Evidence map›Paper›PMID 42829971›Full record

SynthesisJournal of evaluation in clinical practice2026

Health Economic & Implementation Determinants of Prehospital Stroke Triage Tools: A Systematic Review.

Nadja Alexandrov, Durk-Jouke van der Zee, Maud B R C Eurlings, Maritta N van Stigt, Monique Theunissen, Erik Buskens, Koen M van der Waaij, Erik D Gommer, Jonathan M Coutinho, Maarten Uyttenboogaart and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of evaluation in clinical practice, 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
–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

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

11 authors.

Nadja AlexandrovHealth Technology Assessment, Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Groningen, the Netherlands.ORCID https://orcid.org/0009-0009-4958-1276
Durk-Jouke van der ZeeHealth Technology Assessment, Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Groningen, the Netherlands.ORCID https://orcid.org/0000-0001-9754-1193
Maud B R C EurlingsDepartment of Neurology, Amsterdam UMC location University of Amsterdam, Amsterdam, Noord-Holland, the Netherlands.ORCID https://orcid.org/0009-0000-7630-2417
Maritta N van StigtDepartment of Neurology, Amsterdam UMC location University of Amsterdam, Amsterdam, Noord-Holland, the Netherlands.ORCID https://orcid.org/0000-0003-4957-3654
Monique TheunissenAmbulancezorg, Witte Kruis, Alkmaar, Noord-Holland, the Netherlands.
Erik BuskensHealth Technology Assessment, Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Groningen, the Netherlands.ORCID https://orcid.org/0000-0002-6463-1106
Koen M van der WaaijDepartment of Clinical Neurophysiology, Maastricht UMC, Maastricht, Limburg, the Netherlands.ORCID https://orcid.org/0000-0003-4735-7317
Erik D GommerDepartment of Clinical Neurophysiology, Maastricht UMC, Maastricht, Limburg, the Netherlands.ORCID https://orcid.org/0000-0003-1054-2682
Jonathan M CoutinhoDepartment of Neurology, Amsterdam UMC location University of Amsterdam, Amsterdam, Noord-Holland, the Netherlands.ORCID https://orcid.org/0000-0002-8284-982X
Maarten UyttenboogaartDepartment of Neurology, University of Groningen, University Medical Center Groningen, Groningen, Groningen, the Netherlands.ORCID https://orcid.org/0000-0002-6934-4456
Maarten M H LahrHealth Technology Assessment, Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Groningen, the Netherlands.

Funding

Dutch Heart Foundation 01-003-2022-0409 2022 Open PPP programme
6 · The paper itself

Abstract

rationaleEffective prehospital stroke triage enables faster treatment and better patient outcomes. Although prehospital triage innovations are rapidly emerging, evidence regarding the balance between costs and benefits as well as implementation issues remains limited. AIMS AND

objectivesThis review aims to synthesise published evidence on health economics and implementation determinants of prehospital triage tools for acute suspected ischaemic stroke patients.

methodA systematic search was conducted across five databases (CINAHL, Cochrane, EMBASE, PubMed, and Web of Science) between 1995 and 2025. Results were reported narratively, and reporting quality was assessed using CHEERS, STROBE-simulation, COREQ, CONSORT, SQUIRE, and GRAMMS. Included were empirical studies of EMS-operated prehospital triage innovations for acute suspected stroke patients. The main outcome measures were health economic outcomes (e.g., ICER) and system-level implementation determinants (CFIR constructs).

resultsFrom 6491 screened studies, thirty-one were included: thirteen studies included health economic outcomes and eighteen reported implementation determinants. Prehospital triage tools assessed were: MSU (n = 14), telemedicine (n = 13), clinimetrics (n = 1), prehospital MRI (n = 1), biomarkers (n = 1), and an AI-based microwave tool (n = 1). Most studies (68%) were of high reporting quality. Positive results regarding cost-effectiveness were reported (n = 11), including cost-savings (n = 1), as well as implementation determinants (n = 11). However, evidence on sustained implementation was limited. Barriers included innovation design, complexity, workflow compatibility, work and IT infrastructure, and costs.

conclusionIncluded studies suggest most prehospital stroke triage tools are cost-effective, but implementation remains largely context-dependent. Barriers, including innovation complexity, role delineation, workflow fit, design, and costs, highlight the need for future studies to integrate health economics into an implementation science framework alongside clinical outcomes.

Indexed as

Emergency Medical ServicesStrokeTriageCost-Benefit AnalysisHumanshealth economicsimplementationmedical devicesprehospital triagestroke

Identifiers

PMID42829971
PMCPMC13634602

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.