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Telemedicine with advanced communication technology in management of type 2 diabetes mellitus: a network meta-analysis

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International Journal of Diabetes in Developing Countries Aims and scope Submit manuscript

Abstract

Background

Type 2 diabetes mellitus has risen to one of the most common chronic diseases worldwide, which puts heavy pressure on patients and the health-care system. Self-management is an important treatment for type 2 diabetes. New self-management treatments have been making great progress with the development of the advanced telemedicine.

Objective

The purpose of this study is to gauge and examine the blood glucose control of various self-management strategies through a network meta-analysis.

Methods

We search the articles through PubMed, Cochrane library, MEDLINE, and EMBASE databases to seek out randomized controlled trials, and the primary outcome was the change in HbA1c from baseline. This meta-analysis was conducted to compare different kinds of self-management methods, applying Revman 5.3, Stata 14.0 software, and GeMTC 0.14.3.

Results

Thirty-five studies were included, consisting of 5554 type 2 diabetes mellitus patients and 4 interventions including computer-based self-management, telephone-based self-management, telemonitoring self-management, and usual care of clinic. In addition to performance bias, the risk of bias of included studies was low. In network meta-analysis, the computer-based self-management has the highest probability to be the most effective way in diabetes self-management treatments.

Conclusion

In conclusion, computer-based, telephone-based, and telemonitoring self-management methods are effective self-management methods for type 2 diabetes mellitus. The computer-based self-management method was the most effective compared to the other two self-management methods.

Clinical trial registration

The detailed protocol was registered in PROSPERO (https://www.crd.york.ac.uk/PROSPERO). Registration number was CRD42020186839.

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References

  1. Meigs JB, Cagliero E, Dubey A, Murphy-Sheehy P, Gildesgame C, Chueh H, Barry MJ, Singer DE, Nathan DM. A controlled trial of web-based diabetes disease management: the MGH diabetes primary care improvement project. Diabetes Care. 2003;26:750–7.

    Article  PubMed  Google Scholar 

  2. Izquierdo R, Lagua CT, Meyer S, Ploutz-Snyder RJ, Palmas W, Eimicke JP, Kong J, Teresi JA, Shea S, Weinstock RS. Telemedicine intervention effects on waist circumference and body mass index in the IDEATel project. Diabetes Technol Ther. 2010;12:213–20.

    Article  PubMed  Google Scholar 

  3. Alva ML, Gray A, Mihaylova B, Leal J, Holman RR. The impact of diabetes-related complications on healthcare costs: new results from the UKPDS (UKPDS 84). Diabetic Med : J British Diabetic Assoc. 2015;32:459–66.

    Article  CAS  Google Scholar 

  4. Dias S, Welton NJ, Sutton AJ, Caldwell DM, Lu G, Ades AE. Evidence synthesis for decision making 4: inconsistency in networks of evidence based on randomized controlled trials. Med Decis Mak. 2013;33:641–56.

    Article  Google Scholar 

  5. Wu X, Guo X, Zhang Z. The efficacy of mobile phone apps for lifestyle modification in diabetes: systematic review and meta-analysis. JMIR mHealth uHealth. 2019;7:e12297.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Dario C, Toffanin R, Calcaterra F, Saccavini C, Stafylas P, Mancin S, Vio E. Telemonitoring of type 2 diabetes mellitus in Italy. Telemed J e-health :Off J Am Telemed Assoc. 2017;23:143–52.

    Article  Google Scholar 

  7. Educators, A. A. o. D. Intensive diabetes management: implications of the DCCT and UKPDS, The Diabetes educator. 2002, 28, 735-740.

  8. Rouleau G, Gagnon MP, Côté J, Payne-Gagnon J, Hudson E, Dubois CA. Impact of information and communication technologies on nursing care: results of an overview of systematic reviews. J Med Internet Res. 2017;19:e122.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Mills EJ, Thorlund K, Ioannidis JP. Demystifying trial networks and network meta-analysis. Bmj. 2013;346:f2914.

    Article  PubMed  Google Scholar 

  10. Peters JL, Sutton AJ, Jones DR, Abrams KR, Rushton L. Contour-enhanced meta-analysis funnel plots help distinguish publication bias from other causes of asymmetry. J Clin Epidemiol. 2008;61:991–6.

    Article  PubMed  Google Scholar 

  11. Cho JH, Chang SA, Kwon HS, Choi YH, Ko SH, Moon SD, Yoo SJ, Song KH, Son HS, Kim HS, Lee WC, Cha BY, Son HY, Yoon KH. Long-term effect of the internet-based glucose monitoring system on HbA1c reduction and glucose stability: a 30-month follow-up study for diabetes management with a ubiquitous medical care system. Diabetes Care. 2006;29:2625–31.

    Article  PubMed  Google Scholar 

  12. Dobler A, Herbeck Belnap B, Pollmann H, Farin E, Raspe H, Mittag O. Telephone-delivered lifestyle support with action planning and motivational interviewing techniques to improve rehabilitation outcomes. Rehab Psychol. 2018;63:170–81.

    Article  Google Scholar 

  13. Faridi Z, Liberti L, Shuval K, Northrup V, Ali A, Katz DL. Evaluating the impact of mobile telephone technology on type 2 diabetic patients’ self-management: the NICHE pilot study. J Eval Clin Pract. 2008;14:465–9.

    Article  PubMed  Google Scholar 

  14. Fortmann AL, Gallo LC, Garcia MI, Taleb M, Euyoque JA, Clark T, Skidmore J, Ruiz M, Dharkar-Surber S, Schultz J, Philis-Tsimikas A. Dulce digital: an mHealth SMS-based intervention improves glycemic control in Hispanics with type 2 diabetes. Diabetes Care. 2017;40:1349–55.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Kleinman NJ, Shah A, Shah S, Phatak S, Viswanathan V. Impact of the gather mHealth system on A1C: primary results of a multisite randomized clinical trial among people with type 2 diabetes in India. Diabetes Care. 2016;39:e169–70.

    Article  PubMed  Google Scholar 

  16. McMahon GT, Fonda SJ, Gomes HE, Alexis G, Conlin PR. A randomized comparison of online- and telephone-based care management with internet training alone in adult patients with poorly controlled type 2 diabetes. Diabetes Technol Ther. 2012;14:1060–7.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Pressman AR, Kinoshita L, Kirk S, Barbosa GM, Chou C, Minkoff J. A novel telemonitoring device for improving diabetes control: protocol and results from a randomized clinical trial. Telemed J e-health :Off J Am Telemed Assoc. 2014;20:109–14.

    Article  Google Scholar 

  18. Sun C, Sun L, Xi S, Zhang H, Wang H, Feng Y, Deng Y, Wang H, Xiao X, Wang G, Gao Y, Wang G. Mobile phone-based telemedicine practice in older chinese patients with type 2 diabetes mellitus: randomized controlled trial. JMIR mHealth uHealth. 2019;7:e10664.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Tang PC, Overhage JM, Chan AS, Brown NL, Aghighi B, Entwistle MP, Hui SL, Hyde SM, Klieman LH, Mitchell CJ, Perkins AJ, Qureshi LS, Waltimyer TA, Winters LJ, Young CY. Online disease management of diabetes: engaging and motivating patients online with enhanced resources-diabetes (EMPOWER-D), a randomized controlled trial. J Am Med Inform Assoc : JAMIA. 2013;20:526–34.

    Article  PubMed  Google Scholar 

  20. Stone RA, Rao RH, Sevick MA, Cheng C, Hough LJ, Macpherson DS, Franko CM, Anglin RA, Obrosky DS, DeRubertis FR. Active care management supported by home telemonitoring in veterans with type 2 diabetes: the DiaTel randomized controlled trial. Diabetes Care. 2010;33:478–84.

    Article  PubMed  Google Scholar 

  21. Vinitha R, Nanditha A, Snehalatha C, Satheesh K, Susairaj P, Raghavan A, Ramachandran A. Effectiveness of mobile phone text messaging in improving glycaemic control among persons with newly detected type 2 diabetes. Diabetes Res Clin Pract. 2019;158:107919.

    Article  PubMed  Google Scholar 

  22. Wang Y, Li M, Zhao X, Pan X, Lu M, Lu J, Hu Y. Effects of continuous care for patients with type 2 diabetes using mobile health application: a randomised controlled trial. Int J Health Plann Manag. 2019;34:1025–35.

    Article  Google Scholar 

  23. Wild SH, Hanley J, Lewis SC, McKnight JA, McCloughan LB, Padfield PL, Parker RA, Paterson M, Pinnock H, Sheikh A, McKinstry B. Supported telemonitoring and glycemic control in people with type 2 diabetes: the telescot diabetes pragmatic multicenter randomized controlled trial. PLoS Med. 2016;13:e1002098.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Yoo HJ, Park MS, Kim TN, et al. A ubiquitous chronic disease care system using cellular phones and the internet. Diabetic med :J British Diabetic Assoc. 2009;26:628–35.

    Article  CAS  Google Scholar 

  25. Zhou P, Xu L, Liu X, Huang J, Xu W, Chen W. Web-based telemedicine for management of type 2 diabetes through glucose uploads: a randomized controlled trial. Int J Clin Exp Pathol. 2014;7:8848–54.

    PubMed  PubMed Central  Google Scholar 

  26. Cho JH, Kim H-S, Yoo SH, Jung CH, Lee WJ, Park CY, Yang HK, Park JY, Park SW, Yoon KH. An internet-based health gateway device for interactive communication and automatic data uploading: clinical efficacy for type 2 diabetes in a multi-Centre trial. J Telemed Telecare. 2017;23:595–604.

    Article  PubMed  Google Scholar 

  27. Hansel B, Giral P, Gambotti L, Lafourcade A, Peres G, Filipecki C, Kadouch D, Hartemann A, Oppert JM, Bruckert E, Marre M, Bruneel A, Duchene E, Roussel R. A fully automated web-based program improves lifestyle habits and HbA1c in patients with type 2 diabetes and abdominal obesity: randomized trial of patient e-coaching nutritional support (the ANODE study). J Med Internet Res. 2017;19:e360.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Jeong JY, Jeon J-H, Bae K-H, Choi YK, Park KG, Kim JG, Won KC, Cha BS, Ahn CW, Kim DW, Lee CH, Lee IK. Smart care based on telemonitoring and telemedicine for type 2 diabetes care: multi-center randomized controlled trial. Telemed J e-health : Off J Am Telemed Assoc. 2018;24:604–13.

    Article  Google Scholar 

  29. Kwon H-S, Cho J-H, Kim H-S, Song BR, Ko SH, Lee JM, Kim SR, Chang SA, Kim HS, Cha BY, Lee KW, Son HY, Lee JH, Lee WC, Yoon KH. Establishment of blood glucose monitoring system using the internet. Diabetes Care. 2004;27:478–83.

    Article  PubMed  Google Scholar 

  30. Avdal EU, Kizilci S, Demirel N. The effects of web-based diabetes education on diabetes care results: a randomized control study. CIN Comp Informs Nursing. 2011;29:101–6.

    Article  Google Scholar 

  31. Cho J-H, Choi Y-H, Kim H-S, Lee J-H, Yoon K-H. Effectiveness and safety of a glucose data-filtering system with automatic response software to reduce the physician workload in managing type 2 diabetes. J Telemed Telecare. 2011;17:257–62.

    Article  PubMed  Google Scholar 

  32. Duruturk N, Ozkoslu MA. Effect of tele-rehabilitation on glucose control, exercise capacity, physical fitness, muscle strength and psychosocial status in patients with type 2 diabetes: a double blind randomized controlled trial. Primary Care diabet. 2019;13:542–8.

    Article  Google Scholar 

  33. Kim CJ, Kang DH. Utility of a web-based intervention for individuals with type 2 diabetes: the impact on physical activity levels and glycemic control. CIN Comput Inform Nursing. 2006;24:337–45.

    Article  Google Scholar 

  34. Kim HS, Sun C, Yang SJ, Sun L, Li F, Choi IY, Cho JH, Wang G, Yoon KH. Randomized, open-label, parallel group study to evaluate the effect of internet-based glucose management system on subjects with diabetes in China. Telemed J e health : Off J Am Telemed Assoc. 2016;22:666–74.

    Article  Google Scholar 

  35. Nicolucci A, Cercone S, Chiriatti A, Muscas F, Gensini G, on behalf of the REMOTE Study Group. A randomized trial on home telemonitoring for the management of metabolic and cardiovascular risk in patients with type 2 diabetes. Diab Technol Therapeutics. 2015;17:563–70.

    Article  CAS  Google Scholar 

  36. Crowley MJ, Edelman D, McAndrew AT, Kistler S, Danus S, Webb JA, Zanga J, Sanders LL, Coffman CJ, Jackson GL, Bosworth HB. Practical telemedicine for veterans with persistently poor diabetes control: a randomized pilot trial. Telemed J E Health. 2016;22:376–84.

    Article  PubMed  Google Scholar 

  37. Kempf K, Altpeter B, Berger J, Reuß O, Fuchs M, Schneider M, Gärtner B, Niedermeier K, Martin S. Efficacy of the telemedical lifestyle intervention program TeLiPro in advanced stages of type 2 diabetes: a randomized controlled trial. Diabetes Care. 2017;40:863–71.

    Article  CAS  PubMed  Google Scholar 

  38. Anzaldo-Campos MC, Contreras S, Vargas-Ojeda A, Menchaca-Díaz R, Fortmann A, Philis-Tsimikas A. Dulce wireless Tijuana: a randomized control trial evaluating the impact of project dulce and short-term mobile technology on glycemic control in a family medicine clinic in Northern Mexico. Diabetes Technol Therapeutics. 2016;18:240–51.

    Article  Google Scholar 

  39. Bujnowska-Fedak MM, Puchała E, Steciwko A. The impact of telehome care on health status and quality of life among patients with diabetes in a primary care setting in Poland. Telemed J E Health. 2011;17:153–63.

    Article  PubMed  Google Scholar 

  40. Wakefield BJ, Koopman RJ, Keplinger LE, Bomar M, Bernt B, Johanning JL, Kruse RL, Davis JW, Wakefield DS, Mehr DR. Effect of home telemonitoring on glycemic and blood pressure control in primary care clinic patients with diabetes. Telemed J E Health. 2014;20:199–205.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Xu R, Xing M, Javaherian K, Peters R, Ross W, Bernal-Mizrachi C. Improving HbA1c with glucose self-monitoring in diabetic patients with EpxDiabetes, a phone call and text message-based telemedicine platform: a randomized controlled trial. Telemed J E Health. 2019;26:784–93. https://doi.org/10.1089/tmj.2019.0035.

    Article  PubMed  Google Scholar 

  42. Yu Y, Yan Q, Li H, Li H, Wang L, Wang H, Zhang Y, Xu L, Tang Z, Yan X, Chen Y, He H, Chen J, Feng B. Effects of mobile phone application combined with or without self-monitoring of blood glucose on glycemic control in patients with diabetes: a randomized controlled trial. J Diabetes Invest. 2019;10:1365–71.

    Article  CAS  Google Scholar 

  43. Wang G, Zhang Z, Feng Y, Sun L, Xiao X, Wang G, Gao Y, Wang H, Zhang H, Deng Y, Sun C. Telemedicine in the management of type 2 diabetes mellitus. Am J Med Sci. 2017;353:1–5.

    Article  PubMed  Google Scholar 

  44. Davis RM, Hitch AD, Salaam MM, Herman WH, Zimmer-Galler IE, Mayer-Davis EJ. TeleHealth improves diabetes self-management in an underserved community: diabetes TeleCare. Diabetes Care. 2010;33:1712–7.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Ades AE, Sculpher M, Sutton A, Abrams K, Cooper N, Welton N, Lu G. Bayesian methods for evidence synthesis in cost-effectiveness analysis. PharmacoEconomics. 2006;24:1–19.

    Article  CAS  PubMed  Google Scholar 

  46. Chen L, Cheng L, Gao W, Chen D, Wang C, Ran X. Telemedicine in chronic wound management: systematic review and meta-analysis. JMIR mHealth uHealth. 2020;8:e15574.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Agarwal P, Mukerji G, Desveaux L, Ivers NM, Bhattacharyya O, Hensel JM, Shaw J, Bouck Z, Jamieson T, Onabajo N, Cooper M, Marani H, Jeffs L, Bhatia RS. Mobile app for improved self-management of type 2 diabetes: multicenter pragmatic randomized controlled trial. JMIR mHealth uHealth. 2019;7:e10321.

    Article  PubMed  PubMed Central  Google Scholar 

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Zhang, J., Liu, X., Wei, L. et al. Telemedicine with advanced communication technology in management of type 2 diabetes mellitus: a network meta-analysis. Int J Diabetes Dev Ctries 43, 338–346 (2023). https://doi.org/10.1007/s13410-022-01115-x

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