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We evaluated an Internet-based contingency management intervention to promote smoking cessation. Participants in the contingent group (n = 39) earned vouchers contingent on video confirmation of breath carbon monoxide (CO) ≤ 4 parts per million (ppm). Earnings for participants in the noncontingent group (n = 38) were independent of CO levels. Goals and feedback about smoking status were provided on participants' homepages. The median percentages of negative samples during the intervention in the noncontingent and contingent groups were 25% and 66.7%, respectively. There were no significant differences in absolute CO levels or abstinence at 3- and 6-month follow-ups. Compared to baseline, however, participants in both groups reduced CO by an estimated 15.6 ppm during the intervention phases. The results suggest that the contingency for negative COs promoted higher rates of abstinence during treatment, and that other elements of the system, such as feedback, frequent monitoring, and goals, reduced smoking., (© Society for the Experimental Analysis of Behavior.)

Technology-based interventions to promote health are expanding rapidly. Assessing the preliminary efficacy of these interventions can be achieved by employing single-case experiments (sometimes referred to as n-of-1 studies). Although single-case experiments are often misunderstood, they offer excellent solutions to address the challenges associated with testing new technology-based interventions. This paper provides an introduction to single-case techniques and highlights advances in developing and evaluating single-case experiments, which help ensure that treatment outcomes are reliable, replicable, and generalizable. These advances include quality control standards, heuristics to guide visual analysis of time-series data, effect size calculations, and statistical analyses. They also include experimental designs to isolate the active elements in a treatment package and to assess the mechanisms of behavior change. The paper concludes with a discussion of issues related to the generality of findings derived from single-case research and how generality can be established through replication and through analysis of behavioral mechanisms.

Background and aims Contingency management (CM) is one of the most effective behavioral interventions to promote drug abstinence, but availability of this treatment is limited. We evaluated the efficacy and acceptability of internet-based CM relative to an internet-based monitoring and goal-setting control group in a nationwide sample of cigarette smokers. Design Randomized controlled trial with 3- and 6-month follow-ups. Setting United States. Participants Smokers ( n = 94) from 26 states were enrolled (mean age 36, 56% female). Intervention and comparator Participants were randomized to earn financial incentives (up to $480 over 7 weeks) based on video-verified abstinence using breath carbon monoxide (CO) output ( n = 48; abstinent contingent group, AC), or based on submitting CO samples ( n = 46, submission contingent, SC). Both groups also received the same CO-based goals. A $50 deposit was required in both groups that could be recouped from initial earnings. Measures The primary outcome was point prevalence at week 4. Secondary outcomes were point prevalence at the 3- and 6-month follow-ups, percentages of negative CO samples, adherence to the CO sampling protocol, and treatment acceptability ratings on a 0-100-mm visual analog scale. Findings Abstinence rates differed at 4 weeks between the AC (39.6%) and SC (13.0%) groups [odds ratio (OR) = 4.4, 95% confidence interval (CI) = 1.6-12.3], but not at the 3- (29.2% AC and 19.6% SC, OR = 1.7, 95% CI = 0.6-4.4) or 6- (22.9% AC and 13.0% SC, OR = 2.0, 95% CI = 0.7-5.9) month follow-ups. During the two main treatment phases, there were significant differences in negative COs (53.9% AC and 24.8% SC, OR = 3.5, 95% CI = 3.1-4.0; 43.4% AC and 24.6% SC, OR = 2.3, 95% CI = 1.6-3.4). Adherence to the CO submission protocol was equivalent (78% AC and 85% SC, difference = 7.0%, 95% CI = −10.3 to 23.8 %, F < 1, P = 0.39). The lowest acceptability ratings were for the items assessing the deposit, whereas the highest ratings concerned the ease of the intervention, the graph of CO results, and earning money. Conclusions A contingency management/financial incentive program delivered via the internet improved short-term abstinence rates compared with an internet program without the incentives. [ABSTRACT FROM AUTHOR]

Behavior plays an important role in health promotion. Exercise, smoking cessation, medication adherence, and other healthy behavior can help prevent, or even treat, some diseases. Consequently, interventions that promote healthy behavior have become increasingly common in health care settings. Many of these interventions award incentives contingent upon preventive health-related behavior. Incentive-based interventions vary considerably along several dimensions, including who is targeted in the intervention, which behavior is targeted, and what type of incentive is used. More research on the quantitative and qualitative features of many of these variables is still needed to inform treatment. However, extensive literature on basic and applied behavior analytic research is currently available to help guide the study and practice of incentive-based treatment in health care. In this integrated review, we discuss how behavior analytic research and theory can help treatment providers design and implement incentive-based interventions that promote healthy behavior. [ABSTRACT FROM AUTHOR]

Information technology represents an excellent medium to deliver contingencies of reinforcement to change behavior. Recently, we have linked the Internet with a science-based, behavioral treatment for cigarette smoking: abstinence reinforcement therapy. Under abstinence reinforcement interventions, incentives are provided for objective evidence of abstinence. Several studies suggest that the intervention is effective in initiating abstinence. The intervention addresses limitations (access, cost, sustainability, and dissemination potential) inherent in traditional abstinence reinforcement delivery models. It can also be applied to vulnerable, at-risk populations, and to other behavior to promote health. Information technologies offer unprecedented and rapidly expanding opportunities to facilitate behavior change. [ABSTRACT FROM AUTHOR]