Table 4.
Hospital and surgeon volume and care outcomes (n = 81289 patients)
| 30-day mortality (1825 deaths) | Readmission (8653 readmissions) | |||||
|---|---|---|---|---|---|---|
| Value | Unadjusted Odds Ratio (95% CI) |
Adjusted odds - Adjusted for confounders only (95% CI) |
Adjusted* Odds Ratio - Adjusted for individual quality measures and confounders (95% CI) |
Unadjusted Odds Ratio (95% CI) |
Adjusted odds - Adjusted for confounders only (95% CI) |
Adjusted** Odds Ratio - Adjusted for individual quality measures (95% CI) |
| Hospital annual | ||||||
| volume | ||||||
| 1st quartile (lowest volume) | 1.07 (0.94, 1.22) | 1.23 (0.98, 1.55) | 1.14 (0.89, 1.45) | 1.28 (1.20, 1.36) | 1.24 (1.08, 1.42) | 1.22 (1.06, 1.41) |
| 2nd quartile | 0.87 (0.76, 0.99) | 1.10 (0.86, 1.41) | 1.12 (0.87, 1.44) | 1.21 (1.14, 1.29) | 1.19 (1.03, 1.36) | 1.16 (1.01, 1.33) |
| 3rd quartile | 1.06 (0.93, 1.21) | 1.22 (0.97, 1.53) | 1.28 (1.01, 1.61) | 1.26 (1.19, 1.35) | 1.22 (1.06, 1.40 | 1.21 (1.05, 1.39) |
| 4th quartile (highest volume) | Referent | Referent | Referent | Referent | Referent | Referent |
| Surgeon annual | ||||||
| volume | ||||||
| 1st quartile (lowest volume) | 1.27 (1.12, 1.45) | 1.26 (1.05, 1.51) | 1.26 (1.02, 1.56) | 1.07 (1.00, 1.14) | 1.06 (0.98, 1.15) | 1.02 (0.94, 1.11) |
| 2nd quartile | 1.08 (0.95, 1.24) | 1.11 (0.92, 1.33) | 1.11 (0.90, 1.36) | 1.06 (0.99, 1.13) | 1.09 (1.01, 1.17) | 1.05 (0.96, 1.15) |
| 3rd quartile | 0.98 (0.85, 1.12) | 1.04 (0.88, 1.23) | 1.03 (0.85, 1.24) | 1.05 (0.98, 1.12) | 1.04 (0.96, 1.13) | 1.03 (0.95, 1.12) |
| 4th quartile (highest volume) | Referent | Referent | Referent | Referent | Referent | Referent |
CI – Confidence interval
Confounders included in mortality models: age, gender, diagnosis-related group predicted mortality, congestive heart failure, hypertension, neurological disorders, diabetes with complications, renal failure, coagulopathy, deficiency anemia, and whether or not an internal mammary graft was used during the procedure.
Confounders included in readmission models: age, gender, race, insurance type, admission status, diagnosis-related group predicted mortality, chronic obstructive lung disease, peripheral vascular disease, diabetes, diabetes with complications, renal failure, electrolyte disorders, deficiency anemia, psychoses, depression, and geographic region.