Abstract TP33: Statewide Trends in Utilization of Endovascular Treatment and Outcomes: Analysis of Minnesota Hospital Association Data (2014 and 2015)
Bibliographic record
Abstract
Background: There is emphasis on understanding the implementation of clinical trial results for clinical practice. The aim of this study is to examine the changes in endovascular procedures utilization after the publication of the recent clinical trials showing benefit of such procedures in patients with acute ischemic stroke (AIS). Methods: Minnesota Hospital Association (MHA) database was used to calculate the state wide utilization rates for two periods: prior to (January 1st-December 31st, 2014) and after (January 1 st -December 31 st , 2015) publication of randomized clinical trials. MHA collects data from 137 member hospitals for monitoring and reporting healthcare quality and cost across the state. Patients with admitting diagnosis of AIS and those who received endovascular treatment were identified using ICD9 or ICD10 codes. Utilization rates for endovascular treatment were calculated monthly, quarterly, and annually. Discharge to home was considered as the measure of none to minimal disability. Results: Of the 13,043 patients admitted with the diagnosis of AIS, 434 patients (mean age 68.5± 25.5 years; 51.2% women) received endovascular treatment. The number of procedures increased from 194 in 2014 to 240 in 2015. Utilization rate was 3.4% in the first quarter of 2014, gradually declined to reach its lowest value (2.6%) in the last quarter of 2014, then steadily increased to reach its peak (4%) in the last quarter of 2015. Procedures performed at comprehensive stroke centers increased from 52% of total procedures in 2014 to 57.5% in 2015 while those performed at primary stroke centers decreased from 22.6% in 2014 to 19.5% in 2015. In 2015, fewer patients had hypertension (50.4% vs. 60.3%; p=0.039) and more patients had chronic kidney disease (28.3% vs. 15.5%; p=0.001). Intracranial hemorrhage and mortality rates were not significantly different between the two years. There was a trend towards higher rate of minimal or no disability at discharge among patients treated in 2015 compared with those treated in 2014 (22.5% versus 18.1%, p=0.25). Conclusion: We observed a state wide increase in rate of utilization of endovascular treatment of AIS patients coinciding with the publication of the results of new clinical trials.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".