Evidence map›Paper›PMID 37507749›Full record

ArticlePopulation health metrics2023

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.

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 and 19 more

Abstract read
In one paragraph

Article in Population health metrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

Daniel J ErchickDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA. derchick@jhu.edu.
Seema SubediDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Andrea VerhulstPopulation Studies Center, University of Pennsylvania, Philadelphia, PA, USA.
Michel GuillotPopulation Studies Center, University of Pennsylvania, Philadelphia, PA, USA.
Linda S AdairCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Aluísio J D BarrosPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
Bernard ChasekwaZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Parul ChristianDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Bruna Gonçalves C da SilvaPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
Mariângela F SilveiraPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
Pedro C HallalPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
Jean H HumphreyDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Lieven HuybregtsPoverty, Health and Nutrition Division, International Food Policy Research Institute, Washington, DC, USA.
Simon KariukiKenya Medical Research Institute/Centre for Global Health Research, Kisumu, Kenya.
Subarna K KhatryNepal Nutrition Intervention Project - Sarlahi, Kathmandu, Nepal.
Carl LachatDepartment of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Alicia MatijasevichDepartment of Preventive Medicine, Faculty of Medicine FMUSP, University of São Paulo, São Paulo, Brazil.
Peter D McElroyMalaria Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Ana Maria B MenezesPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
Luke C MullanyDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Tita Lorna L PerezUSC-Office of Population Studies Foundation, University of San Carlos, Cebu City, Philippines.
Penelope A Phillips-HowardFaculty of Medicine, Namur University, Namur, Belgium.
Dominique RoberfroidFaculty of Medicine, Namur University, Namur, Belgium.
Iná S SantosPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
Feiko O Ter KuileDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, UK.
Thulasiraj D RavillaAravind Eye Care System, Madurai, India.
James M TielschDepartment of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Lee S F WuDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Joanne KatzDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Global Age Patterns of Under-Five MortalityR01HD090082 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI GUILLOT, MICHEL · 2017 to 2021
$3.6M
Impact of Sunflower Oil Massage on Neonatal Mortality in NepalR01HD060712 · NICHD · JOHNS HOPKINS UNIVERSITY · PI MULLANY, LUKE C · 2009 to 2013
$2.9M
Bill & Melinda Gates Foundation OPP1084399NICHD NIH HHS HD060712NICHD NIH HHS NICHD 1R01HD090082-01NICHD NIH HHS P2C HD050924NICHD NIH HHS R01 HD060712NICHD NIH HHS R01 HD090082
6 · The paper itself

Abstract

introductionInfant 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.

methodsWe 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.

resultsStudies 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.

conclusionsProspective, 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.

Indexed as

Infant MortalityPerinatal DeathAfrica South of the SaharaAsiaChildFemaleHumansInfantInfant, NewbornLatin AmericaPregnancyProspective StudiesRetrospective Studies

Identifiers

PMID37507749
PMCPMC10375772

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.