Hospital Quality Metrics for Radical Cystectomy: Disease Specific and Correlated to Mortality Outcomes.

PURPOSE

Measuring quality is a high priority for health care systems globally. Despite the high perioperative morbidity, mortality, expenditures and performance variation of radical cystectomy there is a paucity of validated bladder cancer quality metrics. We aimed to create a hospital quality scoring system for radical cystectomy which is disease specific and associated with patient centered outcomes.

MATERIALS AND METHODS

We used the National Cancer Database to identify hospitals where radical cystectomy was performed from 2004 to 2014. Mixed effects models were constructed to assess variation in hospital performance across 7 quality indicators. Indirect standardization was used to case mix adjust hospital performance. We assessed associations between quality indicators as well as the novel BC-QS (Bladder Cancer Quality Score) composite hospital quality metric with 30-day, 90-day and overall mortality using logistic and Cox regression, respectively.

RESULTS

At 1,200 facilities radical cystectomy was performed in a total of 48,341 patients from 2004 to 2014. Mixed effects models demonstrated significant between hospital variation across all quality indicators after case mix adjustment. The composite BC-QS metric was composed of the hospital positive margin rate, the lymph node dissection rate and the neoadjuvant chemotherapy rate. Better BC-QS performance was associated with lower 30-day and 90-day mortality (adjusted OR 0.78, 95% CI 0.64-0.96, and OR 0.84, 95% CI 0.72-0.97, respectively) and overall mortality (HR 0.86, 95% CI 0.81-0.92). Hospitals with a higher BC-QS had higher volume and more were affiliated with an academic institution than hospitals with a lower BC-QS (p <0.0001).

CONCLUSIONS

The BC-QS captures variations in the hospital performance of radical cystectomy and it shows an association of higher quality with lower patient mortality. Our validation of this quality metric provides support for its potential use by policy makers and payers in efforts to measure hospital quality for high cost surgeries.