Data and study materials for paper "Exploring Reusability Barriers for Simulation Models in Healthcare"

Résumé fourni par la source

Simulation models offer significant potential for improvements to healthcare operations. However, a lack of reuse of existing models makes it difficult to realise this potential. The practical barriers to model reuse in healthcare remain poorly understood. We report findings from a qualitative study exploring reusability barriers for open, published simulation models within National Health Service settings. We conducted semi-structured interviews with seven healthcare data analysts and applied thematic analysis to identify key barriers and facilitators. This revealed nine themes: time and resource constraints, skill-related barriers, documentation quality, model interfaces and outputs, stakeholder engagement and trust, governance and data management, calibration and validation challenges, model discoverability, and model adaptability and extensibility. We discuss implications for simulation researchers and model developers, arguing technical reproducibility alone is insufficient for meaningful reuse, and that reusability requires deliberate attention to organisational context, model purpose, user capability, and design for reuse, alongside open-source practices.This dataset includes the study protocols and materials as well as anonymised codebooks for the study. The paper is currently under review.

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