFederal University of Pelotasen
cg.contributor.affiliationInternational Food Policy Research Instituteen
cg.contributor.donorBill & Melinda Gates Foundationen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeSustainable Healthy Diets
cg.coverage.regionAfrica
cg.coverage.regionAsia
cg.coverage.regionLatin America
cg.creator.identifierLieven Huybregts: 0000-0002-3068-2853
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1186/s12963-023-00309-7en
cg.identifier.projectIFPRI - Nutrition, Diets, and Health Unit
cg.identifier.projectIFPRI - Systems Transformation - Food and Nutrition Policy
cg.identifier.publicationRankB
cg.isijournalISI Journalen
cg.issn1478-7954en
cg.issue1en
cg.journalPopulation Health Metricsen
cg.number21:10en
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaSystems Transformation
cg.subject.impactAreaNutrition, health and food security
cg.volume21en
dc.contributor.authorErchick, Daniel J.en
dc.contributor.authorSubedi, Seemaen
dc.contributor.authorVerhulst, Andreaen
dc.contributor.authorGuillot, Michelen
dc.contributor.authorAdair, Linda S.en
dc.contributor.authorBarros, Aluísio J. D.en
dc.contributor.authorHuybregts, Lievenen
dc.date.accessioned2023-08-04T20:55:58Zen
dc.date.available2023-08-04T20:55:58Zen
dc.identifier.urihttps://hdl.handle.net/10568/131400
dc.titleQuality of vital event data for infant mortality estimation in prospective, population-based studies: an analysis of secondary data from Asia, Africa, and Latin Americaen
dcterms.abstractIntroduction Infant and neonatal mortality estimates are typically derived from retrospective birth histories collected through surveys in countries with unreliable civil registration and vital statistics systems. Yet such data are subject to biases, including under-reporting of deaths and age misreporting, which impact mortality estimates. Prospective population-based cohort studies are an underutilized data source for mortality estimation that may offer strengths that avoid biases. Methods We conducted a secondary analysis of data from the Child Health Epidemiology Reference Group, including 11 population-based pregnancy or birth cohort studies, to evaluate the appropriateness of vital event data for mortality estimation. Analyses were descriptive, summarizing study designs, populations, protocols, and internal checks to assess their impact on data quality. We calculated infant and neonatal morality rates and compared patterns with Demographic and Health Survey (DHS) data. Results Studies yielded 71,760 pregnant women and 85,095 live births. Specific field protocols, especially pregnancy enrollment, limited exclusion criteria, and frequent follow-up visits after delivery, led to higher birth outcome ascertainment and fewer missing deaths. Most studies had low follow-up loss in pregnancy and the first month with little evidence of date heaping. Among studies in Asia and Latin America, neonatal mortality rates (NMR) were similar to DHS, while several studies in Sub-Saharan Africa had lower NMRs than DHS. Infant mortality varied by study and region between sources. Conclusions Prospective, population-based cohort studies following rigorous protocols can yield high-quality vital event data to improve characterization of detailed mortality patterns of infants in low- and middle-income countries, especially in the early neonatal period where mortality risk is highest and changes rapidly.en
dcterms.accessRightsOpen Access
dcterms.audienceAcademicsen
dcterms.available2023-07-28
dcterms.bibliographicCitationErchick, Daniel J.; Subedi, Seema; Verhulst, Andrea; Guillot, Michel; Adair, Linda S.; Huybregts, Lieven; et al. 2023. Quality of vital event data for infant mortality estimation in prospective, population-based studies: an analysis of secondary data from Asia, Africa, and Latin America. Population Health Metrics 21:10. https://doi.org/10.1186/s12963-023-00309-7en
dcterms.isPartOfPopulation Health Metricsen
dcterms.issued2023
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherSpringeren
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll5/id/8825en
dcterms.subjectdataen
dcterms.subjectdata analysisen
dcterms.subjectinfantsen
dcterms.subjectmortalityen
dcterms.subjectsurveysen
dcterms.typeJournal Article

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