Literature DB >> 18564093

Assessing the quality of supervisors' completed clinical evaluation reports.

Nancy L Dudek1, Meridith B Marks, Timothy J Wood, A Curtis Lee.   

Abstract

CONTEXT: Although concern has been raised about the value of clinical evaluation reports for discriminating among trainees, there have been few efforts to formalise the dimensions and qualities that distinguish effective versus less useful styles of form completion.
METHODS: Using brainstorming and a modified Delphi technique, a focus group determined the key features of high-quality completed evaluation reports. These features were used to create a rating scale to evaluate the quality of completed reports. The scale was pilot-tested locally; the results were psychometrically analysed and used to modify the scale. The scale was then tested on a national level. Psychometric analysis and final modification of the scale were completed.
RESULTS: Sixteen features of high-quality reports were identified and used to develop a rating scale: the Completed Clinical Evaluation Report Rating (CCERR). The reliability of the scale after a national field test with 55 raters assessing 18 in-training evaluation reports (ITERs) was 0.82. Further revisions were made; the final version of the CCERR contains nine items rated on a 5-point scale. With this version, the mean ratings of three groups of 'gold-standard' ITERs (previously judged to be of high, average and poor quality) differed significantly (P < 0.05). DISCUSSION: The CCERR is a validated scale that can be used to help train supervisors to complete and assess the quality of evaluation reports.

Mesh:

Year:  2008        PMID: 18564093     DOI: 10.1111/j.1365-2923.2008.03105.x

Source DB:  PubMed          Journal:  Med Educ        ISSN: 0308-0110            Impact factor:   6.251


  14 in total

1.  Comparing the Ottawa Emergency Department Shift Observation Tool (O-EDShOT) to the traditional daily encounter card: measuring the quality of documented assessments.

Authors:  Kaitlin Endres; Nancy Dudek; Meghan McConnell; Warren J Cheung
Journal:  CJEM       Date:  2021-01-29       Impact factor: 2.410

2.  A Document Analysis of Nationally Available Faculty Assessment Forms of Resident Performance.

Authors:  Judith C French; Lily C Pien
Journal:  J Grad Med Educ       Date:  2021-12-14

Review 3.  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

4.  Daily Evaluation Cards Are Superior for Student Assessment Compared to Single Rater In-Training Evaluations.

Authors:  James Johnston; Maury Pinsk
Journal:  Med Sci Educ       Date:  2019-12-12

5.  Advancing Our Understanding of Narrative Comments Generated by Direct Observation Tools: Lessons From the Psychopharmacotherapy-Structured Clinical Observation.

Authors:  John Q Young; Rebekah Sugarman; Eric Holmboe; Patricia S O'Sullivan
Journal:  J Grad Med Educ       Date:  2019-10

6.  Daily Encounter Cards-Evaluating the Quality of Documented Assessments.

Authors:  Warren J Cheung; Nancy Dudek; Timothy J Wood; Jason R Frank
Journal:  J Grad Med Educ       Date:  2016-10

7.  The Ottawa Emergency Department Shift Observation Tool (O-EDShOT): A New Tool for Assessing Resident Competence in the Emergency Department.

Authors:  Warren J Cheung; Timothy J Wood; Wade Gofton; Sebastian Dewhirst; Nancy Dudek
Journal:  AEM Educ Train       Date:  2019-12-19

8.  Summative assessment in a doctor of pharmacy program: a critical insight.

Authors:  Kerry Wilbur
Journal:  Adv Med Educ Pract       Date:  2015-02-17

9.  How does culture affect experiential training feedback in exported Canadian health professional curricula?

Authors:  Kerry Wilbur; Rasha Mousa Bacha; Somaia Abdelaziz
Journal:  Int J Med Educ       Date:  2017-03-17

10.  Does faculty development influence the quality of in-training evaluation reports in pharmacy?

Authors:  Kerry Wilbur
Journal:  BMC Med Educ       Date:  2017-11-21       Impact factor: 2.463

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