Evidence map›Paper›PMID 40597661›Full record

ArticleBMC emergency medicine2025

Modelling the potential clinical benefit of mobile stroke units in England.

Anna Laws, Michael Allen, Jason Scott, Lisa Moseley, Kerry Pearn, Gary A Ford, Chris Price, Phil White, Graham McClelland, Lisa Shaw and 4 more

Abstract read
In one paragraph

Article in BMC emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

14 authors.

Anna LawsUniversity of Exeter Medical School, Exeter, UK.
Michael AllenUniversity of Exeter Medical School, Exeter, UK. m.allen@exeter.ac.uk.
Jason ScottNorthumbria University, Newcastle-upon-Tyne, UK. jason.scott@northumbria.ac.uk.
Lisa MoseleyNorthumbria University, Newcastle-upon-Tyne, UK.
Kerry PearnUniversity of Exeter Medical School, Exeter, UK.
Gary A FordUniversity of Oxford, Oxford, UK.
Chris PriceUniversity of Newcastle, Newcastle-upon-Tyne, UK.
Phil WhiteUniversity of Newcastle, Newcastle-upon-Tyne, UK.
Graham McClellandNorthumbria University, Newcastle-upon-Tyne, UK.
Lisa ShawUniversity of Newcastle, Newcastle-upon-Tyne, UK.
Daniel PhillipsEast of England Ambulance Service NHS Trust, Royston, UK.
Dave WilsonEast of England Ambulance Service NHS Trust, Royston, UK.
Peter McMeekinNorthumbria University, Newcastle-upon-Tyne, UK.
Martin JamesUniversity of Exeter Medical School, Exeter, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntravenous thrombolysis (IVT) and mechanical thrombectomy (MT) are well-established emergency reperfusion treatments for stroke caused by clots. Both reduce disability but effectiveness is highly time-dependent, declining in the first few hours after stroke onset. Mobile stroke units (MSUs) have been proposed as a way of improving outcomes after stroke. MSUs enable on-scene brain imaging and delivery of IVT, and can allow for better choice of destination hospital. The primary objective of the study was to model the likely effect of MSUs on clinical outcomes (the ability to live independently, modified Rankin Scale 0-2) across all of England assuming no resource restrictions during deployment.

methodsWe used modelling of times to treatment and outcomes. Modelling was performed for Lower Super Output Areas (LSOAs) in England. Admission numbers were based on Hospital Episode Statistics and travel times estimated from data from Open Street Map. Outcomes were predicted based on times to IVT and MT; we report outcomes as utility or the proportion of patients able to live independently at 3-6 months after stroke. We assumed MSUs and stroke units all had the same propensity to use IVT.

resultsFor every 100 patients suitable for IVT or MT, there will likely be 1-3 more people who can live independently following MSU care. The benefit comes from both earlier IVT and the direct transfer of patients likely to benefit from MT to their closest MT-centre by avoiding inter-hospital transfers that would be used in usual care. If, as is likely, about 1 in 5 stroke patients are suitable candidates for IVT or MT, an MSU would need to attend approximately 250 stroke patients for every one extra independent-living outcome. If about half of the patients to whom an MSU is dispatched are actual strokes (the others being stroke mimics), an MSU would need to attend approximately 500 patients for every one extra independent-living outcome. Some areas, furthest from where MSUs are based, will receive no benefit from MSU care, whereas other areas may have up to 4 additional independent-living outcomes for every 100 patients suitable for IVT or MT. Quick MSU dispatch and fast on-scene treatment are crucial to achieving the benefit of MSUs, otherwise use of MSUs may have no overall benefit, or worse outcomes, than usual care. The above benefits do not include any other possible benefits unrelated to earlier IVT or MT.

conclusionsThis study suggests that the overall benefit of MSU care if deployed across all of England is likely to be modest. Selective use of MSUs in specific areas is likely to be more effective than widespread implementation. Rapid dispatch, fast on-scene treatment of patients, and careful selection of which patients to dispatch the MSU to (by location and confidence in that person being a confirmed stroke patient), are all critical for maximising benefits from MSU care. MSUs should not be seen as an alternative to optimising day-to-day emergency stroke systems.

Indexed as

Mobile Health UnitsStrokeThrombolytic TherapyEnglandHumansThrombectomyTime-to-TreatmentMobile stroke unitStrokeThrombectomyThrombolysis

Identifiers

PMID40597661
PMCPMC12219994

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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.