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A Randomised Trial of the Cost Effectiveness of Buprenorphine as an Alternative to Methadone Maintenance Treatment for Heroin Dependence in a Primary Care Setting

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Author Info
Anthony H. Harris (Centre for Health Program Evaluation, Monash University, Melbourne, Australia)
Elena Gospodarevskaya (Centre for Health Program Evaluation, Monash University, Melbourne, Australia)
Alison J. Ritter (Turning Point Alcohol & Drug Centre, Melbourne, Australia)

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Abstract

Background and aim: Buprenorphine offers an alternative to methadone in the treatment of heroin dependence, and has the advantage of allowing alternate-day dosing. This study is the first to examine the cost effectiveness of buprenorphine as maintenance treatment for heroin dependence in a primary care setting using economic and clinical data collected within a randomised trial. Study design and methods: The study was a randomised, open-label, 12-month trial of 139 heroin-dependent patients in a community setting receiving individualised treatment regimens of buprenorphine or methadone. Those who were currently on a methadone program (n = 57; continuing therapy subgroup) were analysed separately from new treatment recipients (n = 82; initial therapy subgroup). The study took a broad societal perspective and included health, crime and personal costs. Data on resource use and outcomes were a combination of clinical records and self report at interview. The main outcomes were incremental cost per additional day free of heroin use and per QALY. An analysis of uncertainty calculated the likelihood of net benefits for a range of acceptable money values of outcomes. All costs were in 1999 Australian dollars ($A). Results: The estimated mean number of heroin-free days did not differ significantly between those randomised to methadone (225 [95% CI 91, 266]), or buprenorphine (222 [95% CI 194, 250]) over the year of the trial. Buprenorphine was associated with an average 0.03 greater QALYs over 52 weeks (not significant). The total cost was $A17_736 (95% CI -$A2981, $A38_364) with methadone and $A11_916 (95% CI $A7697, $A16_135) with buprenorphine; costs excluding crime were $A4513 (95% CI $A3495, $A5531) and $A5651 (95% CI $A4202, $A7100). With additional heroin-free days as the outcome, and crime costs included buprenorphine has a lower cost but less heroin-free days. If crime costs are excluded buprenorphine has a higher cost and worse outcome than methadone. With additional QALYs as the outcome, the cost effectiveness of buprenorphine is $A39_404 if crime is excluded, but buprenorphine is dominant if crime is included. Conclusions: The trial found no significant differences in costs or outcomes between methadone and buprenorphine maintenance in this particular setting. Although some of the results suggest that methadone may have a cost advantage, it is difficult to infer from the trial data that offering buprenorphine as an alternative would have a significant effect on total costs or outcomes. The point estimates of costs and outcomes suggest that buprenorphine may have an advantage in those initiating therapy. The confidence intervals were wide, however, and the likelihood of net benefits from substituting one treatment for another was close to 50%.

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Publisher Info
Article provided by Wolters Kluwer Health | Adis in its journal PharmacoEconomics.

Volume (Year): 23 (2005)
Issue (Month): 1 ()
Pages: 77-91
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Handle: RePEc:wkh:phecon:v:23:y:2005:i:1:p:77-91

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Web page: http://pharmacoeconomics.adisonline.com/

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Related research
Keywords: Buprenorphine; Cost-effectiveness; Heroin-abuse; Methadone;

Other versions of this item:

Find related papers by JEL classification:
C - Mathematical and Quantitative Methods
D - Microeconomics
I - Health, Education, and Welfare
Z - Other Special Topics
I1 - Health, Education, and Welfare - - Health
I19 - Health, Education, and Welfare - - Health - - - Other
I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

Cited by:
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  1. Andrea Marshall & Lucinda Billingham & Stirling Bryan, 2009. "Can we afford to ignore missing data in cost-effectiveness analyses?," The European Journal of Health Economics, Springer, vol. 10(1), pages 1-3, February. [Downloadable!] (restricted)
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