Behavioral economics implementation: Regret lottery improves mHealth patient study adherence

Protocol for randomized personalized trial for stress management compared to standard of care

Stress is a significant public health burden in the United States, with most Americans reporting unhealthy levels of stress. Stress management techniques include various evidence-based treatments shown to be effective but with heterogeneous treatment responses, indicating a lack of uniform benefits for all individuals. Designed to assess a participant's response to a specific intervention, personalized (N-of-1) trials provide guidance for which treatment (s) work (s) best for the individual. Prior studies examining the effects of mindfulness meditation, yoga, and walking for stress reduction found all three interventions to be associated with significant reductions in self-reported measures of stress. Delivering these treatments using a personalized trial approach has the potential to assist clinicians in identifying the best stress management techniques for individuals with persistently high stress while fostering treatment decisions that consider their personal condition/barriers. This trial will evaluate a personalized approach compared to standard of care for three interventions (guided mindfulness meditation; guided yoga; and guided brisk walking) to manage perceived stress. Participants will respond to daily surveys and wear a Fitbit device for 18 weeks. After a 2-week baseline period, participants in the personalized trial groups will receive 12 weeks of interventions in randomized order, while participants in the standard-of-care group will have access to all interventions for self-directed stress management. After intervention, all participants will undergo 2 weeks of observation, followed by two additional weeks of the stress management intervention of their choosing while continuing outcome measurement. At study completion, all participants will be sent a satisfaction survey. The primary analysis will compare perceived stress levels between the personalized and standard of care arms. The results of this trial will provide further support for the use of personalized designs for managing stress. Clinical Trial Registration: clinicaltrials.gov, NCT05408832. Protocol version: 9/14/2022, 21-0968-MRB.

Qualitative analysis of a remote monitoring intervention for managing heart failure

BACKGROUND

Heart failure (HF) is one of the most common reasons for hospital admission and is a major cause of morbidity, mortality, and increasing health care costs. The EMPOWER study was a randomized trial that used remote monitoring technology to track patients' weight and diuretic adherence and a state-of-the-art approach derived from behavioral economics to motivate adherence to the reverse monitoring technology.

OBJECTIVE

The goal was to explore patient and clinician perceptions of the program and its impact on perceived health outcomes and better understand why some patients or clinicians did better or worse than others in response to the intervention.

APPROACH

This was a retrospective qualitative study utilizing semi-structured interviews with 43 patients and 16 clinicians to understand the trial's processes, reflecting on successes and areas for improvement for future iterations of behavioral economic interventions.

KEY RESULTS

Many patients felt supported, and they appreciated the intervention. Many also appreciated the lottery intervention, and while it was not an incentive for enrolling for many respondents, it may have increased adherence during the study. Clinicians felt that the intervention integrated well into their workflow, but the number of alerts was burdensome. Additionally, responses to alerts varied considerably by provider, perhaps because there are no professional guidelines for alerts unaccompanied by severe symptoms.

CONCLUSION

Our qualitative analysis indicates potential areas for additional exploration and consideration to design better behavioral economic interventions to improve cardiovascular health outcomes for patients with HF. Patients appreciated lottery incentives for adhering to program requirements; however, many were too far along in their disease progression to benefit from the intervention. Clinicians found the amount and frequency of electronic alerts burdensome and felt they did not improve patient outcomes.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02708654.

Behavioral Economic Strategies to Improve Enrollment Rates in Clinical Research: Embedded Recruitment Pilot Trial

BACKGROUND

Nearly 1 in 3 clinical trials end prematurely due to underenrollment. Strategies to enhance recruitment are often implemented without scientific rigor to evaluate efficacy. Evidence-based, cost-effective behavioral economic strategies designed to influence decision-making may be useful to promote clinical trial enrollment.

OBJECTIVE

This study evaluated 2 behavioral economic strategies to improve enrollment and retention rates across 4 clinical trials: information provision (IP) and contingency management (CM; ie, lottery). IP targets descriptive and injunctive norms about participating in research and CM provides participants incentives to reinforce a target behavior.

METHODS

A sample of 212 participants was enrolled across 4 clinical trials focused on tobacco use: 2 focused on HIV and 2 focused on neuroimaging. The CM condition included a lottery: for each study visit completed, participants received 5 "draws" from a bowl containing 500 "chips" valued at US $0, US $1, US $5, or US $100. In the IP condition, text messages that targeted injunctive norms about research (eg, "Many find it a rewarding way to advance science and be part of a community") were sent through the Way to Health platform before all study visits. Participants were randomized to 1 of 4 conditions: IP, CM, IP+CM, or standard recruitment (SR). We performed logistic regression, controlling for sex and study, with condition as a between-subject predictor. Outcomes were the percentage of participants who attended a final eligibility visit (primary), met intent-to-treat (ITT) criteria (secondary), and completed the study (secondary). Recruitment was evaluated by the percentage of participants who attended a final eligibility visit, enrollment by ITT status, and retention by the percentage of participants who completed the study.

RESULTS

Rates of attending the eligibility visit and meeting ITT status were 58.9% (33/56) and 33.9% (19/56) for IP+CM; 45.5% (25/55) and 18.2% (10/55) for IP only; 41.5% (22/53) and 18.9% (10/53) for CM only; and 37.5% (18/48) and 12.5% (6/48) for SR, respectively. In the logistic regression, females were more likely to meet ITT status than males (odds ratio [OR] 2.7, 95% CI 1.2-5.7; P=.01). The IP+CM group was twice as likely to attend the final eligibility visit than the SR group (OR 2.4, 95% CI 1.1-5.2; P=.04). The IP+CM group was also significantly more likely to reach ITT status than the SR condition (OR 3.9, 95% CI 1.3-11.1; P=.01). Those who received any active intervention (IP, CM, or IP+CM) had a higher study completion rate (33/53, 63.5%) compared to those who received SR (5/12, 41.7%), but this difference was not significant (P=.26).

CONCLUSIONS

Combining IP and CM strategies may motivate participants to participate in research and improve recruitment and retention rates. Evidence from this study provides preliminary support for the utility of behavioral economics strategies to improve enrollment and reduce attrition in clinical trials.

Testing Behavior Change Techniques to Increase Physical Activity in Middle-Aged and Older Adults: Protocol for a Randomized Personalized Trial Series

BACKGROUND

Being physically active is critical to successful aging, but most middle-aged and older adults do not move enough. Research has shown that even small increases in activity can have a significant impact on risk reduction and improve quality of life. Some behavior change techniques (BCTs) can increase activity, but prior studies on their effectiveness have primarily tested them in between-subjects trials and in aggregate. These design approaches, while robust, fail to identify those BCTs most influential for a given individual. In contrast, a personalized, or N-of-1, trial design can assess a person's response to each specific intervention.

OBJECTIVE

This study is designed to test the feasibility, acceptability, and preliminary effectiveness of a remotely delivered personalized behavioral intervention to increase low-intensity physical activity (ie, walking) in adults aged 45 to 75 years.

METHODS

The intervention will be administered over 10 weeks, starting with a 2-week baseline period followed by 4 BCTs (goal-setting, self-monitoring, feedback, and action planning) delivered one at a time, each for 2 weeks. In total, 60 participants will be randomized post baseline to 1 of 24 intervention sequences. Physical activity will be continuously measured by a wearable activity tracker, and intervention components and outcome measures will be delivered and collected by email, SMS text messages, and surveys. The effect of the overall intervention on step counts relative to baseline will be examined using generalized linear mixed models with an autoregressive model that accounts for possible autocorrelation and linear trends for daily steps across time. Participant satisfaction with the study components and attitudes and opinions toward personalized trials will be measured at the intervention's conclusion.

RESULTS

Pooled change in daily step count will be reported between baseline and individual BCTs and baseline versus overall intervention. Self-efficacy scores will be compared between baseline and individual BCTs and between baseline and the overall intervention. Mean and SD will be reported for survey measures (participant satisfaction with study components and attitudes and opinions toward personalized trials).

CONCLUSIONS

Assessing the feasibility and acceptability of delivering a personalized, remote physical activity intervention for middle-aged and older adults will inform what steps will be needed to scale up to a fully powered and within-subjects experimental design remotely. Examining the effect of each BCT in isolation will allow for their unique impact to be assessed and support design of future behavioral interventions. In using a personalized trial design, the heterogeneity of individual responses for each BCT can be quantified and inform later National Institutes of Health stages of intervention development trials.

TRIAL REGISTRATION

clinicaltrials.gov NCT04967313; https://clinicaltrials.gov/ct2/show/NCT04967313.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR1-10.2196/43418.

Physiological and psychological effects of a 12-week home-based telemonitored training in metabolic syndrome

Background

Metabolic Syndrome (MetS) increases the risk of cardiovascular diseases (CVD) and affects around one fourth of the population worldwide. In the prevention and treatment regular exercise trainings are inevitable. Providing personal supervision in out/inpatient care settings for such a large target population challenges the healthcare systems, but using telemonitoring of the home-performed trainings could be a promising and widely available option.

Objectives

The aim of this study was to evaluate the physiological and psychological effects of a 12-week home-based physical training program, telemonitored by widely available fitness devices on parameters of MetS patients.

Methods

A total of 55 MetS patients (mean age 49.19 ± 7.93 years) were involved in the study. They were asked to perform 3-5 sessions of exercise activity (min. 150 min) each week for 12 weeks. Trainings were monitored off-line by heart rate sensors, a fitness application and a cloud-based data transfer system. Physiotherapists supervised, coached, and feedback the trainings through an online coach system. We investigated different anthropometric parameters, maximum exercise and functional capacity levels, laboratory parameters, the level of depression, insomnia, vital exhaustion, and wellbeing as well.

Results

The average weekly training time was 152.0 ± 116.2 min. Out of the 55 participants who completed the program, 22 patients (40%) performed the recommended 150 min or more weekly. Patients showed statistically significant changes in: all the measured waist and hip circumferences; 6-min walk distance (6MWD; from 539.69 ± 78.62 to 569.72 ± 79.96 m, p < 0.001); maximal exercise capacity (11.02 ± 2.6 to 12.14 ± 2 MET, p < 0.001), stress-electrocardiogram duration time (13.74 ± 3.29 to 15.66 ± 2.64 min, p < 0.001); body weight (98.72 ± 21.7 to 97.45 ± 21.76 kg, p = 0.004); high-density lipoprotein cholesterol (n = 45, 1.28 ± 0.31 to 1.68 ± 0.36 mmol/L, p < 0.001); fasting plasma glucose (FPG; n = 47, 6.16 ± 1.26 to 5.44 ± 1.31 mmol/L, p = 0.001); glycated hemoglobin A1c (HbA1c; n = 41, 6.22 ± 0.68 to 5.87 ± 0.78%, p = 0.01). Out of the 55 patients who finished the program 38 patients (70%) completed all the psychological questionnaires. We found statistically significant decrease of the overall scores of the Maastricht Vital Exhaustion Questionnaire, from 3.37 ± 2.97 points to 2.63 ± 2.70 points (p < 0.05) and a significant increase of the overall scores of the WHO Wellbeing Scale from 9.92 ± 2.59 points to 10.61 ± 2.76 points (p < 0.05). We have not found any statistically significant changes in the scores of the Beck Depression Inventory and the Athens Insomnia Scale.

Conclusion

A 12-week home-based telemonitored training supported by an affordable, commonly available device system produces positive, statistically significant changes in many core components in MetS patients. Telemonitoring is a cheap method for coaching and feeding back the home-based interventions.

Do Incentives Crowd Out Motivation? A Feasibility Study of a Community Vector-Control Campaign in Peru

Incentives are a useful tool in encouraging healthy behavior as part of public health initiatives. However, there remains concern about motivation crowd out-a decline in levels of motivation to undertake a behavior to below baseline levels after incentives have been removed-and few public health studies have assessed for motivation crowd out. Here, we assess the feasibility of identifying motivation crowd out following a lottery to promote participation in a Chagas disease vector control campaign. We look for evidence of crowd out in subsequent participation in the same behavior, a related behavior, and an unrelated behavior. We identified potential motivation crowd out for the same behavior, but not for related behavior or unrelated behaviors after lottery incentives are removed. Despite some limitations, we conclude that motivation crowd out is feasible to assess in large-scale trials of incentives.

A citywide experiment testing the impact of geographically targeted, high-pay-off vaccine lotteries

Lotteries have been shown to motivate behaviour change in many settings, but their value as a policy tool is relatively untested. We implemented a pre-registered, citywide experiment to test the effects of three high-pay-off, geographically targeted lotteries designed to motivate adult Philadelphians to get their COVID-19 vaccine. In each drawing, the residents of a randomly selected 'treatment' zip code received half the lottery prizes, boosting their chances of winning to 50×-100× those of other Philadelphians. The first treated zip code, which drew considerable media attention, may have experienced a small bump in vaccinations compared with the control zip codes: average weekly vaccinations rose by an estimated 61 per 100,000 people per week (+11%). After pooling the results from all three zip codes treated during our six-week experiment, however, we do not detect evidence of any overall benefits. Furthermore, our 95% confidence interval provides a 9% upper bound on the net benefits of treatment in our study.

Pilot Evaluation of the Impact of Lottery-Based Incentives on Engagement Levels of Male Low SES Vocational Students With an mHealth App

In general, individuals with lower socioeconomic status (SES) are less physically active and adhere to poorer diets than higher SES individuals. To promote healthier lifestyles in lower SES populations, we hosted a digital health promotion program among male vocational students at a school in The Netherlands. In a pilot study, we evaluated whether this target audience could be engaged with an mHealth app using lottery-based incentives that trigger feelings of anticipated regret. Especially, we studied the social and interpersonal aspects of regret lotteries in a within-subject experimental design. In this design, subjects either participated in a social variant (i.e., with students competing against their peers for a chance at a regret lottery), or an individual variant (i.e., with subjects solely individually engaged in a lottery). Additionally, we studied the impact of different payout schedules in a between-subject experimental design. In this design, participants were assigned to either a short-term, low-value payout schedule, or a long-term, high-value payout schedule. From a population of 72 male students, only half voluntarily participated in our 10-week program. From interviews, we learned that the main reason for neglecting the program was not related to the lottery-based incentives, nor to the prizes that were awarded. Instead, non-enrolled subjects did not join the program, because their peers were not joining. Paradoxically, it was suggested that students withheld their active participation until a larger portion of the sample was actively participating. From the subjects that enrolled in the program (N = 36, males, between 15 and 25 years of age), we found that a large proportion stopped interacting with the program over time (e.g., after roughly 4 weeks). Our results also indicated that students performed significantly more health-related activities when assigned to the social regret lottery, as opposed to the individual variant. This result was supported by interview responses from active participants: They mainly participated to compete against their peers, and not so much for the prizes. Hence, from this study, we obtained initial evidence on the impact of social and competitive aspects in lottery-based incentives to stimulate engagement levels in lower SES students with an mHealth app.

A randomized controlled trial to evaluate a behavioral economic strategy for improving mobility in veterans with chronic pain

Rates of chronic pain and daily opioid use are higher among veterans relative to civilian populations. Increasing physical activity can reduce pain severity and decrease opioid use among patients with chronic pain. Behavioral economic strategies can improve physical activity levels but have been undertested in veterans with chronic pain. The objective of this study was to evaluate if a financial incentive combined with a loss aversion component-a "regret lottery" in which veterans could win money if they met a set goal or told how much they could have won had they met their goal-would increase physical activity levels among veterans with chronic pain. A 12-week single-blinded randomized controlled trial (ClinicalTrials.gov: NCT04013529) was designed. Veterans with chronic pain (N = 40) receiving care at a specialty pain clinic were eligible for participation, and were randomly assigned (1:1) to either (a) activity trackers and daily text message reminders to increase physical activity ("control arm"), or (b) the same plus a weekly regret lottery ("intervention arm"). For those in the intervention arm, participants who met their activity goal, had a chance to win a small ($30) or large ($100) gift card incentive; those who did not meet their goals were informed of what they would have won had they met their goal. The primary outcome, physical activity, was measured using self-reported physical activity and step counts using activity trackers. Secondary outcomes included changes in physical function, chronic pain severity, depression and opioid use. The sample was primarily white, male and disabled, with an average age of 57 years. No between-arm differences were noted for physical activity, physical function, chronic pain severity, depression or opioid use. Regret lottery-based approaches may be ineffective at increasing physical activity levels in veterans with chronic pain. Trial Registry: NCT04013529.

Ethically incentivising healthy behaviours: views of parents and adolescents with type 1 diabetes

BACKGROUND

To assess ethical concerns associated with participation in a financial incentive (FI) programme to help adolescents with type 1 diabetes improve diabetes self-management.

METHODS

Focus groups with 46 adolescents with type 1 diabetes ages 12-17 and 38 of their parents were conducted in the Seattle, Washington metropolitan area. Semistructured focus group guides addressed ethical concerns related to the use of FI to promote change in diabetes self-management. Qualitative data were analysed and emergent themes identified.

RESULTS

We identified three themes related to the ethical issues adolescents and parents anticipated with FI programme participation. First, FI programmes may variably change pressure and conflict in different families in ways that are not necessarily problematic. Second, the pressure to share FIs in some families and how FI payments are structured may lead to unfairness in some cases. Third, some adolescents may be likely to fabricate information in any circumstances, not simply because of FIs, but this could compromise the integrity of FI programmes relying on measures that cannot be externally verified.

CONCLUSIONS

Many adolescents with type 1 diabetes and their parents see positive potential of FIs to help adolescents improve their self-management. However, ethical concerns about unfairness, potentially harmful increases in conflict/pressure and dishonesty should be addressed in the design and evaluation of FI programmes.

The influence of value reference point and risk preference on adherence in hypertensive patients in a low-income area of China

Aims: Prevention and control of hypertension can be achieved by improving patient adherence to long-term treatment regimens. Non-adherence is an obstacle to chronic disease management. We studied the impact of value reference point and risk preference on patient adherence and influencing factors from the perspective of behavioral economics so as to offer targeted recommendations to improving patient adherence in low-income areas.Methods: A representative impoverished area, Qianjiang District in Chongqing was selected as the sample district. A cross-sectional survey using questionnaire augmented with an interview was conducted to collect information with 321 patients previously diagnosed with hypertension stage 3. Preference experiments conducted through scenario simulation were used to elicit and measure patients' value and risk preferences. We constructed a structural equation model to verify the impact of value reference points and risk preference on adherence behavior decision-making. Logistic regression models were constructed to analyze other factors that may influence adherence.Results: Adherence was determined by patients' value reference points (path coefficient = 0.876, p < 0.01) and risk preference (path coefficient = 0.715, p < 0.01). The factor loadings of all indicators on the latent variables were significant (p < 0.01). Hypertensive patients in our cohort adhered poorly to health management and were heavily influenced by knowledge of hypertension, expectation, health literacy and opportunity costs. Certainty effect, overconfidence and optimism significantly affected patients' risk preference in decision-making progress. In the face of the uncertain benefits of adherence, patients preferred to delay treatment until condition affected their quality of life, resulting in poor adherence. Satisfaction with current services and relationship with physicians, as well as type of drugs also influenced adherence.Conclusions: Adherence may be improved by changing patients' value reference points and perceptions through health education and better health service resources. One of the key to increasing adherence is through identifying and eliminating bias.