Evidence map›Paper›PMID 33557874›Full record

ArticlePopulation health metrics2021

Stillbirth maternity care measurement and associated factors in population-based surveys: EN-INDEPTH study.

Lydia Di Stefano, Matteo Bottecchia, Judith Yargawa, Joseph Akuze, M Moinuddin Haider, Edward Galiwango, Francis Dzabeng, Ane B Fisker, Bisrat Misganaw Geremew, Simon Cousens and 4 more

Open access · goldAbstract 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 14 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

14 authors at 6 institutions in 8 countries.

Lydia Di StefanoMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
Matteo BottecchiaMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
Judith YargawaMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
Joseph AkuzeMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
M Moinuddin HaiderHealth Systems and Population Studies Division, icddr,b, Dhaka, Bangladesh.
Edward GaliwangoIgangaMayuge Health and Demographic Surveillance System, Makerere University Centre for Health and Population Research, Makerere, Uganda.
Francis DzabengKintampo Health Research Centre, Kintampo, Ghana.
Ane B FiskerBandim Health Project, Bissau, Guinea-Bissau.
Bisrat Misganaw GeremewDepartment of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Simon CousensMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
Joy E LawnMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
Hannah Blencowe *Maternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK. hannah.blencowe@lshtm.ac.uk.
Peter Waiswa *Department of Health Policy, Planning and Management, Makerere University School of Public Health, Kampala, Uganda.
the Every Newborn-INDEPTH Study Collaborative Group
London School of Hygiene & Tropical Medicine · GBInternational Centre for Diarrhoeal Disease Research · BDBandim Health Project · GWKarolinska Institutet · SEKintampo Health Research Centre · GHStatens Serum Institut · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHousehold surveys remain important sources of maternal and child health data, but until now, standard surveys such as Demographic and Health Surveys (DHS) have not collected information on maternity care for women who have experienced a stillbirth. Thus, nationally representative data are lacking to inform programmes to address the millions of stillbirths which occur annually.

methodsThe EN-INDEPTH population-based survey of women of reproductive age was undertaken in five Health and Demographic Surveillance System sites in Bangladesh, Ethiopia, Ghana, Guinea-Bissau and Uganda (2017-2018). All women answered a full birth history with additional questions on pregnancy losses (FBH+) or full pregnancy history (FPH). A sub-sample, including all women reporting a recent stillbirth or neonatal death, was asked additional maternity care questions. These were evaluated using descriptive measures. Associations between stillbirth and maternal socio-demographic characteristics, babies' characteristics and maternity care use were assessed using a weighted logistic regression model for women in the FBH+ group.

resultsA total of 15,591 women reporting a birth since 1 January 2012 answered maternity care questions. Completeness was very high (> 99%), with similar proportions of responses for both live and stillbirths. Amongst the 14,991 births in the FBH+ group, poorer wealth status, higher parity, large perceived baby size-at-birth, preterm or post-term birth, birth in a government hospital compared to other locations and vaginal birth were associated with increased risk of stillbirth after adjusting for potential confounding factors. Regarding association with reported postnatal care, women with a stillbirth were more likely to report hospital stays of > 1 day. However, women with a stillbirth were less likely to report having received a postnatal check compared to those with a live birth.

conclusionsWomen who had experienced stillbirth were able to respond to questions about pregnancy and birth, and we found no reason to omit questions to these women in household surveys. Our analysis identified several potentially modifiable factors associated with stillbirth, adding to the evidence-base for policy and action in low- and middle-income contexts. Including these questions in DHS-8 would lead to increased availability of population-level data to inform action to end preventable stillbirths.

Indexed as

Maternal Health ServicesStillbirthBirth WeightChildFemaleHumansIncomeInfantInfant, NewbornPregnancySurveys and QuestionnairesDemographic and Health SurveysDeterminantsFoetal lossHousehold surveyLow- and middle-income countryMaternity carePerinatal deathPregnancyRisk factorStillbirth

Identifiers

PMID33557874
PMCPMC7869205
OpenAlexW3127751876

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.