Background: Recent healthcare reform has spurred important changes to provider reimbursement. With the implementation of the Value Based Purchasing program, significant weight is placed on patient experience of care. The Press Ganey (PG) survey is currently used by over 10,000 hospitals, as it serves to help optimize patient satisfaction. However, confounding factors, such as clinical depression, are not screened against by PG. Thus, arthroplasty surgeons performing lower extremity total joint arthroplasty (TJA) may have difficulty optimizing patient satisfaction while caring for patients with clinical depression. Therefore, we asked: 1) What Press Ganey elements affect the overall hospital rating in patients who suffer from clinical depression? and 2) Are survey responses different between patients who do and do not have clinical depression?
Materials and methods: We queried our institutional PG database for patients who underwent a TJA from November 2009 to January 2015. Our search yielded 1,454 patients, of which 204 suffered from depression and 1,250 did not. Multiple regression analysis was performed to determine the influence (b weight) of selected PG survey domains on overall hospital rating. The weighted mean for domain was also calculated.
Results: Multiple regression analyses showed that overall hospital ratings were significantly influenced by communication with nurses (b-weight = 0.881, p< 0.001) in post-TJA patients with depression. The remaining domains were not statistically significant. There were no significant differences in individual PG elements for patients who did and did not have depression.
Conclusion: Overall patient satisfaction among patients with depression was greatly influenced by communication with nurses. Understanding these challenges may encourage care coordination across disciplines for the management of patients with depression before and after surgery. As a result, this could optimize orthopedic surgery outcomes, but, more importantly, patient health and satisfaction, while reducing costs of care.