Evidence map›Paper›PMID 41992083›Full record

ArticleInternational journal of emergency medicine2026

Prehospital assessment of perinatal patients by ambulance clinicians: development, implementation, review and national application.

Camella Main, Joanna Shaw, Lydia Burgess, Stephanie Heys, Susan Rhind, Tony Kelly

Abstract read
In one paragraph

Article in International journal of emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Camella MainLondon Ambulance Service NHS Trust, 220 Waterloo Road, London, SE1 8SD, UK.
Joanna ShawLondon Ambulance Service NHS Trust, 220 Waterloo Road, London, SE1 8SD, UK.
Lydia BurgessLondon Ambulance Service NHS Trust, 220 Waterloo Road, London, SE1 8SD, UK.
Stephanie HeysNorth West Ambulance Service NHS Trust, Lancashire, UK. stephanie.heys@manchester.ac.uk.
Susan RhindNorth West Ambulance Service NHS Trust, Lancashire, UK.
Tony KellyNational Health Service England, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrehospital maternity care is complex due to limited diagnostic equipment and access to pertinent information, constraints on resources, environmental challenges, minimal education and exposure to maternity cases. NEWS2 is used to assess adults in the prehospital setting but is not validated to assess perinatal patients. This paper describes the development, implementation, review, refinement and national implementation of a bespoke prehospital assessment tool which accounts for the altered physiology of perinatal patients.

methodsAn initial modified Delphi approach, using expert focus groups, reached a consensus on the early warning parameters and other red flags required for a prehospital maternity decision tool. The tool was implemented and retrospectively applied to anonymised patient data in a large urban ambulance service in the UK. A further modified Delphi approach was then used to revise the tool to ensure national applicability.

resultsThe initial modified Delphi resulted in a tool which included maternity early warning score parameters and other red flags. Following implementation within one ambulance service, data from 251 ambulance clinical records of pregnant or recently pregnant women identified a high proportion of women with abnormal signs and symptoms which would not have been identified using NEWS2. Through a second modified Delphi, a national tool underpinned by national MEWS parameters alongside additional time-critical red flags was produced.

conclusionA national prehospital maternity decision tool was created using modified Delphi methodology. Further research is required to formally validate the tool and to understand the effectiveness when screening for perinatal deterioration in the prehospital setting.

Identifiers

PMID41992083
PMCPMC13085477

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