Abstract 23: Temporal Trends in Percutaneous Coronary Intervention Appropriateness: Insights from the Clinical Outcomes Assessment Program
Bibliographic record
Abstract
Background: It is unknown if the appropriate use of percutaneous coronary intervention (PCI) has improved over time and whether trends in PCI appropriateness have been accompanied by changes in the rate of PCI use. Methods: We applied 2012 Appropriate Use Criteria to determine the appropriateness of all 51,872 PCI performed in Washington State from 2010 through 2013. PCI procedural rates were studied from 2006 through 2013 to provide a comparator period that preceded statewide appropriateness assessment beginning in 2010. Procedural appropriateness and rates of use were determined separately for acute (ST segment elevation myocardial infarction, non-ST segment myocardial infarction, unstable angina) and elective (stable angina) indications. Results: Between 2010 and 2013, the overall rate of PCI decreased by 6.8% (13,267 PCI in 2010 to 12,193 in 2013) with a 43% decline in the rate of PCI for elective indications (3,818 PCI in 2010 to 2,193 PCI in 2013) (Figure). The rate of decline in elective PCI procedures was significantly larger following the onset of statewide PCI appropriateness assessment in 2010 (P = 0.03). The proportion of PCI for acute indications classified as appropriate remained >92% throughout the study period. The proportion of elective PCI classified as appropriate increased from 26% in 2010 to 38% in 2013 while the proportion of inappropriate PCI decreased from 16% to 13% (P<0.001 for trends) (Table). Improvements in the rate of inappropriate PCI were limited to the tertile of hospitals with the largest decline in PCI classified as inappropriate (25% in 2010 to 12% in 2013; P=0.03). Conclusions: In Washington State, the use of PCI for non-acute indications has decreased over time with concurrent improvements in PCI appropriateness. However, improvements in PCI appropriateness were limited to a minority of hospitals. Understanding processes at these high-performing hospitals may inform efforts to improve PCI appropriateness.
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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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".