Relationship Between Hospital Volume and Outcomes of Esophageal Variceal Bleeding in the United States

Clinical Gastroenterology and Hepatology

Volumn 6, Issue 7, 2008, Pages 789-798

  Myers, Robert P ^a   Papay, Karen D ^a   Shaheen, Abdel Aziz M ^a   Kaplan, Gilaad G ^a  

^a Liver Unit   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALCOHOL LIVER CIRRHOSIS; ARTICLE; CLINICAL ASSESSMENT; CONFIDENCE INTERVAL; CORRELATION ANALYSIS; DECOMPENSATED LIVER CIRRHOSIS; DEMOGRAPHY; ESOPHAGUS VARICES BLEEDING; GENDER; HEALTH CARE PERSONNEL; HEALTH INSURANCE; HOSPITAL ADMISSION; HOSPITAL CHARGE; HOSPITAL PATIENT; HOSPITALIZATION; HUMAN; LENGTH OF STAY; LOGISTIC REGRESSION ANALYSIS; MORTALITY; OUTCOME ASSESSMENT; PATIENT REFERRAL; PATIENT TRANSPORT; PROGNOSIS; RACE; RISK FACTOR; UNITED STATES;

ADULT; BED OCCUPANCY; ESOPHAGEAL AND GASTRIC VARICES; FEMALE; HEMORRHAGE; HOSPITAL CHARGES; HOSPITAL MORTALITY; HOSPITALS; HUMANS; LENGTH OF STAY; LOGISTIC MODELS; MALE; MIDDLE AGED; OUTCOME ASSESSMENT (HEALTH CARE); STATISTICS AS TOPIC; UNITED STATES;

EID: 45849130216     PISSN: 15423565     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cgh.2008.03.007     Document Type: Article

References (43)

1. Luft H.S., Bunker J.P., and Enthoven A.C. Should operations be regionalized?. The empirical relation between surgical volume and mortality. N Engl J Med 301 (1979) 1364-1369
2. Luft H.S. The relation between surgical volume and mortality: an exploration of causal factors and alternative models. Med Care 18 (1980) 940-959
3. Birkmeyer J.D., Stukel T.A., Siewers A.E., et al. Surgeon volume and operative mortality in the United States. N Engl J Med 349 (2003) 2117-2127
4. Halm E.A., Lee C., and Chassin M.R. Is volume related to outcome in health care?. A systematic review and methodologic critique of the literature. Ann Intern Med 137 (2002) 511-520
5. Dudley R.A., Johansen K.L., Brand R., et al. Selective referral to high-volume hospitals: estimating potentially avoidable deaths. JAMA 283 (2000) 1159-1166
6. Axelrod D.A., Guidinger M.K., McCullough K.P., et al. Association of center volume with outcome after liver and kidney transplantation. Am J Transplant 4 (2004) 920-927
7. Edwards E.B., Roberts J.P., McBride M.A., et al. The effect of the volume of procedures at transplantation centers on mortality after liver transplantation. N Engl J Med 341 (1999) 2049-2053
8. Glasgow R.E., Showstack J.A., Katz P.P., et al. The relationship between hospital volume and outcomes of hepatic resection for hepatocellular carcinoma. Arch Surg 134 (1999) 30-35
9. Dixon E., Schneeweiss S., Pasieka J.L., et al. Mortality following liver resection in US medicare patients: does the presence of a liver transplant program affect outcome?. J Surg Oncol 95 (2007) 194-200
10. Hollenbeck B.K., Dunn R.L., Miller D.C., et al. Volume-based referral for cancer surgery: informing the debate. J Clin Oncol 25 (2007) 91-96
11. Luft H.S., Hunt S.S., and Maerki S.C. The volume-outcome relationship: practice-makes-perfect or selective-referral patterns?. Health Serv Res 22 (1987) 157-182
12. Garcia-Tsao G., Sanyal A.J., Grace N.D., et al. Prevention and management of gastroesophageal varices and variceal hemorrhage in cirrhosis. Hepatology 46 (2007) 922-938
13. de Franchis R. Evolving consensus in portal hypertension: report of the Baveno IV consensus workshop on methodology of diagnosis and therapy in portal hypertension. J Hepatol 43 (2005) 167-176
14. Dy S.M., Cromwell D.M., Thuluvath P.J., et al. Hospital experience and outcomes for esophageal variceal bleeding. Int J Qual Health Care 15 (2003) 139-146
15. HCUP databases. Healthcare Cost and Utilization Project (HCUP), 1998-2005. Agency for Healthcare Research and Quality, Rockville, MD. www.hcup-us.ahrq.gov/databases.jsp Accessed 7 September, 2007
16. Whalen D., Houchens R., and Elixhauser A. 2004 HCUP Nationwide Inpatient Sample (NIS) Comparison Report. HCUP Method Series Report # 2007-03. Online December 2, 2006. U.S. Agency for Healthcare Research and Quality. http://www.hcup-us.ahrq.gov/reports/methods.jsp
17. International Classificiation of Diseases, 9th Revision, Clinical Modification (ICD-9-CM). Practice Management Information Corporation (2001)
18. U.S. Department of Labor: Bureau of Labor Statistics. Consumer price index: all urban consumers (U.S. medical care 1982-1984=100). http://www.bls.gov/cpi/home.htm
19. Elixhauser A., Steiner C., Harris D.R., et al. Comorbidity measures for use with administrative data. Med Care 36 (1998) 8-27
20. D'Amico G., and De Franchis R. Upper digestive bleeding in cirrhosis. Post-therapeutic outcome and prognostic indicators. Hepatology 38 (2003) 599-612
21. Chalasani N., Kahi C., Francois F., et al. Improved patient survival after acute variceal bleeding: a multicenter, cohort study. Am J Gastroenterol 98 (2003) 653-659
22. Carbonell N., Pauwels A., Serfaty L., et al. Improved survival after variceal bleeding in patients with cirrhosis over the past two decades. Hepatology 40 (2004) 652-659
23. El-Serag H.B., and Everhart J.E. Improved survival after variceal hemorrhage over an 11-year period in the Department of Veterans Affairs. Am J Gastroenterol 95 (2000) 3566-3573
24. Thomopoulos K., Theocharis G., Mimidis K., et al. Improved survival of patients presenting with acute variceal bleeding: prognostic indicators of short- and long-term mortality. Dig Liver Dis 38 (2006) 899-904
25. Chalasani N., Kahi C., Francois F., et al. Model for end-stage liver disease (MELD) for predicting mortality in patients with acute variceal bleeding. Hepatology 35 (2002) 1282-1284
26. Liang K.Y., and Zeger S.L. Longitudinal data analysis using generalized linear models. Biometrika 73 (1986) 13-22
27. Shwartz M., and Ash A.S. Evaluating risk-adjustment models empirically. In: Iezzoni L.I. (Ed). Risk adjustment for measuring health outcomes. 3rd ed. (2003), Health Administration Press, Chicago 231-273
28. Houchens R., and Elixhauser A. Final report on calculating Nationwide Inpatient Sample (NIS) variances, 2001. HCUP Methods Series Report #2003-2. Online June 2005 (revised June 6, 2005). U.S. Agency for Healthcare Research and Quality. http://www.hcup-us.ahrq.gov/reports/2003_2.jsp
29. Panageas K.S., Schrag D., Riedel E., et al. The effect of clustering of outcomes on the association of procedure volume and surgical outcomes. Ann Intern Med 139 (2003) 658-665
30. Hannan E.L., Kilburn Jr. H., O'Donnell J.F., et al. A longitudinal analysis of the relationship between in-hospital mortality in New York State and the volume of abdominal aortic aneurysm surgeries performed. Health Serv Res 27 (1992) 517-542
31. Stokkeland K., Brandt L., Ekbom A., et al. Improved prognosis for patients hospitalized with esophageal varices in Sweden 1969-2002. Hepatology 43 (2006) 500-505
32. McCormick P.A., and O'Keefe C. Improving prognosis following a first variceal haemorrhage over four decades. Gut 49 (2001) 682-685
33. Nguyen G.C., Segev D.L., and Thuluvath P.J. Racial disparities in the management of hospitalized patients with cirrhosis and complications of portal hypertension: a national study. Hepatology 45 (2007) 1282-1289
34. Nachlas M.M., O'Neil J.E., and Campbell A.J. The life history of patients with cirrhosis of the liver and bleeding esophageal varices. Ann Surg 141 (1955) 10-23
35. Garceau A.J., and Chalmers T.C. The natural history of cirrhosis: I-survival with esophageal varices. N Engl J Med 268 (1963) 469-473
36. Graham D.Y., and Smith J.L. The course of patients after variceal hemorrhage. Gastroenterology 80 (1981) 800-809
37. Anderson G.F., Hussey P.S., Frogner B.K., et al. Health spending in the United States and the rest of the industrialized world. Health Aff (Millwood) 24 (2005) 903-914
38. Jones K.R. Predicting hospital charge and stay variation: the role of patient teaching status, controlling for diagnosis-related group, demographic characteristics, and severity of illness. Med Care 23 (1985) 220-235
39. Garber A.M., Fuchs V.R., and Silverman J.F. Case mix, costs, and outcomes. Differences between faculty and community services in a university hospital. N Engl J Med 310 (1984) 1231-1237
40. Iezzoni L.I. Coded data from administrative sources. In: Iezzoni L.I. (Ed). Risk adjustment for measuring health care outcomes. 3rd ed. (2003), Health Administration Press, Chicago 83-138
41. Quan H., Parsons G.A., and Ghali W.A. Validity of procedure codes in International Classification of Diseases, 9th revision, clinical modification administrative data. Med Care 42 (2004) 801-809
42. Garnick D.W., DeLong E.R., and Luft H.S. Measuring hospital mortality rates: are 30-day data enough?. Ischemic Heart Disease Patient Outcomes Research Team. Health Serv Res 29 (1995) 679-695
43. Rosenthal G.E., Baker D.W., Norris D.G., et al. Relationships between in-hospital and 30-day standardized hospital mortality: implications for profiling hospitals. Health Serv Res 34 (2000) 1449-1468