Measuring Satisfaction: Factors that Drive Hospital Consumer Assessment of Healthcare Providers and Systems Survey Responses in a XXXX and Acute Care Surgery Population.

@entity1 @entity158 @entity130
Hospital quality metrics now reflect @entity1 satisfaction and are measured by Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) surveys. Understanding these metrics and drivers will be integral in providing quality care as this process evolves. This study identifies factors associated with @entity1 satisfaction as determined by HCAHPS survey responses in @entity130 and acute care surgery @entity1 . HCAHPS survey responses from acute care surgery and @entity130 @entity1 at a single institution between 3/11 and 10/12 were analyzed. Logistic regression determined which responses to individual HCAHPS questions predicted highest hospital score (a rating of 9-10/10). Demographic and clinical variables were also analyzed as predictors of satisfaction. Subgroup analysis for @entity130 @entity1 was performed. In 70.3 per cent of 182 total survey responses, a 9-10/10 score was given. The strongest predictors of highest hospital ranking were respect from doctors (odds ratio [OR] = 24.5, confidence interval [CI]: 5.44-110.4), doctors listening (OR: 9.33, CI: 3.7-23.5), nurses' listening (OR = 8.65, CI: 3.62-20.64), doctors' explanations (OR = 8.21, CI: 3.5-19.2), and attempts to control @entity158 (OR = 7.71, CI: 3.22-18.46). Clinical factors and outcomes (complications, intensive care unit/hospital length of stay, mechanism of injury, and having an operation) were nonsignificant variables. For @entity130 @entity1 , Injury Severity Score was inversely related to score (OR = 0.93, CI: 0.87-0.98). Insurance, education, and disposition were also tied to satisfaction, whereas age, gender, and ethnicity were nonsignificant. In conclusion, @entity1 perception of interactions with the healthcare team was most strongly associated with satisfaction. Complications did not negatively influence satisfaction. Insurance status might potentially identify @entity1 at risk of dissatisfaction. Listening to @entity1 , treating them with respect, and explaining the care plan are integral to a positive perception of hospital stay.
