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. 2010 Mar;47(Suppl 1):S173–S190. doi: 10.1353/dem.2010.0004

The potential impact of comparative effectiveness research on U.S. Health Care expenditures

Daniella J Perlroth 1,, Dana P Goldman 2,3, Alan M Garber 1,4
PMCID: PMC5870611  PMID: 21302424

Abstract

Comparative effectiveness research (CER) has the potential to slow health care spending growth by focusing resources on health interventions that provide the most value. In this article, we discuss issues surrounding CER and its implementation and apply these methods to a salient clinical example: treatment of prostate cancer. Physicians have several options for treating patients recently diagnosed with localized disease, including removal of the prostate (radical prostatectomy), treatment with radioactive seeds (brachytherapy), radiation therapy (IMRT), or—if none of these are pursued—active surveillance. Using a commercial health insurance claims database and after adjustment for comorbid conditions, we estimate that the additional cost of treatment with radical prostatectomy is $7,300, while other alternatives are more expensive—$19,000 for brachytherapy and $46,900 for IMRT. However, a review of the clinical literature uncovers no evidence that justifies the use of these more expensive approaches. These results imply that if patient management strategies were shifted to those supported by CER-based criteria, an estimated $1.7 to $3.0 billion (2009 present value) could be saved each year.

Keywords: Prostate Cancer, Radical Prostatectomy, External Beam Radiation Therapy, Health Expenditure, Active Surveillance

Footnotes

This research was supported by UnitedHealthcare and the National Institute on Aging through its support of the Roybal Center for Health Policy Simulation (P30AG024968) and the Center on Demography and Economics of Health and Aging (P30AG 17253).

References

  1. Agency for Healthcare Research and Quality . EPC Evidence Reports. Washington, DC: U.S. Department of Health and Human Services; 2009. [Google Scholar]
  2. American Cancer Society . Cancer Facts & Figures 2009. Atlanta, GA: American Cancer Society; 2009. [Google Scholar]
  3. Bill-Axelson A., Holmberg L., Ruutu M., Haggman M., Andersson S.O., Bratell S., Spangberg A., Busch C., Nordling S., Garmo H., Palmgren J., Adami H.O., Norlen B.J., Johansson J.E. Radical Prostatectomy Versus Watchful Waiting in Early Prostate Cancer. New England Journal of Medicine. 2005;352:1977–84. doi: 10.1056/NEJMoa043739. [DOI] [PubMed] [Google Scholar]
  4. Charlson M.E., Pompei P., Ales K.L., MacKenzie C.R. A New Method of Classifying Prognostic Comorbidity in Longitudinal Studies: Development and Validation. Journal of Chronic Diseases. 1987;40:373–83. doi: 10.1016/0021-9681(87)90171-8. [DOI] [PubMed] [Google Scholar]
  5. Congressional Budget Office (CBO) The Long-Term Outlook for Health Care Spending. Washington, DC: CBO; 2007. [Google Scholar]
  6. Congressional Budget Office (CBO) Research on the Comparative Effectiveness of Medical Treatments: Issues and Options for an Expanded Federal Role. Washington, DC: CBO; 2007. [Google Scholar]
  7. Cutler D.M., McClellan M. Is Technological Change in Medicine Worth It? Health Affairs. 2001;20(5):11–29. doi: 10.1377/hlthaff.20.5.11. [DOI] [PubMed] [Google Scholar]
  8. Cutler D.M., Rosen A.B., Vijan S. The Value of Medical Spending in the United States, 1960–2000. New England Journal of Medicine. 2006;355:920–27. doi: 10.1056/NEJMsa054744. [DOI] [PubMed] [Google Scholar]
  9. Executive Office of the President, Council of Economic Advisors. 2009. “The Economic Case for Health Care Reform.” June 2009. Available online at http://www.whitehouse.gov/assets/documents/CEA_Health_Care_Report.pdf.
  10. Garber A.M., Meltzer D.O. in Implementing Comparative Effectiveness Research: Priorities, Methods, and Impact. Washington, DC: Brookings Institution; 2009. Setting Priorities for Comparative Effectiveness Research; pp. 15–33. [Google Scholar]
  11. Geithner, T.F. 2009. “2009 Annual Report of the Boards of Trustees of the Federal Hospital Insurance Trust Fund and the Federal Supplementary Medical Insurance Trust Fund.” Available online at http://www1.cms.gov/ReportsTrustFunds/downloads/tr2009.pdf.
  12. Ghali W.A., Hall R.E., Rosen A.K., Ash A.S., Moskowitz M.A. Searching for an Improved Clinical Comorbidity Index for Use With ICD-9-CM Administrative Data. Journal of Clinical Epidemiology. 1996;49:273–78. doi: 10.1016/0895-4356(95)00564-1. [DOI] [PubMed] [Google Scholar]
  13. Goldman D.P., Joyce G.F., Escarce J.J., Pace J.E., Solomon M.D., Laouri M., Landsman P.B., Teutsch S.M. Pharmacy Benefits and the Use of Drugs by the Chronically Ill. Journal of the American Medical Association. 2004;291:2344–50. doi: 10.1001/jama.291.19.2344. [DOI] [PubMed] [Google Scholar]
  14. Goldman D.P., Joyce G.F., Karaca-Mandic P. Varying Pharmacy Benefits With Clinical Status: The Case of Cholesterol-Lowering Therapy. American Journal of Managed Care. 2006;12(1):21–28. [PubMed] [Google Scholar]
  15. Goldman D.P., Shang B., Bhattacharya J., Garber A.M., Hurd M., Joyce G.F., Lakdawalla D.N., Panis C., Shekelle P.G. Consequences of Health Trends and Medical Innovation for the Future Elderly. Health Affairs. 2005;24(Suppl. 2):W5R5–17. doi: 10.1377/hlthaff.w5.r5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Hoffman R.M., Hunt W.C., Gilliland F.D., Stephenson R.A., Potosky A.L. Patient Satisfaction With Treatment Decisions for Clinically Localized Prostate Carcinoma. Results From the Prostate Cancer Outcomes Study. Cancer. 2003;97:1653–62. doi: 10.1002/cncr.11233. [DOI] [PubMed] [Google Scholar]
  17. Institute of Medicine . Initial National Priorities for Comparative Effectiveness Research. Washington, DC: The National Academies Press; 2009. [Google Scholar]
  18. Iversen P., Madsen P.O., Corle D.K. Radical Prostatectomy Versus Expectant Treatment for Early Carcinoma of the Prostate. Twenty-three year follow-up of a prospective randomized study. Scandinavian Journal of Urology and Nephrology Supplement. 1995;128:502–504. [PubMed] [Google Scholar]
  19. Joyce G.F., Escarce J.J., Solomon M.D., Goldman D.P. Employer Drug Benefit Plans and Spending on Prescription Drugs. Journal of the American Medical Association. 2002;288:1733–39. doi: 10.1001/jama.288.14.1733. [DOI] [PubMed] [Google Scholar]
  20. Joyce G.F., Goldman D.P., Karaca-Mandic P., Lawless G.D. Impact of Specialty Drugs on the Use of Other Medical Services. American Journal of Managed Care. 2008;14:821–28. [PMC free article] [PubMed] [Google Scholar]
  21. Joyce G.F., Goldman D.P., Karaca-Mandic P., Zheng Y. Pharmacy Benefit Caps and the Chronically Ill. Health Affairs. 2007;26:1333–44. doi: 10.1377/hlthaff.26.5.1333. [DOI] [PubMed] [Google Scholar]
  22. McClellan M., McNeil B.J., Newhouse J.P. Does More Intensive Treatment of Acute Myocardial Infarction in the Elderly Reduce Mortality? Analysis Using Instrumental Variables. Journal of the American Medical Association. 1994;272:859–66. doi: 10.1001/jama.272.11.859. [DOI] [PubMed] [Google Scholar]
  23. Murphy K.M., Topel R.H. The Value of Health and Longevity. Journal of Political Economy. 2006;114:871–904. doi: 10.1086/508033. [DOI] [Google Scholar]
  24. National Aeronautics and Space Administration (NASA). n.d. “Gross Domestic Product: Deflator Inflation Calculator.” Washington, DC: NASA.
  25. National Cancer Institute . Surveillance and Epidemiology End Results Stat Fact Sheets. Bethesda, MD: U.S. National Institutes of Health; 2008. [Google Scholar]
  26. National Cancer Institute . Surveillance, Epidemiology, and End Results (SEER) Program SEER*Stat Database: Incidence—SEER 17 Regs Limited-Use + Hurricane Katrina Impacted Louisiana Cases, Nov 2007 Sub (1973–2005 varying)—Linked To County Attributes—Total U.S., 1969–2005. Bethesda, MD: Division of Cancer Control and Population Sciences, Surveillance Research Program, Cancer Statistics Branch; 2008. [Google Scholar]
  27. Newhouse J.P. Medical Care Costs: How Much Welfare Loss? Journal of Economic Perspectives. 1992;6(3):3–21. doi: 10.1257/jep.6.3.3. [DOI] [PubMed] [Google Scholar]
  28. Paulson D.F., Lin G.H., Hinshaw W., Stephani S. Radical Surgery Versus Radiotherapy for Adenocarcinoma of the Prostate. Journal of Urology. 1982;128:502–504. doi: 10.1016/s0022-5347(17)53016-5. [DOI] [PubMed] [Google Scholar]
  29. Rosenbaum P.R., Rubin D.B. Reducing Bias in Observational Studies Using Subclassification on the Propensity Score. Journal of the American Statistical Association. 1984;79:516–24. doi: 10.2307/2288398. [DOI] [Google Scholar]
  30. Schoen C., Guterman S., Shih A., Lau J., Kasimow S., Gauthier A., Davis K. Report. New York: The Commonwealth Fund; 2007. Bending the Curve: Options for Achieving Savings and Improving Value in U.S. Health Spending. [Google Scholar]
  31. Shappley W.V., Kenfield S.A., Kasperzyk J.L., Qiu W., Stampfer M.J., Sanda M.G., Chan J.M. Prospective Study of Determinants and Outcomes of Deferred Treatment or Watchful Waiting Among Men With Prostate Cancer in a Nationwide Cohort. Journal of Clinical Oncology. 2009;27:4980–85. doi: 10.1200/JCO.2008.21.2613. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Warren J.L., Yabroff K.R., Meekins A., Topor M., Lamont E.B., Brown M.L. Evaluation of Trends in the Cost of Initial Cancer Treatment. Journal of the National Cancer Institute. 2008;100:888–97. doi: 10.1093/jnci/djn175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Wilt T.J., MacDonald R., Rutks I., Shamliyan T.A., Taylor B.C., Kane R.L. Systematic Review: Comparative Effectiveness and Harms of Treatments for Clinically Localized Prostate Cancer. Annals of Internal Medicine. 2008;148:435–48. doi: 10.7326/0003-4819-148-6-200803180-00209. [DOI] [PubMed] [Google Scholar]

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