Evidence map›Paper›PMID 36094680›Full record

ArticleAdvances in health sciences education : theory and practice2023

How progress evaluations are used in postgraduate education with longitudinal supervisor-trainee relationships: a mixed method study.

Marnix P D Westein, A S Koster, H E M Daelmans, M L Bouvy, R A Kusurkar

Abstract read
In one paragraph

Article in Advances in health sciences education : theory and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Marnix P D WesteinDepartment of Pharmaceutical Sciences, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, The Netherlands. m.p.d.westein@uu.nl.ORCID 0000-0002-9370-8125
A S KosterDepartment of Pharmaceutical Sciences, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, The Netherlands.ORCID 0000-0001-7772-4654
H E M DaelmansProgramme Director Master of Medicine, Faculty of Medicine Vrije Universiteit, Amsterdam, The Netherlands.ORCID 0000-0002-8387-2001
M L BouvyDepartment of Pharmaceutical Sciences, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, The Netherlands.ORCID 0000-0002-4596-0684
R A KusurkarResearch in Education, Faculty of Medicine Vrije Universiteit, Amsterdam, The Netherlands.ORCID 0000-0002-9382-0379

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination of measuring performance and giving feedback creates tension between formative and summative purposes of progress evaluations and can be challenging for supervisors. There are conflicting perspectives and evidence on the effects supervisor-trainee relationships have on assessing performance. The aim of this study was to learn how progress evaluations are used in postgraduate education with longitudinal supervisor-trainee relationships. Progress evaluations in a two-year community-pharmacy specialization program were studied with a mixed-method approach. An adapted version of the Canadian Medical Education Directives for Specialists (CanMEDS) framework was used. Validity of the performance evaluation scores of 342 trainees was analyzed using repeated measures ANOVA. Semi-structured interviews were held with fifteen supervisors to investigate their response processes, the utility of the progress evaluations, and the influence of supervisor-trainee relationships. Time and CanMEDS roles affected the three-monthly progress evaluation scores. Interviews revealed that supervisors varied in their response processes. They were more committed to stimulating development than to scoring actual performance. Progress evaluations were utilized to discuss and give feedback on trainee development and to add structure to the learning process. A positive supervisor-trainee relationship was seen as the foundation for feedback and supervisors preferred the roles of educator, mentor, and coach over the role of assessor. We found that progress evaluations are a good method for directing feedback in longitudinal supervisor-trainee relationships. The reliability of scoring performance was low. We recommend progress evaluations to be independent of formal assessments in order to minimize roles-conflicts of supervisors.

Indexed as

Education, MedicalLearningCanadaFeedbackHumansReproducibility of ResultsFeedbackLongitudinal relationshipPerformance assessmentPostgraduate educationProgress evaluationSupervisor

Identifiers

PMID36094680
PMCPMC9992254

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.