Evidence map›Paper›PMID 40189896›Full record

Observational studyTropical medicine & international health : TM & IH2025

Risk stratification during antenatal care failed to identify most mothers who experienced adverse pregnancy outcomes: A prospective study from Kakamega County, Kenya.

Jan E Cooper, Margaret Kruk, David Kapaon, Kennedy Opondo, Jacinta Nzinga, Rose J Kosgei, Kevin Croke

Abstract readObservational Study
In one paragraph

Observational study in Tropical medicine & international health : TM & IH, 2025. 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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

7 authors.

Jan E CooperDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-2637-9050
Margaret KrukDepartment of Medicine, Division of General Medicine and Geriatrics, Washington University School of Medicine, USA.
David KapaonDepartment of Epidemiology, Boston University School of Public Health, USA.
Kennedy OpondoDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Jacinta NzingaHealth Economics Research Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Department of International Public Health, Liverpool School of Tropical Medicine, UK.
Rose J KosgeiDepartment of Obstetrics and Gynecology, University of Nairobi, Kenya.
Kevin CrokeDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

Funding

Gates Foundation INV-028724
6 · The paper itself

Abstract

introductionRisk stratification of pregnancies informs clinical care globally. Yet recent research has cast doubt on the ability of currently used population-level risk measures to accurately predict poor outcomes at the individual level. We examine the assumption that existing forms of risk stratification can successfully identify women likely to develop complications during delivery in a rural setting in Kenya.

methodsWe conducted a prospective observational study of 19,653 pregnant women in Kakamega County in Western Kenya. Women were contacted three times during the perinatal period and surveyed about provider-identified risks and self-assessed concerns about pregnancy complications, delivery process outcomes, and adverse delivery outcomes. Measures of risk were derived from women's self-reporting. We compared delivery process outcomes and adverse delivery outcomes between high- and low-risk pregnancies, and between women with and without expressed concerns about delivery complications. Delivery process outcomes included intrapartum referral, unplanned caesarean section, blood transfusion, hysterectomy, or admission to an intensive care unit. Adverse delivery outcomes included stillbirth, neonatal mortality, and maternal mortality. We reported means and confidence intervals for each category, and tested for differences using bivariate linear regression.

resultsThirty-eight percent of pregnancies had at least one risk factor consistent with a high risk pregnancy; the remaining 62% were low risk by this criteria. Rates of most adverse process outcomes and delivery outcomes were higher among pregnancies with known risks. However, 64.5% of maternal deaths and 54.8% of all deaths in the sample took place among pregnancies characterised as low risk.

conclusionsRisk stratification using existing indicators of risk during pregnancy is inadequate to identify women at risk of adverse health outcomes in this setting.

Indexed as

Pregnancy ComplicationsPregnancy OutcomePrenatal CareAdolescentAdultFemaleHumansInfant MortalityInfant, NewbornKenyaMaternal MortalityPregnancyProspective StudiesRisk AssessmentRural PopulationStillbirthadverse delivery outcomeshealth systemspregnancy risk

Identifiers

PMID40189896
PMCPMC12136940

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Registered trials

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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.