Cited by 23Healthcare Policy and ManagementPharmaceutical Economics and PolicyHealthcare Systems and Reforms

Determinants of Change in Medicaid Pharmaceutical Cost Sharing: Does Evidence Affect Policy?

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Soumerai, Stephen B., Ross‐Degnan, Dennis, Fortess, Eric E., Walser, Bryan L.·1997·The Milbank Quarterly

Abstract

Since 1980, many Medicaid programs have instituted, adjusted, or abolished pharmaceutical copayments or limitations on the number of prescriptions per patient (caps). Studies indicate that prescription caps can harm patients and increase Medicaid costs. However, because there is little information on how state policy makers select and evaluate such policies, in‐depth telephone interviews were conducted with key informants in Medicaid programs that had recently made changes in cost‐sharing policies. Among the barriers to evidence‐based policy making were lack of political power, skills, and infrastructure; crisis‐oriented decisions; compartmentalized budgeting; lack of advocates for disadvantaged patients; and the absence of timely research. Research was applied successfully when the interests of patient advocates and the drug industry were aligned and when Medicaid analysts were able to identify and communicate relevant research to policy makers at the time, or “teachable moment,” that policy was being changed.

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  • Decision makers, even if they have access to required information and have relevant expertise, may not engage in complex cognitive information processing when making decisions.

    “However, decision-making research has shown that decision makers, even if they have access to required information and have relevant expertise, may not engage in complex cognitive information processing when making decisions [13,15,44,46-50].”

    From Rationality versus reality: the challenges of evidence-based decision making for health policy makers (2010) · cites this paper as [15]

    The Discussion (page unavailable) says Medicaid managers sometimes knew of relevant research and policy risks, yet political pressure for quick budget fixes often prevailed. This supports the point that access to information need not produce an evidence-based decision. The paper does not establish that decision makers with relevant expertise declined to engage in complex cognitive processing; it instead emphasizes political constraints and, in the ‘Lack of Infrastructure for Policy Formulation and Evaluation’ section, gaps in analytic skills. (LLM, conf=0.78)

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  • Cognitive processing research has identified both bounded rationality and 'satisficing' as limitations to complex cognitive processing.

    “For example, cognitive processing research has identified both bounded rationality and 'satisficing' as limitations to complex cognitive processing [2,15,44,46-50].”

    From Rationality versus reality: the challenges of evidence-based decision making for health policy makers (2010) · cites this paper as [15]

    The 'Lack of Infrastructure for Policy Formulation and Evaluation' section (page unavailable) describes limited analytic skills and subjective Medicaid policy decisions, but does not identify bounded rationality or satisficing as cognitive-processing limitations. Searches for both terms found no passage in our copy addressing that claim. (LLM, conf=0.76)

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Research works printed but not linked: 14

  1. Banta, H.D., and P. Bauman. 1976. Health Services Research and Health Policy. Journal of Community Health 2:121-32.
  2. Brown, B.S. 1987. Networking between Research and Service Delivery. International Journal of the Addictions 22(4):301-17.
  3. Cox, G.B. 1978. Managerial Style: Implications for the Utilization for Program Evaluation Information. Evaluation Quarterly 1:499-508.
  4. Ghoshal, S., and C.A. Bartlett. 1995. Changing the Role of Top Man- agement: Beyond Structure to Process. Harvard Business Review ( Janu- ary): 86. Health Care Financing Administration. 1980-93. Statistical Reports on Medical Care: Eligibles, Recipients, Payments, and Services (2082 reports). Washington, D.C. (Also reproduced in: National Pharma- ceutical Council. 1981-94. Pharmaceutical Benefits Under State Medi- cal Assistance Programs. Reston, Va.)
  5. Ostraff, F., and D. Smith. 1992. The Horizontal Organization: Rede- signing the Corporation. McKinsey Quarterly ( January):148.
  6. Schondelmeyer, S.W., and J. Thomas. 1990. Trends in Retail Prescrip- tion Expenditures. Health Affairs 9(3):131-45.
  7. Schroeder, S.A., and J.C. Cantor. 1991. On Squeezing Balloons: Cost Control Fails Again. New England Journal of Medicine 325:1099- 2000 (Editorial).
  8. Smalley, W.E., M.R. Griffin, R.L. Fought, L. Sullivan, and W.A. Ray. 1995. Effect of a Prior-Authorization Requirement on the Use of Nonsteroidal Antiinflammatory Drugs by Medicaid Patients. New England Journal of Medicine 332:1612-7.
  9. Solomon, M.A., and S.M. Shortell. 1981. Designing Health Policy Re- search for Utilization. Health Policy Quarterly 1(3):217-37.
  10. Chichester, U.K.: Wiley.
  11. Soumerai, S.B., D. Ross-Degnan, J. Avorn, et al. 1991. Effects of Med- icaid Drug-Payment Limits on Admission to Hospitals and Nurs- ing Homes. New England Journal of Medicine 325:1072-7, 1099- 1100.
  12. Soumerai, S.B., D. Ross-Degnan, E.E. Fortess, and J. Abelson. 1993. A Critical Analysis of State Drug Reimbursement Policies: Research in Need of Discipline. Milbank Quarterly 71:217-52.
  13. Soumerai, S.B., T.J. McLaughlin, D. Ross-Degnan, et al. 1994. Effects of Limiting Medicaid Drug-Reimbursement Benefits on the Use of Psychotropic Agents and Acute Mental Health Services by Patients with Schizophrenia. New England Journal of Medicine 331:650-5.
  14. Williams, W. 1971. Social Policy Research and Analysis: The Experience in the Federal Social Agencies. New York: Elsevier.

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Authors
Soumerai, S. B., Ross‐Degnan, D., Fortess, E. E., & Walser, B. L.
Affiliations
  • Harvard University (US)
  • Harvard Pilgrim Health Care (US)
Venue
The Milbank Quarterly
Publisher
Wiley
Published
1997-03
Volume
75
Issue
1
Pages
11-34
ISSN
  • 0887-378X (ISSN-L)
  • 1468-0009
OpenAlex
W2084029131
Cited by
23
References
0
Citations by year
2016: 2 · 2013: 1
FWCI
5.32
Type
journal article
Language
en
Open access
Locations
  • Milbank Quarterly (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
Robert Wood Johnson Foundation
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Pharmaceutical Economics and Policy
  • Social Sciences › Economics, Econometrics and Finance › Finance › Healthcare Systems and Reforms
Keywords
Medicaid, evidence-based policy making, health policy decision-making, patient advocates, pharmaceutical industry influence, teachable moments, Medicaid costs
MeSH terms
Deductibles and Coinsurance, Health Policy, Health Services Research, Humans, Insurance, Pharmaceutical Services, Interviews as Topic, Medicaid, Patient Advocacy, Politics, Drug Prescriptions, United States, Cost Sharing

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