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Goodwin AM, Miller D, D’Angelo S, Perrin A, Wiener R, Greene B, Romain AMN, Arader L, Chandereng T, Kuen Cheung Y, Davidson KW, Butler M. Protocol for randomized personalized trial for stress management compared to standard of care. Front Psychol 2023; 14:1233884. [PMID: 37794909 PMCID: PMC10546313 DOI: 10.3389/fpsyg.2023.1233884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 09/04/2023] [Indexed: 10/06/2023] Open
Abstract
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.
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Affiliation(s)
- Ashley M. Goodwin
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
| | - Danielle Miller
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
| | - Stefani D’Angelo
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
| | - Alexandra Perrin
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
| | - Ruby Wiener
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
| | - Brittney Greene
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
- State University of New York at Buffalo, Buffalo, NY, United States
| | - Anne-Marie N. Romain
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
- Gordon F. Derner School of Psychology, Adelphi University, Garden City, NY, United States
| | - Lindsay Arader
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
- Department of Psychology, St. John’s University, Jamaica, NY, United States
| | - Thevaa Chandereng
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
| | - Ying Kuen Cheung
- Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Karina W. Davidson
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY, United States
| | - Mark Butler
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
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Klaiman T, Iannotte LG, Josephs M, Russell LB, Norton L, Mehta S, Troxel A, Zhu J, Volpp K, Asch DA. Qualitative analysis of a remote monitoring intervention for managing heart failure. BMC Cardiovasc Disord 2023; 23:440. [PMID: 37679712 PMCID: PMC10486103 DOI: 10.1186/s12872-023-03456-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 08/17/2023] [Indexed: 09/09/2023] Open
Abstract
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.
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Affiliation(s)
- Tamar Klaiman
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA.
| | - L G Iannotte
- The Lake Erie School of Osteopathic Medicine, Erie, USA
| | - Michael Josephs
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
| | - Louise B Russell
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
- Rutgers University, New Jersey, USA
| | - Laurie Norton
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
| | - Shivan Mehta
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
| | - Andrea Troxel
- New York University, Grossman School of Medicine, New York, USA
| | - Jingsan Zhu
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
| | - Kevin Volpp
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
| | - David A Asch
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
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Greene B, Bernardo L, Thompson M, Loughead J, Ashare R. Behavioral Economic Strategies to Improve Enrollment Rates in Clinical Research: Embedded Recruitment Pilot Trial. JMIR Form Res 2023; 7:e47121. [PMID: 37477975 PMCID: PMC10403799 DOI: 10.2196/47121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 06/16/2023] [Accepted: 06/19/2023] [Indexed: 07/22/2023] Open
Abstract
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.
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Affiliation(s)
- Brittney Greene
- State University of New York at Buffalo, Buffalo, NY, United States
| | - Leah Bernardo
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Morgan Thompson
- School of Nursing, University of Pennsylvania, Philadelphia, PA, United States
| | - James Loughead
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Rebecca Ashare
- State University of New York at Buffalo, Buffalo, NY, United States
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Friel CP, Robles PL, Butler M, Pahlevan-Ibrekic C, Duer-Hefele J, Vicari F, Chandereng T, Cheung K, Suls J, Davidson KW. Testing Behavior Change Techniques to Increase Physical Activity in Middle-Aged and Older Adults: Protocol for a Randomized Personalized Trial Series. JMIR Res Protoc 2023; 12:e43418. [PMID: 37314839 PMCID: PMC10337349 DOI: 10.2196/43418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 04/19/2023] [Accepted: 04/20/2023] [Indexed: 06/15/2023] Open
Abstract
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.
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Affiliation(s)
- Ciaran P Friel
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
| | - Patrick L Robles
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
| | - Mark Butler
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
| | - Challace Pahlevan-Ibrekic
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
| | - Joan Duer-Hefele
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
| | - Frank Vicari
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
| | - Thevaa Chandereng
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
| | - Ken Cheung
- Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Jerry Suls
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
| | - Karina W Davidson
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, United States
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Máthéné Köteles É, Rafael B, Korom A, Vágvölgyi A, Ábrahám JE, Domján A, Szűcs M, Nemes A, Barnai M, Lengyel C, Kósa I. Physiological and psychological effects of a 12-week home-based telemonitored training in metabolic syndrome. Front Cardiovasc Med 2023; 9:1075361. [PMID: 36704473 PMCID: PMC9871627 DOI: 10.3389/fcvm.2022.1075361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 12/06/2022] [Indexed: 01/12/2023] Open
Abstract
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.
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Affiliation(s)
- Éva Máthéné Köteles
- Department of Physiotherapy, Faculty of Health Sciences and Social Studies, University of Szeged, Szeged, Hungary
| | - Beatrix Rafael
- Department of Medical Prevention, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Andrea Korom
- Department of Physiotherapy, Faculty of Health Sciences and Social Studies, University of Szeged, Szeged, Hungary
| | - Anna Vágvölgyi
- Department of Medicine, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Judit Erzsébet Ábrahám
- Department of Medical Prevention, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Andrea Domján
- Department of Physiotherapy, Faculty of Health Sciences and Social Studies, University of Szeged, Szeged, Hungary
| | - Mónika Szűcs
- Department of Medical Physics and Informatics, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Attila Nemes
- Department of Medicine, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary,*Correspondence: Attila Nemes,
| | - Mária Barnai
- Department of Physiotherapy, Faculty of Health Sciences and Social Studies, University of Szeged, Szeged, Hungary
| | - Csaba Lengyel
- Department of Medicine, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - István Kósa
- Department of Medical Prevention, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary,Department of Medicine, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
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Buttenheim A, Castillo-Neyra R, Arevalo-Nieto C, Shinnick JE, Sheen JK, Volpp K, Paz-Soldan V, Behrman JR, Levy MZ. Do Incentives Crowd Out Motivation? A Feasibility Study of a Community Vector-Control Campaign in Peru. Behav Med 2023; 49:53-61. [PMID: 34847825 PMCID: PMC9869690 DOI: 10.1080/08964289.2021.1977603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 06/20/2021] [Accepted: 08/22/2021] [Indexed: 01/28/2023]
Abstract
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.
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Affiliation(s)
- Alison Buttenheim
- Department of Family and Community Nursing, University of Pennsylvania, Philadelphia, USA
- Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, USA
| | - Ricardo Castillo-Neyra
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, Philadelphia, USA
- Department of Health Management, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Claudia Arevalo-Nieto
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, Philadelphia, USA
- Department of Health Management, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Julianna E. Shinnick
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, Philadelphia, USA
| | - Justin K. Sheen
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, Philadelphia, USA
| | - Kevin Volpp
- Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, USA
| | - Valerie Paz-Soldan
- Department of Health Management, Universidad Peruana Cayetano Heredia, Lima, Peru
- Department of Global Community Health and Behavioral Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, USA
- Asociasión Benéfica PRISMA, Lima, Peru
| | - Jere R. Behrman
- Departments of Economics and Sociology, University of Pennsylvania, Philadelphia, USA
| | - Michael Z. Levy
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, Philadelphia, USA
- Department of Health Management, Universidad Peruana Cayetano Heredia, Lima, Peru
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A citywide experiment testing the impact of geographically targeted, high-pay-off vaccine lotteries. Nat Hum Behav 2022; 6:1515-1524. [PMID: 36050387 DOI: 10.1038/s41562-022-01437-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 07/19/2022] [Indexed: 11/09/2022]
Abstract
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.
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Nuijten R, Van Gorp P, Hietbrink J, Le Blanc P, Kemperman A, van den Berg P, Simons M. Pilot Evaluation of the Impact of Lottery-Based Incentives on Engagement Levels of Male Low SES Vocational Students With an mHealth App. Front Digit Health 2022; 3:748588. [PMID: 35072150 PMCID: PMC8782146 DOI: 10.3389/fdgth.2021.748588] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 12/03/2021] [Indexed: 11/18/2022] Open
Abstract
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.
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Affiliation(s)
- Raoul Nuijten
- School of Industrial Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
- *Correspondence: Raoul Nuijten
| | - Pieter Van Gorp
- School of Industrial Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Juup Hietbrink
- School of Industrial Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Pascale Le Blanc
- School of Industrial Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Astrid Kemperman
- Department of the Built Environment, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Pauline van den Berg
- Department of the Built Environment, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Monique Simons
- Consumption and Healthy Lifestyles Group, Wageningen University & Research, Wageningen, Netherlands
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Compton P, Chaiyachati KH, Dicks T, Medvedeva E, Chhabra M. A randomized controlled trial to evaluate a behavioral economic strategy for improving mobility in veterans with chronic pain. PLoS One 2021; 16:e0257320. [PMID: 34634064 PMCID: PMC8504760 DOI: 10.1371/journal.pone.0257320] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 08/26/2021] [Indexed: 12/30/2022] Open
Abstract
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.
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Affiliation(s)
- Peggy Compton
- School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- The Leonard Davis Institute of Health Economics at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Krisda H. Chaiyachati
- The Leonard Davis Institute of Health Economics at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Medicine, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Tanisha Dicks
- Department of Veterans Affairs Center for Health Equity Research and Promotion (CHERP) Philadelphia, Pennsylvania, United States of America
| | - Elina Medvedeva
- Department of Veterans Affairs Center for Health Equity Research and Promotion (CHERP) Philadelphia, Pennsylvania, United States of America
| | - Manik Chhabra
- The Leonard Davis Institute of Health Economics at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Veterans Affairs Center for Health Equity Research and Promotion (CHERP) Philadelphia, Pennsylvania, United States of America
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Shah S, Malik F, Senturia KD, Lind C, Chalmers K, Yi-Frazier J, Pihoker C, Wright D. Ethically incentivising healthy behaviours: views of parents and adolescents with type 1 diabetes. JOURNAL OF MEDICAL ETHICS 2020; 47:medethics-2020-106428. [PMID: 33288647 DOI: 10.1136/medethics-2020-106428] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 08/26/2020] [Accepted: 10/25/2020] [Indexed: 06/12/2023]
Abstract
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.
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Affiliation(s)
- Seema Shah
- Advanced General Pediatrics, Ann and Robert H Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
- Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, United States
| | - Faisal Malik
- Seattle Children's Research Institute, Seattle, Washington, USA
- Pediatrics, University of Washington, Seattle, Washington, USA
| | | | - Cara Lind
- Seattle Children's Research Institute, Seattle, Washington, USA
| | | | - Joyce Yi-Frazier
- Seattle Children's Research Institute, Seattle, Washington, USA
- Pediatrics, University of Washington, Seattle, Washington, USA
| | - Catherine Pihoker
- Seattle Children's Research Institute, Seattle, Washington, USA
- Pediatrics, University of Washington, Seattle, Washington, USA
| | - Davene Wright
- Population Medicine, Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA, United States
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Wang C, Wang P, Dong H, Zhang L, Wu T. The influence of value reference point and risk preference on adherence in hypertensive patients in a low-income area of China. Postgrad Med 2020; 132:132-140. [PMID: 31900018 DOI: 10.1080/00325481.2019.1702849] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
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.
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Affiliation(s)
- Chenli Wang
- China Hospital Development Institute, School of Public Health, Shanghai Jiaotong University, Shanghai, China
| | - Peilong Wang
- Department of Orthopedic Surgery, Shanghai Jiaotong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Hengjin Dong
- School of Public Health, Zhejiang University, Hangzhou, China
| | - Liang Zhang
- School of Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tao Wu
- School of Medicine, Shanghai Jiaotong University, Shanghai, China
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