Exploring Content Relationships Among Components of a Multisource Feedback Program.

PROFESSIONAL practice; PROFESSIONAL employee training; HUMAN services programs; QUALITY assurance; DESCRIPTIVE statistics; DATA analytics; STATISTICAL sampling; DATA analysis software; LONGITUDINAL method

Introduction: A new multisource feedback (MSF) program was specifically designed to support physician quality improvement (QI) around the CanMEDS roles of Collaborator , Communicator , and Professional. Quantitative ratings and qualitative comments are collected from a sample of physician colleagues, co-workers (C), and patients (PT). These data are supplemented with self-ratings and given back to physicians in individualized reports. Each physician reviews the report with a trained feedback facilitator and creates one-to-three action plans for QI. This study explores how the content of the four aforementioned multisource feedback program components supports the elicitation and translation of feedback into a QI plan for change. Methods: Data included survey items, rater comments, a portion of facilitator reports, and action plans components for 159 physicians. Word frequency queries were used to identify common words and explore relationships among data sources. Results: Overlap between high frequency words in surveys and rater comments was substantial. The language used to describe goals in physician action plans was highly related to respondent comments, but less so to survey items. High frequency words in facilitator reports related heavily to action plan content. Discussion: All components of the program relate to one another indicating that each plays a part in the process. Patterns of overlap suggest unique functions conducted by program components. This demonstration of coherence across components of this program is one piece of evidence that supports the program's validity. [ABSTRACT FROM AUTHOR]

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