Evidence map›Paper›PMID 41816550›Full record

ArticleeNeurologicalSci2026

Building confident cohesive stroke response teams: Design, implementation and outcomes of a stroke code simulation training program for interprofessional teams in LMIC.

Shafaq Saleem, Ayeesha Kamran Kamal, Namrah Aziz, Selina Hasan, Abdullah Saeed Khan, Fatima Mubarak, Erum Shakeel, Rafia Durrani, Sana Qamar, Saadia Sattar and 6 more

Abstract read
In one paragraph

Article in eNeurologicalSci, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

16 authors.

Shafaq SaleemSection of Neurology, Department of Medicine, Aga Khan University, Karachi, Pakistan.
Ayeesha Kamran KamalNeurovascular Research and Clinical Services, Section of Neurology, Department of Medicine, Aga Khan University, Karachi, Pakistan.
Namrah AzizDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Selina HasanCenter of Innovation in Medical Education (CIME), Aga Khan University, Karachi, Pakistan.
Abdullah Saeed KhanCenter of Innovation in Medical Education (CIME), Aga Khan University, Karachi, Pakistan.
Fatima MubarakDepartment of Radiology, Aga Khan University, Karachi, Pakistan.
Erum ShakeelDepartment of Emergency Medicine, Aga Khan University, Karachi, Pakistan.
Rafia DurraniCenter of Innovation in Medical Education (CIME), Aga Khan University, Karachi, Pakistan.
Sana QamarDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Saadia SattarDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Sadia AsgharNeurovascular Research Services, Aga Khan University, Karachi, Pakistan.
Saif HussainNeurovascular Research Services, Aga Khan University, Karachi, Pakistan.
Ambreen GowaniSchool of Nursing and Midwifery, Aga Khan University, Karachi, Pakistan.
Sara ShakilEducation Development and Medicine, Aga Khan University, Karachi, Pakistan.
Asma KhanEpidemiology and Biostatistics, Neurovascular Research Services, Aga Khan University, Karachi, Pakistan.
Badar AfzalDepartment of Emergency Medicine, Aga Khan University, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Training in LMICs for hyperacute stroke relies on didactic methods. This study describes the development and evaluates the impact of a high-fidelity simulation-based interprofessional stroke code training course in Pakistan, aiming to improve teamwork, communication, and clinical decision-making. Methods: A quasi-experimental mixed-methods study was conducted at Aga Khan University (AKU) in September 2024. Participants encountering hyperacute stroke participated across Pakistan. A total of 25 participants completed this national-level course across 5 stroke centers. Results: Statistical analysis revealed significant improvements in self-efficacy scores across all tasks, except for manage uncontrolled high blood pressures in patients receiving TPA ( Conclusion: This study demonstrates that high-fidelity simulation-based training enhances stroke code management skills among healthcare professionals in LMICs. Implementing structured, team-based simulation programs can improve acute stroke care and patient outcomes, thereby improving and streamlining workflows.

Indexed as

Emergency physicianHigh-fidelityNeurologistRadiologistSimulationStroke code

Identifiers

PMID41816550
PMCPMC12971993

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LicenceCC BY-NC-ND
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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.