ArticleCureus2022
The Impact of Electronic Data to Capture Qualitative Comments in a Competency-Based Assessment System.
Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Competency-Based Health Professions Education in Evolution: Challenges and Adaptations After Implementation.Perspectives on medical education · 2026Article
- Use the right words: evaluating the effect of word choice and word count on quality of narrative feedback in ophthalmology competency-based medical education assessments.Canadian medical education journal · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Digitalizing workplace-based assessments (WBA) holds the potential for facilitating feedback and performance review, wherein we can easily record, store, and analyze data in real time. When digitizing assessment systems, however, it is unclear what is gained and lost in the message as a result of the change in medium. This study evaluates the quality of comments generated in paper vs. electronic media and the influence of an assessor's seniority. Methods Using a realist evaluation framework, a retrospective database review was conducted with paper-based and electronic medium comments. A sample of assessments was examined to determine any influence of the medium on the word count and the Quality of Assessment for Learning (QuAL) score. A correlation analysis evaluated the relationship between word count and QuAL score. Separate univariate analyses of variance (ANOVAs) were used to examine the influence of the assessor's seniority and medium on word count, QuAL score, and WBA scores. Results The analysis included a total of 1,825 records. The average word count for the electronic comments (M=16) was significantly higher than the paper version (M=12; p=0.01). Longer comments positively correlated with QuAL score (r=0.2). Paper-based comments received lower QuAL scores (0.41) compared to electronic (0.51; p<0.01). Years in practice was negatively correlated with QuAL score (r=-0.08; p<0.001) as was word count (r=-0.2; p<0.001). Conclusion Digitization of WBAs increased the length of comments and did not appear to jeopardize the quality of WBAs; these results indicate higher-quality assessment data. True digital transformation may be possible by harnessing trainee data repositories and repurposing them to analyze for faculty-relevant metrics.
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Registered trials
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.