Exploring the viability of newer technologies in care and management of tribal diabetes and metabolic syndrome in India
DOI:
https://doi.org/10.18203/2320-6012.ijrms20240865Keywords:
Newer technology, Diabetes management, Tribe, India, Metabolic syndromeAbstract
With the advancements of digitalization technology in health sector, diabetes care and management have also experienced modifications and betterment. Various newer technologies cater to the individual conditions and needs and provide a personalized treatment. Device based technologies such as continuous glucose monitoring (CGM) linked to closed loop insulin delivery system, insulin pumps, wearable devices linked with mobile apps have made the self-management of diabetes possible on regular basis. In its contrast, the technologies are yet to reach the tribal settings of India, and also very challenging to implement. Studies have shown that the scenario of diabetes prevalence in Indian tribal population is as crucial as urban population. Also, land alienation, lack of health management infrastructure, low connectivity, technological challenges add up to their condition. While various technologies are challenging to implement due to electricity, network connectivity, infrastructure and storage facilities, some technologies can be implemented easily with the joint approach of primary health care staff, governmental and non-governmental organizations and people with diabetes themselves. Digitization of data is needed as it will give a clearer picture of the prevalence, provide easy access for the follow ups and easier to implement intervention-based technologies. The situation demands a tailored multifaceted approach for implementing the technological based remedies in tribal settings of India as it will increase the quality of life in these areas.
References
Mohan V, Sandeep S, Deepa R, Shah B, Varghese C. Epidemiology of type 2 diabetes: Indian scenario. Indian J Med Res. 2007;125(3):217-30.
Pradeepa R, Mohan V. Epidemiology of type 2 diabetes in India. Indian J Ophthalmol. 2021;69(11):2932-8.
Anjana RM, Unnikrishnan R, Deepa M, Pradeepa R, Tandon N, Das AK, et al. Metabolic non-communicable disease health report of India: the ICMR-INDIAB national cross-sectional study (ICMR-INDIAB-17). Lancet Diabetes Endocrinol. 2023;11(7):474-89.
Shriraam V, Mahadevan S, Arumugam P. Prevalence and Risk Factors of Diabetes, Hypertension and Other Non-Communicable Diseases in a Tribal Population in South India. Indian J Endocrinol Metab. 2021;25(4):313-9.
World Health Organization. WHO factsheet on diabetes. Available at: https://www.who.int/newsroom/factsheets/detail/diabetes#:~:text=Key%20facts,stroke%20and%20lower%20limb%20amputation.Accessed on 12 December 2023.
Unnikrishnan R, Anjana RM, Mohan V. Diabetes mellitus and its complications in India. Nat Rev Endocrinol. 2016;12(6):357-70.
Sherwood JS, Russell SJ, Putman MS. New and Emerging Technologies in Type 1 Diabetes. Endocrinol Metab Clin North Am. 2020;49(4):667-78.
Templer S. Closed-Loop Insulin Delivery Systems: Past, Present, and Future Directions. Front Endocrinol. 2022;13:919942.
Kesavadev J, Krishnan G, Mohan V. Digital health and diabetes: experience from India. Ther Adv Endocrinol Metab. 2021;12:20420188211054676.
Pichardo-Lowden A, Umpierrez G, Lehman EB, Bolton MD, DeFlitch CJ, Chinchilli VM, et al. Clinical decision support to improve management of diabetes and dysglycemia in the hospital: a path to optimizing practice and outcomes. BMJ Open Diabetes Res Care. 2021;9(1):e001557.
Gopalan HS, Haque I, Ahmad S, Gaur A, Misra A. "Diabetes care at doorsteps": A customised mobile van for the prevention, screening, detection and management of diabetes in the urban underprivileged populations of Delhi. Diabetes Metab Syndr. 2019;13(6):3105-12.
Shrivastava S. Can Telemedicine Be a Game Changer for Diabetes Management Among Tribal Populations? J Diabetes Sci Technol. 2021;15(5):1192-4.
Okan O, Messer M, Levin-Zamir D, Paakkari L, Sørensen K. Health literacy as a social vaccine in the COVID-19 pandemic. Health Promot Int. 2023;38(4):daab197.
Sarveswaran G, Rangamani S, Ghosh A, Bhansali A, Dharmalingam M, Unnikrishnan AG, et al. Management of diabetes mellitus through teleconsultation during COVID-19 and similar scenarios - Guidelines from Indian Council of Medical Research (ICMR) expert group. Diabetes Metab Syndr. 2021;15(5):102242.
Bonnefond A, Philippe J, Durand E, Muller J, Saeed S, Arslan M, et al. Highly sensitive diagnosis of 43 monogenic forms of diabetes or obesity through one-step PCR-based enrichment in combination with next-generation sequencing. Diabetes Care. 2014;37(2):460-7.
Franceschi R. Precision Medicine in Diabetes, Current Research and Future Perspectives. J Personalized Med. 2022;12(8).
Maltoni G, Franceschi R, Di Natale V, Al-Qaisi R, Greco V, Bertorelli R, De Sanctis V, Quattrone A, Mantovani V, Cauvin V, Zucchini S. Next Generation Sequencing Analysis of MODY-X Patients: A Case Report Series. J Pers Med. 2022;12(10):1613.
Cheng Y, Wang H, Li M. The promise of CRISPR/Cas9 technology in diabetes mellitus therapy: How gene editing is revolutionizing diabetes research and treatment. J Diabetes Complications. 2023;37(8):108524.
Li H, Yang Y, Hong W, Huang M, Wu M, Zhao X. Applications of genome editing technology in the targeted therapy of human diseases: mechanisms, advances, and prospects. Signal Transduction Targeted Therap. 2021;5(1):1.
DiSanto RM, Subramanian V, Gu Z. Recent advances in nanotechnology for diabetes treatment. Wiley Interdisciplinary Rev Nanomed Nanobiotechnol. 2015;7(4):548-64.
Zhang Y, Zhao H, Liu B, Shu H, Zhang L, Bao M, et al. Human serum metabolomic analysis reveals progression for high blood pressure in type 2 diabetes mellitus. BMJ Open Diabetes Res Care. 2021;9(1):e002337.
Basu S, Sharma N. Diabetes self-care in primary health facilities in India - challenges and the way forward. World J Diabetes. 2019;10(6):341-9.
Venkatesan M, Dongre AR, Ganapathy K. A Community-Based Study on Diabetes Medication Nonadherence and its Risk Factors in Rural Tamil Nadu. Indian J Community Med. 2018;43(2):72-6.
Rural Health Statistics. 2015. Available at: http://wcd.nic.in/sites/default/files/RHS_1.pdf. Accessed on 24 May 2023.
Mohan D, Raj D, Shanthirani CS, Datta M, Unwin NC, Kapur A, Mohan V. Awareness and knowledge of diabetes in Chennai--the Chennai Urban Rural Epidemiology Study [CURES-9]. J Assoc Physicians India. 2005;53:283-7.
Census. Literacy in India. https://www.census2011.co.in/literacy.php. Accessed on 24 May 2023.
Sandiford P, Cassel J, Montenegro M, Sanchez G. The Impact of Women's Literacy on Child Health and Its Interaction with Access to Health Services. Population Studies. 1995;49(1):5-17.
Abbas Q, Latif S, Ayaz Habib H, Shahzad S, Sarwar U, Shahzadi M, et al. Cognitive behavior therapy for diabetes distress, depression, health anxiety, quality of life and treatment adherence among patients with type-II diabetes mellitus: a randomized control trial. BMC Psychiatry. 2023;23(1):86.
Jindal D, Sharma H, Gupta Y, Ajay VS, Roy A, Sharma R, et al. Improving care for hypertension and diabetes in India by addition of clinical decision support system and task shifting in the national NCD program: I-TREC model of care. BMC Health Services Res. 2022;22(1):688.
Shrivastva S, Chakma T, Das A, Verma AK. Digitisation and realtime sharing of unified surveillance tool and clinicopathological data for efficient management of disease outbreaks. Int J Health Plann Manage. 2021;36(4):1352-4.
Karan A, Negandhi H, Nair R, Sharma A, Tiwari R, Zodpey S. Size, composition and distribution of human resource for health in India: new estimates using National Sample Survey and Registry data. BMJ Open. 2019;9(4):e025979.
Singh K, Chakma T, Shrivastava S. Type 1 Diabetes Management Among Tribes: How Virtual Group Appointments Approach May Be Beneficial. J Diabetes Sci Technol. 2023;17(4):1121-2.
Galaviz KI, Narayan KMV, Lobelo F, Weber MB. Lifestyle and the Prevention of Type 2 Diabetes: A Status Report. Am J Lifestyle Med. 2015;12(1):4-20.
Kesavadev J, Mohan V. Reducing the Cost of Diabetes Care with Telemedicine, Smartphone, and Home Monitoring. J Indian Inst Sci. 2023;103:231-42.
Sherr JL, Heinemann L, Fleming GA, Bergenstal RM, Bruttomesso D, Hanaire H, et al. Automated insulin delivery: benefits, challenges, and recommendations. A Consensus Report of the Joint Diabetes Technology Working Group of the European Association for the Study of Diabetes and the American Diabetes Association. Diabetologia. 2023;66(1):3-22.
