Evidence map›Paper›PMID 40296384›Full record

ArticleAnaesthesia2025

Assessing healthcare simulation facilitation using a competency-based tool derived from practice in low-resource settings.

Adam I Mossenson, Janie A Brown, Eugene Tuyishime, Rodrigo Rubio Martinez, Karima Khalid, Patricia Livingston

Abstract read
In one paragraph

Article in Anaesthesia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Adam I MossensonDepartment of Anaesthesia, St John of God Midland Public and Private Hospitals, Perth, Western Australia.ORCID 0000-0003-1078-2547
Janie A BrownDepartment of Anaesthesia, St John of God Midland Public and Private Hospitals, Perth, Western Australia.
Eugene TuyishimeDepartment Anesthesia, Critical Care, and Emergency Medicine, University of Rwanda, Rwanda.
Rodrigo Rubio MartinezDepartment of Anesthesiology, ABC Medical Center, Mexico City, Mexico.
Karima KhalidDepartment of Anesthesiology, Muhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania.
Patricia LivingstonDepartment of Anesthesia, Pain Management and Perioperative Medicine, Dalhousie University, Halifax, NS, Canada.

Funding

Australian and New Zealand College of Anaesthetists S23/002
6 · The paper itself

Abstract

introductionThe worldwide expansion in healthcare simulation training includes accelerated uptake in low-resource settings. Until recently, no framework has specifically delineated the competencies underpinning effective facilitation practice in low-resource settings. We describe the development of the Facilitation Behavioural Assessment Tool for simulation facilitation training and report reliability in scoring facilitation performance. This tool was informed by healthcare simulation facilitation practice in low-resource settings.

methodsThe tool has 32 facilitation competencies, organised across three performance categories (techniques, artistry and values) and a three-point scale is used for scoring. Following a short, self-directed online training module, participants scored three videos that depicted facilitation performance at three levels. Videos were presented in a random order. Intraclass correlations and internal consistency with Cronbach's α were calculated. A random intercepts 3 × 3 linear mixed model assessed discrimination across the three levels of facilitation performance and the influence of previous facilitation on scoring.

resultsIn total, 104 participants from 29 countries completed rater training and scored at least one video. The inter-rater reliability was 0.73 (95%CI 0.66-0.79) and 0.89 (95%CI 0.85-0.92) for the intraclass correlation coefficient 2 and intraclass correlation coefficient 2k, respectively. Cronbach's α was 0.84 (95%CI 0.79-0.89) for the positive video; 0.84 (95%CI 0.78-0.88) for the mixed video; and 0.91(95%CI 0.87-0.93) for the negative video. Previous simulation facilitation experience did not affect the ability to distinguish between the videos meaningfully, but novice facilitators scored facilitation behaviours higher for mixed and negative videos compared with participants with intermediate and high levels of experience. DISCUSSION: Our study shows that suitable reliability and internal consistency can be achieved when using the Facilitation Behavioural Assessment Tool. We recommend using the tool to support learning conversations for simulation faculty development in low-resource settings.

Indexed as

AnesthesiologyClinical CompetenceSimulation TrainingDeveloping CountriesEducational MeasurementHumansReproducibility of ResultsVideo Recordingassessmentfacilitationlow‐resource settingssimulationvalidity argument

Identifiers

PMID40296384
PMCPMC12434456

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.