Wearable monitoring device based on an internet management platform improves metabolic parameters in type 2 diabetes patients: a prospective pilot study

References

• 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2022. Diabetes Care. 2022;45(Suppl 1):S17–s38. doi: 10.2337/dc22-S002
   PubMed Web of Science ®Google Scholar
• Sun H, Saeedi P, Karuranga S, et al. IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabet Res Clin Pract. 2022;183:109119. doi: 10.1016/j.diabres.2021.109119
   PubMed Web of Science ®Google Scholar
• Tomic D, Shaw JE, Magliano DJ. The burden and risks of emerging complications of diabetes mellitus. Nat Rev Endocrinol. 2022;18(9):525–539. doi: 10.1038/s41574-022-00690-7
   PubMed Web of Science ®Google Scholar
• [Clinical guidelines for prevention and treatment of type 2 diabetes mellitus in the elderly in China (2022 edition). Zhonghua Nei Ke Za Zhi. 2022;61(1):12–50. doi: 10.3760/cma.j.cn112138-20211027-00751
   PubMedGoogle Scholar
• Stratton IM, Adler AI, Neil HA, et al. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ. 2000;321(7258):405–412. doi: 10.1136/bmj.321.7258.405
   PubMed Web of Science ®Google Scholar
• Gaede P, Vedel P, Larsen N, et al. Multifactorial intervention and cardiovascular disease in patients with type 2 diabetes. N Engl J Med. 2003;348(5):383–393. doi: 10.1056/NEJMoa021778
   PubMed Web of Science ®Google Scholar
• Gaede P, Lund-Andersen H, Parving HH, et al. Effect of a multifactorial intervention on mortality in type 2 diabetes. N Engl J Med. 2008;358(6):580–591. doi: 10.1056/NEJMoa0706245
   PubMed Web of Science ®Google Scholar
• Oellgaard J, Gæde P, Rossing P, et al. Intensified multifactorial intervention in type 2 diabetics with microalbuminuria leads to long-term renal benefits. Kidney Int. 2017;91(4):982–988. doi: 10.1016/j.kint.2016.11.023
   PubMed Web of Science ®Google Scholar
• Cai X, Hu D, Pan C, et al. The risk factors of glycemic control, blood pressure control, lipid control in Chinese patients with newly diagnosed type 2 diabetes _ a nationwide prospective cohort study. Sci Rep. 2019;9(1):7709. doi: 10.1038/s41598-019-44169-4
   PubMedGoogle Scholar
• Wu W, Haick H. Materials and wearable devices for autonomous monitoring of physiological markers. Advanced Materials (Deerfield Beach, Fla). 2018;30(41):e1705024. doi: 10.1002/adma.201705024
   PubMed Web of Science ®Google Scholar
• Lu L, Zhang J, Xie Y, et al. Wearable health devices in health care: narrative systematic review. JMIR mHealth and uHealth. 2020;8(11):e18907. doi: 10.2196/18907
   PubMed Web of Science ®Google Scholar
• Staite E, Bayley A, Al-Ozairi E, et al. A wearable technology delivering a web-based diabetes prevention program to people at high risk of type 2 diabetes: randomized controlled trial. JMIR mHealth and uHealth. 2020;8(7):e15448. doi: 10.2196/15448
   PubMed Web of Science ®Google Scholar
• von Storch K, Graaf E, Wunderlich M, et al. Telemedicine-assisted self-management program for type 2 diabetes patients. Diabetes Technol Ther. 2019;21(9):514–521. doi: 10.1089/dia.2019.0056
   PubMed Web of Science ®Google Scholar
• Luo J, Zhang K, Xu Y, et al. Effectiveness of wearable device-based intervention on glycemic control in patients with type 2 diabetes: a system review and meta-analysis. J Med Syst. 2021;46(1):11. doi: 10.1007/s10916-021-01797-6
   PubMed Web of Science ®Google Scholar
• Logan AG, Irvine MJ, McIsaac WJ, et al. Effect of home blood pressure telemonitoring with self-care support on uncontrolled systolic hypertension in diabetics. Hypertension. 2012;60(1):51–57. doi: 10.1161/HYPERTENSIONAHA.111.188409
   PubMed Web of Science ®Google Scholar
• Yang W, Zhang X, Chen J, et al. Effects of internet-based interventions on improvement of glycemic control and self-management in older adults with diabetes: Systematic review and meta-analysis. Prim Care Diabetes. 2022;16(4):475–483. doi: 10.1016/j.pcd.2022.05.004
   PubMed Web of Science ®Google Scholar
• Chan JCN, Thewjitcharoen Y, Nguyen TK, et al. Effect of a web-based management guide on risk factors in patients with type 2 diabetes and diabetic kidney disease: A JADE randomized clinical trial. JAMA Netw Open. 2022;5(3):e223862. doi: 10.1001/jamanetworkopen.2022.3862
   PubMed Web of Science ®Google Scholar
• Welch G, Zagarins SE, Santiago-Kelly P, et al. An internet-based diabetes management platform improves team care and outcomes in an urban Latino population. Diabetes Care. 2015;38(4):561–567. doi: 10.2337/dc14-1412
   PubMed Web of Science ®Google Scholar
• Fiani M, Dutilloy A, Ariza M, et al. Effects of a therapeutic patient education network on the glycated hemoglobin and body mass index in 59 patients with type 2 diabetes mellitus: A retrospective study from 2013 to 2018. Phys Activity Health. 2021;5(1):229–235. doi: 10.5334/paah.130
   Google Scholar
• Minh HV, Tien HA, Sinh CT, et al. Assessment of preferred methods to measure insulin resistance in Asian patients with hypertension. J Clin Hypertens (Greenwich). 2021;23(3):529–537. doi: 10.1111/jch.14155
   PubMed Web of Science ®Google Scholar
• Huang YF, Yang KH, Chen SH, et al. Practice guideline for patients with hyperuricemia/gout. Zhonghua Nei Ke Za Zhi. 2020;59(7):519–527. doi: 10.3760/cma.j.cn112138-20200505-00449
   PubMedGoogle Scholar
• Wildevuur SE, Simonse LW. Information and communication technology–enabled person-centered care for the “Big Five” chronic conditions: scoping review. J Med Internet Res. 2015;17(3):e77. doi: 10.2196/jmir.3687
   PubMed Web of Science ®Google Scholar
• de Jong CC, Ros WJ, Schrijvers G. The effects on health behavior and health outcomes of Internet-based asynchronous communication between health providers and patients with a chronic condition: a systematic review. J Med Internet Res. 2014;16(1):e19. doi: 10.2196/jmir.3000
   PubMed Web of Science ®Google Scholar
• Calvache-Mateo A, López-López L, Heredia-Ciuró A, et al. Efficacy of web-based supportive interventions in quality of life in COPD patients, a systematic review and meta-analysis. Int J Environ Res Public Health. 2021;18(23):12692. doi: 10.3390/ijerph182312692
   PubMed Web of Science ®Google Scholar
• Coorey G, Peiris D, Scaria A, et al. An internet-based intervention for cardiovascular disease management integrated with primary care electronic health records: mixed methods evaluation of implementation fidelity and user engagement. J Med Internet Res. 2021;23(4):e25333. doi: 10.2196/25333
   PubMed Web of Science ®Google Scholar
• Weiner M, Callahan CM, Tierney WM, et al. Using information technology to improve the health care of older adults. Ann Intern Med. 2003;139(5 Pt 2):430–436. doi: 10.7326/0003-4819-139-5_Part_2-200309021-00010
   PubMed Web of Science ®Google Scholar
• Wu Y, Yao X, Vespasiani G, et al. Mobile app-based interventions to support diabetes self-management: a systematic review of randomized controlled trials to identify functions associated with glycemic efficacy. JMIR mHealth and uHealth. 2017;5(3):e35. doi: 10.2196/mhealth.6522
   PubMed Web of Science ®Google Scholar
• Yang Y, Lee EY, Kim HS, et al. Effect of a mobile phone–based glucose-monitoring and feedback system for type 2 diabetes management in multiple primary care clinic settings: cluster randomized controlled trial. JMIR mHealth and uHealth. 2020;8(2):e16266. doi: 10.2196/16266
   PubMed Web of Science ®Google Scholar
• Murray E, Sweeting M, Dack C, et al. Web-based self-management support for people with type 2 diabetes (HeLP-Diabetes): randomised controlled trial in English primary care. BMJ Open. 2017;7(9):e016009. doi: 10.1136/bmjopen-2017-016009
   PubMedGoogle Scholar
• Cui M, Wu X, Mao J, et al. T2DM self-management via smartphone applications: a systematic review and meta-analysis. PLoS One. 2016;11(11):e0166718. doi: 10.1371/journal.pone.0166718
   PubMed Web of Science ®Google Scholar
• Tanaka N, Yabe D, Murotani K, et al. Effects of physician’s diabetes self-management education using Japan Association of Diabetes Education and Care Diabetes Education Card System Program and a self-monitoring of blood glucose readings analyzer in individuals with type 2 diabetes: An exploratory, open-labeled, prospective randomized clinical trial. J Diabetes Investig. 2021;12(12):2221–2231. doi: 10.1111/jdi.13607
   PubMed Web of Science ®Google Scholar
• McLeod M, Stanley J, Signal V, et al. Impact of a comprehensive digital health programme on HbA(1c) and weight after 12 months for people with diabetes and prediabetes: a randomised controlled trial. Diabetologia. 2020;63(12):2559–2570. doi: 10.1007/s00125-020-05261-x
   PubMed Web of Science ®Google Scholar
• Caruso R, Rebora P, Luciani M, et al. Sex-related differences in self-care behaviors of adults with type 2 diabetes mellitus. Endocrine. 2020;67(2):354–362. doi: 10.1007/s12020-020-02189-5
   PubMed Web of Science ®Google Scholar
• Cuevas HE, Brown SA, García AA, et al. Blood glucose self-monitoring patterns in Mexican Americans: further lessons from the Starr County Border Health Initiative. Diabetes Technol Ther. 2015;17(2):105–111. doi: 10.1089/dia.2014.0147
   PubMed Web of Science ®Google Scholar
• Lee PA, Greenfield G, Pappas Y. The impact of telehealth remote patient monitoring on glycemic control in type 2 diabetes: a systematic review and meta-analysis of systematic reviews of randomised controlled trials. BMC Health Serv Res. 2018;18(1):495. doi: 10.1186/s12913-018-3274-8
   PubMedGoogle Scholar
• Huang Z, Tao H, Meng Q, et al. Management of endocrine disease. Effects of telecare intervention on glycemic control in type 2 diabetes: a systematic review and meta-analysis of randomized controlled trials. Eur J Endocrinol. 2015;172(3):R93–101. doi: 10.1530/EJE-14-0441
   PubMed Web of Science ®Google Scholar
• Tildesley HD, Po MD, Ross SA. Internet blood glucose monitoring systems provide lasting glycemic benefit in type 1 and 2 diabetes: a systematic review. Med Clin North Am. 2015;99(1):17–33. doi: 10.1016/j.mcna.2014.08.019
   PubMed Web of Science ®Google Scholar
• Ji L, Su Q, Feng B, et al. Glycemic control and self-monitoring of blood glucose in Chinese patients with type 2 diabetes on insulin: Baseline results from the COMPASS study. Diabet Res Clin Pract. 2016;112:82–87. doi: 10.1016/j.diabres.2015.08.005
   PubMed Web of Science ®Google Scholar
• Bloomgarden ZT. Insulin resistance, dyslipidemia, and cardiovascular disease. Diabetes Care. 2007;30(8):2164–2170. doi: 10.2337/dc07-zb08
   PubMed Web of Science ®Google Scholar
• Fahed G, Aoun L, Bou Zerdan M, et al. Metabolic syndrome: updates on pathophysiology and management in 2021. Int J Mol Sci. 2022;23(2):786. doi: 10.3390/ijms23020786
   PubMed Web of Science ®Google Scholar
• Lee SH, Han K, Yang HK, et al. A novel criterion for identifying metabolically obese but normal weight individuals using the product of triglycerides and glucose. Nutr Diabetes. 2015;5(4):e149. doi: 10.1038/nutd.2014.46
   PubMed Web of Science ®Google Scholar