Developing and Validating a Competency Framework for Non-clinical Simulation Operations Specialists

A mixed-methods design guided by participatory action research (PAR) was used to guide this work. This study followed Batt et al.'s six-step model to develop and validate the competency framework. Methods included a narrative review, artificial intelligence (AI)-supported competency generation, semi-structured interviews, a card-sorting exercise, survey-based validation, and focus groups. Results: This study produced a validated competency framework for non-clinical SOS training consisting of 36 competencies across three technical pillars: (i) Simulation Technology (SIMTECH); (ii) Educational Principles (EDUPRI); and (iii) Safety (SAFE), plus a General Competencies (GEN) pillar aligned with transferable knowledge, skills, and attitudes (KSAs). Conclusion: This study provides the first validated competency framework tailored for entry-level, non-clinical SOS, grounded in both theory and real-world perspectives. The final framework offers a foundation for curriculum developers, employers, and certification bodies, and informs the development of accessible training pathways for non-clinicians entering the simulation operations field.

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Publication Details

Journal
Cureus
Published
2025-12-30
DOI
https://doi.org/10.7759/cureus.100408
Primary Topic
Simulation-Based Education in Healthcare
Type
article
Field-Weighted Citation Impact
0.00

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article

Developing and Validating a Competency Framework for Non-clinical Simulation Operations Specialists

Julia Micallef, Krystina M Clarke, Timothy Willett, Refka Al-Bayati et al.
Cureus
Simulation-Based Education in Healthcare
article

Developing and Validating a Competency Framework for Non-clinical Simulation Operations Specialists

Julia Micallef, Krystina M Clarke, Timothy Willett, Refka Al-Bayati, Anjali Jagannathan, Adam Dubrowski, Nick Wattie
article en

Abstract

A mixed-methods design guided by participatory action research (PAR) was used to guide this work. This study followed Batt et al.'s six-step model to develop and validate the competency framework. Methods included a narrative review, artificial intelligence (AI)-supported competency generation, semi-structured interviews, a card-sorting exercise, survey-based validation, and focus groups. Results: This study produced a validated competency framework for non-clinical SOS training consisting of 36 competencies across three technical pillars: (i) Simulation Technology (SIMTECH); (ii) Educational Principles (EDUPRI); and (iii) Safety (SAFE), plus a General Competencies (GEN) pillar aligned with transferable knowledge, skills, and attitudes (KSAs). Conclusion: This study provides the first validated competency framework tailored for entry-level, non-clinical SOS, grounded in both theory and real-world perspectives. The final framework offers a foundation for curriculum developers, employers, and certification bodies, and informs the development of accessible training pathways for non-clinicians entering the simulation operations field.

CureusVol. 17(12)
Ontario Tech University (CA), Simulation Technologies (United States) (US)
Social Sciences and Humanities Research Council of Canada
Openalex Percentile: Top 32%
Simulation-Based Education in Healthcare
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