↓ Skip to main content

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

Overview of attention for article published in PharmacoEconomics, September 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

policy
4 policy sources

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
66 Mendeley
Title
A randomised trial of the cost effectiveness of buprenorphine as an alternative to methadone maintenance treatment for heroin dependence in a primary care setting
Published in
PharmacoEconomics, September 2012
DOI 10.2165/00019053-200523010-00007
Pubmed ID
Authors

Anthony H. Harris, Elena Gospodarevskaya, Alison J. Ritter

Abstract

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. 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). 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. 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%.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 65 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 20%
Other 9 14%
Researcher 8 12%
Student > Ph. D. Student 8 12%
Student > Doctoral Student 5 8%
Other 12 18%
Unknown 11 17%
Readers by discipline Count As %
Medicine and Dentistry 25 38%
Nursing and Health Professions 5 8%
Psychology 5 8%
Social Sciences 3 5%
Economics, Econometrics and Finance 3 5%
Other 9 14%
Unknown 16 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 June 2017.
All research outputs
#2,863,439
of 25,371,288 outputs
Outputs from PharmacoEconomics
#247
of 1,991 outputs
Outputs of similar age
#19,810
of 189,075 outputs
Outputs of similar age from PharmacoEconomics
#31
of 547 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,991 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 189,075 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 547 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.