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The impact of a closed formulary on prescribing patterns in the treatment of injured workers

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  • Dillender, Marcus

Abstract

Prescription drug spending accounts for nearly twenty percent of workers’ compensation (WC) health care costs, and prescription drug overdose is a leading cause of death in the United States. To guide physicians to prescribe safer, less addictive, and more cost-effective drugs, Texas WC implemented one of the first formularies tailored specifically for the treatment of work-related injuries by establishing a list of non-preferred drugs that require preauthorization before they can be prescribed. I draw on Texas WC administrative data on medical and pharmacy bills to examine the impact of the formulary on health care bills paid for through WC several months after a worker’s initial injury. I find that the closed formulary results in workers being half as likely to use non-preferred drugs and reduces average spending on non-preferred drugs by half several months after claims begin. I find no evidence that spending on preferred drugs or spending on non-pharmacy medical care increase to compensate for the decreased spending on non-preferred drugs. The lack of a shift towards preferred drugs suggests that doctors were not choosing non-preferred drugs over preferred drugs prior to the formulary. Instead, non-preferred drugs were one of multiple approaches doctors used in treating work-related injuries.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecolet:v:145:y:2016:i:c:p:88-91
    DOI: 10.1016/j.econlet.2016.06.001
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    References listed on IDEAS

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    1. Mark Duggan & Fiona Scott Morton, 2010. "The Effect of Medicare Part D on Pharmaceutical Prices and Utilization," American Economic Review, American Economic Association, vol. 100(1), pages 590-607, March.
    2. 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.
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    1. 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.

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    Keywords

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    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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