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What happens when the insurer can say no? Assessing prior authorization as a tool to prevent high-risk prescriptions and to lower costs

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  • Dillender, Marcus

Abstract

Insurers are increasingly requiring physicians to obtain prior authorization before prescribing drugs that are costly or have high abuse potential. These prior authorization requirements have the potential to reduce risky prescriptions and to lower prescription drug costs, but little is known about their ability to do either. This study estimates the effect of a prior authorization requirement for certain costly and abuse-prone drugs on prescription drug use and costs for work-related injuries in Texas. The findings indicate that the prior authorization requirement reduces the likelihood that claimants receive non-preferred drugs as well as insurers' spending on non-preferred drugs. While there is some substitution to preferred drugs, I do not find evidence of large increases in spending on preferred drugs. The estimated effects on average total pharmacy spending are imprecise, though there is suggestive evidence that the prior authorization requirement reduces the likelihood that a claim has high prescription drug costs. The results provide strong evidence that the prior authorization requirement drastically reduces the likelihood that patients receive combinations of drugs that have contributed disproportionately to the rise in prescription drug overdoses. Despite the success of prior authorization in lowering spending on non-preferred drugs and in reducing high-risk prescriptions, I find little evidence that prior authorization has disproportionately large effects on the most dangerous prescription drug use and only weak, suggestive evidence that it has larger effects on prescription drug use that likely arises because physicians are not fully informed, suggesting that prior authorization requirements do not necessarily target the riskiest drug use.

Suggested Citation

  • Dillender, Marcus, 2018. "What happens when the insurer can say no? Assessing prior authorization as a tool to prevent high-risk prescriptions and to lower costs," Journal of Public Economics, Elsevier, vol. 165(C), pages 170-200.
  • Handle: RePEc:eee:pubeco:v:165:y:2018:i:c:p:170-200
    DOI: 10.1016/j.jpubeco.2018.07.006
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    1. David Card & Brian P. McCall, 1996. "Is Workers' Compensation Covering Uninsured Medical Costs? Evidence from the “Monday Effectâ€," ILR Review, Cornell University, ILR School, vol. 49(4), pages 690-706, July.
    2. Jeff Biddle & Karen Roberts, 2003. "Claiming Behavior in Workers' Compensation," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 70(4), pages 759-780, December.
    3. Afendulis, Christopher C. & Sinaiko, Anna D. & Frank, Richard G., 2015. "Dominated choices and Medicare Advantage enrollment," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 72-83.
    4. Manning, Willard G, et al, 1987. "Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment," American Economic Review, American Economic Association, vol. 77(3), pages 251-277, June.
    5. Seabury Seth A. & Lakdawalla Darius N. & Walter Deborah & Hayes John & Gustafson Thomas & Shrestha Anshu & Goldman Dana P., 2014. "Patient Outcomes and Cost Effects of Medicaid Formulary Restrictions on Antidepressants," Forum for Health Economics & Policy, De Gruyter, vol. 17(2), pages 153-168, September.
    6. Chandra, Amitabh & Gruber, Jonathan & McKnight, Robin, 2014. "The impact of patient cost-sharing on low-income populations: Evidence from Massachusetts," Journal of Health Economics, Elsevier, vol. 33(C), pages 57-66.
    7. Alan I. Barreca & Melanie Guldi & Jason M. Lindo & Glen R. Waddell, 2011. "Saving Babies? Revisiting the effect of very low birth weight classification," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 2117-2123.
    8. Benjamin R. Handel & Jonathan T. Kolstad, 2015. "Health Insurance for "Humans": Information Frictions, Plan Choice, and Consumer Welfare," American Economic Review, American Economic Association, vol. 105(8), pages 2449-2500, August.
    9. Keith M. Marzilli Ericson, 2014. "Consumer Inertia and Firm Pricing in the Medicare Part D Prescription Drug Insurance Exchange," American Economic Journal: Economic Policy, American Economic Association, vol. 6(1), pages 38-64, February.
    10. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    11. Heiss, Florian & Leive, Adam & McFadden, Daniel & Winter, Joachim, 2013. "Plan selection in Medicare Part D: Evidence from administrative data," Journal of Health Economics, Elsevier, vol. 32(6), pages 1325-1344.
    12. Michael L. Anderson, 2014. "Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion," American Economic Review, American Economic Association, vol. 104(9), pages 2763-2796, September.
    13. Dillender, Marcus, 2015. "The effect of health insurance on workers’ compensation filing: Evidence from the affordable care act's age-based threshold for dependent coverage," Journal of Health Economics, Elsevier, vol. 43(C), pages 204-228.
    14. Dunn, Abe, 2016. "Health insurance and the demand for medical care: Instrumental variable estimates using health insurer claims data," Journal of Health Economics, Elsevier, vol. 48(C), pages 74-88.
    15. Hitoshi Shigeoka, 2014. "The Effect of Patient Cost Sharing on Utilization, Health, and Risk Protection," American Economic Review, American Economic Association, vol. 104(7), pages 2152-2184, July.
    16. Powell, David & Pacula, Rosalie Liccardo & Taylor, Erin, 2020. "How increasing medical access to opioids contributes to the opioid epidemic: Evidence from Medicare Part D," Journal of Health Economics, Elsevier, vol. 71(C).
    17. Paul Contoyannis & Jeremiah Hurley & Paul Grootendorst & Sung‐Hee Jeon & Robyn Tamblyn, 2005. "Estimating the price elasticity of expenditure for prescription drugs in the presence of non‐linear price schedules: an illustration from Quebec, Canada," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 909-923, September.
    18. Pedro Carneiro & Katrine V. Løken & Kjell G. Salvanes, 2015. "A Flying Start? Maternity Leave Benefits and Long-Run Outcomes of Children," Journal of Political Economy, University of Chicago Press, vol. 123(2), pages 365-412.
    19. Mark Duggan & Patrick Healy & Fiona Scott Morton, 2008. "Providing Prescription Drug Coverage to the Elderly: America's Experiment with Medicare Part D," Journal of Economic Perspectives, American Economic Association, vol. 22(4), pages 69-92, Fall.
    20. Amitabh Chandra & Jonathan Gruber & Robin McKnight, 2010. "Patient Cost-Sharing and Hospitalization Offsets in the Elderly," American Economic Review, American Economic Association, vol. 100(1), pages 193-213, March.
    21. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    22. Christopher Carpenter & Carlos Dobkin, 2009. "The Effect of Alcohol Consumption on Mortality: Regression Discontinuity Evidence from the Minimum Drinking Age," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 164-182, January.
    23. Dillender, Marcus, 2016. "The impact of a closed formulary on prescribing patterns in the treatment of injured workers," Economics Letters, Elsevier, vol. 145(C), pages 88-91.
    24. Martin Andersen, 2017. "Constraints on Formulary Design Under the Affordable Care Act," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 160-178, December.
    25. Maria Polyakova, 2016. "Regulation of Insurance with Adverse Selection and Switching Costs: Evidence from Medicare Part D," American Economic Journal: Applied Economics, American Economic Association, vol. 8(3), pages 165-195, July.
    26. Colleen Carey, 2017. "Technological Change and Risk Adjustment: Benefit Design Incentives in Medicare Part D," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 38-73, February.
    27. Bachhuber, M.A. & Hennessy, S. & Cunningham, C.O. & Starrels, J.L., 2016. "Increasing benzodiazepine prescriptions and overdose mortality in the United States, 1996-2013," American Journal of Public Health, American Public Health Association, vol. 106(4), pages 686-688.
    28. Laura Dague & Thomas DeLeire & Lindsey Leininger, 2017. "The Effect of Public Insurance Coverage for Childless Adults on Labor Supply," American Economic Journal: Economic Policy, American Economic Association, vol. 9(2), pages 124-154, May.
    29. Darius N Lakdawalla & Robert T Reville & Seth A Seabury, 2007. "How Does Health Insurance Affect Workers’ Compensation Filing?," Economic Inquiry, Western Economic Association International, vol. 45(2), pages 286-303, April.
    30. Saurabh Bhargava & George Loewenstein & Justin Sydnor, 2015. "Do Individuals Make Sensible Health Insurance Decisions? Evidence from a Menu with Dominated Options," NBER Working Papers 21160, National Bureau of Economic Research, Inc.
    31. Michele Campolieti & Douglas E. Hyatt, 2006. "Further Evidence on the “Monday Effect†in Workers' Compensation," ILR Review, Cornell University, ILR School, vol. 59(3), pages 438-450, April.
    32. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    33. Egger, Peter H. & Wamser, Georg, 2015. "The impact of controlled foreign company legislation on real investments abroad. A multi-dimensional regression discontinuity design," Journal of Public Economics, Elsevier, vol. 129(C), pages 77-91.
    34. Fukushima, Kazuya & Mizuoka, Sou & Yamamoto, Shunsuke & Iizuka, Toshiaki, 2016. "Patient cost sharing and medical expenditures for the Elderly," Journal of Health Economics, Elsevier, vol. 45(C), pages 115-130.
    35. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    36. Jason Abaluck & Jonathan Gruber, 2016. "Evolving Choice Inconsistencies in Choice of Prescription Drug Insurance," American Economic Review, American Economic Association, vol. 106(8), pages 2145-2184, August.
    37. Thomas C. Buchmueller & Colleen Carey, 2018. "The Effect of Prescription Drug Monitoring Programs on Opioid Utilization in Medicare," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 77-112, February.
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    More about this item

    Keywords

    Prior authorization; Prescription drug abuse; Workers' compensation; Health care spending; Prescribing behavior;
    All these keywords.

    JEL classification:

    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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