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What do we get for our money? Cost‐effectiveness of adding contingency management
Author(s) -
Sindelar Jody,
Elbel Brian,
Petry Nancy M.
Publication year - 2007
Publication title -
addiction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.424
H-Index - 193
eISSN - 1360-0443
pISSN - 0965-2140
DOI - 10.1111/j.1360-0443.2006.01689.x
Subject(s) - abstinence , contingency management , medicine , cost effectiveness , unit cost , cost–benefit analysis , willingness to pay , emergency medicine , psychiatry , economics , risk analysis (engineering) , ecology , biology , microeconomics , intervention (counseling)
Aims To assess the relative cost‐effectiveness of lower versus higher cost prize‐based contingency management (CM) treatments for cocaine abuse. Design Cost‐effectiveness analyses based on resource utilization, unit costs and outcomes from a previous CM efficacy trial. Setting Two community‐based treatment centers. Participants Patients ( n = 120) enrolled in out‐patient treatment for cocaine abuse. Intervention Random assignment to one of three 12‐week treatment conditions: standard treatment (STD) alone or two variants of STD combined with prize based CM. In CM, drawing for prizes was available to those submitting drug‐free urine samples and completing goal‐related activities. There were two levels of pay‐out (referred to as $80 versus $240) based on the potential value of prizes won. Measurements Costs per participant associated with counseling utilization, urine and breathalyzer testing, and operation of the prize‐drawing procedure were derived from a survey conducted at 16 clinics that had participated in CM studies. The three measures of effectiveness were: (1) longest duration of consecutive abstinence; (2) percentage completing treatment; and (3) percentage of samples drug‐free. Findings The higher magnitude CM produced outcomes at a lower per unit cost than did the lower magnitude prize CM treatment. This was the case for all three outcome measures examined and held across various assumptions in the sensitivity analysis. Conclusions Cost‐effectiveness analyses can inform policy decisions regarding selection of one treatment model over another. Decisions on adoption of new evidence‐based treatments would be aided by more information on society's willingness to pay for incremental gains in effectiveness.