ArticlePEC innovation2023
Using nominal group technique to determine skills that applied improvisation can teach health profession education learners.
Article in PEC innovation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Improv as cognitive activity.Frontiers in aging neuroscience · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Applied improvisation (AI) is an approach used in health professions (HP) education to teach skills essential for clinical practice such as communication, teamwork, and empathy. Little is known about which skills can be developed using AI, or those which an AI should prioritize. Our research aims to identify skills essential to include in an AI curriculum for HP learners. Methods: A modified nominal group technique (NGT) was conducted to identify and prioritize specific skills which can be taught using AI. This involved silent generation of ideas, round robin, discussions, 2-rounds of preliminary voting, and a final ranking survey to determine a prioritized list of skills to include in an AI curriculum for HP learners. Results: Six content experts participated in the NGT meeting. Initially, 83 skills were identified, and through NGT, a final list of 11 skills essential to an AI curriculum were determined including: adaptability, affirmation of others, acceptance, active listening, being present, cooperation, collaboration with other, advancement, compassionate communication, sharpened non-verbal communication, resilience. Conclusion: Essential skills for an AI curriculum relate to adaptability, attunement, collaboration, affirmation, and advancement. Innovation: This study is a novel application of NGT as a strategy to organize an approach to curriculum innovations.
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Registered trials
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.