1.
International Diabetes Federation . IDF Diabetes Atlas, 9th ed. Brussels: IDF, 2019. p. 39.
https://www.diabetesatlas.org Google Scholar2.
Anjana, RM, Deepa, M, Pradeepa, R, et al. Prevalence of diabetes and prediabetes in 15 states of India: results from the ICMR-INDIAB population-based cross-sectional study. Lancet Diabetes Endocrinol 2017; 5: 585–596.
Google Scholar |
Crossref |
Medline3.
Tandon, N, Anjana, RM, Mohan, V, et al. The increasing burden of diabetes and variations among the states of India: the Global Burden of Disease Study 1990-2016. Lancet Glob Heal 2018; 6: e1352–e1362.
Google Scholar |
Crossref |
Medline4.
Unnikrishnan, R, Anjana, RM, Deepa, M, et al. Glycemic control among individuals with self-reported diabetes in India—the ICMR-INDIAB study. Diabetes Technol Ther 2014; 16: 596–603.
Google Scholar |
Crossref |
Medline5.
Mohan, V, Shah, SN, Joshi, SR, et al. Current status of management, control, complications and psychosocial aspects of patients with diabetes in India: results from the DiabCare India 2011 Study. Indian J Endocrinol Metab 2014; 18: 370–378.
Google Scholar |
Crossref |
Medline6.
Kaufman, N, Khurana, I. Using digital health technology to prevent and treat diabetes. Diabetes Technol Ther 2016; 18(Suppl. 1): S56–S68.
Google Scholar |
Crossref |
Medline7.
Blonde, L . Current challenges in diabetes management. Clin Cornerstone 2005; 7(Suppl. 3): S6–S17.
Google Scholar |
Crossref |
Medline8.
Dang, A, Arora, D, Rane, P. Role of digital therapeutics and the changing future of healthcare. J Family Med Prim Care 2020; 9: 2207–2213.
Google Scholar |
Crossref |
Medline9.
Phillip, M, Bergenstal, RM, Close, KL, et al. The digital/virtual diabetes clinic: the future is now-recommendations from an international panel on diabetes digital technologies introduction. Diabetes Technol Ther 2021; 23: 146–154.
Google Scholar |
Crossref |
Medline10.
Kesavadev, J, Ramachandran, L, Krishnan, G. Glucose monitoring technologies—complementary or competitive? Role of continuous glucose monitoring versus flash glucose monitoring versus self-monitoring of blood glucose. J Diabetol 2017; 8: 61–67.
Google Scholar |
Crossref11.
Kesavadev, J, Srinivasan, S, Saboo, B, et al. The do-it-yourself artificial pancreas: a comprehensive review. Diabetes Ther 2020; 11: 1217–1235.
Google Scholar |
Crossref |
Medline12.
Ministry of Health & Family Welfare Government of India . National digital health blueprint, 2019,
https://www.nhp.gov.in/NHPfiles/National_Digital_Health_Blueprint_Report_comments_invited.pdf Google Scholar13.
Grant, MJ, Booth, A. A typology of reviews: an analysis of 14 review types and associated methodologies. Health Info Libr J 2009; 26: 91–108.
Google Scholar |
Crossref |
Medline14.
Mohan, V, Jain, S, Kesavadev, J, et al. Use of retrospective continuous glucose monitoring for optimizing management of type 2 diabetes in India. J Assoc Physicians India 2016; 64: 16–21
Google Scholar15.
Cappon, G, Vettoretti, M, Sparacino, G, et al. Continuous glucose monitoring sensors for diabetes management: a review of technologies and applications. Diabetes Metab J 2019; 43: 383–397.
Google Scholar |
Crossref |
Medline16.
Abbott . First of its kind diabetes technology revolutionizes how glucose data is collected and analyzed for people in India, 2015,
https://abbott.mediaroom.com/2015-04-02-First-of-its-Kind-Diabetes-Technology-Revolutionizes-How-Glucose-Data-is-Collected-and-Analyzed-for-People-in-India (accessed 10 September 2020).
Google Scholar17.
Anderson, SM, Dassau, E, Raghinaru, D, et al. The international diabetes closed-loop study: testing artificial pancreas component interoperability. Diabetes Technol Ther 2019; 21: 73–80.
Google Scholar |
Crossref |
Medline18.
Kim, H-S, Yoon, K-H. Lessons from use of continuous glucose monitoring systems in digital healthcare. Endocrinol Metab (Seoul) 2020; 35: 541–548.
Google Scholar |
Crossref |
Medline19.
Kesavadev, J, Vigersky, R, Shin, J, et al. Assessing the therapeutic utility of professional continuous glucose monitoring in type 2 diabetes across various therapies: a retrospective evaluation. Adv Ther 2017; 34: 1918–1927.
Google Scholar |
Crossref |
Medline20.
Anjana, RM, Kesavadev, J, Neeta, D, et al. A multicenter real-life study on the effect of flash glucose monitoring on glycemic control in patients with type 1 and type 2 diabetes. Diabetes Technol Ther 2017; 19: 533–540.
Google Scholar |
Crossref |
Medline21.
Saboo, B, Sheth, SV, Joshi, S, et al. Use of ambulatory glucose profile for improving monitoring and management of T2DM. J Assoc Physicians India 2018; 66: 69–71.
Google Scholar |
Medline22.
Shivaprasad, C, Gautham, K, Shah, K, et al. Continuous glucose monitoring for the detection of hypoglycemia in patients with diabetes of the exocrine pancreas. J Diabetes Sci Technol. Epub ahead of print 1 December 2020. DOI:
10.1177/1932296820974748.
Google Scholar |
SAGE Journals23.
Varghese, JS, Ho, JC, Anjana, RM, et al. Profiles of intra-day glucose in Type 2 Diabetes and their association with complications: an analysis of continuous glucose monitoring data. Diabetes Technol Ther 2021; 23: 555–564.
Google Scholar |
Crossref |
Medline24.
Jain, AB . Glycemic improvement with a novel interim intervention technique using retrospective professional continuous glucose monitoring (GLITTER study): a study from Mumbai, India. Diabetes Metab Syndr 2021; 15: 703–709.
Google Scholar |
Crossref |
Medline25.
Shamanna, P, Saboo, B, Damodharan, S, et al. Reducing HbA1c in type 2 diabetes using digital twin technology-enabled precision nutrition: a retrospective analysis. Diabetes Ther 2020; 11: 2703–2714.
Google Scholar |
Crossref |
Medline26.
Kesavadev, J, Krishnan, G. From insulin pumps to artificial pancreas: Indian experience over 12 years. Kerala Med J 2016; 9: 105–110.
Google Scholar27.
Kesavadev, J, Balakrishnan, S, Ahammed, S, et al. Reduction of glycosylated hemoglobin following 6 months of continuous subcutaneous insulin infusion in an Indian population with type 2 diabetes. Diabetes Technol Ther 2009; 11: 517–521.
Google Scholar |
Crossref |
Medline28.
Sudhakaran, C, Anjana, RM, Rao, K, et al. Role of continuous subcutaneous insulin infusion in patients with recalcitrant diabetes in South India. Diabetes Technol Ther 2009; 11: 733–737.
Google Scholar |
Crossref |
Medline29.
Ghazanfar, H, Rizvi, SW, Khurram, A, et al. Impact of insulin pump on quality of life of diabetic patients. Indian J Endocrinol Metab 2016; 20: 506–511.
Google Scholar |
Crossref |
Medline30.
Kesavadev, J, Shankar, A, Sadasrian Pillai, PB, et al. CSII as an alternative therapeutic strategy for managing type 2 diabetes: adding the Indian experience to a global perspective. Curr Diabetes Rev 2016; 12: 312–314.
Google Scholar |
Crossref |
Medline31.
Swaminathan, K, Mukhekar, V, Cohen, O. Breaking socioeconomic barriers in diabetes technologies: outcomes of a pilot insulin pump programme for the underprivileged in rural India. Indian J Endocrinol Metab 2019; 23: 242–245.
Google Scholar |
Crossref |
Medline32.
Kesavadev, J, Saboo, B, Kar, P, et al. DIY artificial pancreas: a narrative of the first patient and the physicians’ experiences from India. Diabetes Metab Syndr 2021; 15: 615–620.
Google Scholar |
Crossref |
Medline33.
Unnikrishnan, R, Sharma, N, Mohan, V, et al. Technology in the management of diabetes mellitus. J Diabetol 2018; 9: 3–11.
Google Scholar |
Crossref34.
Anjana, RM, Pradeepa, R, Deepa, M, et al. Acceptability and utilization of newer technologies and effects on glycemic control in type 2 diabetes: lessons learned from lockdown. Diabetes Technol Ther 2020; 22: 527–534.
Google Scholar |
Crossref |
Medline35.
Ministry of Health Family Welfare . Telemedicine practice guidelines enabling registered medical practitioners to provide healthcare using telemedicine, 2020,
https://www.mohfw.gov.in/pdf/Telemedicine.pdf Google Scholar36.
Pradeepa, R, Rajalakshmi, R, Mohan, V. Use of telemedicine technologies in diabetes prevention and control in resource-constrained settings: lessons learned from emerging economies. Diabetes Technol Ther 2019; 21(S2): S29–S216.
Google Scholar |
Crossref |
Medline37.
Mohan, V, Prathiba, V, Pradeepa, R. Tele-diabetology to screen for diabetes and associated complications in rural India: The Chunampet Rural Diabetes Prevention Project Model. J Diabetes Sci Technol 2014; 8: 256–261.
Google Scholar |
SAGE Journals38.
Mohan, V, Pradeepa, R. Telemedicine in diabetes care: in rural India, a new prevention project seeks to fill in the screening gap. IEEE Pulse 2014; 5: 22–25.
Google Scholar |
Crossref |
Medline39.
Kesavadev, J, Saboo, B, Shankar, A, et al. Telemedicine for diabetes care: an Indian perspective—feasibility and efficacy. Indian J Endocrinol Metab 2015; 19: 764–769.
Google Scholar |
Crossref |
Medline40.
Kesavadev, J, Shankar, A, Pillai, PBS, et al. Cost-effective use of telemedicine and self-monitoring of blood glucose via Diabetes Tele Management System (DTMS) to achieve target glycosylated hemoglobin values without serious symptomatic hypoglycemia in 1,000 subjects with type 2 diabetes mellitus—a retrospective study. Diabetes Technol Ther 2012; 14: 772–776.
Google Scholar |
Crossref |
Medline41.
Dash, SP . The impact of IoT in healthcare: global technological change & the roadmap to a networked architecture in India. J Indian Inst Sci 2020; 100: 773–785.
Google Scholar |
Crossref42.
Ghosh, A, Gupta, R, Misra, A. Telemedicine for diabetes care in India during COVID19 pandemic and national lockdown period: guidelines for physicians. Diabetes Metab Syndr Clin Res Rev 2020; 14: 273–276.
Google Scholar |
Crossref |
Medline43.
Kesavadev, J . Using telemedicine and remote monitoring for diabetes during covid-19: the Indian experience. Diabetes Technol Ther 2021; 23: A–1.
Google Scholar |
Medline44.
Kesavadev, J, Basanth, A, Krishnan, G, et al. A new interventional home care model for COVID management: virtual Covid IP. Diabetes Metab Syndr 2021; 15: 102228.
Google Scholar |
Crossref |
Medline45.
Deepa, M, Shruti, M, Mohan, V. Chapter 1—reducing the global burden of diabetes using mobile health. In: Klonoff, DC, Kerr, D (eds) Mulvaney SABT-DDH. Amsterdam: Elsevier, 2020, pp. 3–23.
Google Scholar46.
Pfammatter, A, Spring, B, Saligram, N, et al. mHealth intervention to improve diabetes risk behaviors in India: a prospective, parallel group cohort study. J Med Internet Res 2016; 18: e207.
Google Scholar |
Crossref |
Medline47.
Ranjani, H, Nitika, S, Anjana, R, et al. Impact of noncommunicable disease text messages delivered via an app in preventing and managing lifestyle diseases: results of the myArogya worksite-based effectiveness study from India. J Diabetol 2020; 11: 90–100.
Google Scholar48.
Muralidharan, S, Mohan, V, Anjana, RM, et al. Mobile health technology (mDiab) for the prevention of type 2 diabetes: protocol for a randomized controlled trial. JMIR Res Protoc 2017; 6: e242.
Google Scholar |
Crossref |
Medline49.
Muralidharan, S, Ranjani, H, Mohan Anjana, R, et al. Engagement and weight loss: results from the mobile health and diabetes trial. Diabetes Technol Ther 2019; 21: 507–513.
Google Scholar |
Crossref |
Medline50.
Agarwal, N, Biswas, B. Doctor consultation through mobile applications in India: an overview, challenges and the way forward. Healthc Inform Res 2020; 26: 153–158.
Google Scholar |
Crossref |
Medline51.
Wikipedia . List of countries by smartphone penetration, 2021,
https://en.wikipedia.org/wiki/List_of_countries_by_smartphone_penetration (accessed 10 August 2021).
Google Scholar52.
Madhu, SV, Neelaveni, K, Pitale, S, et al. Basal insulin titration: moving towards a more patient-centric approach with Gla-100 in India. J Assoc Physicians India 2020; 68: 38–42.
Google Scholar |
Medline53.
Davies, M, Bain, S, Charpentier, G, et al. A randomized controlled, treat-to-target study evaluating the efficacy and safety of insulin glargine 300 U/mL (Gla-300) administered using either device-supported or routine titration in people with type 2 diabetes. J Diabetes Sci Technol 2019; 13: 881–889.
留言 (0)