Evidence map›Paper›PMID 32914335›Full record

ArticleDemography2020

Biases in Survey Estimates of Neonatal Mortality: Results From a Validation Study in Urban Areas of Guinea-Bissau.

Stéphane Helleringer, Li Liu, Yue Chu, Amabelia Rodrigues, Ane Barent Fisker

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Demography, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
11.1field-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

22 citing papers in PubMed, 44 citations in OpenAlex.

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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

5 authors at 5 institutions in 4 countries.

Stéphane HelleringerDivision of Social Science Program on Social Research and Public Policy, New York University - Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates. sh199@nyu.edu.
Li LiuDepartment of Population, Family and Reproductive Health, Bloomberg School of Public Health, Johns Hopkins University, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Yue ChuDepartment of Sociology, The Ohio State University, Columbus, OH, USA.
Amabelia RodriguesBandim Health Project, Bissau, Guinea-Bissau.
Ane Barent FiskerBandim Health Project, Bissau, Guinea-Bissau.
Bandim Health Project · GWJohns Hopkins University · USNew York University Abu Dhabi · AEThe Ohio State University · USUniversity of Southern Denmark · DK

Funding

Improving the measurement of adolescent and adult mortality in low-income countriesR01HD088516 · NICHD · NEW YORK UNIVERSITY · PI HELLERINGER, STEPHANE · 2017 to 2020
$2.2M
Improving survey data on births and neonatal deaths in low-income countriesR21HD087811 · NICHD · JOHNS HOPKINS UNIVERSITY · PI HELLERINGER, STEPHANE · 2016 to 2017
$401k
NICHD NIH HHS R01 HD088516NICHD NIH HHS R21 HD087811
6 · The paper itself

Abstract

Neonatal deaths (occurring within 28 days of birth) account for close to one-half of all deaths among children under age 5 worldwide. In most low- and middle-income countries, data on neonatal deaths come primarily from household surveys. We conducted a validation study of survey data on neonatal mortality in Guinea-Bissau (West Africa). We used records from an urban health and demographic surveillance system (HDSS) that monitors child survival prospectively as our reference data set. We selected a stratified sample of 599 women aged 15-49 among residents of the HDSS and collected the birth histories of 422 participants. We cross-tabulated survey and HDSS data. We used a mathematical model to investigate biases in survey estimates of neonatal mortality. Reporting errors in survey data might lead to estimates of the neonatal mortality rate that are too high, which may limit our ability to track progress toward global health objectives.

Indexed as

AdolescentAdultData CollectionFemaleGuinea-BissauHealth SurveysHumansInfantInfant, NewbornMiddle AgedPerinatal MortalityReproducibility of ResultsSocioeconomic FactorsUrban PopulationYoung AdultMeasurement errorNeonatal mortalityStillbirthsSurvey dataSustainable Development Goals

Identifiers

PMID32914335
OpenAlexW3086079380

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.