Scoping reviews in medical education: A scoping review
Bibliographic record
Abstract
Abstract Purpose The purpose of this study was to characterize the extent, range, and nature of scoping reviews published in core medical education journals. In so doing, the authors identify areas for improvement in the conduct and reporting of scoping reviews, and highlight opportunities for future research. Method The authors searched PubMed for scoping reviews published between 1999 through April 2020 in 14 medical education journals. From each review, the authors extracted and summarized key bibliometric data, the rationales given for conducting a scoping review, the research questions, and key reporting elements as described in the PRISMA-ScR reporting guidelines. Rationales and research questions were mapped to the reasons for conducting a scoping review, as described by Arksey and O’Malley. Results One hundred and one scoping reviews were included. On average 10.1 scoping reviews (MED=4, SD=13.08) were published annually with the most reviews published in 2019 (n=42) in 13 of the included 14 journals reviewed. Academic Medicine published the most scoping reviews (n=28) overall. Authors described multiple reasons for undertaking scoping reviews, including to: summarize and disseminate research findings (n=77); examine the extent, range, and nature of research activity in a given area (n=74); and to analyze an emerging topic or heterogenous literature base (n=46). In 11 reviews there was alignment between the rationales for the scoping review and the stated research questions. No review addressed all elements of the PRISMA-ScR, with only a minority of authors publishing a protocol (n=2) or including stakeholders (n=20). Authors identified several shortcomings of scoping review methodology, including being unable to critically assess the included studies. Conclusions Medical educators are increasingly conducting scoping reviews with a desire to characterize the literature on a topic. There is room for improvement in the reporting of scoping reviews, including the alignment of research questions, the creation and publishing of protocols, and the inclusion of external stakeholders in published works.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.239 | 0.433 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.009 | 0.007 |
| Bibliometrics | 0.062 | 0.058 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.024 | 0.024 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".