Telemedicine-Enabled Blood Glucose Monitoring as an Effective Strategy for Reducing Hypoglycaemia Risk in Diabetes
DOI:
https://doi.org/10.56294/mw2023135Keywords:
Telemedicine, BG monitoring, Glycated hemoglobin (HbA1c), Digital health technologies, Glycemic controlAbstract
Hypoglycaemia remains an important hazard in Diabetes Mellitus (DM) management, causing severe health problems and reduced Quality of Life (QoL). Traditional monitoring systems often need the concurrent response essential to efficiently mitigate hypoglycaemic incidents. Telemedicine-enabled Blood Glucose (BG) monitoring incorporates innovative technology with remote healthcare access, offering an advanced solution for enhancing glycemic outcomes. The research evaluates the influence of telemedicine-enabled BG monitoring on reducing hypo-glycaemia risk, glycemic variability, and improving overall diabetes management effects. A total of 83 individuals with DMT1 and DMT2 are included. Participants are split into two cohorts: the intervention cohort utilized telemedicine-enabled constant glucose monitoring methods, while the control cohort employed standard monitoring techniques. The intervention included concurrent data sharing, tele-consultations, and modified suggestions. Statistical analyses incorporated regression and Analysis of Variance (ANOVA) to estimate the effects of hypoglycaemia frequency, glycated hemoglobin (HbA1c) levels, and glycemic variability. The intervention cohort established a significant decrease in hypoglycaemic incidents (p < 0.05) and enhanced glycemic constancy compared to the control cohort. HbA1c levels illustrated notable enhancement, and observance to treatment procedures superior in the telemedicine cohort. Participants also reported improved satisfaction and self-reliance in managing their diabetes. Telemedicine-enabled BG monitoring efficiently reduces hypoglycaemia threat and improves glycemic outcome, observance, and patient confidence. This system provides a hopeful pathway for recovering diabetes management and recovering QoL.
References
1. Sheemar A, Soni D, Takkar B, Basu S, Venkatesh P. Inflammatory mediators in diabetic retinopathy: Deriving clinicopathological correlations for potential targeted therapy. Indian Journal of Ophthalmology. 2021 Nov 1;69(11):3035-49. https://doi.org/10.4103/ijo.IJO_1326_21
2. Castillo‐Reinado K, Maier W, Holle R, Stahl‐Pehe A, Baechle C, Kuss O, Hermann J, Holl RW, Rosenbauer J. Associations of area deprivation and urban/rural traits with the incidence of type 1 diabetes: analysis at the municipality level in North Rhine‐Westphalia, Germany. Diabetic Medicine. 2020 Dec;37(12):2089-97. https://doi.org/10.1111/dme.14258
3. Sia HK, Kor CT, Tu ST, Liao PY, Wang JY. Self-monitoring of blood glucose in association with glycemic control in newly diagnosed non-insulin-treated diabetes patients: a retrospective cohort study. Scientific Reports. 2021 Jan 13;11(1):1176. https://doi.org/10.1038/s41598-021-81024-x
4. Jankowska-Polańska B, Świątoniowska-Lonc N, Karniej P, Polański J, Tański W, Grochans E. Influential factors in adherence to the therapeutic regime in patients with type 2 diabetes and hypertension. Diabetes research and clinical practice. 2021 Mar 1;173:108693. https://doi.org/10.1016/j.diabres.2021.108693
5. Reach G, Pellan M, Crine A, Touboul C, Ciocca A, Djoudi Y. Holistic psychosocial determinants of adherence to medication in people with type 2 diabetes. Diabetes & metabolism. 2018 Dec 1;44(6):500-7. https://doi.org/10.1016/j.diabet.2018.06.001
6. Guerci B, Chanan N, Kaur S, Jasso-Mosqueda JG, Lew E. Lack of treatment persistence and treatment nonadherence as barriers to glycaemic control in patients with type 2 diabetes. Diabetes Therapy. 2019 Apr;10(2):437-49. https://doi.org/10.1007/s13300-019-0590-x
7. Pereira MG, Pedras S, Ferreira G, Machado JC. Differences, predictors, and moderators of therapeutic adherence in patients recently diagnosed with type 2 diabetes. Journal of Health Psychology. 2020 Oct;25(12):1871-81. https://doi.org/10.1177/1359105318780505
8. Signal V, McLeod M, Stanley J, Stairmand J, Sukumaran N, Thompson DM, Henderson K, Davies C, Krebs J, Dowell A, Grainger R. A Mobile-and web-based health intervention program for diabetes and prediabetes self-management (BetaMe/Melon): process evaluation following a randomized controlled trial. Journal of Medical Internet Research. 2020 Dec 1;22(12):e19150. https://doi.org/10.2196/19150
9. Hatcher-Martin JM, Adams JL, Anderson ER, Bove R, Burrus TM, Chehrenama M, Dolan O'Brien M, Eliashiv DS, Erten-Lyons D, Giesser BS, Moo LR. Telemedicine in neurology: telemedicine work group of the American Academy of Neurology update. Neurology. 2020 Jan 7;94(1):30-8. https://doi.org/10.1212/WNL.0000000000008708
10. Staite E, Bayley A, Al-Ozairi E, Stewart K, Hopkins D, Rundle J, Basudev N, Mohamedali Z, Ismail K. 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 Jul 15;8(7):e15448.https://doi.org/10.2196/15448
11. Parsons SN, Luzio SD, Harvey JN, Bain SC, Cheung WY, Watkins A, Owens DR. Effect of structured self‐monitoring of blood glucose, with and without additional TeleCare support, on overall glycaemic control in non‐insulin treated Type 2 diabetes: the SMBG Study, a 12‐month randomized controlled trial. Diabetic Medicine. 2019 May;36(5):578-90. https://doi.org/10.1111/dme.13899
12. Montero AR, Toro-Tobon D, Gann K, Nassar CM, Youssef GA, Magee MF. Implications of remote monitoring Technology in Optimizing Traditional Self-Monitoring of blood glucose in adults with T2DM in primary care. BMC endocrine disorders. 2021 Dec;21:1-8. https://doi.org/10.1186/s12902-021-00884-6
13. 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. Telemedicine and e-Health. 2020 Jun 1;26(6):784-93. https://doi.org/10.1089/tmj.2019.0035
14. Lin J, Li X, Jiang S, Ma X, Yang Y, Zhou Z. Utilizing Technology‐Enabled Intervention to Improve Blood Glucose Self‐Management Outcome in Type 2 Diabetic Patients Initiated on Insulin Therapy: A Retrospective Real‐World Study. International Journal of Endocrinology. 2020;2020(1):7249782. https://doi.org/10.1155/2020/7249782
15. Goh KL, Lee CS, Koh CH, Ling NL, Ang SB, Oh C, Lin Y, Yuan W, Zheng QC, Tan NC. Evaluating the effectiveness and utility of a novel culturally-adapted telemonitoring system in improving the glycaemic control of Asians with type-2 diabetes mellitus: a mixed method study protocol. Trials. 2021 Dec;22:1-0. https://doi.org/10.1186/s13063-021-05240-6
16. Wang X, Luo JF, Qi L, Long Q, Guo J, Wang HH. Adherence to self-monitoring of blood glucose in Chinese patients with type 2 diabetes: current status and influential factors based on electronic questionnaires. Patient Preference and Adherence. 2019 Jul 25:1269-82. https://doi.org/10.2147/PPA.S211668
17. Lee JY, Chan CK, Chua SS, Ng CJ, Paraidathathu T, Lee KK, Lee SW. Telemonitoring and team-based management of glycemic control on people with type 2 diabetes: a cluster-randomized controlled trial. Journal of general internal medicine. 2020 Jan;35:87-94. https://doi.org/10.1007/s11606-019-05316-9
18. Ku EJ, Park JI, Jeon HJ, Oh T, Choi HJ. Clinical efficacy and plausibility of a smartphone‐based integrated online real‐time diabetes care system via glucose and diet data management: a pilot study. Internal medicine journal. 2020 Dec;50(12):1524-32.https://doi.org/10.1111/imj.14738.
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Copyright (c) 2023 Jaya Bhanu Kanwar , Uzma Noor Shah , Sachet Dawar (Author)
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