Maternal early warning scores shown to be methodologically weak and at high risk of bias

There is a lack of MOEWSs developed using methods that follow recommended statistical guidelines. Substantial problems with the methodological quality of included development and validation studies, along with high risk of bias,indicating published scores could perform poorly or be potentially harmful if used in clinical practice. Future work should address handling missing data and repeated measures and consider how an MOEWS will perform in different populations and key subgroups.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Epidemiology
Published
2025-05-19
DOI
https://doi.org/10.1016/j.jclinepi.2025.111833
Citations
2
Primary Topic
Food Security and Health in Diverse Populations
Type
article
Field-Weighted Citation Impact
5.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Maternal early warning scores shown to be methodologically weak and at high risk of bias

R. Tunn, Peter Watkinson, Vidoushee Jogarah, Mae Chester‐Jones et al.
2 citations
Journal of Clinical Epidemiology
Food Security and Health in Diverse Populations
5.63
article

Maternal early warning scores shown to be methodologically weak and at high risk of bias

R. Tunn, Peter Watkinson, Vidoushee Jogarah, Mae Chester‐Jones, Stephen Gerry, Professor Gary S. Collins, Marian Knight, Shona Kirtley, Yu Qiao, Fema Er, Naomi Vides
article en
2 citations

Abstract

There is a lack of MOEWSs developed using methods that follow recommended statistical guidelines. Substantial problems with the methodological quality of included development and validation studies, along with high risk of bias,indicating published scores could perform poorly or be potentially harmful if used in clinical practice. Future work should address handling missing data and repeated measures and consider how an MOEWS will perform in different populations and key subgroups.

Journal of Clinical EpidemiologyVol. 184
Nuffield Orthopaedic Centre (GB), University of Oxford (GB), Oxford BioMedica (United Kingdom) (GB)
National Institute for Health and Care Research
Openalex Percentile: Top 5%
Food Security and Health in Diverse Populations
5.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.