Cited by 6Innovations in Medical EducationStudent Assessment and FeedbackClinical Reasoning and Diagnostic Skills

A qualitative textual analysis of feedback comments in ePortfolios: quality and alignment with the CanMEDS roles

Open access
Van Ostaeyen, Sofie, Embo, Mieke, Rotsaert, Tijs, De Clercq, Orphée, Schellens, Tammy, Valcke, Martin·2023·Perspectives on Medical Education

Abstract

Introduction: Competency-based education requires high-quality feedback to guide students’ acquisition of competencies. Sound assessment and feedback systems, such as ePortfolios, are needed to facilitate seeking and giving feedback during clinical placements. However, it is unclear whether the written feedback comments in ePortfolios are of high quality and aligned with the current competency focus. Therefore, this study investigates the quality of written feedback comments in ePortfolios of healthcare students, as well as how these feedback comments align with the CanMEDS roles. Methods: A qualitative textual analysis was conducted. 2,349 written feedback comments retrieved from the ePortfolios of 149 healthcare students (specialist medicine, general practice, occupational therapy, speech therapy and midwifery) were analysed retrospectively using deductive content analysis. Two structured categorisation matrices, one based on four literature-derived feedback quality criteria (performance, judgment, elaboration and improvement) and another one on the seven CanMEDS roles (Medical Expert, Communicator, Collaborator, Leader, Health Advocate, Scholar and Professional), guided the analysis. Results: The minority of the feedback comments (n = 352; 14.9%) could be considered of high quality because they met all four quality criteria. Most feedback comments were of moderate quality and met only two to three quality criteria. Regarding the CanMEDS roles, the Medical Expert role was most frequently represented in the feedback comments, as opposed to the roles Leader and Health Advocate. Discussion: The results highlighted that providing high-quality feedback is challenging. To respond to these challenges, it is recommended to set up individual and continuous feedback training.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.5334/pme.1050

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Many studies report that the quality of human feedback varies widely depending on the provider and the situation.

    “many studies report that the quality of human feedback varies widely depending on the provider and the situation [29-31]”

    From AI-Generated Versus Human Supervisor Feedback on Medical Students’ Clinical Clerkship Logs: Cross-Sectional Convergent Mixed Methods Study (2026) · cites this paper as [31]

    The Results (Quality of written feedback comments; page unavailable) classify comments as low, moderate, or high quality, showing variation in this study. The Discussion (page unavailable) cites one study associating quality with provider gender, but says variation by feedback phase is only possible and was not assessed. It does not establish that many studies found wide variation depending on both provider and situation. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [3]Frank JR. CanMEDS: a framework for teaching and assessing competencies. In: Sherbino J, Frank JR (Eds.) Educational design a CanMEDS guide for the health professions. Ottawa: Royal College of Physicians and Surgeons; 2011. pp. 17– 22.

Cited by

Sorted by citations

Authors
Van Ostaeyen, S., Embo, M., Rotsaert, T., De Clercq, O., Schellens, T., & Valcke, M.
Affiliations
  • University of Antwerp (BE)
  • Ghent University (BE)
Venue
Perspectives on Medical Education
Published
2023-12-22
Volume
12
Issue
1
Pages
584-593
ISSN
  • 2212-2761 (ISSN-L)
  • 2212-277X
OpenAlex
W4390105133
Cited by
6
References
49
Citations by year
2026: 2 · 2025: 3 · 2023: 1
FWCI
1.54
Type
journal article
Language
en
Open access
Locations
  • Perspectives on Medical Education (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Ghent University Academic Bibliography (Ghent University) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Research Foundation Flanders (FWO, Strategic Basic Research (SBO)) (S003219N)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
  • Social Sciences › Education › Student Assessment and Feedback
  • Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
Keywords
e-portfolio, written feedback, feedback quality, CanMEDS roles, competency-based education, clinical practicum, health professions students, medical expertise, feedback training, medical education assessment
MeSH terms
Clinical Competence, Competency-Based Education, Feedback, Humans, Medicine, Retrospective Studies

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review