Building confident cohesive stroke response teams: Design, implementation and outcomes of a stroke code simulation...

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.

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.

Statistical analysis revealed significant improvements in self-efficacy scores across all tasks, except for manage uncontrolled high blood pressures in patients receiving TPA (p = 0.05583). Notable gains were observed in areas such as interdepartmental communication, prioritizing hyperacute stroke cases during triage and code activation, accurate ASPECT and NIHSS calculation, execution of the hyperacute stroke algorithm and assessment of r-tPA eligibility (p < 0.001).Questionnaire results demonstrated enhancements across all three learning domains cognitive, affective, and psychomotor with individual learning objectives showing improvements ranging from 25% to 40%.Qualitative analysis highlighted key challenges, including the absence of standardized stroke pathways, lack of adherence to evidence-based practices, and delays in patient arrival and workflow efficiency. Participants underscored the need for structured training programs, improved interdepartmental coordination, and the creation of algorithmic workflows.

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.