Literature DB >> 34183607

Numbers Encapsulate, Words Elaborate: Toward the Best Use of Comments for Assessment and Feedback on Entrustment Ratings.

Shiphra Ginsburg1, Christopher J Watling2, Daniel J Schumacher3, Andrea Gingerich4, Rose Hatala5.   

Abstract

The adoption of entrustment ratings in medical education is based on a seemingly simple premise: to align workplace-based supervision with resident assessment. Yet it has been difficult to operationalize this concept. Entrustment rating forms combine numeric scales with comments and are embedded in a programmatic assessment framework, which encourages the collection of a large quantity of data. The implicit assumption that more is better has led to an untamable volume of data that competency committees must grapple with. In this article, the authors explore the roles of numbers and words on entrustment rating forms, focusing on the intended and optimal use(s) of each, with a focus on the words. They also unpack the problematic issue of dual-purposing words for both assessment and feedback. Words have enormous potential to elaborate, to contextualize, and to instruct; to realize this potential, educators must be crystal clear about their use. The authors set forth a number of possible ways to reconcile these tensions by more explicitly aligning words to purpose. For example, educators could focus written comments solely on assessment; create assessment encounters distinct from feedback encounters; or use different words collected from the same encounter to serve distinct feedback and assessment purposes. Finally, the authors address the tyranny of documentation created by programmatic assessment and urge caution in yielding to the temptation to reduce words to numbers to make them manageable. Instead, they encourage educators to preserve some educational encounters purely for feedback, and to consider that not all words need to become data.
Copyright © 2021 by the Association of American Medical Colleges.

Year:  2021        PMID: 34183607     DOI: 10.1097/ACM.0000000000004089

Source DB:  PubMed          Journal:  Acad Med        ISSN: 1040-2446            Impact factor:   6.893


  3 in total

Review 1.  Development of and Preliminary Validity Evidence for the EFeCT Feedback Scoring Tool.

Authors:  Shelley Ross; Deena Hamza; Rosslynn Zulla; Samantha Stasiuk; Darren Nichols
Journal:  J Grad Med Educ       Date:  2022-02

2.  Concordance of Narrative Comments with Supervision Ratings Provided During Entrustable Professional Activity Assessments.

Authors:  Andrew S Parsons; Kelley Mark; James R Martindale; Megan J Bray; Ryan P Smith; Elizabeth Bradley; Maryellen Gusic
Journal:  J Gen Intern Med       Date:  2022-06-16       Impact factor: 6.473

3.  Safeguarding fairness in assessments-How teachers develop joint practices.

Authors:  Linda Barman; Cormac McGrath; Staffan Josephsson; Charlotte Silén; Klara Bolander Laksov
Journal:  Med Educ       Date:  2022-03-14       Impact factor: 7.647

  3 in total

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