The effect of a regional care model on cardiac catheterization rates in patients with Acute Coronary Syndromes
Bibliographic record
Abstract
BACKGROUND: Patients with ACS often present to community hospitals without on-site cardiac catheterization and revascularization therapies. Transfer to specialized cardiac procedural centers is necessary to provide access to these procedures. We evaluated process of care within a regional care model by comparing cardiac catheterization and revascularization rates and outcomes in ACS patients presenting to community and interventional hospitals. METHODS: We evaluated a total of 6154 patients with ACS admitted to Southern Alberta hospitals (where a distinct regional care model for ACS exists) between January 1, 2005 and December 31, 2009. We compared cardiac catheterization and revascularization rates during index hospitalization among patients admitted to community and interventional hospitals. Thirty day and 1-year survival were also evaluated. RESULTS: Catheterization was performed more often in patients presenting to community hospitals compared to the interventional facility (respectively 69.5% and 51.4%, p < 0.0001). Catheterization within 72 hours of admission occurred in 48% of patients presenting to the interventional center and in 68.3% of community patients (P < 0.0001). In patients undergoing catheterization, revascularization (PCI and/or CABG) was also performed more frequently in the community group (74.5% vs 56.1%, P < 0.0001). Risk adjusted mortality rates were the same for patients undergoing cardiac catheterization regardless of hospital of initial presentation. CONCLUSION: ACS patients presenting to community centers associated with a regional care model had effective access to cardiac catheterization and revascularization. These findings support the importance of regional initiatives and processes of care that facilitate access to cardiac catheterization for all ACS patients.
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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 | 0.001 | 0.007 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".