Artikel ; Online: Mindfulness-Based Teaching Competency Assessment: Comparing Self-Assessment With Expert Evaluation in the Veterans Administration - Compassionate Awareness Learning Module Program.
Global advances in integrative medicine and health
2023 Band 12, Seite(n) 27536130231197654
Abstract: Background: Meditation, including Mindfulness-Based Interventions (MBI), is a required Complementary and Integrative Health intervention at the US Department of Veterans Affairs (VA). Training VA clinicians to provide MBI at scale must address fidelity ... ...
Abstract | Background: Meditation, including Mindfulness-Based Interventions (MBI), is a required Complementary and Integrative Health intervention at the US Department of Veterans Affairs (VA). Training VA clinicians to provide MBI at scale must address fidelity concerns and the assessment of clinician competency. Objective: The psychometric properties of the Mindfulness-Based Intervention: Teaching Assessment Criteria (MBI:TAC), a widely used tool for assessing facilitator competence, continue to be explored. To support the dissemination of MBI, the utility of using the MBI:TAC for self-assessment for clinicians in a national training program was evaluated. Methods: In a training cohort of VA clinicians (n = 39), participant self evaluations on 2 domains of the MBI:TAC are compared to the competency scores of 2 expert evaluators as based on the observations of a 10-minute exercise. Additionally, the inter-rater reliability between the 2 experts was explored. Results: Intraclass Correlation for the 2 expert evaluators for Guiding Practice was significant ( Conclusion: The MBI:TAC, while an essential tool in teacher training, may not produce accurate scores when used for self-assessment. Instruction from a senior teacher is needed for accurate scoring. Interrater reliability may be improved with enhanced domain operationalization and training. Implications for MBI training are explored. |
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Sprache | Englisch |
Erscheinungsdatum | 2023-09-07 |
Erscheinungsland | United States |
Dokumenttyp | Journal Article |
ISSN | 2753-6130 |
ISSN (online) | 2753-6130 |
DOI | 10.1177/27536130231197654 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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