Abstract
Public payers could be the most important players in a world of comparative effectiveness, because of the large populations covered and the amount of money spent. Moreover, they frequently set the payment rules for other private payers to follow. However, they are also constrained by program-specific legislative authority and regulations. This chapter explains the framework, openness, and use of findings from their own or other research that public payers use to shape determinations about coverage and payment at the state and federal level. Medicare and Veterans Administration are compared to each other as well as three of the largest Medicaid states – California, New York, and Texas. Medicare uses comparative effectiveness findings largely in a bottom-up approach with local coverage decisions informing national coverage decisions sometimes vetted by a very open centralized advisory panel that relies upon research done by the Agency for Healthcare Research and Quality. Veterans Administration is largely internally driven and closed decision-making by the clinicians and staff, but with the help of a program of their own that synthesizes evidence-based research. The Medicaid programs focus on pharmaceuticals and use comparative effectiveness to develop their automated drug utilization review rules and their preferred drug formulary rules. Medicaid is less likely than Medicare or Veterans Administration to use comparative effectiveness decision-making for devices, procedures, or services. Risk-sharing and outcome-based contracting models are increasingly relying on comparative effectiveness findings to drive performance measures that in turn drive payments.
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Notes
- 1.
National coverage determinations are driven more by a technology assessment, than by comparative effectiveness concerns, although it is an evidence-based process.
- 2.
Drug utilization review is limited to such concerns as appropriate doses, duplication of prescriptions, drug interaction, drug contraindications, and other clinical issues that are more often driven by the Food and Drug Administration’s approved labeling than by comparative effectiveness concerns, although it is an evidence-based process.
References
Barnett, Jessica C. and Marina S. Vornovitsky (2016) Current Population Reports, P60–257(RV), Health Insurance Coverage in the United States: 2015, US Department of Commerce Economics and Statistics Administration, Bureau of the Census. https://www.census.gov/content/dam/Census/library/publications/2016/demo/p60-257.pdf
Gold M, et al (2014) Medicare advantage 2014 spotlight enrollment market update – firms and market structure – 8588 The Henry J. Kaiser Family Foundation.pdf. Kaiser Family Foundation. http://kff.org/report-section/medicare-advantage-2014-spotlight-enrollment-market-update-firms-and-market-structure/
Smith VK, Gifford K, Ellis E, Rudowitz R, Snyder L, Hinton E (2015) Medicaid reforms to expand coverage, control costs and improve care results from a 50-state medicaid budget survey for state fiscal years 2015 and 2016. Kaiser Family Foundation. http://files.kff.org/attachment/report-medicaid-reforms-to-expand-coverage-control-costs-and-improve-care-results-from-a-50-state-medicaid-budget-survey-for-state-fiscal-years-2015-and-2016
Atkins D, Kupersmith J, Eisen S (2010) The veterans affairs experience: comparative effectiveness research in a large health system. Health Aff (Millwood) 29(10):1906–1912. doi:10.1377/hlthaff.2010.0680
Levy AR, Mitton C, Johnston KM, Harrigan B, Briggs AH (2010) International comparison of comparative effectiveness research in five jurisdictions: insights for the US. Pharmacoeconomics 28(10):813–830. doi:10.2165/11536150-000000000-00000
Chambers JD, Chenoweth M, Cangelosi MJ, Pyo J, Cohen JT, Neumann PJ (2015) Medicare is scrutinizing evidence more tightly for national coverage determinations. Health Aff (Millwood) 34(2):253–260. doi:10.1377/hlthaff.2014.1123
Neumann PJ, Weinstein MC (2010) Legislating against use of cost-effectiveness information. N Engl J Med 363(16):1495–1497. doi:10.1056/NEJMp1007168
Reid RO, Deb P, Howell BL, Shrank WH (2013) Association between Medicare Advantage plan star ratings and enrollment. JAMA 309(3):267–274. doi:10.1001/jama.2012.173925
The medicare part D prescription drug benefit the Henry J. Kaiser Family Foundation.pdf. Kaiser Family Foundation (2015). Kaiser Family Foundation
Weissman JS, Westrich K, Hargraves JL, Pearson SD, Dubois R, Emond S, Olufajo OA (2015) Translating comparative effectiveness research into Medicaid payment policy: views from medical and pharmacy directors. J Comp Eff Res 4(2):79–88. doi:10.2217/cer.14.68
Selby JV, Lipstein SH (2014) PCORI at 3 years – progress, lessons, and plans. N Engl J Med 370(7):592–595. doi:10.1056/NEJMp1313061
Timbie JW, Fox DS, Van Busum K, Schneider EC (2012) Five reasons that many comparative effectiveness studies fail to change patient care and clinical practice. Health Aff (Millwood) 31(10):2168–2175. doi:10.1377/hlthaff.2012.0150
Berger ML (2013) Can the pharmaceutical industry embrace comparative effectiveness research? A view from inside. Expert Rev Pharmacoecon Outcomes Res 13(5):565–568. doi:10.1586/14737167.2013.833061
Glick HA, McElligott S, Pauly MV, Willke RJ, Bergquist H, Doshi J, Fleisher LA, Kinosian B, Perfetto E, Polsky DE, Schwartz JS (2015) Comparative effectiveness and cost-effectiveness analyses frequently agree on value. Health Aff (Millwood) 34(5):805–811. doi:10.1377/hlthaff.2014.0552
Mohr P (2012) Looking at CER from Medicare’s perspective. J Manag Care Pharm JMCP 18(4 Suppl A):S5–S8. doi:10.18553/jmcp.2012.18.S8-A.S5
Neumann PJ (2013) Communicating and promoting comparative-effectiveness research findings. N Engl J Med 369(3):209–211. doi:10.1056/NEJMp1300312
Gusamo MK, Gray BH (2010) Evidence and fear: navigating the politics of evidence-based medicine. Acad Health Rep. 38. doi:citeulike-article-id:10755566
Pearson SD, Bach PB (2010) How medicare could use comparative effectiveness research in deciding on new coverage and reimbursement. Health Aff (Millwood) 29(10):1796–1804. doi:10.1377/hlthaff.2010.0623
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Rossiter, L.F. (2017). Decision-Making by Public Payers. In: Birnbaum, H., Greenberg, P. (eds) Decision Making in a World of Comparative Effectiveness Research. Adis, Singapore. https://doi.org/10.1007/978-981-10-3262-2_10
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