Evidence map›Paper›PMID 33214899›Full record

ArticleJournal of global health2020

Applicability of the WHO maternal near-miss tool: A nationwide surveillance study in Suriname.

Kim Jc Verschueren, Lachmi R Kodan, Raëz R Paidin, Sarah M Samijadi, Rubinah R Paidin, Marcus J Rijken, Joyce L Browne, Kitty Wm Bloemenkamp

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Article in Journal of global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 6 pooled it
–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

18 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  13. Incidence and causes of severe maternal outcomes in Somaliland using the sub-Saharan Africa maternal near-miss criteria: A prospective cross-sectional study in a national referral hospital.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2022
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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

8 authors.

Kim Jc VerschuerenDepartment of Obstetrics, Division Women and Baby, Birth Centre Wilhelmina's Children Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Lachmi R KodanDepartment of Obstetrics, Division Women and Baby, Birth Centre Wilhelmina's Children Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Raëz R PaidinDepartment of Obstetrics, Diakonessen Hospital Paramaribo, Paramaribo, Suriname.
Sarah M SamijadiDepartment of Obstetrics, Academic Hospital Paramaribo, Paramaribo, Suriname.
Rubinah R PaidinDepartment of Obstetrics, Academic Hospital Paramaribo, Paramaribo, Suriname.
Marcus J RijkenDepartment of Obstetrics, Division Women and Baby, Birth Centre Wilhelmina's Children Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Joyce L BrowneJulius Global Health, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands.
Kitty Wm BloemenkampDepartment of Obstetrics, Division Women and Baby, Birth Centre Wilhelmina's Children Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal near-miss (MNM) is an important maternal health quality-of-care indicator. To facilitate comparison between countries, the World Health Organization (WHO) developed the "MNM-tool". However, several low- and middle-income countries have proposed adaptations to prevent underreporting, ie, Namibian and Sub-Sahara African (SSA)-criteria. This study aims to assess MNM and associated factors in middle-income country Suriname by applying the three different MNM tools.

methodsA nationwide prospective population-based cohort study was conducted using the Suriname Obstetric Surveillance System (SurOSS). We included women with MNM-criteria defined by WHO-, Namibian- and SSA-tools during one year (March 2017-February 2018) and used hospital births (86% of total) as a reference group.

resultsThere were 9114 hospital live births in Suriname in the one-year study period. SurOSS identified 71 women with WHO-MNM (8/1000 live births, mortality-index 12%), 118 with Namibian-MNM (13/1000 live births, mortality-index 8%), and 242 with SSA-MNM (27/1000 live births, mortality-index 4%). Namibian- and SSA-tools identified all women with WHO-criteria. Blood transfusion thresholds and eclampsia explained the majority of differences in MNM prevalence. Eclampsia was not considered a WHO-MNM in 80% (n = 35/44) of cases. Nevertheless, mortality-index for MNM with hypertensive disorders was 17% and the most frequent underlying cause of maternal deaths (n = 4/10, 40%) and MNM (n = 24/71, 34%). Women of advanced age and maroon ethnicity had twice the odds of WHO-MNM (respectively adjusted odds ratio (aOR) = 2.6, 95% confidence interval (CI) = 1.4-4.8 and aOR = 2.0, 95% CI = 1.2-3.6). The stillbirths rate among women with WHO-MNM was 193/1000births, with six times higher odds than women without MNM (aOR = 6.8, 95%CI = 3.0-15.8). While the prevalence and mortality-index differ between the three MNM tools, the underlying causes of and factors associated with MNM were comparable.

conclusionsThe MNM ratio in Suriname is comparable to other countries in the region. The WHO-tool underestimates the prevalence of MNM (high mortality-index), while the adapted tools may overestimate MNM and compromise global comparability. Contextualized MNM-criteria per obstetric transition stage may improve comparability and reduce underreporting. While MNM studies facilitate international comparison, audit will remain necessary to identify shortfalls in quality-of-care and improve maternal outcomes.

Indexed as

Near Miss, HealthcarePregnancy ComplicationsPremature BirthAdultCesarean SectionFemaleHumansInfant, NewbornMaternal MortalityPregnancyProspective StudiesQuality Indicators, Health CareSurinameWorld Health OrganizationYoung Adult

Identifiers

PMID33214899
PMCPMC7649043

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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.