Literature DB >> 15693730

A randomised trial of the cost effectiveness of buprenorphine as an alternative to methadone maintenance treatment for heroin dependence in a primary care setting.

Anthony H Harris1, Elena Gospodarevskaya, Alison J Ritter.   

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 (DollarA).
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 DollarA 17,736 (95% CI -DollarA 2981, DollarA 38,364) with methadone and DollarA 11,916 (95% CI DollarA 7697, DollarA 16,135) with buprenorphine; costs excluding crime were DollarA 4513 (95% CI DollarA 3495, DollarA 5531) and DollarA 5651 (95% CI DollarA 4202, DollarA 7100). 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 DollarA 39,404 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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Year:  2005        PMID: 15693730     DOI: 10.2165/00019053-200523010-00007

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  26 in total

1.  Is there a kink in consumers' threshold value for cost-effectiveness in health care?

Authors:  Bernie J O'Brien; Kirsten Gertsen; Andrew R Willan; Lisa A Faulkner
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Journal:  Health Econ       Date:  1998-12       Impact factor: 3.046

Review 3.  Pulling cost-effectiveness analysis up by its bootstraps: a non-parametric approach to confidence interval estimation.

Authors:  A H Briggs; D E Wonderling; C Z Mooney
Journal:  Health Econ       Date:  1997 Jul-Aug       Impact factor: 3.046

4.  Buprenorphine versus methadone maintenance for the treatment of opioid dependence.

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Journal:  Addiction       Date:  1999-09       Impact factor: 6.526

5.  A comparison of levomethadyl acetate, buprenorphine, and methadone for opioid dependence.

Authors:  R E Johnson; M A Chutuape; E C Strain; S L Walsh; M L Stitzer; G E Bigelow
Journal:  N Engl J Med       Date:  2000-11-02       Impact factor: 91.245

6.  Prognostic factors in Buprenorphine- versus methadone-maintained patients.

Authors:  R S Schottenfeld; J R Pakes; T R Kosten
Journal:  J Nerv Ment Dis       Date:  1998-01       Impact factor: 2.254

7.  Buprenorphine versus methadone in the treatment of opioid-dependent cocaine users.

Authors:  E C Strain; M L Stitzer; I A Liebson; G E Bigelow
Journal:  Psychopharmacology (Berl)       Date:  1994-12       Impact factor: 4.530

8.  Buprenorphine maintenance treatment of opiate dependence: a multicenter, randomized clinical trial.

Authors:  W Ling; C Charuvastra; J F Collins; S Batki; L S Brown; P Kintaudi; D R Wesson; L McNicholas; D J Tusel; U Malkerneker; J A Renner; E Santos; P Casadonte; C Fye; S Stine; R I Wang; D Segal
Journal:  Addiction       Date:  1998-04       Impact factor: 6.526

Review 9.  Buprenorphine maintenance versus placebo or methadone maintenance for opioid dependence.

Authors:  R P Mattick; J Kimber; C Breen; M Davoli
Journal:  Cochrane Database Syst Rev       Date:  2004

10.  Buprenorphine versus methadone maintenance: a cost-effectiveness analysis.

Authors:  Christopher M Doran; Marian Shanahan; Richard P Mattick; Robert Ali; Jason White; James Bell
Journal:  Drug Alcohol Depend       Date:  2003-09-10       Impact factor: 4.492

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  25 in total

Review 1.  Office-based maintenance treatment of opioid dependence: how does it compare with traditional approaches?

Authors:  Erik W Gunderson; David A Fiellin
Journal:  CNS Drugs       Date:  2008       Impact factor: 5.749

2.  Cost analysis of clinic and office-based treatment of opioid dependence: results with methadone and buprenorphine in clinically stable patients.

Authors:  Emlyn S Jones; Brent A Moore; Jody L Sindelar; Patrick G O'Connor; Richard S Schottenfeld; David A Fiellin
Journal:  Drug Alcohol Depend       Date:  2008-09-19       Impact factor: 4.492

3.  Methadone maintenance and the cost and utilization of health care among individuals dependent on opioids in a commercial health plan.

Authors:  Dennis McCarty; Nancy A Perrin; Carla A Green; Michael R Polen; Michael C Leo; Frances Lynch
Journal:  Drug Alcohol Depend       Date:  2010-10-01       Impact factor: 4.492

4.  Cost-effectiveness of extended buprenorphine-naloxone treatment for opioid-dependent youth: data from a randomized trial.

Authors:  Daniel Polsky; Henry A Glick; Jianing Yang; Geetha A Subramaniam; Sabrina A Poole; George E Woody
Journal:  Addiction       Date:  2010-07-12       Impact factor: 6.526

5.  Health-related quality of life changes associated with buprenorphine treatment for opioid dependence.

Authors:  Dennis W Raisch; Heather M Campbell; David A Garnand; Mark A Jones; Mike R Sather; Rupali Naik; Walter Ling
Journal:  Qual Life Res       Date:  2011-10-11       Impact factor: 4.147

6.  Longitudinal association of preference-weighted health-related quality of life measures and substance use disorder outcomes.

Authors:  Jeffrey M Pyne; Shanti Tripathi; Michael French; Kathryn McCollister; Richard C Rapp; Brenda M Booth
Journal:  Addiction       Date:  2011-03       Impact factor: 6.526

7.  [The impact of opening a heroin-assisted treatment clinic on the surrounding neighborhood].

Authors:  Marc-André Ally; Serge Brochu; Etienne Blais
Journal:  Can J Public Health       Date:  2011 May-Jun

Review 8.  The estimation of utility weights in cost-utility analysis for mental disorders: a systematic review.

Authors:  Michael Sonntag; Hans-Helmut König; Alexander Konnopka
Journal:  Pharmacoeconomics       Date:  2013-12       Impact factor: 4.981

9.  Integrating buprenorphine maintenance therapy into federally qualified health centers: real-world substance abuse treatment outcomes.

Authors:  Marwan S Haddad; Alexei Zelenev; Frederick L Altice
Journal:  Drug Alcohol Depend       Date:  2013-01-17       Impact factor: 4.492

Review 10.  Economic evaluation of interventions to treat opiate dependence : a review of the evidence.

Authors:  Christopher M Doran
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

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