Remotely Monitored Gamification and Social Incentives to Improve Glycemic Control Among Adults With Uncontrolled Type 2 Diabetes (iDiabetes): Protocol for a Randomized Controlled Trial

Michael Fortunato, Joseph Harrison, Ai Leen Oon, Dylan Small, Victoria Hilbert, Charles Rareshide, Mitesh Patel, Michael Fortunato, Joseph Harrison, Ai Leen Oon, Dylan Small, Victoria Hilbert, Charles Rareshide, Mitesh Patel

Abstract

Background: Type 2 diabetes is a significant cause of morbidity and mortality in the United States. Lifestyle modifications including increasing physical activity and losing weight have been demonstrated to improve glycemic control. However, most patients struggle to make these changes. Many stakeholders are interested in using gamification and social incentives to increase engagement in healthy behaviors. However, these approaches often do not appropriately leverage insights from behavioral economics that could be used to address predictable barriers to behavior change.

Objective: This study aimed to describe the protocol for the Influencing DIabetics to Adapt Behaviors related to Exercise and weighT by Enhancing Social incentives (iDiabetes) trial, which aimed to evaluate the effectiveness of gamification interventions that leverage insights from behavioral economics to enhance supportive, competitive, or collaborative social incentives to improve glycemic control, promote weight loss, and increase physical activity among overweight and obese adults with type 2 diabetes.

Methods: We are conducting a one-year four-arm randomized controlled trial of 361 overweight and obese patients with type 2 diabetes and a glycated hemoglobin (HbA1c) level ≥8.0. Wireless weight scales and wearable devices are provided to remotely monitor weight and physical activity and transmit data to the study team. Patients are recruited by email, following which they establish a baseline measure of weight, daily step count, HbA1c level, and low-density lipoprotein cholesterol level and then repeat these measures at 6 and 12 months. The control arm receives no other interventions. Patients randomized to one of the three intervention arms are entered into a game designed using insights from behavioral economics to enhance supportive, competitive, or collaborative social incentives. To examine predictors of strong or poor performance, participants completed validated questionnaires on a range of areas including their personality, risk preferences, and social network.

Results: Enrollment of 361 patients was completed in January 2019. Results are expected in 2020.

Conclusions: The iDiabetes trial represents a scalable model to remotely monitor the daily health behaviors of adults with type 2 diabetes. Results from this trial will help provide insights into how to improve management of patients with type 2 diabetes.

Trial registration: ClinicalTrials.gov NCT02961192; https://ichgcp.net/clinical-trials-registry/NCT02961192.

International registered report identifier (irrid): DERR1-10.2196/14180.

Keywords: behavioral economics; diabetes; gamification; glycemic control weight; physical activity; remote monitoring; social incentives; wearable devices.

Conflict of interest statement

Conflicts of Interest: MP is supported by career development awards from the Department of Veterans Affairs HSR&D and the Doris Duke Charitable Foundation. MP is the founder of Catalyst Health, a technology and behavior change consulting firm. MP also has received research funding from Deloitte, which is not related to the work described in this paper. No other disclosures were reported.

©Michael Fortunato, Joseph Harrison, Ai Leen Oon, Dylan Small, Victoria Hilbert, Charles Rareshide, Mitesh Patel. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 20.11.2019.

Figures

Figure 1
Figure 1
Depiction of the wireless devices used by participants.
Figure 2
Figure 2
Example of a physician letter.
Figure 3
Figure 3
Example of support partner messages.
Figure 4
Figure 4
Study flow diagram of participants randomized into the Influencing DIabetics to Adapt Behaviors related to Exercise and weighT by Enhancing Social incentives trial. BMI: body mass index; HbA1c: glycated hemoglobin; LDL-C: low-density lipoprotein cholesterol.

References

    1. Menke A, Casagrande S, Geiss L, Cowie CC. Prevalence of and trends in diabetes among adults in the United States, 1988-2012. J Am Med Assoc. 2015 Sep 8;314(10):1021–9. doi: 10.1001/jama.2015.10029.
    1. Gregg EW, Li Y, Wang J, Burrows NR, Ali MK, Rolka D, Williams DE, Geiss L. Changes in diabetes-related complications in the United States, 1990-2010. N Engl J Med. 2014 Apr 17;370(16):1514–23. doi: 10.1056/NEJMoa1310799.
    1. Balk EM, Earley A, Raman G, Avendano EA, Pittas AG, Remington PL. Combined diet and physical activity promotion programs to prevent type 2 diabetes among persons at increased risk: a systematic review for the community preventive services task force. Ann Intern Med. 2015 Sep 15;163(6):437–51. doi: 10.7326/M15-0452.
    1. Jeon CY, Lokken RP, Hu FB, van Dam RM. Physical activity of moderate intensity and risk of type 2 diabetes: a systematic review. Diabetes Care. 2007 Mar;30(3):744–52. doi: 10.2337/dc06-1842.
    1. Patel MS, Asch DA, Volpp KG. Wearable devices as facilitators, not drivers, of health behavior change. J Am Med Assoc. 2015 Mar 3;313(5):459–60. doi: 10.1001/jama.2014.14781.
    1. Patel MS, Foschini L, Kurtzman GW, Zhu J, Wang W, Rareshide CAL, Zbikowski SM. Using wearable devices and smartphones to track physical activity: initial activation, sustained use, and step counts across sociodemographic characteristics in a national sample. Ann Intern Med. 2017 Nov 21;167(10):755–7. doi: 10.7326/M17-1495.
    1. Kawachi I. It's all in the game-the uses of gamification to motivate behavior change. JAMA Intern Med. 2017 Nov 1;177(11):1593–4. doi: 10.1001/jamainternmed.2017.4798.
    1. Cotton V, Patel MS. Gamification use and design in popular health and fitness mobile applications. Am J Health Promot. 2019 Mar;33(3):448–51. doi: 10.1177/0890117118790394.
    1. Edwards EA, Lumsden J, Rivas C, Steed L, Edwards LA, Thiyagarajan A, Sohanpal R, Caton H, Griffiths CJ, Munafò MR, Taylor S, Walton RT. Gamification for health promotion: systematic review of behaviour change techniques in smartphone apps. BMJ Open. 2016 Oct 4;6(10):e012447. doi: 10.1136/bmjopen-2016-012447.
    1. Hamari J, Sarsa H, Koivisto J. Does Gamification Work? -- A Literature Review of Empirical Studies on Gamification. Proceedings of the 2014 47th Hawaii International Conference on System Sciences; HICSS'14; January 6-9, 2014; Hawaii, USA. 2014.
    1. Sardi L, Idri A, Fernández-Alemán JL. A systematic review of gamification in e-Health. J Biomed Inform. 2017 Jul;71:31–48. doi: 10.1016/j.jbi.2017.05.011.
    1. Loewenstein G, Asch DA, Volpp KG. Behavioral economics holds potential to deliver better results for patients, insurers, and employers. Health Aff (Millwood) 2013 Jul;32(7):1244–50. doi: 10.1377/hlthaff.2012.1163.
    1. Loewenstein G, Brennan T, Volpp KG. Asymmetric paternalism to improve health behaviors. J Am Med Assoc. 2007 Nov 28;298(20):2415–7. doi: 10.1001/jama.298.20.2415.
    1. Kahneman D, Tversky A. Prospect theory: an analysis of decision under risk. Econometrica. 1979 Mar;47(2):263. doi: 10.2307/1914185.
    1. Patel MS, Asch DA, Rosin R, Small DS, Bellamy SL, Heuer J, Sproat S, Hyson C, Haff N, Lee SM, Wesby L, Hoffer K, Shuttleworth D, Taylor DH, Hilbert V, Zhu J, Yang L, Wang X, Volpp KG. Framing financial incentives to increase physical activity among overweight and obese adults: a randomized, controlled trial. Ann Intern Med. 2016 Mar 15;164(6):385–94. doi: 10.7326/M15-1635.
    1. Chokshi NP, Adusumalli S, Small DS, Morris A, Feingold J, Ha YP, Lynch MD, Rareshide CA, Hilbert V, Patel MS. Loss-framed financial incentives and personalized goal-setting to increase physical activity among ischemic heart disease patients using wearable devices: the active reward randomized trial. J Am Heart Assoc. 2018 Jun 13;7(12):pii: e009173. doi: 10.1161/JAHA.118.009173.
    1. O'Donoghue T, Rabin M. Doing it now or later. Am Econ Rev. 1999 Mar;89(1):103–24. doi: 10.1257/aer.89.1.103.
    1. Zeelenberg M, Pieters R. Consequences of regret aversion in real life: the case of the Dutch postcode lottery. Organ Behav Hum Decis Process. 2004;93(2):155–68. doi: 10.1016/j.obhdp.2003.10.001.
    1. Patel MS, Benjamin EJ, Volpp KG, Fox CS, Small DS, Massaro JM, Lee JJ, Hilbert V, Valentino M, Taylor DH, Manders ES, Mutalik K, Zhu J, Wang W, Murabito JM. Effect of a game-based intervention designed to enhance social incentives to increase physical activity among families: the be fit randomized clinical trial. JAMA Intern Med. 2017 Nov 1;177(11):1586–93. doi: 10.1001/jamainternmed.2017.3458.
    1. Kurtzman GW, Day SC, Small DS, Lynch M, Zhu J, Wang W, Rareshide CA, Patel MS. Social incentives and gamification to promote weight loss: the LOSE IT randomized, controlled trial. J Gen Intern Med. 2018 Oct;33(10):1669–75. doi: 10.1007/s11606-018-4552-1.
    1. Asch DA, Volpp KG. On the way to health. LDI Issue Brief. 2012;17(9):1–4.
    1. Patel MS, Asch DA, Rosin R, Small DS, Bellamy SL, Eberbach K, Walters KJ, Haff N, Lee SM, Wesby L, Hoffer K, Shuttleworth D, Taylor DH, Hilbert V, Zhu J, Yang L, Wang X, Volpp KG. Individual versus team-based financial incentives to increase physical activity: a randomized, controlled trial. J Gen Intern Med. 2016 Jul;31(7):746–54. doi: 10.1007/s11606-016-3627-0.
    1. Patel MS, Volpp KG, Rosin R, Bellamy SL, Small DS, Fletcher MA, Osman-Koss R, Brady JL, Haff N, Lee SM, Wesby L, Hoffer K, Shuttleworth D, Taylor DH, Hilbert V, Zhu J, Yang L, Wang X, Asch DA. A randomized trial of social comparison feedback and financial incentives to increase physical activity. Am J Health Promot. 2016 Jul;30(6):416–24. doi: 10.1177/0890117116658195.
    1. Patel MS, Volpp KG, Rosin R, Bellamy SL, Small DS, Heuer J, Sproat S, Hyson C, Haff N, Lee SM, Wesby L, Hoffer K, Shuttleworth D, Taylor DH, Hilbert V, Zhu J, Yang L, Wang X, Asch DA. A randomized, controlled trial of lottery-based financial incentives to increase physical activity among overweight and obese adults. Am J Health Promot. 2018 Sep;32(7):1568–75. doi: 10.1177/0890117118758932.
    1. Patel MS, Asch DA, Troxel AB, Fletcher M, Osman-Koss R, Brady J, Wesby L, Hilbert V, Zhu J, Wang W, Volpp KG. Premium-based financial incentives did not promote workplace weight loss in a 2013-15 study. Health Aff (Millwood) 2016 Jan;35(1):71–9. doi: 10.1377/hlthaff.2015.0945.
    1. Blais AW. A Domain-Specific Risk-Taking (DOSPERT) scale for adult populations. Judgm Decis Mak. 2006;1(1):33–47.
    1. McCrae RR, Costa PT. Validation of the five-factor model of personality across instruments and observers. J Pers Soc Psychol. 1987 Jan;52(1):81–90. doi: 10.1037//0022-3514.52.1.81.
    1. Sherbourne CD, Stewart AL. The MOS social support survey. Soc Sci Med. 1991;32(6):705–14. doi: 10.1016/0277-9536(91)90150-b.
    1. Case MA, Burwick HA, Volpp KG, Patel MS. Accuracy of smartphone applications and wearable devices for tracking physical activity data. J Am Med Assoc. 2015;313(6):625–6. doi: 10.1001/jama.2014.17841.
    1. Bassett DR, Wyatt HR, Thompson H, Peters JC, Hill JO. Pedometer-measured physical activity and health behaviors in US adults. Med Sci Sports Exerc. 2010 Oct;42(10):1819–25. doi: 10.1249/MSS.0b013e3181dc2e54.
    1. Kang M, Rowe DA, Barreira TV, Robinson TS, Mahar MT. Individual information-centered approach for handling physical activity missing data. Res Q Exerc Sport. 2009 Jun;80(2):131–7. doi: 10.1080/02701367.2009.10599546.
    1. Rogers T, Milkman KL, Volpp KG. Commitment devices: using initiatives to change behavior. J Am Med Assoc. 2014 May;311(20):2065–6. doi: 10.1001/jama.2014.3485.
    1. Ariely D, Wertenbroch K. Procrastination, deadlines, and performance: self-control by precommitment. Psychol Sci. 2002 May;13(3):219–24. doi: 10.1111/1467-9280.00441.
    1. Dai H, Milkman KL, Riis J. The fresh start effect: temporal landmarks motivate aspirational behavior. Manag Sci. 2014;60(10):2563–82. doi: 10.1287/mnsc.2014.1901.
    1. Sen AP, Sewell TB, Riley EB, Stearman B, Bellamy SL, Hu MF, Tao Y, Zhu J, Park JD, Loewenstein G, Asch DA, Volpp KG. Financial incentives for home-based health monitoring: a randomized controlled trial. J Gen Intern Med. 2014 May;29(5):770–7. doi: 10.1007/s11606-014-2778-0.
    1. Long JA, Jahnle EC, Richardson DM, Loewenstein G, Volpp KG. Peer mentoring and financial incentives to improve glucose control in African American veterans: a randomized trial. Ann Intern Med. 2012 Mar 20;156(6):416–24. doi: 10.7326/0003-4819-156-6-201203200-00004.
    1. Burman C, Sonesson C, Guilbaud O. A recycling framework for the construction of Bonferroni-based multiple tests. Stat Med. 2009 Mar 28;28(5):739–61. doi: 10.1002/sim.3513.
    1. Rubin DB. Multiple Imputation for Nonresponse in Surveys. New York, NY: Wiley; 1987.
    1. Asch DA, Rosin R. Engineering social incentives for health. N Engl J Med. 2016 Dec 29;375(26):2511–3. doi: 10.1056/NEJMp1603978.
    1. Christakis NA, Fowler JH. The collective dynamics of smoking in a large social network. N Engl J Med. 2008 May 22;358(21):2249–58. doi: 10.1056/NEJMsa0706154.
    1. Christakis NA, Fowler JH. The spread of obesity in a large social network over 32 years. N Engl J Med. 2007 Jul 26;357(4):370–9. doi: 10.1056/NEJMsa066082.

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