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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

التفاصيل البيبلوغرافية
العنوان: 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
المؤلفون: Daniel J. Erchick, Seema Subedi, Andrea Verhulst, Michel Guillot, Linda S. Adair, Aluísio J. D. Barros, Bernard Chasekwa, Parul Christian, Bruna Gonçalves C. da Silva, Mariângela F. Silveira, Pedro C. Hallal, Jean H. Humphrey, Lieven Huybregts, Simon Kariuki, Subarna K. Khatry, Carl Lachat, Alicia Matijasevich, Peter D. McElroy, Ana Maria B. Menezes, Luke C. Mullany, Tita Lorna L. Perez, Penelope A. Phillips-Howard, Dominique Roberfroid, Iná S. Santos, Feiko O. ter Kuile, Thulasiraj D. Ravilla, James M. Tielsch, Lee S. F. Wu, Joanne Katz
المصدر: Population Health Metrics, Vol 21, Iss 1, Pp 1-18 (2023)
بيانات النشر: BMC, 2023.
سنة النشر: 2023
المجموعة: LCC:Computer applications to medicine. Medical informatics
LCC:Public aspects of medicine
مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
الوصف: Abstract Introduction 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1478-7954
44429193
Relation: https://doaj.org/toc/1478-7954
DOI: 10.1186/s12963-023-00309-7
URL الوصول: https://doaj.org/article/f923da2be8274fa3a444291934545612
رقم الأكسشن: edsdoj.f923da2be8274fa3a444291934545612
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14787954
44429193
DOI:10.1186/s12963-023-00309-7