Evidence map›Paper›PMID 29899981›Full record

ArticleJournal of global health2018

Validation of maternal reports for low birthweight and preterm birth indicators in rural Nepal.

Karen T Chang, Luke C Mullany, Subarna K Khatry, Steven C LeClerq, Melinda K Munos, Joanne Katz

Open access · goldAbstract read
In one paragraph

Article in Journal of global health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
19.6field-weighted citation impact, top 1% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.

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  12. Birthweight: EN-BIRTH multi-country validation study.BMC pregnancy and childbirth · 2021
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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

6 authors at 2 institutions in 2 countries.

Karen T ChangDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Luke C MullanyDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Subarna K KhatryNepal Nutrition Intervention Project-Sarlahi, Lalitpur, Nepal.
Steven C LeClerqDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Melinda K MunosDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Joanne KatzDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Johns Hopkins University · USNepal Development Research Institute · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTracking progress towards global newborn health targets depends largely on maternal reported data collected through large, nationally representative surveys. We evaluated the validity, across a range of recall period lengths (1 to 24 months post-delivery), of maternal report of birthweight, birth size and length of pregnancy.

methodsWe compared maternal reports to reference standards of birthweights measured within 72 hours of delivery and gestational age generated from reported first day of the last menstrual period (LMP) prospectively collected as part of a population-based study (n = 1502). We calculated sensitivity, specificity, area the under the receiver operating curve (AUC) as a measure of individual-level accuracy, and the inflation factor (IF) to quantify population-level bias for each indicator. We assessed if length of recall period modified accuracy by stratifying measurements across time bins and using a modified Poisson regression with robust error variance to estimate the relative risk (RR) of correctly classifying newborns as low birthweight (LBW) or preterm, adjusting for child sex, place of delivery, maternal age, maternal education, parity, and ethnicity.

resultsThe LBW indicator using maternally reported birthweight in grams had low individual-level accuracy (AUC = 0.69) and high population-level bias (inflation factor IF = 0.62). LBW using maternally reported birth size and the preterm birth indicator had lower individual-level accuracy (AUC = 0.58 and 0.56, respectively) and higher population-level bias (IF = 0.28 and 0.35, respectively) up to 24 months following birth. Length of recall time did not affect accuracy of LBW indicators. For the preterm birth indicator, accuracy did not change with length of recall up to 20 months after birth and improved slightly beyond 20 months.

conclusionsThe use of maternal reports may underestimate and bias indicators for LBW and preterm birth. In settings with high prevalence of LBW and preterm births, these indicators generated from maternal reports may be more vulnerable to misclassification. In populations where an important proportion of births occur at home or where weight is not routinely measured, mothers perhaps place less importance on remembering size at birth. Further work is needed to explore whether these conclusions on the validity of maternal reports hold in similar rural and low-income settings.

Indexed as

Infant, Low Birth WeightSelf ReportAdultBiasFemaleFollow-Up StudiesHumansInfant, NewbornMaleMental RecallMothersNepalPregnancyPremature BirthReproducibility of ResultsRural Population

Identifiers

PMID29899981
PMCPMC5997365
OpenAlexW2808269163

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.