Background:
Congestive heart failure (CHF) is common and costly, and outcomes remain suboptimal despite pharmacologic and technical advances.
Objective:
To examine whether hospitals with more experience in caring for patients with CHF provide better, more efficient care.
Design:
Retrospective cohort study.
Setting:
4095 hospitals in the United States.
Patients:
Medicare fee-for-service patients with a primary discharge diagnosis of CHF.
Measurements:
Hospital Quality Alliance CHF process measures; 30-day, risk-adjusted mortality rates; 30-day, risk-adjusted readmission rates; and costs per discharge. National Medicare claims data from 2006 to 2007 were used to examine the relationship between hospital case volume and quality, outcomes, and costs for patients with CHF.
Results:
Hospitals in the low-volume group had lower performance on the process measures (80.2%) than did medium-volume (87.0%) or high-volume (89.1%) hospitals (P < 0.001). In the low-volume group, being admitted to a hospital with a higher case volume was associated with lower mortality, lower readmission, and higher costs. Similar, though smaller, relationships were found between case volume and both mortality and costs in the medium- and high-volume hospital groups.
Limitations:
Analysis was limited to Medicare patients 65 years or older. Risk adjustment was performed by using administrative data.
Conclusion:
Experience with managing CHF, as measured by an institution's volume, is associated with higher quality of care and better outcomes for patients but a higher cost. Understanding which practices employed by high-volume institutions account for these advantages can help improve quality of care and clinical outcomes for all patients with CHF.
Primary Funding Source:
American Heart Association.
References
- 1.
Rosamond W ,Flegal K ,Furie K ,Go A ,Greenlund K ,Haase N ,et al ;American Heart Association Statistics Committee and Stroke Statistics Subcommittee . Heart disease and stroke statistics—2008 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation. 2008;117:25-146. [PMID:18086926 ] MedlineGoogle Scholar - 2.
Medicare Payment Advisory Commission . A Data Book: Healthcare Spending and the Medicare Program. Washington, DC: Medicare Payment Advisory Commission; 2009. Google Scholar - 3.
Krumholz HM ,Merrill AR ,Schone EM ,Schreiner GC ,Chen J ,Bradley EH ,et al . Patterns of hospital performance in acute myocardial infarction and heart failure 30-day mortality and readmission. Circ Cardiovasc Qual Outcomes. 2009;2:407-13. [PMID:20031870 ] CrossrefMedlineGoogle Scholar - 4.
Birkmeyer JD ,Finlayson EV ,Birkmeyer CM . Volume standards for high-risk surgical procedures: potential benefits of the Leapfrog initiative. Surgery. 2001;130:415-22. [PMID:11562662 ] CrossrefMedlineGoogle Scholar - 5.
Birkmeyer JD ,Siewers AE ,Finlayson EV ,Stukel TA ,Lucas FL ,Batista I ,et al . Hospital volume and surgical mortality in the United States. N Engl J Med. 2002;346:1128-37. [PMID:11948273 ] CrossrefMedlineGoogle Scholar - 6.
Hannan EL ,Wu C ,Ryan TJ ,Bennett E ,Culliford AT ,Gold JP ,et al . Do hospitals and surgeons with higher coronary artery bypass graft surgery volumes still have lower risk-adjusted mortality rates? Circulation. 2003;108:795-801. [PMID:12885743 ] CrossrefMedlineGoogle Scholar - 7.
Wu C ,Hannan EL ,Ryan TJ ,Bennett E ,Culliford AT ,Gold JP ,et al . Is the impact of hospital and surgeon volumes on the in-hospital mortality rate for coronary artery bypass graft surgery limited to patients at high risk? Circulation. 2004;110:784-9. [PMID:15302792 ] CrossrefMedlineGoogle Scholar - 8.
Jollis JG ,Peterson ED ,Nelson CL ,Stafford JA ,DeLong ER ,Muhlbaier LH ,et al . Relationship between physician and hospital coronary angioplasty volume and outcome in elderly patients. Circulation. 1997;95:2485-91. [PMID:9184578 ] CrossrefMedlineGoogle Scholar - 9.
McGrath PD ,Wennberg DE ,Dickens JD Jr ,Siewers AE ,Lucas FL ,Malenka DJ ,et al . Relation between operator and hospital volume and outcomes following percutaneous coronary interventions in the era of the coronary stent. JAMA. 2000;284:3139-44. [PMID:11135777 ] CrossrefMedlineGoogle Scholar - 10.
Hannan EL ,Wu C ,Walford G ,King SB 3rd ,Holmes DR Jr ,Ambrose JA ,et al . Volume-outcome relationships for percutaneous coronary interventions in the stent era. Circulation. 2005;112:1171-9. [PMID:16103238 ] CrossrefMedlineGoogle Scholar - 11.
Thiemann DR ,Coresh J ,Oetgen WJ ,Powe NR . The association between hospital volume and survival after acute myocardial infarction in elderly patients. N Engl J Med. 1999;340:1640-8. [PMID:10341277 ] CrossrefMedlineGoogle Scholar - 12.
Lindenauer PK ,Pekow P ,Gao S ,Crawford AS ,Gutierrez B ,Benjamin EM . Quality of care for patients hospitalized for acute exacerbations of chronic obstructive pulmonary disease. Ann Intern Med. 2006;144:894-903. [PMID:16785478 ] LinkGoogle Scholar - 13.
Lindenauer PK ,Behal R ,Murray CK ,Nsa W ,Houck PM ,Bratzler DW . Volume, quality of care, and outcome in pneumonia. Ann Intern Med. 2006;144:262-9. [PMID:16490912 ] LinkGoogle Scholar - 14.
Ross JS ,Normand SL ,Wang Y ,Ko DT ,Chen J ,Drye EE ,et al . Hospital volume and 30-day mortality for three common medical conditions. N Engl J Med. 2010;362:1110-8. [PMID:20335587 ] CrossrefMedlineGoogle Scholar - 15.
Desai MM ,Lin Z ,Schreiner GC ,Wang Y ,Grady JN ,Duffy CO ,et al . 2009 Measures Maintenance Technical Report: Acute Myocardial Infarction, Heart Failure, and Pneumonia 30-Day Risk Standardized Readmission Measures. New Haven, CT: Yale–New Haven Health Services Corporation/Center for Outcomes Research and Evaluation; 2009. Google Scholar - 16.
U.S. Department of Health and Human Services . Hospital Compare. Washington, DC: U.S. Department of Health and Human Services; 2010. Google Scholar - 17.
Elixhauser A ,Steiner C ,Harris DR ,Coffey RM . Comorbidity measures for use with administrative data. Med Care. 1998;36:8-27. [PMID:9431328 ] CrossrefMedlineGoogle Scholar - 18.
Southern DA ,Quan H ,Ghali WA . Comparison of the Elixhauser and Charlson/Deyo methods of comorbidity measurement in administrative data. Med Care. 2004;42:355-60. [PMID:15076812 ] CrossrefMedlineGoogle Scholar - 19.
Li B ,Evans D ,Faris P ,Dean S ,Quan H . Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases. BMC Health Serv Res. 2008;8:12. [PMID:18194561 ] CrossrefMedlineGoogle Scholar - 20.
Jha AK ,Orav EJ ,Dobson A ,Book RA ,Epstein AM . Measuring efficiency: the association of hospital costs and quality of care. Health Aff (Millwood). 2009;28:897-906. [PMID:19414903 ] CrossrefMedlineGoogle Scholar - 21.
Mechanic R ,Coleman K ,Dobson A . Teaching hospital costs: implications for academic missions in a competitive market. JAMA. 1998;280:1015-9. [PMID:9749488 ] CrossrefMedlineGoogle Scholar - 22.
Luft HS ,Bunker JP ,Enthoven AC . Should operations be regionalized? The empirical relation between surgical volume and mortality. N Engl J Med. 1979;301:1364-9. [PMID:503167 ] CrossrefMedlineGoogle Scholar - 23.
Fonarow GC ,Abraham WT ,Albert NM ,Stough WG ,Gheorghiade M ,Greenberg BH ,et al ;OPTIMIZE-HF Investigators and Hospitals . Association between performance measures and clinical outcomes for patients hospitalized with heart failure. JAMA. 2007;297:61-70. [PMID:17200476 ] CrossrefMedlineGoogle Scholar - 24.
Luft HS ,Hunt SS ,Maerki SC . The volume-outcome relationship: practice-makes-perfect or selective-referral patterns? Health Serv Res. 1987;22:157-82. [PMID:3112042 ] MedlineGoogle Scholar - 25.
Schneider EC ,Epstein AM . Use of public performance reports: a survey of patients undergoing cardiac surgery. JAMA. 1998;279:1638-42. [PMID:9613914 ] CrossrefMedlineGoogle Scholar - 26.
Mukamel DB ,Mushlin AI . Quality of care information makes a difference: an analysis of market share and price changes after publication of the New York State Cardiac Surgery Mortality Reports. Med Care. 1998;36:945-54. [PMID:9674613 ] CrossrefMedlineGoogle Scholar - 27.
Jha AK ,Epstein AM . The predictive accuracy of the New York State coronary artery bypass surgery report-card system. Health Aff (Millwood). 2006;25:844-55. [PMID:16684751 ] CrossrefMedlineGoogle Scholar - 28.
Fisher ES ,Wennberg DE ,Stukel TA ,Gottlieb DJ ,Lucas FL ,Pinder EL . The implications of regional variations in Medicare spending. Part 2: health outcomes and satisfaction with care. Ann Intern Med. 2003;138:288-98. [PMID:12585826 ] LinkGoogle Scholar - 29.
Fisher ES ,Wennberg DE ,Stukel TA ,Gottlieb DJ ,Lucas FL ,Pinder EL . The implications of regional variations in Medicare spending. Part 1: the content, quality, and accessibility of care. Ann Intern Med. 2003;138:273-87. [PMID:12585825 ] LinkGoogle Scholar - 30. Baicker K, Chandra A. Medicare spending, the physician workforce, and beneficiaries' quality of care. Health Aff (Millwood). 2004;Suppl Web Exclusives:W184-97. [PMID: 15726699] Google Scholar
- 31.
Yasaitis L ,Fisher ES ,Skinner JS ,Chandra A . Hospital quality and intensity of spending: is there an association? Health Aff (Millwood). 2009;28:w566-72. [PMID:19460774 ] CrossrefMedlineGoogle Scholar - 32.
Bennett CL ,Garfinkle JB ,Greenfield S ,Draper D ,Rogers W ,Mathews C ,et al . The relation between hospital experience and in-hospital mortality for patients with AIDS-related PCP. JAMA. 1989;261:2975-9. [PMID:2785607 ] CrossrefMedlineGoogle Scholar - 33.
Stone VE ,Seage GR 3rd ,Hertz T ,Epstein AM . The relation between hospital experience and mortality for patients with AIDS. JAMA. 1992;268:2655-61. [PMID:1433685 ] CrossrefMedlineGoogle Scholar - 34.
Cunningham WE ,Tisnado DM ,Lui HH ,Nakazono TT ,Carlisle DM . The effect of hospital experience on mortality among patients hospitalized with acquired immunodeficiency syndrome in California. Am J Med. 1999;107:137-43. [PMID:10460044 ] CrossrefMedlineGoogle Scholar - 35.
Ward MM . Hospital experience and mortality in patients with systemic lupus erythematosus: which patients benefit most from treatment at highly experienced hospitals? J Rheumatol. 2002;29:1198-206. [PMID:12064835 ] MedlineGoogle Scholar - 36.
Ho V ,Aloia T . Hospital volume, surgeon volume, and patient costs for cancer surgery. Med Care. 2008;46:718-25. [PMID:18580391 ] CrossrefMedlineGoogle Scholar - 37.
Swisher SG ,Deford L ,Merriman KW ,Walsh GL ,Smythe R ,Vaporicyan A ,et al . Effect of operative volume on morbidity, mortality, and hospital use after esophagectomy for cancer. J Thorac Cardiovasc Surg. 2000;119:1126-32. [PMID:10838528 ] CrossrefMedlineGoogle Scholar - 38.
Fang J ,Mensah GA ,Croft JB ,Keenan NL . Heart failure-related hospitalization in the U.S., 1979 to 2004. J Am Coll Cardiol. 2008;52:428-34. [PMID:18672162 ] CrossrefMedlineGoogle Scholar - 39.
Ross JS ,Mulvey GK ,Stauffer B ,Patlolla V ,Bernheim SM ,Keenan PS ,et al . Statistical models and patient predictors of readmission for heart failure: a systematic review. Arch Intern Med. 2008;168:1371-86. [PMID:18625917 ] CrossrefMedlineGoogle Scholar
Author, Article and Disclosure Information
From Harvard School of Public Health, Brigham and Women's Hospital, and Veterans Affairs Boston Health Care System, Boston, Massachusetts.
Acknowledgment: The authors thank Jie Zheng, PhD, from the Department of Health Policy and Management, Harvard School of Public Health, for assistance with statistical programming. Dr. Zheng received compensation as part of regular employment. The authors also thank Peter Lindenauer, MD, MSc, for reviewing an earlier draft of the manuscript.
Grant Support: By an American Heart Association Clinical Research Program grant (10CRP3780037). Dr. Joynt was supported by a National Institutes of Health Training Grant (T32HL007604-24) held by Brigham and Women's Hospital Division of Cardiovascular Medicine.
Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M10-1177.
Reproducible Research Statement:Study protocol and statistical code: Available from Dr. Joynt (e-mail, [email protected]
Corresponding Author: Karen E. Joynt, MD, MPH, Brigham and Women's Hospital, 75 Francis Street, Boston MA 02115; e-mail, [email protected]
Current Author Addresses: Dr. Joynt: Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115.
Dr. Orav: Brigham and Women's Hospital, Division of General Internal Medicine, 1620 Tremont Street, 3rd Floor, Boston, MA 02115.
Dr. Jha: Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115.
Author Contributions: Conception and design: K.E. Joynt, A.K. Jha.
Analysis and interpretation of the data: K.E. Joynt, E.J. Orav, A.K. Jha.
Drafting of the article: K.E. Joynt, A.K. Jha.
Critical revision of the article for important intellectual content: K.E. Joynt, E.J. Orav, A.K. Jha.
Final approval of the article: K.E. Joynt, A.K. Jha.
Provision of study materials or patients: A.K. Jha.
Statistical expertise: E.J. Orav.
Obtaining of funding: K.E. Joynt, A.K. Jha.
Collection and assembly of data: K.E. Joynt, A.K. Jha.

Submit a Comment
Contributors must reveal any conflict of interest. Comments are moderated. Please see our information for authorsregarding comments on an Annals publication.
*All comments submitted after October 1, 2021 and selected for publication will be published online only.