Effectiveness of early warning scores in predicting in-hospital mortality and adverse events in adult general-ward patients in low- and middle-income countries: A systematic review

Evidence in LMIC wards is largely observational and frequently based on statistical simulations with small samples; it should not be interpreted as proof of clinical effectiveness. Before widespread adoption, rigorous local validation and recalibration, along with multicentre, pragmatic implementation studies, are needed to define thresholds, workflows and escalation pathways appropriate to LMIC health-system capacity.

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Publication Details

Journal
African Journal of Emergency Medicine
Published
2026-01-15
DOI
https://doi.org/10.1016/j.afjem.2026.100943
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Effectiveness of early warning scores in predicting in-hospital mortality and adverse events in adult general-ward patients in low- and middle-income countries: A systematic review

Carla Alexandra Silva Alves, Antonio Carlos Jeremias, Ernesto Ulica, Esmael Tomás et al.
African Journal of Emergency Medicine
Sepsis Diagnosis and Treatment
article

Effectiveness of early warning scores in predicting in-hospital mortality and adverse events in adult general-ward patients in low- and middle-income countries: A systematic review

Carla Alexandra Silva Alves, Antonio Carlos Jeremias, Ernesto Ulica, Esmael Tomás, Ana Escoval, Capela Pascoal, Maria Lina Antunes
article en

Abstract

Evidence in LMIC wards is largely observational and frequently based on statistical simulations with small samples; it should not be interpreted as proof of clinical effectiveness. Before widespread adoption, rigorous local validation and recalibration, along with multicentre, pragmatic implementation studies, are needed to define thresholds, workflows and escalation pathways appropriate to LMIC health-system capacity.

African Journal of Emergency MedicineVol. 16(1)
Agostinho Neto University (AO), National School of Public Health (GR), Clínica Sagrada Esperança (AO), Universidade Nova de Lisboa (PT)
Reduced inequalities
Openalex Percentile: Top 87%
Sepsis Diagnosis and Treatment
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