Quality of randomised controlled trials in medical education reported between 2012 and 2013: a systematic review protocol
Bibliographic record
Abstract
INTRODUCTION: Research in medical education has increased in volume over the past decades but concerns have been raised regarding the quality of trials conducted within this field. Randomised controlled trials (RCTs) involving educational interventions that are reported in biomedical journals have been criticised for their insufficient conceptual, theoretical framework. RCTs published in journals dedicated to medical education, on the other hand, have been questioned regarding their methodological rigour. The aim of this study is therefore to assess the quality of RCTs of educational interventions reported in 2012 and 2013 in journals dedicated to medical education compared to biomedical journals with respect to objective quality criteria. METHODS AND ANALYSIS: RCTs published between 1 January 2012 and 31 December 2013 in English are included. The search strategy is developed with the help of experienced librarians to search online databases for key terms. All of the identified RCTs are screened based on their titles and abstracts individually by the authors and then compared in pairs to assess agreement. Data are extracted from the included RCTs by independently scoring each RCT using a data collection form. The data collection form consists of four steps. Step 1 includes confirmation of RCT eligibility; step 2 consists of the CONSORT checklist; step 3 consists of the Medical Education Research Study Quality Instrument framework; step 4 consists of a Medical Education Extension (MEdEx) to the CONSORT checklist. The MEdEx includes the following elements: Description of scientific background, explanation of rationale, quality of research questions and hypotheses, clarity in the description of the use of the intervention and control as well as interpretation of results. ETHICS AND DISSEMINATION: This review is the first to systematically examine the quality of RCTs conducted in medical education. We plan to disseminate the results through publications and presentation at relevant conferences. Ethical approval is not sought for this review.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.202 | 0.202 |
| Meta-epidemiology (narrow) | 0.007 | 0.007 |
| Meta-epidemiology (broad) | 0.022 | 0.018 |
| Bibliometrics | 0.017 | 0.017 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.011 | 0.009 |
| Insufficient payload (model declined to judge) | 0.052 | 0.011 |
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".