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Published on: May 8, 2021
Navigating discourses of feedback: developing a pattern system of feedback
Catherine Patocka1,2,3, Lara Cooke4, Irene W Y Ma5,6
1Department of Emergency Medicine, University of Calgary Cumming School of Medicine, Calgary, Canada. catherine.patocka@ucalgary.ca.
Abstract:
Although feedback is often presented as if it were a well-understood concept in health professions education, in practice it can mean many things. For some, feedback is a conversation about defining and improving performance, while for others it is the information generated by assessments and tools. Indeed, feedback has variously been defined as a process, as data, as a conversation, and as a reflective exercise. As a result, for a concept so central to what educators do, 'feedback' is ambiguous and has multiple meanings. Pattern theory affords opportunities to examine what scholars and practitioners mean when they use the term 'feedback'. Elaborating feedback as a pattern system can connect otherwise disjointed discourses of feedback. In this paper, the authors describe the development of a pattern system of feedback in medical education. Arksey & O'Malley's 5-stages of scoping reviews were adapted to enact a 6-step pattern system development methodology that included (1) Identifying the research question and scope of inquiry; (2) elaborating a strategy for pattern identification; (3) study selection; (4) abductive pattern representation development; (5) pattern system testing; and (6) summarizing and reporting the results. A pattern system of feedback was developed based on review of 218 full text articles and testing against an additional 2833 citations. This pattern system is made up of 36 pattern representations organized under 6 domains: feedback referent, feedback intentions, feedback information, feedback processing, feedback response, and feedback meta. The pattern system was applied to two models of feedback to demonstrate its utility as a lens through which to analyze various instances of feedback and to foreshadow its potential broader applicability as a tool to facilitate knowledge synthesis in the feedback problem space.
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