Evidence map›Paper›PMID 38066542›Full record

Trial reportJournal of health, population, and nutrition2023

Comparison of pregnancy and neonatal outcomes in a retrospective full pregnancy history survey versus population-based prospective records: a validation study in rural Sarlahi District, Nepal.

Daniel J Erchick, Tsering P Lama, Seema Subedi, Andrea Verhulst, Michel Guillot, Subarna K Khatry, Steven C LeClerq, James M Tielsch, Luke C Mullany, Joanne Katz

Open access · goldAbstract readRandomized Controlled TrialLetter
In one paragraph

Trial report in Journal of health, population, and nutrition, 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
0.6field-weighted citation impact, top 25% of its field
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 citations in OpenAlex.

  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

10 authors at 5 institutions in 3 countries.

Daniel J ErchickDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA. derchick@jhu.edu.
Tsering P LamaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Seema SubediDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Andrea VerhulstCentre d'Estudis Demogràfics (CED-CERCA), Barcelona, Spain.
Michel GuillotUniversity of Pennsylvania, Philadelphia, PA, USA.
Subarna K KhatryNepal Nutrition Intervention Project - Sarlahi, Kathmandu, Nepal.
Steven C LeClerqDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
James M TielschDepartment of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Luke C MullanyApplied Physics Laboratory, Johns Hopkins University, Baltimore, MD, USA.
Joanne KatzDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Johns Hopkins University · USCentre for Demographic Studies · ESInstitut national d'études démographiques · FRJohns Hopkins University Applied Physics Laboratory · USMilken Institute · US

Funding

Sci-Tech Core-Population Dynamics Research CenterP2CHD044964 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI EMILIO ALBERTO PARRADO · 2018 to 2026
$5.3M
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
NICHD NIH HHS P2C HD044964NICHD NIH HHS R01 HD060712NICHD NIH HHS R01 HD090082
6 · The paper itself

Abstract

introductionCountries without complete civil registration and vital statistics systems rely on retrospective full pregnancy history surveys (FPH) to estimate incidence of pregnancy and mortality outcomes, including stillbirth and neonatal death. Yet surveys are subject to biases that impact demographic estimates, and few studies have quantified these effects. We compare data from an FPH vs. prospective records from a population-based cohort to estimate validity for maternal recall of live births, stillbirths, and neonatal deaths in a rural population in Sarlahi District, Nepal.

methodsWe used prospective data, collected through frequent visits of women from early pregnancy through the neonatal period, from a population-based randomized trial spanning 2010-2017. We randomly selected 76 trial participants from three pregnancy outcome groups: live birth (n = 26), stillbirth (n = 25), or neonatal death (n = 25). Data collectors administered the Nepal 2016 Demographic and Health Surveys (DHS)-VII pregnancy history survey between October 22, 2021, and November 18, 2021. We compared total pregnancy outcomes and numbers of pregnancy and neonatal outcomes between the two data sources. We matched pregnancy outcomes dates in the two sources within ± 30 days and calculated measures of validity for adverse outcomes.

resultsAmong 76 participants, we recorded 122 pregnancy outcomes in the prospective data and 104 outcomes in the FPH within ± 30 days of each woman's total observation period in the trial. Among 226 outcomes, we observed 65 live births that survived to 28 days, 25 stillbirths, and 32 live births followed by neonatal death in the prospective data and participants reported 63 live births that survived to 28 days, 15 stillbirths, and 26 live births followed by neonatal death in the pregnancy history survey. Sixty-two FPH outcomes were matched by date within ± 30 days to an outcome in prospective data. Stillbirth, neonatal death, higher parity, and delivery at a health facility were associated with likelihood of a non-matched pregnancy outcome.

conclusionsStillbirth and neonatal deaths were underestimated overall by the FPH, potentially underestimating the burden of mortality in this population. There is a need to develop tools to reduce or adjust for biases and errors in retrospective surveys to improve reporting of pregnancy and mortality outcomes.

Indexed as

Perinatal DeathStillbirthFemaleHumansInfant MortalityInfant, NewbornNepalPregnancyProspective StudiesReproductive HistoryRetrospective StudiesRural Population

Identifiers

PMID38066542
PMCPMC10709973
OpenAlexW4389489178

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.