Evidence map›Paper›PMID 42599874›Full record

ArticlePloS one2026

Maternal early warning system (MEWS) model for predicting and reducing severe maternal outcomes in Ethiopia.

Saba Desta Tessema, Mesfin Tadese, Solomon Hailemeskel, Chaltu Takele Mule, Getaneh Dejen Tiche, Lidya Asalefew Mekonnen, Getnet Mitike Kassie

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Saba Desta TessemaDepartment of Midwifery, School of Nursing and Midwifery, Asrat Woldeyes Health Science Campus, Debre Berhan University, Debre Berhan, Ethiopia.ORCID https://orcid.org/0000-0003-4983-1086
Mesfin TadeseDepartment of Midwifery, School of Nursing and Midwifery, Asrat Woldeyes Health Science Campus, Debre Berhan University, Debre Berhan, Ethiopia.
Solomon HailemeskelDepartment of Midwifery, School of Nursing and Midwifery, Asrat Woldeyes Health Science Campus, Debre Berhan University, Debre Berhan, Ethiopia.
Chaltu Takele MuleDepartment of Public Health, School of Public Health, Asrat Woldeyes Health Science Campus, Debre Berhan University, Debre Berhan, Ethiopia.
Getaneh Dejen TicheDepartment of Obstetrics and Gynecology, School of Medicine, Asrat Woldeyes Health Science Campus, Debre Berhan University, Debre Berhan, Ethiopia.ORCID https://orcid.org/0009-0002-6671-2388
Lidya Asalefew MekonnenDepartment of Medicine, School of Medicine, Asrat Woldeyes Health Science Campus, Debre Berhan University, Debre Berhan, Ethiopia.ORCID https://orcid.org/0009-0005-1832-1632
Getnet Mitike KassieSenior Research advisor, International Institute for Primary Health Care - Ethiopia, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal mortality in Ethiopia remains high, while most of these deaths are preventable. Early detection of deterioration and prompt response are essential to reduce these preventable deaths. The Maternal Early Warning System (MEWS) is a reliable clinical tool for this purpose. However, its effectiveness is underexplored and its bedside use is inconsistent. This study evaluated the MEWS model for predicting and reducing severe maternal outcomes.

methodA parallel, quasi-experimental study design was conducted among 1138 obstetric inpatients at four public hospitals of North Shewa Zone, Ethiopia. The recruitment period was from 05/05/2025-31/8/2025. The intervention group (n = 569) was monitored using the MEWS chart, which included vital signs, oxygen saturation, urine output, consciousness, and pain, and for the postpartum women; vaginal bleeding, uterine contraction, and perineal tear, were categorized as Green, Yellow, or Red. The control group (n = 569) received the standard clinical monitoring. A multivariate generalized estimating equation (GEE) model with Poisson regression was used to compare the outcomes and estimate adjusted risk ratios (aRR) with 95% confidence intervals.

resultThe mean duration from admission to the first trigger was shorter by 4.7 hours (5.61 vs. 10.27 hours), trigger to physician evaluation by 22.6 minutes (49.3 vs. 71.9 minutes), and trigger to clinical intervention by 11.3 minutes (14.6 vs. 25.9 minutes) among women in the intervention group. Women also underwent fewer ultrasound scans (1.32 vs. 2.30) and had a shorter hospital stay by about 0.5 days (4.83 vs. 5.29 days). Women monitored with the MEWS chart had a 20% lower risk of severe maternal outcomes (aRR = 0.85, 95% CI: 0.73-0.99). Additionally, MEWS-monitored women were 9% more likely to be triggered for timely clinical response (aRR = 1.15, 95% CI: 1.03-1.28).

conclusionImplementation of the MEWS was associated with earlier detection of maternal deterioration, shorter clinical response, fewer ultrasound investigations, shorter hospital stays, and lower severe maternal outcomes. Further studies with larger number of clusters are needed to evaluate the effectiveness of MEWS across different risk groups and settings.

trial registrationPan African Clinical Trial Registry (PACTR), PACTR202506739780428, https://pactr.samrc.ac.za.

Indexed as

Early Warning ScoreMaternal MortalityPregnancy ComplicationsAdultEthiopiaFemaleHumansPregnancyYoung Adult

Identifiers

PMID42599874
PMCPMC13475879

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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.