1 / 10

Variation in Volume-Outcome Relationships for Hospitals and Surgeons Performing CABG Surgery

Variation in Volume-Outcome Relationships for Hospitals and Surgeons Performing CABG Surgery. Christopher P. Gorton MD, MHSA Jayne L. Jones MPH Christopher S. Hollenbeak PhD David B. Campbell MD Diane L. Arke MS. Research Objectives:.

oceana
Télécharger la présentation

Variation in Volume-Outcome Relationships for Hospitals and Surgeons Performing CABG Surgery

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Variation in Volume-Outcome Relationships for Hospitals and Surgeons Performing CABG Surgery Christopher P. Gorton MD, MHSA Jayne L. Jones MPH Christopher S. Hollenbeak PhD David B. Campbell MD Diane L. Arke MS

  2. Research Objectives: • To describe the variation in risk-adjusted outcomes for individual surgeons and hospitals with similar case volumes • To examine the association between case volume and two outcomes, 30-day mortality rates and 7-day readmission rates, for surgeons and hospitals

  3. Methods Isolated CABG surgeries, 2002: 16,435 patients; 62 non-federal Pennsylvania hospitals; 190 surgeons Retrospective analysis of administrative and medical record abstracted data reflecting statewide experience. Generalized estimating equations (GEE) framework used to account for the correlations between patients treated by the same surgeons and at the same hospital.

  4. Principal Findings • Wide variation was seen between and within outcome measures at all volume levels • Extreme mortality observations were demonstrated across the entire volume spectrum. • Likelihood of patient death within thirty days decreased as surgeon case volume increased (adjusted risk ratio [RR] for each 25 case increment, 0.93; 95% confidence interval [CI], 0.87-0.99; P=0.031).

  5. Regression Coefficients

  6. Surgeon Volume-Mortality Scatter Plot

  7. Results of Simulated Policy of Referral to Mid-High Volume Surgeons • Modeled outcomes of 1,000 simulated choices in each of 8 regions, in which patients of low volume surgeons were reassigned to surgeons with mid-high volumes in the same region • Statewide Mortality Risk Ratio, Observed vs. Simulation: 1.080 (95% CI: 0.927 to 1.260) • With selective referral, predicted lives saved = 23, but 15.9% probability of increased lives lost

  8. Surgeon Mortality: Actual vs. Simulated

  9. Probability Distribution of Predicted Lives Saved by Simulated Policy

  10. Conclusions • For individual consumers, surgeon volume is a weak predictor of mortality and re-admission • Large scale implementation of a selective CABG referral policy has non-trivial probability of negative public health impact • Lack of correlation among four studied outcome measures highlights need for multi-dimensional performance measurement

More Related