The Reported Validity and Reliability of Methods for Evaluating Continuing Medical Education: A Systematic Review
Bibliographic record
Abstract
PURPOSE: To appraise the reported validity and reliability of evaluation methods used in high-quality trials of continuing medical education (CME). METHOD: The authors conducted a systematic review (1981 to February 2006) by hand-searching key journals and searching electronic databases. Eligible articles studied CME effectiveness using randomized controlled trials or historic/concurrent comparison designs, were conducted in the United States or Canada, were written in English, and involved at least 15 physicians. Sequential double review was conducted for data abstraction, using a traditional approach to validity and reliability. RESULTS: Of 136 eligible articles, 47 (34.6%) reported the validity or reliability of at least one evaluation method, for a total of 62 methods; 31 methods were drawn from previous sources. The most common targeted outcome was practice behavior (21 methods). Validity was reported for 31 evaluation methods, including content (16), concurrent criterion (8), predictive criterion (1), and construct (5) validity. Reliability was reported for 44 evaluation methods, including internal consistency (20), interrater (16), intrarater (2), equivalence (4), and test-retest (5) reliability. When reported, statistical tests yielded modest evidence of validity and reliability. Translated to the contemporary classification approach, our data indicate that reporting about internal structure validity exceeded reporting about other categories of validity evidence. CONCLUSIONS: The evidence for CME effectiveness is limited by weaknesses in the reported validity and reliability of evaluation methods. Educators should devote more attention to the development and reporting of high-quality CME evaluation methods and to emerging guidelines for establishing the validity of CME evaluation methods.
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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 | 0.033 | 0.450 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads 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".