Abstract 9038: Success of Online CME at Improving Competence and Confidence Related to Treatment Adherence in Pulmonary Arterial Hypertension
Bibliographic record
Abstract
Introduction: Despite treatment advances in PAH, many patients have difficulty adhering to therapy, resulting in decreased persistence and poor outcomes. We sought to determine if online continuing medical education (CME) could improve the competence and confidence of cardiologists related to strategies to improve treatment adherence in PAH. Methods: This CME intervention comprised of a 15-minute online video-based rapid-fire discussion between 2 expert faculty. A repeated pairs pre-/post-assessment study design was used and McNemar’s test assessed significance (P <.05 is considered significant), with Cohen’s d being used to assess educational impact (.20-.49 a small effect, .50-.79 a moderate effect, and > .80 a large effect). The activity launched October 1, 2020 and data were collected through January 11, 2021. Results: In total, 180 cardiologists were included in the analysis. Overall, there were competence and confidence improvements seen among participants from pre- to post-assessment: • 13% of cardiologists (P<.01) improved at selecting the most appropriate PAH therapy for better adherence for a patient who requires treatment escalation due to intermediate-risk status yet struggles to follow a rigid medication schedule • 27% of cardiologists (P<.001) improved at selecting the most appropriate strategy to manage PAH treatment-related side effects • 36% of cardiologists had a measurable increase in confidence in ability to manage side effects during uptitration of PAH specific therapiesContinued educational gaps:• 61% of cardiologists failed to choose appropriate therapy to improve adherence for an intermediate-risk patient who struggles to follow a rigid medication schedule • 50% of cardiologists failed to select the most appropriate strategy to manage PAH treatment-related side effects Conclusions: This study demonstrates the success of online CME on improving competence and confidence of pulmonologists related to treatment adherence in PAH. Continued gaps were identified for future educational targets.
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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 | 0.002 | 0.008 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".