Gamification to Motivate the Unmotivated Smoker: The "Take a Break" Digital Health Intervention

Patient motivation as a predictor of digital health intervention effects: A meta-epidemiological study of cancer trials

The objective of this meta-epidemiological study was to develop a rating that captures participants' motivation at the study level in digital health intervention (DHI) randomised controlled trials (RCTs). The rating was used to investigate whether participants' motivation is associated with the effect estimates in DHI RCTs for cancer patients. The development of the rating was based on a bottom-up approach involving the collection of information that captures participants' baseline motivation in empirical studies from the Smartphone-RCCT Database. We specified three indicators for rating: indicator 1 captures whether the study team actively selects or enhances the motivation of the potential study participants; indicator 2 captures the study participants' active engagement before the treatment allocation; and indicator 3 captures the potential bond and trust between the study participants and the person/institution referring to the study. The rating of each indicator and the overall rating varies between high motivation, moderate motivation, and low motivation. We applied the rating across 27 DHI RCTs with cancer patients. We performed meta-regression analysis to examine the effect of patient motivation on quality of life (QoL), psychological outcomes, and attrition. The intraclass correlation coefficient (ICC) indicated moderate to poor inter-rater reliability. The meta-regression showed that cancer patients' overall motivation before engaging in the intervention was associated with the treatment effect of QoL. Patient motivation was not found to be associated with psychological outcomes or attrition. Subgroup analyses revealed that the clinical effects of DHIs were more prevalent in the high-motivation subgroups, whereas the low-motivation subgroups were unlikely to show intervention benefits. The likelihood of dropouts from DHIs seems to be especially high among the low-bond (indicator 3) subgroup. We suggest using single indicators since they reflect specific content. Better reporting about baseline motivation is required to enable meaningful interpretations in not only primary studies but also in evidence syntheses.

Pilot trial of QuitBet: A digital social game that pays you to stop smoking

Contingency management is an effective treatment for cigarette smoking cessation but feasibility and acceptability concerns have been barriers to implementation. We conducted a pilot test of QuitBet, a commercial, digital (smartphone) social game for smoking cessation during which participants earned financial incentives for abstinence. QuitBet included a social feed for posting messages and entirely participant-funded incentives in the form of a deposit contract (the "bet"). QuitBet had a bet of $30 and lasted for 28 days. After a week to prepare for quitting, the quit day was Day 8. Between Day 9-28 (a 20-day period), participants earned back $1 of their $30 bet for each day of carbon monoxide (CO)-verified abstinence (≤ 6 ppm). Remaining bet money was pooled into a "grand prize" pot. Participants who were abstinent on at least 19 of the 20 days (1 "lapse" day allowed) were declared "winners" and split the grand prize pot equally. A game host posted a daily message containing evidence-based education about smoking cessation or a discussion topic. Recruitment goals were met. Among the players (N = 50 U.S. adults, 78% female), 17 (34%) were winners. Thirty-seven participants (74%) responded to a post-QuitBet survey, of whom 95% said they would be interested in playing another QuitBet and would recommend QuitBet to others. Overall, feedback was positive with some suggestions for improvement. In conclusion, a digital social game for smoking cessation with a deposit contract was feasible and acceptable. Next steps include conducting a randomized trial to establish efficacy and a sustainable business model. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review

Background

Mobile health (mHealth) apps show vast potential in supporting patients and health care systems with the increasing prevalence and economic costs of noncommunicable diseases (NCDs) worldwide. However, despite the availability of evidence-based mHealth apps, a substantial proportion of users do not adhere to them as intended and may consequently not receive treatment. Therefore, understanding the factors that act as barriers to or facilitators of adherence is a fundamental concern in preventing intervention dropouts and increasing the effectiveness of digital health interventions.

Objective

This review aimed to help stakeholders develop more effective digital health interventions by identifying factors influencing the continued use of mHealth apps targeting NCDs. We further derived quantified adherence scores for various health domains to validate the qualitative findings and explore adherence benchmarks.

Methods

A comprehensive systematic literature search (January 2007 to December 2020) was conducted on MEDLINE, Embase, Web of Science, Scopus, and ACM Digital Library. Data on intended use, actual use, and factors influencing adherence were extracted. Intervention-related and patient-related factors with a positive or negative influence on adherence are presented separately for the health domains of NCD self-management, mental health, substance use, nutrition, physical activity, weight loss, multicomponent lifestyle interventions, mindfulness, and other NCDs. Quantified adherence measures, calculated as the ratio between the estimated intended use and actual use, were derived for each study and compared with the qualitative findings.

Results

The literature search yielded 2862 potentially relevant articles, of which 99 (3.46%) were included as part of the inclusion criteria. A total of 4 intervention-related factors indicated positive effects on adherence across all health domains: personalization or tailoring of the content of mHealth apps to the individual needs of the user, reminders in the form of individualized push notifications, user-friendly and technically stable app design, and personal support complementary to the digital intervention. Social and gamification features were also identified as drivers of app adherence across several health domains. A wide variety of patient-related factors such as user characteristics or recruitment channels further affects adherence. The derived adherence scores of the included mHealth apps averaged 56.0% (SD 24.4%).

Conclusions

This study contributes to the scarce scientific evidence on factors that positively or negatively influence adherence to mHealth apps and is the first to quantitatively compare adherence relative to the intended use of various health domains. As underlying studies mostly have a pilot character with short study durations, research on factors influencing adherence to mHealth apps is still limited. To facilitate future research on mHealth app adherence, researchers should clearly outline and justify the app’s intended use; report objective data on actual use relative to the intended use; and, ideally, provide long-term use and retention data.

Effect of Technology-Assisted Brief Abstinence Game on Long-term Smoking Cessation in Individuals Not Yet Ready to Quit: A Randomized Clinical Trial

IMPORTANCE

Most trials of behavioral or pharmaceutical interventions for people who smoke are limited to individuals reporting they are ready to quit smoking. Engaging individuals who initially report they are not yet ready to quit in brief, precessation, skills-building interventions (eg, practice quit attempts or nicotine replacement therapy [NRT] sampling) is challenging.

OBJECTIVE

To test an integrated behavioral plus NRT-sampling intervention using a gamification approach supported by mobile health.

DESIGN, SETTING, AND PARTICIPANTS

A multisite randomized clinical trial with site-level 1-to-1 allocation into 2 conditions was conducted in 4 US health care systems. A total of 433 individuals who were currently smoking and reported at enrollment that they were not ready to quit smoking were enrolled. The study was conducted from November 7, 2016, to July 31, 2020.

INTERVENTIONS

Take a Break (TAB) was a 3-week game experience and included 5 behavioral components (motivational messaging, challenge quizzes, brief abstinence goal setting, mobile health apps for cravings management, and reward points for participation) integrated with NRT sampling. TAB draws on social cognitive theory and game mechanics concepts to engage participants in health behavior change. The comparison included NRT sampling only.

MAIN OUTCOMES AND MEASURES

Time to first quit attempt (duration from TAB experience to primary outcome) and carbon monoxide level-verified smoking cessation at 6-month follow-up. All analyses used an intention-to-treat approach.

RESULTS

Of the 433 individuals included in the trial, 223 were women (52%); mean (SD) age was 54 (13) years. More than half (53% [112 of 213]) of the TAB participants completed 100% of the daily challenge quizzes in the first week, 73% (145 of 199) of participants who completed the goal-setting call set a brief abstinence goal (most frequently 1-2 days of abstinence from cigarettes), and 75% (159 of 213) of participants used the mobile health apps to manage nicotine cravings. Time to the first quit attempt was lower for the TAB vs comparison group (hazard ratio, 1.68; 95% CI, 1.09-2.60; P = .02). At the 6-month follow-up, 18% (28 of 160) of TAB participants and 10% (17 of 171) of the comparison (χ2 test, P = .045) participants obtained carbon monoxide level-verified smoking cessation (accounting for clustering of outcomes by site; odds ratio, 1.92; 95% CI, 1.01-3.68; P = .048).

CONCLUSIONS AND RELEVANCE

The findings of this randomized clinical trial demonstrate that individuals not yet ready to quit smoking could be engaged in a brief abstinence game. Six months later, the TAB group had nearly double the rate of smoking cessation vs the NRT sampling comparison group. Integrating a skills-building game experience with brief NRT sampling can enhance long-term cessation among those not yet ready to quit smoking.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02973425.

Practice Quit Attempts: Scoping Review of a Novel Intervention Strategy

OBJECTIVE

Fostering practice quit attempts (PQAs)--that is, attempts to not smoke for a few hours or days, without pressure to permanently quit--represents a potential means to engage more individuals who smoke in efforts to change their smoking. However, little is known about interventions designed to foster PQAs. We aimed to identify the available evidence on PQA-focused intervention strategies and their impact on quit attempt and cessation outcomes.

METHOD

We conducted a scoping review of behavioral and pharmacological treatment studies targeting PQAs among adult cigarette smokers.

RESULTS

The systematic literature search yielded 3,879 articles, and the full-text review was narrowed to 86. Twenty-three studies were deemed relevant, and 5 were added through other sources, yielding 28 studies total. Fifteen studies included behavioral intervention techniques focused on the development and rehearsal of individualized coping skills, whereas eight studies provided brief advice/instruction. More than half of the PQA-focused interventions incorporated sampling of nicotine replacement products, through either guided or ad lib use. Five studies reported on PQA-focused digital health interventions that prompted brief abstinence challenges. Of eight large-scale controlled trials, six demonstrated an increase in quit attempt and cessation outcomes among the PQA-focused intervention group.

CONCLUSIONS

Fostering PQAs through behavioral and pharmacological interventions offers a promising technique for cessation induction that warrants future research.

Design of a Digital Game Intervention to Promote Socio-Emotional Skills and Prosocial Behavior in Children

In emergency contexts such as the COVID-19 pandemic, mental health risk factors affect children and may affect behavioral and emotional problems including anxiety, self-blame, emotional disturbance, and stress. Preventive measures are crucial to address these health risks. Research highlights strength-based factors, such as socio-emotional skills and prosocial behaviors, as important for childhood development and socio-emotional wellbeing. Yet, the initial evidence base shows mixed effectiveness and insufficient behavior change theory application into socio-emotional and prosocial digital game interventions. Additionally, few interventions are designed with a clear process to convert theory into practical game solutions and very limited guidance on the digital game development process exists. This study describes the Intervention Mapping Protocol (IMP) and theory application in the design of a digital game intervention which aims to strengthen social-emotional skills development and promote prosocial behavior in 8–11-year-old children. The method systematically describes the steps of the IMP process in detail to guide future theory-based game design. The results explain the final digital game prototype that was co-designed with continuous input and insights provided by stakeholders and feedback from children. This paper contributes to our understanding of theory application in the design of digital game interventions focused on health and behavior change and provides much needed guidance on how theory and stakeholder input can be incorporated into a final game design.

Gamification for the Improvement of Diet, Nutritional Habits, and Body Composition in Children and Adolescents: A Systematic Review and Meta-Analysis

Currently, one of the main public health problems among children and adolescents is poor adherence to healthy habits, leading to increasingly high rates of obesity and the comorbidities that accompany obesity. Early interventions are necessary, and among them, the use of gamification can be an effective method. The objective was to analyse the effect of game-based interventions (gamification) for improving nutritional habits, knowledge, and changes in body composition. A systematic review and meta-analysis were performed in CINAHL, EMBASE, LILACS, MEDLINE, SciELO, and Scopus databases, following the PRISMA recommendations. There was no restriction by year of publication or language. Only randomized controlled trials were included. Twenty-three articles were found. After the intervention, the consumption of fruit and vegetables increased, as well as the knowledge on healthy food groups. The means difference showed a higher nutritional knowledge score in the intervention group 95% CI 0.88 (0.05–1.75). No significant effect of gamification was found for body mass index z-score. Gamification could be an effective method to improve nutritional knowledge about healthier nutritional habits. Promoting the development of effective educational tools to support learning related to nutrition is necessary in order to avoid and prevent chronic diseases.

The development of laparoscopic skills using virtual reality simulations: A systematic review

Background

Teaching based on virtual reality simulators in medicine has expanded in recent years due to the limitations of more traditional methods, especially for surgical procedures such as laparoscopy.

Purpose of review

To analyze the effects of using virtual reality simulations on the development of laparoscopic skills in medical students and physicians.

Data sources

The literature screening was done in April 2020 through Medline (PubMed), EMBASE and Database of the National Institute of Health.

Eligibility criteria

Randomized clinical trials that subjected medical students and physicians to training in laparoscopic skills in virtual reality simulators.

Study appraisal

Paired reviewers independently identified 1529 articles and included 7 trials that met the eligibility criteria.

Findings

In all studies, participants that trained in virtual simulators showed improvements in laparoscopic skills, although the articles that also had a physical model training group did not show better performance of one model compared to the other.

Limitations

No article beyond 2015 met the eligibility criteria, and the analyzed simulators have different versions and models, which might impact the results.

Conclusion

Virtual reality simulators are useful educational tools, but do not show proven significant advantages over traditional models. The lack of standardization and a scarcity of articles makes comparative analysis between simulators difficult, requiring more research in the area, according to the model suggested in this review.

Systematic review registration number

Registered by the Prospective Register of Systematic Reviews (PROSPERO), identification code CRD42020176479.

The 'Take a Break' game: Randomized trial protocol for a technology-assisted brief abstinence experience designed to engage lower-motivated smokers

BACKGROUND

While smoking continues to be the most preventable cause of mortality in the United States, most current smokers remain not ready to quit at any given time. Engaging these 'motivation phase' smokers with brief experiences to build confidence and practice skills related to cessation could lead to sooner and more successful quit attempts. Increasingly available mobile technology and gamification can be used to provide smokers with accessible and engaging support.

METHODS

We describe our protocol for conducting a randomized controlled trial evaluating Take a Break, an mHealth-based smoking pre-cessation challenge designed for smokers not ready to quit. Participants in the intervention receive 1) Motivational Messages, 2) text message Challenge Quizzes, 3) Goal-setting with tobacco treatment specialist, 4) Coping Mini-Games apps, and 5) Recognition and Rewards for participation during a 3-week challenge. Access to coping mini-games and motivational messaging continues for 6-months. Both intervention and comparison group participants receive brief Nicotine Replacement Therapy (NRT) sampling and daily smoking assessment text messages for three weeks. Primary outcomes include number of days abstinent during the challenge, change in patient-reported self-efficacy after the challenge, time to first quit attempt following the challenge, and 7-day point prevalent smoking cessation at six months.

CONCLUSION

Take a Break is an innovative approach to engage those not prepared for a quit attempt. Take a Break provides motivation phase smokers with tools and a brief experience to prepare them for a quit attempt, filling a gap in tobacco cessation support and current research.