To determine whether the relationship between hospital volume and mortality has changed over time.
It is generally accepted that hospital volume is associated with mortality in high-risk procedures. However, as surgical safety has improved over the last decade, recent evidence has suggested that the inverse relationship has diminished or been eliminated.
Using national Medicare claims data from 2000 through 2009, we examined mortality among 3,282,127 patients who underwent 1 of 8 gastrointestinal, cardiac, or vascular procedures. Hospitals were stratified into quintiles of operative volume. Using multivariable logistic regression models to adjust for patient characteristics, we examined the relationship between hospital volume and mortality, and assessed for changes over time. We performed sensitivity analyses using hierarchical logistic regression modeling with hospital-level random effects to confirm our results.
Throughout the 10-year period, a significant inverse relationship was observed in all procedures. In 5 of the 8 procedures studied, the strength of the volume-outcome relationship increased over time. In esophagectomy, for example, the adjusted odds ratio of mortality in very low volume hospitals compared to very high volume hospitals increased from 2.25 [95% confidence interval (CI): 1.57–3.23] in 2000–2001 to 3.68 (95% CI: 2.66–5.11) in 2008–2009. Only pancreatectomy showed a notable decrease in strength of the relationship over time, from 5.83 (95% CI: 3.64–9.36) in 2000–2001, to 3.08 (95% CI: 2.07–4.57) in 2008–2009.
For all procedures examined, higher volume hospitals had significantly lower mortality rates than lower volume hospitals. Despite recent improvements in surgical safety, the strong inverse relationship between hospital volume and mortality persists in the modern era.
Given recent controversy about persistence of the volume-outcome effect in the modern era, we used national Medicare data from the years 2000 to 2009 to evaluate 8 high-risk procedures for changes over time in the volume-outcome relationship.
From the Center for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor, MI.
Reprints: Bradley N. Reames, MD, MS, Center for Healthcare Outcomes and Policy, University of Michigan, Building 16, Room 100N-08, 2800 Plymouth Road, Ann Arbor, MI 48109. E-mail: email@example.com.
Disclosure: B.N.R. is supported by a grant from the National Cancer Institute (5T32CA009672-23). J.B.D. is supported by grant from the National Institute on Aging (5R01AG039434-03). These funding sources had no involvement in the manuscript herein. B.N.R. and A.A.G. have no conflicts of interest or disclosures related to the content of this manuscript. Both J.D.B. and J.B.D. have an equity interest in ArborMetrix, Inc, which provides software and analytics for measuring hospital quality and efficiency. The company had no role in this study.