Hospital Volume and Surgical Mortality in the United States

Background Although numerous studies suggest that there is an inverse relation between hospital volume of surgical procedures and surgical mortality, the relative importance of hospital volume in various surgical procedures is disputed. Methods Using information from the national Medicare claims data base and the Nationwide Inpatient Sample, we examined the mortality associated with six different types of cardiovascular procedures and eight types of major cancer resections between 1994 and 1999 (total number of procedures, 2.5 million). Regression techniques were used to describe relations between hospital volume (total number of procedures performed per year) and mortality (in-hospital or within 30 days), with adjustment for characteristics of the patients. Results Mortality decreased as volume increased for all 14 types of procedures, but the relative importance of volume varied markedly according to the type of procedure. Absolute differences in adjusted mortality rates between very-low-volume hospital...

[1]  Hsia Dc,et al.  Accuracy of Diagnostic Coding for Medicare Patients under the Prospective-Payment System , 1988 .

[2]  F A Sloan,et al.  Effects of admission to a teaching hospital on the cost and quality of care for Medicare beneficiaries. , 1999, The New England journal of medicine.

[3]  A. Flood,et al.  Does Practice Make Perfect?: Part I: The Relation Between Hospital Volume and Outcomes for Selected Diagnostic Categories , 1984, Medical care.

[4]  D. K. Williams,et al.  Assessing hospital-associated deaths from discharge data. The role of length of stay and comorbidities. , 1988, JAMA.

[5]  A Milstein,et al.  Selective referral to high-volume hospitals: estimating potentially avoidable deaths. , 2000, JAMA.

[6]  P. Pronovost,et al.  Organizational Characteristics of Intensive Care Units Related to Outcomes of Abdominal Aortic Surgery , 2000 .

[7]  W. Concepción,et al.  Volume of procedures at transplantation centers and mortality after liver transplantation. , 2000, The New England journal of medicine.

[8]  A. Comarow Higher volume, fewer deaths. For a risky operation, head for a hospital that does it regularly. , 2000, U.S. news & world report.

[9]  E. Fisher,et al.  Comorbidities, complications, and coding bias. Does the number of diagnosis codes matter in predicting in-hospital mortality? , 1992, JAMA.

[10]  C. Begg,et al.  impact of Hospital Volume on Operative Mortality for Major Cancer Surgery , 1999 .

[11]  J. Birkmeyer,et al.  Operative mortality with elective surgery in older adults. , 2001, Effective clinical practice : ECP.

[12]  S. Khuri,et al.  Invited commentary: Surgeons, not General Motors, should set standards for surgical care. , 2001, Surgery.

[13]  P. McCullagh,et al.  Generalized Linear Models, 2nd Edn. , 1990 .

[14]  E L Hannan,et al.  New York State's Cardiac Surgery Reporting System: four years later. , 1994, The Annals of thoracic surgery.

[15]  T. Cohen,et al.  Volume of procedures at transplantation centers and mortality after liver transplantation. , 2000, The New England journal of medicine.

[16]  Edward L. Hannan,et al.  Investigation of the Relationship Between Volume and Mortality for Surgical Procedures Performed in New York State Hospitals , 1989 .

[17]  F J Hellinger,et al.  Physician and Hospital Factors Associated With Mortality of Surgical Patients , 1986, Medical care.

[18]  T. Russell Invited commentary: Volume standards for high-risk operations: an American College of Surgeons' view. , 2001, Surgery.

[19]  J. Birkmeyer,et al.  Volume standards for high-risk surgical procedures: potential benefits of the Leapfrog initiative. , 2001, Surgery.

[20]  W. Cioffi,et al.  Analysis of the effect of conversion from open to closed surgical intensive care unit. , 1999, Annals of surgery.

[21]  J. Stanley,et al.  Operative mortality rates for intact and ruptured abdominal aortic aneurysms in Michigan: an eleven-year statewide experience , 1994 .

[22]  A M Epstein,et al.  Use of public performance reports: a survey of patients undergoing cardiac surgery. , 1998, JAMA.

[23]  K Y Liang,et al.  Longitudinal data analysis for discrete and continuous outcomes. , 1986, Biometrics.

[24]  J. Jollis,et al.  Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives. , 1993, Journal of clinical epidemiology.

[25]  E. Fisher,et al.  The accuracy of Medicare's hospital claims data: progress has been made, but problems remain. , 1992, American journal of public health.

[26]  W. Ghali,et al.  Statewide quality improvement initiatives and mortality after cardiac surgery. , 1997, JAMA.

[27]  C. Mackenzie,et al.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. , 1987, Journal of chronic diseases.

[28]  J. Birkmeyer,et al.  Potential benefits of regionalizing major surgery in Medicare patients. , 1999, Effective clinical practice : ECP.