Skip to main content
main-content
Top

09-23-2017 | Mobile technology | Review | Article

A Review of Technology-Assisted Interventions for Diabetes Prevention

Journal: Current Diabetes Reports

Authors: Shira Grock, Jeong-hee Ku, Julie Kim, Tannaz Moin

Publisher: Springer US

share
SHARE

Abstract

Purpose of Review

The high prevalence of prediabetes and success of the diabetes prevention program (DPP) has led to increasing efforts to provide readily accessible, cost-effective DPP interventions to the general public. Technology-assisted DPP interventions are of particular interest since they may be easier to widely distribute and sustain as compared to traditional in-person DPP. The purpose of this article is to provide an overview of currently available technology-assisted DPP interventions.

Recent Findings

This review focuses on studies that have examined the use of mobile phone text messaging, smartphone/web-based apps, and telehealth programs to help prevent or delay the onset of incident type 2 diabetes. While there is variability in the results of studies focused on technology-assisted DPP and weight loss interventions, there is evidence to suggest that these programs have been associated with clinically meaningful weight loss and can be cost-effective.

Summary

Patients who are at risk for diabetes can be offered technology-assisted DPP and weight loss interventions to lower their risk of incident diabetes. Further research should determine what specific combination of intervention features would be most successful.
Literature
1.
Centers for Disease Control and Prevention. National Diabetes Statistics report: estimates of diabetes and its burden in the United States. Atlanta, GA: US Department of Health and Human Services; 2014.
2.
International Diabetes Federation. IDF diabetes atlas. 6th ed. Brussels: International. Diabetes Federation; 2014. Available at: http://​www.​idf.​og/​diabetesatlas
3.
National Diabetes Data Group. Diabetes in America: diabetes data compiled 1984. Bethesda, Md: National Institutes of Health; 1985.
4.
Centers for Disease Control and Prevention. Prediabetes infographic, 2014. Availabe at: http://​www.​cdc.​gov/​diabetes/​pubs/​statsreport14/​prediabetes-infographic.​pdf.
5.
Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346(6):393–403. CrossRefPubMed
6.
• Long-term effects of lifestyle intervention or metformin on diabetes development and microvascular complications over 15-year follow-up: the Diabetes Prevention Program Outcomes Study. Lancet Diabetes Endocrinol. 2015;3(11):866–75. This study provides the most recent evidence that the traditional DPP can prevent diabetes after 15 years follow-up.
7.
Florez H, Pan Q, Ackermann RT, Marrero DG, Barrett-Connor E, Delahanty L, et al. Impact of lifestyle intervention and metformin on health-related quality of life: the diabetes prevention program randomized trial. J Gen Intern Med. 2012;27(12):1594–601. CrossRefPubMedPubMedCentral
8.
Diabetes Prevention Program Research G. The 10-year cost-effectiveness of lifestyle intervention or metformin for diabetes prevention: an intent-to-treat analysis of the DPP/DPPOS. Diabetes Care. 2012;35(4):723–30. CrossRef
9.
Li G, Zhang P, Wang J, An Y, Gong Q, Gregg EW, et al. Cardiovascular mortality, all-cause mortality, and diabetes incidence after lifestyle intervention for people with impaired glucose tolerance in the Da Qing Diabetes Prevention Study: a 23-year follow-up study. The Lancet Diabetes & Endocrinology. 2014;2(6):474–80. CrossRef
10.
Pan XR, Li GW, Hu YH, Wang JX, Yang WY, An ZX, et al. Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study. Diabetes Care. 1997;20(4):537–44. CrossRefPubMed
11.
Lindstrom J, Ilanne-Parikka P, Peltonen M, Aunola S, Eriksson JG, Hemio K, et al. Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study. Lancet. 2006;368(9548):1673–9. CrossRefPubMed
12.
Cefalu WT, Buse JB, Tuomilehto J, Fleming GA, Ferrannini E, Gerstein HC, et al. Update and next steps for real-world translation of interventions for type 2 diabetes prevention: reflections from a diabetes care editors’ expert forum. Diabetes Care. 2016;39(7):1186–201. CrossRefPubMedPubMedCentral
16.
Quinn CC, Shardell MD, Terrin ML, Barr EA, Ballew SH, Gruber-Baldini AL. Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control. Diabetes Care. 2011;34(9):1934–42. CrossRefPubMedPubMedCentral
17.
Hamman RF, Wing RR, Edelstein SL, Lachin JM, Bray GA, Delahanty L, et al. Effect of weight loss with lifestyle intervention on risk of diabetes. Diabetes Care. 2006;29(9):2102–7. CrossRefPubMedPubMedCentral
18.
Ramachandran A, Snehalatha C, Ram J, Selvam S, Simon M, Nanditha A, et al. Effectiveness of mobile phone messaging in prevention of type 2 diabetes by lifestyle modification in men in India: a prospective, parallel-group, randomised controlled trial. Lancet Diabetes Endocrinol. 2013;1(3):191–8. CrossRefPubMed
19.
Fischer HH, Fischer IP, Pereira RI, Furniss AL, Rozwadowski JM, Moore SL, et al. Text message support for weight loss in patients with prediabetes: a randomized clinical trial. Diabetes Care. 2016;39(8):1364–70. CrossRefPubMed
20.
Lin M, Mahmooth Z, Dedhia N, Frutchey R, Mercado CE, Epstein DH, et al. Tailored, interactive text messages for enhancing weight loss among African American adults: the TRIMM randomized controlled trial. Am J Med. 2015;128(8):896–904. CrossRefPubMed
21.
Shapiro JR, Koro T, Doran N, Thompson S, Sallis JF, Calfas K, et al. Text4Diet: a randomized controlled study using text messaging for weight loss behaviors. Prev Med. 2012;55(5):412–7. CrossRefPubMed
22.
• Block G, Azar KM, Romanelli RJ, Block TJ, Hopkins D, Carpenter HA, et al. Diabetes prevention and weight loss with a fully automated behavioral intervention by email, web, and mobile phone: a randomized controlled trial among persons with prediabetes. J Med Internet Res. 2015;17(10):e240. This articles reviews a fully algorithm-driven behavioral support program to decrease the risk of T2DM. CrossRefPubMedPubMedCentral
23.
Fukuoka Y, Gay CL, Joiner KL, Vittinghoff E. A novel diabetes prevention intervention using a mobile app: a randomized controlled trial with overweight adults at risk. Am J Prev Med. 2015;49(2):223–37. CrossRefPubMedPubMedCentral
24.
Michaelides A, Raby C, Wood M, Farr K, Toro-Ramos T. Weight loss efficacy of a novel mobile diabetes prevention program delivery platform with human coaching. BMJ Open Diabetes Res Care. 2016;4(1):e000264. CrossRefPubMedPubMedCentral
25.
• Sepah SC, Jiang L, Peters AL. Translating the diabetes prevention program into an online social network: validation against CDC standards. Diabetes Educ. 2014;40(4):435–43. This article evaluates an online DPP intervention that utilizes many of the key technological features currently available. CrossRefPubMed
26.
Sweet C CV, Gumpina R, Abbott P, Madero E.N., Payne M, Happe L, Matanich R, Renda A, Prewitt T. Outcomes of a digital health program with human coaching for diabetes risk reduction in a medicare population. Journal of Aging and Health. 2017:1–19.
27.
Ahrendt AD, Kattelmann KK, Rector TS, Maddox DA. The effectiveness of telemedicine for weight management in the MOVE! program. The Journal of Rural Health : official journal of the American Rural Health Association and the National Rural Health Care Association. 2014;30(1):113–9. CrossRef
28.
Azar KM, Aurora M, Wang EJ, Muzaffar A, Pressman A, Palaniappan LP. Virtual small groups for weight management: an innovative delivery mechanism for evidence-based lifestyle interventions among obese men. Translational Behavioral Medicine. 2015;5(1):37–44. CrossRefPubMed
29.
Rutledge T, Skoyen JA, Wiese JA, Ober KM, Woods GN. A comparison of MOVE! versus TeleMOVE programs for weight loss in Veterans with obesity. Obesity Research & Clinical Practice. 2017;11(3):344–51.
30.
Vadheim LM, McPherson C, Kassner DR, Vanderwood KK, Hall TO, Butcher MK, et al. Adapted diabetes prevention program lifestyle intervention can be effectively delivered through telehealth. Diabetes Educ. 2010;36(4):651–6. CrossRefPubMed
33.
Sepah SC, Jiang L, Peters AL. Long-term outcomes of a web-based diabetes prevention program: 2-year results of a single-arm longitudinal study. J Med Internet Res. 2015;17(4):e92. CrossRefPubMedPubMedCentral
34.
Moin T, Ertl K, Schneider J, Vasti E, Makki F, Richardson C, et al. Women veterans’ experience with a web-based diabetes prevention program: a qualitative study to inform future practice. J Med Internet Res. 2015;17(5):e127. CrossRefPubMedPubMedCentral
35.
• Schippers M, Adam PC, Smolenski DJ, Wong HT, de Wit JB. A meta-analysis of overall effects of weight loss interventions delivered via mobile phones and effect size differences according to delivery mode, personal contact, and intervention intensity and duration. Obes Rev. 2017;18(4):450–9. This meta-analysis provides a thorough review of mobile phone weight loss interventions. CrossRefPubMed
36.
Chin SO, Keum C, Woo J, Park J, Choi HJ, Woo JT, et al. Successful weight reduction and maintenance by using a smartphone application in those with overweight and obesity. Sci Rep. 2016;6:34563. CrossRefPubMedPubMedCentral
37.
Wieland LS, Falzon L, Sciamanna CN, Trudeau KJ, Brodney S, Schwartz JE, et al. Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people. The Cochrane Database of Systematic Reviews 2012(8):CD007675.
38.
Wantland DJ, Portillo CJ, Holzemer WL, Slaughter R, McGhee EM. The effectiveness of web-based vs. non-web-based interventions: a meta-analysis of behavioral change outcomes. J Med Internet Res. 2004;6(4):e40. CrossRefPubMedPubMedCentral
39.
Tate DF, Finkelstein EA, Khavjou O, Gustafson A. Cost effectiveness of internet interventions: review and recommendations. Annals of Behavioral Medicine : a publication of the Society of Behavioral Medicine. 2009;38(1):40–5. CrossRef
40.
Laing BY, Mangione CM, Tseng CH, Leng M, Vaisberg E, Mahida M, et al. Effectiveness of a smartphone application for weight loss compared with usual care in overweight primary care patients: a randomized, controlled trial. Ann Intern Med. 2014;161(10 Suppl):S5–12. CrossRefPubMedPubMedCentral
41.
Allen JK, Stephens J, Dennison Himmelfarb CR, Stewart KJ, Hauck S. Randomized controlled pilot study testing use of smartphone technology for obesity treatment. J Obes. 2013;2013:151597. CrossRefPubMedPubMedCentral
42.
Shuger SL, Barry VW, Sui X, McClain A, Hand GA, Wilcox S, et al. Electronic feedback in a diet- and physical activity-based lifestyle intervention for weight loss: a randomized controlled trial. Int J Behav Nutr Phys Act. 2011;8:41. CrossRefPubMedPubMedCentral
43.
Lee J, Kim J. Development and efficacy testing of a social network-based competitive application for weight loss. Telemed J E Health. 2016;22(5):410–8. CrossRefPubMed
44.
Svetkey LP, Batch BC, Lin PH, Intille SS, Corsino L, Tyson CC, et al. Cell phone intervention for you (CITY): a randomized, controlled trial of behavioral weight loss intervention for young adults using mobile technology. Obesity (Silver Spring). 2015;23(11):2133–41. CrossRef
45.
Patrick K, Norman GJ, Davila EP, Calfas KJ, Raab F, Gottschalk M, et al. Outcomes of a 12-month technology-based intervention to promote weight loss in adolescents at risk for type 2 diabetes. J Diabetes Sci Technol. 2013;7(3):759–70. CrossRefPubMedPubMedCentral
46.
Napolitano MA, Hayes S, Bennett GG, Ives AK, Foster GD. Using Facebook and text messaging to deliver a weight loss program to college students. Obesity (Silver Spring). 2013;21(1):25–31. CrossRef
47.
Smith KJ, Kuo S, Zgibor JC, McTigue KM, Hess R, Bhargava T, et al. Cost effectiveness of an internet-delivered lifestyle intervention in primary care patients with high cardiovascular risk. Prev Med. 2016;87:103–9. CrossRefPubMed
48.
Su W, Chen F, Dall TM, Iacobucci W, Perreault L. Return on investment for digital behavioral counseling in patients with prediabetes and cardiovascular disease. Prev Chronic Dis. 2016;13:E13. CrossRefPubMedPubMedCentral
49.
McTigue KM, Conroy MB, Hess R, Bryce CL, Fiorillo AB, Fischer GS, et al. Using the internet to translate an evidence-based lifestyle intervention into practice. Telemed J E Health. 2009;15(9):851–8. CrossRefPubMed
50.
Braithwaite RS, Meltzer DO, King JT Jr, Leslie D, Roberts MS. What does the value of modern medicine say about the $50,000 per quality-adjusted life-year decision rule? Med Care. 2008;46(4):349–56. CrossRefPubMed
52.
Alva ML, Hoerger TJ, Jeyaraman R, Amico P, Rojas-Smith L. Impact of the YMCA of the USA diabetes prevention program on Medicare spending and utilization. Health Affairs (Project Hope). 2017;36(3):417–24. CrossRef
53.
Consumer Health Information Corporation. Motivating patients to use smartphone health apps. 2011. Available at: http://​www.​consumer-health.​com/​motivating-patients-to-use-smartphone-health-apps/​.
54.
Gold BC, Burke S, Pintauro S, Buzzell P, Harvey-Berino J. Weight loss on the web: a pilot study comparing a structured behavioral intervention to a commercial program. Obesity (Silver Spring). 2007;15(1):155–64. CrossRef
55.
Carter MC, Burley VJ, Cade JE. Weight loss associated with different patterns of self-monitoring using the mobile phone app My Meal Mate. JMIR mHealth and uHealth. 2017;5(2):e8. CrossRefPubMedPubMedCentral
56.
Kim JY, Wineinger NE, Taitel M, Radin JM, Akinbosoye O, Jiang J, et al. Self-monitoring utilization patterns among individuals in an incentivized program for healthy behaviors. J Med Internet Res. 2016;18(11):e292. CrossRefPubMedPubMedCentral
57.
Khaylis A, Yiaslas T, Bergstrom J, Gore-Felton C. A review of efficacious technology-based weight-loss interventions: five key components. Telemed J E Health. 2010;16(9):931–8. CrossRefPubMedPubMedCentral
58.
Semper HM, Povey R, Clark-Carter D. A systematic review of the effectiveness of smartphone applications that encourage dietary self-regulatory strategies for weight loss in overweight and obese adults. Obes Rev. 2016;17(9):895–906. CrossRefPubMed
59.
Coughlin SS, Hardy D, Caplan LS. The need for culturally-tailored smartphone applications for weight control. Journal of the Georgia Public Health Association. 2016;5(3):228–32. PubMedPubMedCentral
60.
Sullivan DK, Goetz JR, Gibson CA, Mayo MS, Washburn RA, Lee Y, et al. A virtual reality intervention (second life) to improve weight maintenance: rationale and design for an 18-month randomized trial. Contemporary Clinical Trials. 2016;46:77–84. CrossRefPubMed
61.
Azar KM, Lesser LI, Laing BY, Stephens J, Aurora MS, Burke LE, et al. Mobile applications for weight management: theory-based content analysis. Am J Prev Med. 2013;45(5):583–9. CrossRefPubMed

New additions to the Adis Journal Club

A selection of topical peer-reviewed articles from the Adis journals, curated by the editors.

ADA 2022 coverage

Access the latest news and expert insight from the ADA 82nd Scientific Sessions