Evidence map›Paper›PMID 33557871›Full record

ArticlePopulation health metrics2021

Neonatal and child mortality data in retrospective population-based surveys compared with prospective demographic surveillance: EN-INDEPTH study.

Tryphena Nareeba, Francis Dzabeng, Nurul Alam, Gashaw A Biks, Sanne M Thysen, Joseph Akuze, Hannah Blencowe, Stephane Helleringer, Joy E Lawn, Kaiser Mahmud and 3 more

Abstract read
In one paragraph

Article in Population health metrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
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  3. Observational
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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

13 authors.

Tryphena Nareeba *IgangaMayuge Health and Demographic Surveillance System, Makerere University Centre for Health and Population Research, Iganga, Uganda.
Francis Dzabeng *Kintampo Health Research Centre, Kintampo, Ghana.
Nurul Alam *Health Systems and Population Studies Division, icddr,b, Dhaka, Bangladesh.
Gashaw A Biks *Dabat Research Centre Health and Demographic Surveillance System, Dabat, Ethiopia.
Sanne M Thysen *Bandim Health Project, Bissau, Guinea-Bissau.
Joseph AkuzeMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
Hannah BlencoweMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
Stephane HelleringerDivision of Social Science, New York University-Abu Dhabi, Abu Dhabi, United Arab Emirates.
Joy E LawnMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
Kaiser MahmudHealth Systems and Population Studies Division, icddr,b, Dhaka, Bangladesh.
Temesgen Azemeraw YitayewDabat Research Centre Health and Demographic Surveillance System, Dabat, Ethiopia.
Ane B FiskerBandim Health Project, Bissau, Guinea-Bissau. a.fisker@bandim.org.
the Every Newborn-INDEPTH Study Collaborative Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobal mortality estimates remain heavily dependent on household surveys in low- and middle-income countries, where most under-five deaths occur. Few studies have assessed the accuracy of mortality data or determinants of capturing births in surveys.

methodsThe Every Newborn-INDEPTH study (EN-INDEPTH) included a large, multi-country survey of women aged 15-49 interviewed about livebirths and their survival status in five Health and Demographic Surveillance Systems (HDSSs). The HDSSs undertake regular household visits to register births and deaths for a given population. We analysed EN-INDEPTH survey data to assess background factors associated with not recalling a complete date-of-birth. We calculated Kaplan-Meier survival estimates for both survey and HDSS data and describe age-at-death distributions during the past 5 years for children born to the same women. We assessed the proportion of HDSS-births that could be matched on month-of-birth to survey-births and used regression models to identify factors associated with matching.

results69,176 women interviewed in the survey reported 109,817 births and 3064 deaths in children under 5 years in the 5 years prior to the survey. In the HDSS data, the same women had 83,768 registered births and 2335 under-five deaths in the same period. A complete date-of-birth was not reported for 1-7% of survey-births. Birthdates were less likely to be complete for dead children and children born to women of higher parity or with little/no education. Distributions of reported age-at-death indicated heaping at full weeks (neonatal period) and at 12 months. Heaping was more pronounced in the survey data. Survey estimates of under-five mortality rates were similar to HDSS estimates of under-five mortality in two of five sites, higher in the survey in two sites (15%, 41%) and lower (24%) in one site. The proportion of HDSS-births matched to survey-births ranged from 51 to 89% across HDSSs and births of children who had died were less likely to be matched.

conclusionsMortality estimates in the survey and HDSS were not markedly different for most sites. However, neither source is a "gold standard" and both sources miss some events. Research is required to improve capture and accuracy to better track newborn and child survival targets.

Indexed as

Child MortalityInfant MortalityChildChild, PreschoolFamily CharacteristicsFemaleHumansInfantInfant, NewbornPregnancyProspective StudiesRetrospective StudiesChild mortalityInfant mortalityNeonatal mortalitySurvey

Identifiers

PMID33557871
PMCPMC7869220

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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.