The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Portfolios in medical education: why do they meet with mixed success? A systematic review
Abstract
Context The move towards competence‐based medical education has created a need for instruments that support and assess competence development. Portfolios seem suitable but mixed reports of their success are emerging. Methods To examine the effectiveness of portfolios, we searched PubMed and EMBASE using the keyword ‘portfol*’, PsychInfo and ERIC using the keywords ‘portfol*’ and ‘medical education’ and references of retrieved papers for empirical studies on portfolios in all phases of medical education. Thirty of 1939 retrieved papers met the inclusion criteria and were analysed. Data were collated against the research question, number of subjects, design, setting, findings and limitations, purpose and content, mentoring and assessment. We analysed impact using a modified version of Kirkpatrick’s hierarchy. Results Because differences across studies precluded statistical meta‐analysis, the data were analysed by context, goals and procedure. Positive effects were strongest in undergraduate education. Important factors for success were: clearly communicated goals and procedures; integration with curriculum and assessment; flexible structure; support through mentoring, and measures to heighten feasibility and reduce required time. Moderately good inter‐rater reliability was reported and global criteria and discussions among raters were beneficial. Formative and summative assessment could be combined. Without assessment, portfolios were vulnerable to competition from other summative assessment instruments. Conclusions For portfolios to be effective in supporting and assessing competence development, robust integration into the curriculum and tutor support are essential. Further studies should focus on the effectiveness and user‐friendliness of portfolios, the merits of holistic assessment procedures, and the competences of an effective portfolio mentor.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The assessment of clinical skills/competence/performance
Miller, G. E. (1990) · Academic Medicine · doi:10.1097/00001888-199009000-00045 · Cited by 4,883
Assessment in medical education
Epstein, R. M. (2007) · New England Journal of Medicine · doi:10.1056/nejmra054784 · Cited by 1,872
Self-Assessment in the Health Professions: A Reformulation and Research Agenda
Eva, K. W., & Regehr, G. (2005) · Academic Medicine · doi:10.1097/00001888-200510001-00015 · Cited by 992
Cited by
A model for programmatic assessment fit for purpose.
van der Vleuten, C. P. M., Schuwirth, L. W. T., Driessen, E. W., Dijkstra, J., Tigelaar, D., Baartman, L. K. J., & van Tartwijk, J. (2012) · Medical Teacher · doi:10.3109/0142159x.2012.652239 · Cited by 892
Self-citationKirkpatrick’s levels and education ‘evidence’
Yardley, S., & Dornan, T. (2012) · Medical Education · doi:10.1111/j.1365-2923.2011.04076.x · Cited by 477
Buckley, S., Coleman, J., Davison, I., Khan, K. S., Zamora, J., Malick, S., Morley, D., Pollard, D., Ashcroft, T., Popovic, C., et al. (2009) · Medical Teacher · doi:10.1080/01421590902889897 · Cited by 462
The assessment of professional competence: building blocks for theory development
van der Vleuten, C. P. M., Schuwirth, L. W. T., Scheele, F., Driessen, E. W., & Hodges, B. (2010) · Best Practice & Research Clinical Obstetrics & Gynaecology · doi:10.1016/j.bpobgyn.2010.04.001 · Cited by 334
Self-citationProgrammatic assessment of competency-based workplace learning: when theory meets practice
Bok, H. G., Teunissen, P. W., Favier, R. P., Rietbroek, N. J., Theyse, L. F., Brommer, H., Haarhuis, J. C., van Beukelen, P., van der Vleuten, C. P., & Jaarsma, D. A. (2013) · BMC Medical Education · doi:10.1186/1472-6920-13-123 · Cited by 303
Metadata
- Authors
- Driessen, E., Van Tartwijk, J., Van Der Vleuten, C., & Wass, V.
- Venue
- Medical Education
- Publisher
- Wiley
- Published
- 2007-11-28
- Volume
- 41
- Issue
- 12
- Pages
- 1224-1233
- ISSN
- 0308-0110 (ISSN-L)
- 1365-2923
- OpenAlex
- W2121089437
- Cited by
- 336
- References
- 3
- FWCI
- 2.51
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Portfolios in medical education: why do they meet with mixed success? A systematic review. https://app.cochat.ai/papers/10.1111/j.1365-2923.2007.02944.x
- The paper
- Driessen, E., Van Tartwijk, J., Van Der Vleuten, C., & Wass, V. (2007). Portfolios in medical education: why do they meet with mixed success? A systematic review. Medical Education. https://doi.org/10.1111/j.1365-2923.2007.02944.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.