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Assessing healthcare simulation facilitation using a competency-based tool derived from practice in low-resource
Adam I Mossenson1,2, Janie A Brown1,3, Eugene Tuyishime4,5
1Department of Anaesthesia, St John of God Midland Public and Private Hospitals, Perth, Western Australia.
A new Facilitation Behavioural Assessment Tool shows good reliability for training healthcare simulation facilitators in low-resource settings. This tool helps assess facilitation skills, supporting faculty development globally.
Area of Science:
- Healthcare Simulation
- Medical Education
- Faculty Development
Background:
- Healthcare simulation training is expanding globally, including in low-resource settings.
- A specific framework for assessing facilitation competencies in these settings was previously lacking.
- This study addresses the need for a validated tool to evaluate simulation facilitation.
Purpose of the Study:
- To develop and assess the reliability of the Facilitation Behavioural Assessment Tool (FBAT).
- To evaluate the FBAT's effectiveness in scoring facilitation performance in simulated healthcare training.
- To support simulation faculty development, particularly in resource-limited environments.
Main Methods:
- The FBAT includes 32 competencies across techniques, artistry, and values, scored on a three-point scale.
- 104 participants from 29 countries completed online training and scored three standardized videos.
- Inter-rater reliability (ICC2, ICC2k) and internal consistency (Cronbach's α) were calculated.
Main Results:
- High inter-rater reliability was achieved (ICC2=0.73, ICC2k=0.89).
- Strong internal consistency was found across videos (Cronbach's α ranging from 0.84 to 0.91).
- Novice facilitators scored differently than experienced ones, but overall discrimination between performance levels was successful.
Conclusions:
- The Facilitation Behavioural Assessment Tool demonstrates suitable reliability and internal consistency.
- The FBAT is recommended for supporting faculty development through learning conversations in simulation, especially in low-resource settings.
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