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Benefits and costs of methadone treatment: results from a lifetime simulation model

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  • Gary A. Zarkin
  • Laura J. Dunlap
  • Katherine A. Hicks
  • Daniel Mamo

Abstract

Several studies have examined the benefits and costs of drug treatment; however, they have typically focused on the benefits and costs of a single treatment episode. Although beneficial for certain analyses, the results are limited because they implicitly treat drug abuse as an acute problem that can be treated in one episode. We developed a Monte Carlo simulation model that incorporates the chronic nature of drug abuse. Our model represents the progression of individuals from the general population aged 18–60 with respect to their heroin use, treatment for heroin use, criminal behavior, employment, and health care use. We also present three model scenarios representing an increase in the probability of going to treatment, an increase in the treatment length of stay, and a scenario in which drug treatment is not available to evaluate how changes in treatment parameters affect model results. We find that the benefit–cost ratio of treatment from our lifetime model (37.72) exceeds the benefit–cost ratio from a static model (4.86). The model provides a rich characterization of the dynamics of heroin use and captures the notion of heroin use as a chronic recurring condition. Similar models can be developed for other chronic diseases, such as diabetes, mental illness, or cardiovascular disease. Copyright © 2005 John Wiley & Sons, Ltd.

Suggested Citation

  • Gary A. Zarkin & Laura J. Dunlap & Katherine A. Hicks & Daniel Mamo, 2005. "Benefits and costs of methadone treatment: results from a lifetime simulation model," Health Economics, John Wiley & Sons, Ltd., vol. 14(11), pages 1133-1150, November.
  • Handle: RePEc:wly:hlthec:v:14:y:2005:i:11:p:1133-1150
    DOI: 10.1002/hec.999
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    References listed on IDEAS

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    1. Zaric, G.S. & Barnett, P.G. & Brandeau, M.L., 2000. "HIV transmission and the cost-effectiveness of methadone maintenance," American Journal of Public Health, American Public Health Association, vol. 90(7), pages 1100-1111.
    2. Ellis, Bruce & Bernichon, Tiffiny & Yu, Ping & Roberts, Tracy & Herrell, James M., 2004. "Effect of social support on substance abuse relapse in a residential treatment setting for women," Evaluation and Program Planning, Elsevier, vol. 27(2), pages 213-221, May.
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    4. zarkin, Gary A. & French, Michael T. & Anderson, Donald W. & Bradley, Cathy J., 1994. "A conceptual framework for the economic evaluation of substance abuse interventions," Evaluation and Program Planning, Elsevier, vol. 17(4), pages 409-418.
    5. French, Michael T. & McCollister, Kathryn E. & Sacks, Stanley & McKendrick, Karen & De Leon, George, 2002. "Benefit-cost analysis of a modified therapeutic community for mentally ill chemical abusers," Evaluation and Program Planning, Elsevier, vol. 25(2), pages 137-148, May.
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    Cited by:

    1. Christine Godfrey, 2006. "Evidence-Based Illicit Drug Policy: The Potential Contribution of Economic Evaluation Techniques," De Economist, Springer, vol. 154(4), pages 563-580, December.
    2. Marta O. Soares & Luísa Canto e Castro, 2012. "Continuous Time Simulation and Discretized Models for Cost-Effectiveness Analysis," PharmacoEconomics, Springer, vol. 30(12), pages 1101-1117, December.
    3. Gary A. Zarkin & Alexander J. Cowell & Katherine A. Hicks & Michael J. Mills & Steven Belenko & Laura J. Dunlap & Kimberly A. Houser & Vince Keyes, 2012. "Benefits and costs of substance abuse treatment programs for state prison inmates: results from a lifetime simulation model," Health Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 633-652, June.
    4. Alison Ritter & Nagesh Shukla & Marian Shanahan & Phuong Van Hoang & Vu Lam Cao & Pascal Perez & Michael Farrell, 2016. "Building a Microsimulation Model of Heroin Use Careers in Australia," International Journal of Microsimulation, International Microsimulation Association, vol. 9(3), pages 140-176.
    5. Kevin N. Griffith & Lawrence M. Scheier, 2013. "Did We Get Our Money’s Worth? Bridging Economic and Behavioral Measures of Program Success in Adolescent Drug Prevention," IJERPH, MDPI, vol. 10(11), pages 1-28, November.
    6. Marta Soares & Luísa Canto e Castro, 2012. "Continuous Time Simulation and Discretized Models for Cost-Effectiveness Analysis," PharmacoEconomics, Springer, vol. 30(12), pages 1101-1117, December.
    7. Emanuel Krebs & Jeong E. Min & Elizabeth Evans & Libo Li & Lei Liu & David Huang & Darren Urada & Thomas Kerr & Yih-Ing Hser & Bohdan Nosyk, 2017. "Estimating State Transitions for Opioid Use Disorders," Medical Decision Making, , vol. 37(5), pages 483-497, July.

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