Update in Internal Medicine Residency Education: A Review of the Literature in 2010 and 2011
Bibliographic record
Abstract
BACKGROUND: Evidence-based practice in education requires high-quality evidence, and many in the medical education community have called for an improvement in the methodological quality of education research. OBJECTIVE: Our aim was to use a valid measure of medical education research quality to highlight the methodological quality of research publications and provide an overview of the recent internal medicine (IM) residency literature. METHODS: We searched MEDLINE and PreMEDLINE to identify English-language articles published in the United States and Canada between January 1, 2010, and December 31, 2011, focusing on IM residency education. Study quality was assessed using the Medical Education Research Study Quality Instrument (MERSQI), which has demonstrated reliability and validity. Qualitative articles were excluded. Articles were ranked by quality score, and the top 25% were examined for common themes, and 2 articles within each theme were selected for in-depth presentation. RESULTS: The search identified 731 abstracts of which 223 articles met our inclusion criteria. The mean (±SD) MERSQI score of the 223 studies included in the review was 11.07 (±2.48). Quality scores were highest for data analysis (2.70) and lowest for study design (1.41) and validity (1.29). The themes identified included resident well-being, duty hours and resident workload, career decisions and gender, simulation medicine, and patient-centered outcomes. CONCLUSIONS: Our review provides an overview of the IM medical education literature for 2010-2011, highlighting 5 themes of interest to the medical education community. Study design and validity are 2 areas where improvements in methodological quality are needed, and authors should consider these when designing research protocols.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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; a candidate call from one teacher head, not a consensus.
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".