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Validity Evidence for STATUS to Assess Resident Tolerance for and Competence in Communicating Medical Ambiguity
Ariel S Frey-Vogel1, Kevin Ching2, Michael G Healy3
1Harvard Medical School and Mass General for Children (AS Frey-Vogel), Department of Pediatrics, Boston, Mass.
A new tool, the Scalable Tolerating Ambiguity/Uncertainty Tool Utilizing Simulation (STATUS), shows good reliability for assessing resident self-perceived ability to communicate medical ambiguity. Further development may improve faculty assessment reliability.
Area of Science:
- Medical Education
- Healthcare Communication
- Simulation-Based Assessment
Background:
- Effective communication of medical ambiguity is crucial for patient safety and resident training.
- Existing assessment tools lack validity evidence for evaluating this specific competence.
Purpose of the Study:
- To collect validity evidence for the Scalable Tolerating Ambiguity/Uncertainty Tool Utilizing Simulation (STATUS).
- To assess resident competence in communicating medical ambiguity using a novel simulation-based tool.
Main Methods:
- Developed and implemented the STATUS tool with avatar patients and simulated cases.
- Trained faculty raters and collected data from pediatric residents' self-assessments and faculty evaluations.
- Analyzed validity evidence including content, response process, internal structure, and relationships with other variables.
- Utilized generalizability theory to evaluate assessment reliability.
Main Results:
- The resident self-assessment component of STATUS demonstrated a Φ-coefficient of 0.72.
- Faculty rater assessment yielded a Φ-coefficient of 0.26, with potential improvement to 0.70 using 11 raters and 11 scenarios.
- Faculty rater training improved inter-rater reliability by 0.34 units.
Conclusions:
- The STATUS tool provides sufficient reliability for measuring resident self-assessment of tolerance for communicating medical ambiguity.
- Additional simulated scenarios are recommended to enhance the reliability of faculty-based assessments.
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