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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.
Erchick, Daniel J; Subedi, Seema; Verhulst, Andrea; Guillot, Michel; Adair, Linda S; Barros, Aluísio J D; Chasekwa, Bernard; Christian, Parul; da Silva, Bruna Gonçalves C; Silveira, Mariângela F; Hallal, Pedro C; Humphrey, Jean H; Huybregts, Lieven; Kariuki, Simon; Khatry, Subarna K; Lachat, Carl; Matijasevich, Alicia; McElroy, Peter D; Menezes, Ana Maria B; Mullany, Luke C; Perez, Tita Lorna L; Phillips-Howard, Penelope A; Roberfroid, Dominique; Santos, Iná S; Ter Kuile, Feiko O; Ravilla, Thulasiraj D; Tielsch, James M; Wu, Lee S F; Katz, Joanne.
Affiliation
  • Erchick DJ; Department of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA. derchick@jhu.edu.
  • Subedi S; Department of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
  • Verhulst A; Population Studies Center, University of Pennsylvania, Philadelphia, PA, USA.
  • Guillot M; Population Studies Center, University of Pennsylvania, Philadelphia, PA, USA.
  • Adair LS; Department of Sociology, University of Pennsylvania, Philadelphia, PA, USA.
  • Barros AJD; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Chasekwa B; Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
  • Christian P; Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
  • da Silva BGC; Department of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
  • Silveira MF; Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
  • Hallal PC; Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
  • Humphrey JH; Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
  • Huybregts L; Department of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
  • Kariuki S; Poverty, Health and Nutrition Division, International Food Policy Research Institute, Washington, DC, USA.
  • Khatry SK; Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
  • Lachat C; Kenya Medical Research Institute/Centre for Global Health Research, Kisumu, Kenya.
  • Matijasevich A; Nepal Nutrition Intervention Project - Sarlahi, Kathmandu, Nepal.
  • McElroy PD; Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
  • Menezes AMB; Department of Preventive Medicine, Faculty of Medicine FMUSP, University of São Paulo, São Paulo, Brazil.
  • Mullany LC; Malaria Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Perez TLL; Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
  • Phillips-Howard PA; Department of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
  • Roberfroid D; USC-Office of Population Studies Foundation, University of San Carlos, Cebu City, Philippines.
  • Santos IS; Faculty of Medicine, Namur University, Namur, Belgium.
  • Ter Kuile FO; Faculty of Medicine, Namur University, Namur, Belgium.
  • Ravilla TD; Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
  • Tielsch JM; Department of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, UK.
  • Wu LSF; Aravind Eye Care System, Madurai, India.
  • Katz J; Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Popul Health Metr ; 21(1): 10, 2023 07 28.
Article in En | MEDLINE | ID: mdl-37507749
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Infant Mortality / Perinatal Death Type of study: Observational_studies / Risk_factors_studies Limits: Child / Female / Humans / Infant / Newborn / Pregnancy Country/Region as subject: Africa / Asia Language: En Journal: Popul Health Metr Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Infant Mortality / Perinatal Death Type of study: Observational_studies / Risk_factors_studies Limits: Child / Female / Humans / Infant / Newborn / Pregnancy Country/Region as subject: Africa / Asia Language: En Journal: Popul Health Metr Year: 2023 Document type: Article Affiliation country: Country of publication: