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Facilitator development for pre-registration health professions simulation: a scoping review
Renée Gordon1,2,3, Jaime Riley1, Diana Dupont1
1Faculty of Nursing and Health Sciences, University of New Brunswick, Fredericton, Saint John and Moncton, NB, Canada.
JBI Evidence Synthesis
|June 22, 2026
Summary
This scoping review found significant variability in simulation facilitator development programs for pre-registration health professionals. Standardized approaches and holistic evaluation are needed to improve training and simulation-based education.
Area of Science:
- Health Professions Education
- Simulation-Based Education
- Facilitator Development
Background:
- Simulation-based education is vital in health professions training.
- Current facilitator development practices for pre-registration programs lack standardization.
- Evolving simulation methods necessitate adaptable facilitator development strategies.
Purpose of the Study:
- To map evidence on simulation facilitator development content, delivery, evaluation, and recommendations.
- To guide the development of simulation facilitators in pre-registration health professional programs.
- To utilize the Facilitator Competency Rubric and Kirkpatrick's Model as guiding frameworks.
Main Methods:
- A comprehensive scoping review using JBI methodology.
- Searched multiple databases (CINAHL, Embase, ERIC, MEDLINE, ProQuest) since 2005.
- Independent reviewer screening, data extraction, and analysis using descriptive statistics and content analysis.
Main Results:
- 22 articles (2005-2025) analyzed, focusing on facilitator development interventions.
- Debriefing was the most common content; most interventions (73%) integrated multiple competencies.
- Delivery was predominantly synchronous and in-person (73%), with varied evaluation methods.
Conclusions:
- Simulation facilitator development interventions exhibit considerable variability.
- There is a need for standardized approaches and alignment with global best practices.
- Future research should focus on longitudinal designs and robust theoretical frameworks.
