Developing a Game (Inner Dragon) Within a Leading Smartphone App for Smoking Cessation: Design and Feasibility Evaluation Study.

BACKGROUND: Several stand-alone smartphone apps have used serious games to provide an engaging approach to quitting smoking. So far, the uptake of these games has been modest, and the evidence base for their efficacy in promoting smoking cessation is still evolving. The feasibility of integrating a game into a popular smoking cessation app is unclear. OBJECTIVE: The aim of this paper was to describe the design and iterative development of the Inner Dragon game within Smoke Free, a smartphone app with proven efficacy, and the results of a single-arm feasibility trial as part of a broad program that seeks to assess the effectiveness of the gamified app for smoking cessation. METHODS: In phase 1, the study team undertook a multistep process to design and develop the game, including web-based focus group discussions with end users (n=15). In phase 2, a single-arm study of Smoke Free users who were trying to quit (n=30) was conducted to assess the feasibility and acceptability of the integrated game and to establish the feasibility of the planned procedures for a randomized pilot trial. RESULTS: Phase 1 led to the final design of Inner Dragon, informed by principles from psychology and behavioral economics and incorporating several game mechanics designed to increase user engagement and retention. Inner Dragon users maintain an evolving pet dragon that serves as a virtual avatar for the users' progress in quitting. The phase-2 study established the feasibility of the study methods. The mean number of app sessions completed per user was 13.8 (SD 13.1; median 8; range 1-46), with a mean duration per session of 5.8 (median 1.1; range 0-81.1) minutes. Overall, three-fourths (18/24, 75%) of the participants entered the Inner Dragon game at least once and had a mean of 2.4 (SD 2.4) sessions of game use. The use of Inner Dragon was positively associated with the total number of app sessions (correlation 0.57). The mean satisfaction score of participants who provided ratings (11/24, 46%) was 4.2 (SD 0.6) on a 5-point scale; however, satisfaction ratings for Inner Dragon were only completed by 13% (3/24) of the participants. CONCLUSIONS: Findings supported further development and evaluation of Inner Dragon as a beneficial feature of Smoke Free. The next step of this study is to conduct a randomized pilot trial to determine whether the gamified version of the app increases user engagement over a standard version of the app.

Identifying Video Game Preferences Among Adults Interested in Quitting Smoking Cigarettes: Survey Study.

BACKGROUND: Smoking is the most prevalent cause of morbidity and mortality in the United States. Although most individuals who smoke express a desire to quit smoking, only a small percentage are successful. Serious games have become popular in health sectors as a potential avenue for delivering a scalable treatment that is both accessible and engaging for the smoking population. Several smoking cessation games have already been developed, but these games feature a broad range of gameplay elements and are not necessarily based on existing video game preferences in the general or smoking population. OBJECTIVE: To better inform treatment development, this study aims to evaluate video game genre preferences among treatment-seeking individuals who smoke (N=473). METHODS: Participants responded to a screening survey to enroll in a larger, serious game intervention for smoking cessation. During this screening survey, participants were asked to disclose their favorite video games, which resulted in 277 unique game titles. These titles were coded for genre categories based on publisher listings and game features. The genres were then analyzed for the frequency of reporting overall and across age groups. RESULTS: Action, Role-Playing, and Action-Adventure were the most reported genres among adults aged ≤34 years; Action, Action-Adventure, and Logic were the most reported genres among adults aged 35-44 years; and Logic and Action were the most reported genres among adults aged ≥45 years. CONCLUSIONS: These data indicate that treatment-seeking individuals who smoke have different game preferences across age groups, and the data provide novel information to inform the development of future serious games targeting the smoking population that are tailored to the preferences of their age group. TRIAL REGISTRATION: ClinicalTrials.gov NCT03929003; https://clinicaltrials.gov/ct2/show/NCT03929003.

Stepping Up: An Evaluation of Social Comparison of Physical Activity During Fitbit Challenges.

The current set of within-subject, single-case design studies examined how exposure to social comparison information may impact physical activity in sedentary individuals. In Study 1, participants (N = 6) were exposed to two Fitbit challenges, one with a physically active confederate and another with a sedentary confederate. Each challenge phase lasted 7 days, during which participants were able to compare their daily steps to the assigned confederate on a ranked leaderboard, received notifications if their cumulative steps were surpassed by the confederate, and a notification indicating if they won at the conclusion of each challenge (i.e., active confederate in challenge one then sedentary confederate in challenge two, or vice versa). Study 2 replicated the procedures used in Study 1 but controlled for the distance between confederate and participant daily steps (N = 4). In Study 3, participants (N = 4) were exposed to the same confederate twice to evaluate potential order effects. Results showed that physical activity increased for most participants, but the direction and magnitude of effects differed across participants, challenge type, and order of confederate exposure. The factors producing differential responding to the Fitbit challenges, and the implications for future research on the effects of competition and social comparison on behavior, are discussed.

Using the novel functional purchase task to examine prescription stimulant drug effect preferences in college students.

Nonmedical prescription stimulant use (NMPSU) is a rising trend among college-age adults (18-25 years old). Survey research has identified several reasons for use, including enhancing cognitive, athletic, and social performance. Less is known about how relative reinforcing value differs based on the self-reported reasons for use. The commodity purchase task (CPT) is used to assess demand for substances such as alcohol and cigarettes and has been extended for NMPSU among college student users. However, this work has not been replicated for NMPSU or expanded to determine how reason for use affects drug demand. The aim of this study was to develop a novel functional purchase task (FPT) to measure demand for preferred stimulant-like drug effects (e.g., focus, academic achievement, energy). Undergraduate students (n = 116) recruited from two universities who endorsed lifetime NMPSU completed five hypothetical stimulant purchase tasks, one for stimulant medication and four based on their ordinal ranking of eight possible reasons for stimulant use. Results support using a CPT to measure the reinforcing value of prescription stimulants and found demand predicts past year NMPSU, but not other variables associated with use. Furthermore, there are multiple reinforcing functions of NMPSU among college students, and more preferred reasons for use corresponded with higher demand intensity and inelasticity on the FPT at the aggregate level but less so at the individual participant level. These results suggest the need for further work exploring the utility of a functional approach to measure demand as reinforcing value. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The feasibility, acceptability, and initial efficacy of a remotely delivered, financial-incentive intervention to initiate vaping abstinence in young adults.

Electronic cigarette use (i.e., vaping) has become increasingly popular, especially among youth. Although vaping nicotine is thought to be safer than smoking combustible cigarettes, vaping cessation has become a topic of interest because of health concerns and the potential risk of electronic cigarette use leading to the use of other substances. The current study is the first to explore the feasibility, acceptability, and preliminary efficacy of a remotely delivered intervention using financial incentives to reinforce vaping abstinence among young adults. A secondary purpose of the study was to compare two cotinine measures, NicAlert and Alere iScreen, for remotely monitoring vaping abstinence. Using a single-case design, college students (N = 8) were given NicAlert and iScreen saliva cotinine tests to verify vaping abstinence. During a baseline condition, financial incentives were delivered contingent on submitting cotinine samples during live telemedicine calls (across varying baseline durations, consistent with multiple-baseline designs), whereas during an abstinence condition, escalating financial bonuses were delivered contingent on negative cotinine samples only. All participants attended 100% of their scheduled telemedicine calls and all participants quit vaping nicotine during the 2-week intervention, following the introduction of abstinence-contingent bonuses. Participants also rated the intervention favorably on a number of dimensions. Participants liked the iScreen cotinine tests, and found them easier to use, than NicAlert. Future research should focus on exploring strategies for promoting long-term sustainability of incentive-based interventions for vaping abstinence. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Beliefs related to health care incentives: Comparison of substance use disorder treatment providers, medical treatment providers, and a public sample.

This study surveyed substance use disorder (SUD) treatment providers, medical treatment providers, and a public sample about beliefs regarding health care incentives to explore differences among the groups and across health disorders for which research has demonstrated incentives improve outcomes. Six hundred participants (n = 200/group) completed the Provider Survey of Incentives. The study found between group differences for positive and negative beliefs. The public sample was highest on the positive beliefs subscale (M = 3.81), followed by SUD (M = 3.63) and medical treatment providers (M = 3.48; F(2, 597) = 20.09, p < .001). The medical treatment providers were highest on the negative beliefs subscale (M = 2.91), compared to the public sample (M = 2.77) and SUD treatment providers (M = 2.65; F(2, 597) = 7.521, p < .001). Endorsement of incentives to treat medical disorders was similar across the groups, with obesity the most endorsed disorder. In contrast, endorsement of incentives to treat SUDs differed across groups, except for smoking. The SUD treatment providers were almost twice as likely as the public sample (OR = 1.81, 95% CI = 1.27-2.59) and the public sample almost twice as likely as the medical treatment providers (OR = 1.74, 95% CI = 1.24-2.47) to endorse the use of incentives to treat more SUDs. Medical treatment providers were also the least likely to endorse incentives to treat both legal and illicit substance use. These findings suggest that incentive programs have good acceptability among SUD treatment providers and the public, but medical treatment providers are less accepting of incentive programs. This study provides evidence that incentive-based interventions are acceptable to the public and is the first to document specific objections that individuals disseminating incentive interventions will most likely face when introducing them in medical settings.

Behavior-Analytic Approaches to the Management of Diabetes Mellitus: Current Status and Future Directions.

Diabetes mellitus is the seventh leading cause of death in the United States, requiring a series of complex behavior changes that must be sustained for a lifetime (e.g., counting carbohydrates, self-monitoring blood glucose, adjusting insulin). Although complex, all of these tasks involve behavior, making them amenable targets for behavior analysts. In this article, the authors describe interventions that have focused on antecedent, consequent, multicomponent, and alternate procedures for the management of diabetes, highlighting ways in which technology has been used to overcome common barriers to the use of these intensive, evidence-based interventions. Additional variables relevant to poorly managed diabetes (e.g., delay discounting) are also discussed. Future research and practice should focus on harnessing continued advances in information technology while also considering underexplored behavioral technologies for the effective treatment of diabetes, with a focus on identifying sustainable, long-term solutions for maintaining proper diabetes management. Practical implementation of these interventions will depend on having qualified behavior analysts working in integrated primary care settings where the interventions are most likely to be used, which will require interdisciplinary training and collaboration.

Technology-Based Contingency Management in the Treatment of Substance-Use Disorders.

Contingency management is one of the most efficacious interventions to promote drug abstinence. Contingency management has traditionally been delivered in person so that clinicians could confirm drug abstinence and provide access to additional therapeutic services. Now, new technologies not only permit remote confirmation of abstinence, but also remote delivery of incentives. We discuss several technology-based tools to assess substance use, and new ways to deliver contingency management to promote tobacco, alcohol, and cannabis abstinence. These new tools have the potential to dramatically increase access while maintaining high levels of treatment fidelity. Technology-based methods also allow arranging group contingencies that harness online communities, and they permit targeting multiple health-risk behaviors with a combination of sensor-based technologies. Overall, there are unprecedented opportunities to link technology with contingency management to promote drug abstinence.

A Mobile Game to Support Smoking Cessation: Prototype Assessment.

BACKGROUND: Cigarette smoking results in an estimated seven million deaths annually. Almost half of all smokers attempt to quit each year, yet only approximately 6% are successful. Although there are multiple effective interventions that can increase these odds, substantial room remains for improvement. One effective approach to helping smokers quit is contingency management, where quitting is incentivized with the delivery of monetary rewards in exchange for objective evidence (eg, exhaled carbon monoxide levels) of abstinence. OBJECTIVE: We assessed the feasibility and promise of Inspired, a contingency management mobile app for smoking cessation that uses game-based rewards to incentivize abstinence from smoking instead of the monetary (or material) rewards typically used. We sought participant feedback and limited objective data on: the features and design of Inspired, interest in using Inspired when it becomes available, the likelihood of Inspired being an effective cessation aid, and the rank order preference of Inspired relative to other familiar smoking cessation aids. METHODS: Twenty-eight treatment-seeking smokers participated in this study. Participants attended a single one-hour session in which they received an overview of the goals of the Inspired mobile game, practiced submitting breath carbon monoxide (CO) samples, and played representative levels of the game. Participants were then told that they could play an extra level, or they could stop, complete an outcome survey, receive payment, and be dismissed. A sign-up sheet requesting personal contact information was available for those who wished to be notified when the full version of Inspired becomes available. RESULTS: Using binary criteria for endorsement, participants indicated that, assuming it was currently available and fully developed, they would be more likely to use Inspired than: any other smoking cessation aid (21/28, 75%), the nicotine patch (23/28, 82%), a drug designed to reduce smoking cravings (23/28, 82%), or a program involving attendance in training sessions or support group meetings (27/28, 96%). In the questionnaire, participants indicated that both the Inspired program (26/28, 93%) and the Inspired game would be "Fun" (28/28, 100%), and 71% (20/28) reported that the program would help them personally quit smoking. Fifty-eight percent of participants (15/26) chose to continue playing the game rather than immediately collecting payment for participation and leaving. Eighty-two percent of participants (23/28) signed up to be notified when the full version of Inspired becomes available. CONCLUSIONS: This was the first study to evaluate a game-based contingency management app that uses game-based virtual goods as rewards for smoking abstinence. The outcomes suggest that the completed app has potential to be an effective smoking cessation aid that would be widely adopted by smokers wishing to quit.

Nationwide access to an internet-based contingency management intervention to promote smoking cessation: a randomized controlled trial.

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.

Text-message reminders plus incentives increase adherence to antidiabetic medication in adults with type 2 diabetes.

Some adults with Type 2 diabetes mellitus have difficulty adhering to their oral medication regimens. The current study used a multiple baseline design with 3 adults with Type 2 diabetes. Medication taking was monitored remotely in real time via an electronic pill bottle. During the intervention, monetary incentives were delivered contingent on evidence of adherence to taking medication at specified times. Text-message reminders were also sent if medication was not taken. Adherence increased for all participants. Future studies should separate the relative contributions of text-message and incentive components of the intervention.

Internet-based incentives increase blood glucose testing with a non-adherent, diverse sample of teens with type 1 diabetes mellitus: a randomized controlled Trial.

Non-adherence with self-monitoring blood glucose (SMBG) among teenagers with type 1 diabetes can be a problem. The purpose of this study was to investigate the feasibility, acceptability, and preliminary efficacy of using Internet-based incentives to improve adherence with SMBG in non-adherent teenagers. Participants were randomly assigned to contingent (CS; N = 23), where they had to meet web camera-verified SMBG goals to earn incentives, or non-contingent (NS) groups (N = 18), where they earned incentives independent of adherence. Brief motivational interviewing (MI) was given prior to the intervention. Attrition was 15 % in the CS group. Participants and parents endorsed the intervention on all intervention dimensions. Daily SMBG increased after one MI session, and further increased when incentives were added, but significantly more for so for older participants. SMBG declined slowly over time, but only returned to baseline levels for younger NS participants. Internet-based incentive interventions are feasible, acceptable, and show promise for improving adherence with SMBG.

Smoking Abstinence-Induced Changes in Resting State Functional Connectivity with Ventral Striatum Predict Lapse During a Quit Attempt.

The ventral and dorsal striatum are critical substrates of reward processing and motivation and have been repeatedly linked to addictive disorders, including nicotine dependence. However, little is known about how functional connectivity between these and other brain regions is modulated by smoking withdrawal and may contribute to relapse vulnerability. In the present study, 37 smokers completed resting state fMRI scans during both satiated and 24-h abstinent conditions, prior to engaging in a 3-week quit attempt supported by contingency management. We examined the effects of abstinence condition and smoking outcome (lapse vs non-lapse) on whole-brain connectivity with ventral and dorsal striatum seed regions. Results indicated a significant condition by lapse outcome interaction for both right and left ventral striatum seeds. Robust abstinence-induced increases in connectivity with bilateral ventral striatum were observed across a network of regions implicated in addictive disorders, including insula, superior temporal gyrus, and anterior/mid-cingulate cortex among non-lapsers; the opposite pattern was observed for those who later lapsed. For dorsal striatum seeds, 24-h abstinence decreased connectivity across both groups with several regions, including medial prefrontal cortex, posterior cingulate cortex, hippocampus, and supplemental motor area. These findings suggest that modulation of striatal connectivity with the cingulo-insular network during early withdrawal may be associated with smoking cessation outcomes.

Illustrating idiographic methods for translation research: moderation effects, natural clinical experiments, and complex treatment-by-subgroup interactions.

A critical juncture in translation research involves the preliminary studies of intervention tools, provider training programs, policies, and other mechanisms used to leverage knowledge garnered at one translation stage into another stage. Potentially useful for such studies are rigorous techniques for conducting within-subject clinical trials, which have advanced incrementally over the last decade. However, these methods have largely not been utilized within prevention or translation contexts. The purpose of this manuscript is to demonstrate the flexibility, wide applicability, and rigor of idiographic clinical trials for preliminary testing of intervention mechanisms. Specifically demonstrated are novel uses of state-space modeling for testing intervention mechanisms of short-term outcomes, identifying heterogeneity in and moderation of within-person treatment mechanisms, a horizontal line plot to refine sampling design during the course of a clinic-based experimental study, and the need to test a treatment's efficacy as treatment is administered along with (e.g., traditional 12-month outcomes).

Blunted striatal response to monetary reward anticipation during smoking abstinence predicts lapse during a contingency-managed quit attempt.

RATIONALE: Tobacco smoking is associated with dysregulated reward processing within the striatum, characterized by hypersensitivity to smoking rewards and hyposensitivity to non-smoking rewards. This bias toward smoking reward at the expense of alternative rewards is further exacerbated by deprivation from smoking, which may contribute to difficulty maintaining abstinence during a quit attempt. OBJECTIVE: We examined whether abstinence-induced changes in striatal processing of rewards predicted lapse likelihood during a quit attempt supported by contingency management (CM), in which abstinence from smoking was reinforced with money. METHODS: Thirty-six non-treatment-seeking smokers participated in two functional MRI (fMRI) sessions, one following 24-h abstinence and one following smoking as usual. During each scan, participants completed a rewarded guessing task designed to elicit striatal activation in which they could earn smoking and monetary rewards delivered after the scan. Participants then engaged in a 3-week CM-supported quit attempt. RESULTS: As previously reported, 24-h abstinence was associated with increased striatal activation in anticipation of smoking reward and decreased activation in anticipation of monetary reward. Individuals exhibiting greater decrements in right striatal activation to monetary reward during abstinence (controlling for activation during non-abstinence) were more likely to lapse during CM (p < 0.025), even when controlling for other predictors of lapse outcome (e.g., craving); no association was seen for smoking reward. CONCLUSIONS: These results are consistent with a growing number of studies indicating the specific importance of disrupted striatal processing of non-drug reward in nicotine dependence and highlight the importance of individual differences in abstinence-induced deficits in striatal function for smoking cessation.

Optimizing behavioral health interventions with single-case designs: from development to dissemination.

Over the past 70 years, single-case design (SCD) research has evolved to include a broad array of methodological and analytic advances. In this article, we describe some of these advances and discuss how SCDs can be used to optimize behavioral health interventions. Specifically, we discuss how parametric analysis, component analysis, and systematic replications can be used to optimize interventions. We also describe how SCDs can address other features of optimization, which include establishing generality and enabling personalized behavioral medicine. Throughout, we highlight how SCDs can be used during both the development and dissemination stages of behavioral health interventions.

The ABCs of incentive-based treatment in health care: a behavior analytic framework to inform research and practice.

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.

Laboratory Validation of Inertial Body Sensors to Detect Cigarette Smoking Arm Movements.

Cigarette smoking remains the leading cause of preventable death in the United States. Traditional in-clinic cessation interventions may fail to intervene and interrupt the rapid progression to relapse that typically occurs following a quit attempt. The ability to detect actual smoking behavior in real-time is a measurement challenge for health behavior research and intervention. The successful detection of real-time smoking through mobile health (mHealth) methodology has substantial implications for developing highly efficacious treatment interventions. The current study was aimed at further developing and testing the ability of inertial sensors to detect cigarette smoking arm movements among smokers. The current study involved four smokers who smoked six cigarettes each in a laboratory-based assessment. Participants were outfitted with four inertial body movement sensors on the arms, which were used to detect smoking events at two levels: the puff level and the cigarette level. Two different algorithms (Support Vector Machines (SVM) and Edge-Detection based learning) were trained to detect the features of arm movement sequences transmitted by the sensors that corresponded with each level. The results showed that performance of the SVM algorithm at the cigarette level exceeded detection at the individual puff level, with low rates of false positive puff detection. The current study is the second in a line of programmatic research demonstrating the proof-of-concept for sensor-based tracking of smoking, based on movements of the arm and wrist. This study demonstrates efficacy in a real-world clinical inpatient setting and is the first to provide a detection rate against direct observation, enabling calculation of true and false positive rates. The study results indicate that the approach performs very well with some participants, whereas some challenges remain with participants who generate more frequent non-smoking movements near the face. Future work may allow for tracking smoking in real-world environments, which would facilitate developing more effective, just-in-time smoking cessation interventions.

Internet-based contingency management to promote smoking cessation: a randomized controlled study.

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.