Evidence map›Paper›PMID 37479486›Full record

ArticleBMJ global health2023

Comparing observed occurrence of mistreatment during childbirth with women's self-report: a validation study in Ghana, Guinea and Nigeria.

Hedieh Mehrtash, Meghan A Bohren, Kwame Adu-Bonsaffoh, Theresa Azonima Irinyenikan, Blair O Berger, Ernest Maya, Mamadou Dioulde Balde, Thae Maung Maung, Adeniyi Kolade Aderoba, Özge Tuncalp and 1 more

Abstract read
In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

11 authors.

Hedieh MehrtashDepartment of Sexual and Reproductive Health and Research, WHO, Geneva, Switzerland mehrtashh@who.int.ORCID 0000-0003-4991-616X
Meghan A BohrenGender and Women's Health Unit, Nossal Institute for Global Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-4179-4682
Kwame Adu-BonsaffohDepartment of Obstetrics and Gynecology, University of Ghana Medical School, Accra, Ghana.
Theresa Azonima IrinyenikanDepartment of Obstetrics and Gynaecology, University of Medical Sciences Teaching Hospital, Akure, Nigeria.
Blair O BergerDepartment of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-7962-0522
Ernest MayaDepartment of Population Health, School of Public Health, University of Ghana, Accra, Ghana.
Mamadou Dioulde BaldeCellulle de Recherche en Sante de la Reproduction en Guinee (CERREGUI), Conakry, Guinea.
Thae Maung MaungDepartment of Medical Research, Ministry of Health and Sports, Yangon, Myanmar.ORCID 0000-0002-1265-3813
Adeniyi Kolade AderobaNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0002-4333-9093
Özge TuncalpDepartment of Sexual and Reproductive Health and Research, WHO, Geneva, Switzerland.
Hannah H LeslieDivision of Prevention Science, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-7464-3645

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThere has been substantial progress in developing approaches to measure mistreatment of women during childbirth. However, less is known about the differences in measurement approaches. In this study, we compare measures of mistreatment obtained from the same women using labour observations and community-based surveys in Ghana, Guinea and Nigeria.

methodsExperiences of mistreatment during childbirth are person-centred quality measures. As such, we assessed individual-level and population-level accuracy of labour observation relative to women's self-report for different types of mistreatment. We calculated sensitivity, specificity, percent agreement and population-level inflation factor (IF), assessing prevalence of mistreatment in labour observation divided by 'true' prevalence in women's self-report. We report the IF degree of bias as: low (0.75<IF<1.5), moderate (0.50<IF<0.75 or 1.5<IF<2.0) or high (IF≤0.50 or IF≥2.0).

results1536 women across Ghana (n=779), Guinea (n=425) and Nigeria (n=332) were included. Most mistreatment items demonstrated better specificity than sensitivity: observation of any physical abuse (44% sensitive, 89% specific), any verbal abuse (61% sensitive, 73% specific) and presence of a labour companion (19% sensitive, 93% specific). Items for stigma (IF 0.16), pain relief requested (IF 0.38), companion present (IF 0.32) and lack of easy access to fluids (IF 0.46) showed high risk of bias, meaning labour observations would substantially underestimate true prevalence. Other items showed low or moderate bias.

conclusionUsing self-report as the reference standard, labour observations demonstrated moderate-to-high specificity (accurately identifying lack of mistreatment) but low-to-moderate sensitivity (accurately identifying presence of mistreatment) among women. For overall prevalence, either women's self-report or observations can be used with low-moderate bias for most mistreatment items. However, given the dynamicity, complexity, and limitations in 'objectivity', some experiences of mistreatment (stigma, pain relief, labour companionship, easy access to fluids) require measurement via women's self-report. More work is needed to understand how subjectivity influences how well a measure represents individual's experiences.

Indexed as

PainParturitionFemaleGhanaGuineaHumansNigeriaPregnancySelf Reportcross-sectional surveymaternal healthpublic health

Identifiers

PMID37479486
PMCPMC10366988

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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.