Evidence map›Paper›PMID 42301894›Full record

ArticlePrehospital emergency care2026

Inclusion of Hospital Performance in Prehospital Stroke Routing: A Simulation Study.

Kori S Zachrison, Lee H Schwamm, Yizhou Cui, Zhiyu Yan, Francesca Lim, Myles A Ingram, Han Truong, Christopher T Richards, Rebecca E Cash, Chin Hur

Abstract read
In one paragraph

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Kori S ZachrisonDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Lee H SchwammDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut.
Yizhou CuiDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Zhiyu YanDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Francesca LimHealthcare Innovation Research and Evaluation, Department of Medicine, Columbia University Medical Center, New York, New York.
Myles A IngramHealthcare Innovation Research and Evaluation, Department of Medicine, Columbia University Medical Center, New York, New York.
Han TruongDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Christopher T RichardsDepartment of Emergency Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio.ORCID 0000-0003-3728-3860
Rebecca E CashDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0002-0355-1014
Chin HurHealthcare Innovation Research and Evaluation, Department of Medicine, Columbia University Medical Center, New York, New York.

Funding

Addressing Racial/Ethnic Disparities in Stroke Care Access Using Hospital Transfer NetworksR01AG079887 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Korilyn Sauser Zachrison · 2023 to 2026
$2.9M
NIA NIH HHS R01 AG079887
6 · The paper itself

Abstract

objectivesPrehospital routing decisions for patients with suspected stroke are complex, and consideration of actual hospital performance data for door-to-needle and door-to-puncture times for thrombolysis and endovascular thrombectomy (EVT) may impact on-scene decision making. We sought to determine whether optimal routing destinations for patients with suspected stroke in the prehospital setting differ between three strategies: 1) American Heart Association (AHA) consensus recommendations, 2) personalized decision modeling without hospital-specific performance data (base model) and 3) with inclusion of actual hospital data for door-to-needle and door-to-puncture times for thrombolysis and EVT (enhanced model).

methodsOur previously published decision-analytic model (base model) incorporates geographic, patient, and hospital data to determine optimal transport destination, using a standard distribution of thrombolysis and EVT times by hospital type (primary vs comprehensive stroke center). We enhanced the model by incorporating real hospital performance data on thrombolysis and EVT treatment times from all Northeast United States Get with the Guidelines-Stroke hospitals (enhanced model). We generated 500 probable pick-up locations with 800 patient profiles of varying age, stroke severity, and last known well time, giving 400,000 patient-location scenarios. For each scenario we determined the optimal destination based on AHA consensus recommendations and from 1000 simulations each using base and enhanced models to determine the optimal destination for each strategy. We compared destination recommendations and examined conditions under which results changed.

resultsOf the 400,000 patient-location scenarios, 56.1% and 63.1% of routing destinations were different from the consensus recommendations in the base and enhanced models, respectively, as patients were more often directed to hospitals with faster times to reperfusion. Higher stroke severity and greater odds of large vessel occlusion were associated with concordance of recommendations.

conclusionsPrehospital routing models for patients with suspected stroke may benefit from inclusion of actual hospital performance characteristics.

Identifiers

PMID42301894
PMCPMC13488461

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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.