Table 2.
Multivariate Adjusted Surgical Process Score |
P-Value | Multivariate Adjusted Surgical Readmission Rate |
P- Value |
Multivariate Adjusted Surgical Mortality Rate |
P- Value |
|
---|---|---|---|---|---|---|
Patient Satisfaction | ||||||
Lowest Quartile | 95.5 | <0.001 | 13.6% | <0.001 | 3.6% | <0.001 |
2nd Quartile | 95.8 | 12.8% | 3.3% | |||
3rd Quartile | 96.1 | 12.6% | 3.4% | |||
Highest Quartile | 96.5 | 12.3% | 3.1% |
Three separate multivariate regression models with Surgical Care Improvement Project (SCIP) Process Score, risk-adjusted surgical readmission rate, and risk-adjusted perioperative mortality rate as the dependent variables and patient satisfaction score as the predictor. Patient satisfaction corresponds to percentage of patients that would “definitely recommend” a hospital by the HCAHPS survey. Models adjust for bed size, profit status, teaching status, region, rural location, and percent surgical discharges. The readmissions and mortality models additional adjust for performance on the SCIP process score. P-value for trend is <0.001.