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. Author manuscript; available in PMC: 2016 Jan 1.
Published in final edited form as: Ann Surg. 2015 Jan;261(1):2–8. doi: 10.1097/SLA.0000000000000765

Table 2.

Multivariate Analysis of Patient Satisfaction and Quality of Surgical Process and Outcomes

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.