Increasing likelihood of prescribing recommended lipid management
Bibliographic record
Abstract
OBJECTIVE: To explore whether participation in a series of cardiology continuing medical education (CME) activities affects primary care providers' (PCPs') lipid management for their patients. DESIGN: This retrospective cohort study used a database of participation in cardiology CME activities (2011 to 2017) linked to electronic medical records. Statistical analyses were completed using logistic regression with generalized estimating equations. SETTING: Manitoba. PARTICIPANTS: Patients receiving care from 225 PCPs participating in the Manitoba Primary Care Research Network. MAIN OUTCOME MEASURES: Recommended lipid management was defined as prescription of statins (yes or no) among patients diagnosed with cardiovascular disease (CVD), patients diagnosed with diabetes mellitus (DM; 40 years or older), and patients diagnosed with chronic kidney disease (CKD; 50 years and older) in 2017. Treatment was identified using the ATC (Anatomical Therapeutic Chemical) system (ATC code C10AA or C10B). RESULTS: After adjusting for relevant confounders, the odds of prescribing statins to patients with CVD, DM, or CKD among PCPs who did not participate in the cardiology CME activities were 50%, 55%, and 67% lower, respectively, than among PCPs who participated in 2 or more activities. The odds of prescribing statins to patients with CVD and DM among PCPs who participated in only 1 cardiology CME activity were also 67% and 63% lower, respectively, than among PCPs who participated in 2 or more activities. CONCLUSION: Results suggested that PCPs who participated in 2 or more cardiology CME activities were more likely to prescribe recommended lipid management (statins) for adults with CVD, DM, or CKD.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; 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".