Secondary Logo

Journal Logo

Review Article

Digital Health Services among Patients with Diabetes during the COVID-19 Pandemic

A Scoping Review

Purnamayanti, Ni K. D.; Wicaksana, Anggi L.1,2,

Author Information
Indian Journal of Endocrinology and Metabolism: March–April 2021 - Volume 25 - Issue 2 - p 86-91
doi: 10.4103/ijem.ijem_153_21
  • Open



The massive disruption in the world caused by the COVID-19 pandemic brought a significant impact among the noncommunicable disease (NCD) patients. One of the sustainable development goals (SDGs) targeted by the World Health Organization (WHO) is the reduction of premature death before the age of seventy. There is a probability that this goal cannot be successfully reached due to the global COVID-19 pandemic.[1] Data from the recent study in Italy revealed that hospitalized COVID-19 patients had hypertension (64,8%), cardiovascular disease (37,7%) and malignant neoplasm (13,6%),[2] another study also emphasized 30% mortality rate of COVID-19 Italy is related to diabetes as comorbid.[3] However, during the period of 31 March to 23 April 2020, there were 47 countries that have switched their diabetes care services into the virtual model.[4] It is a considerable challenge for health-care provider in the low-middle-income countries to deal with the new approach in delivering services during the pandemic. Limited resources such as financial reimbursement system, Information and Communication Technology (ICT) health standard, and national health policy, are considered not able to fit all countries’ condition in reshaping the future of health delivery service.[5]

Diabetes as a pre-existing condition, which can lead to the worst clinical outcome among COVID-19 patients.[6] The pathophysiological mechanism is related to short-term hyperglycemia inhibits the immune system, increases coagulation activities and direct pancreatic islet cell injury.[7] Another review highlights the poor outcome, which occurs among COVID-19 patients with diabetes comorbidity. It is related to multifactorial aspects such as age, sex, ethnicity, comorbidities (i.e., Hypertension and cardiovascular diseases, obesity, and a pro-inflammatory and pro-coagulated state).[8] There are three predictors of COVID-19 fatality among diabetes patients related to blood glucose such as glycemic control prior to admission, plasma glucose during admission, and glycemic control in hospital. Type 1 diabetes (T1D) or type 2 diabetes (T2D) patients with HbA1c more than 86 mmol/mol (10%) have higher risk of mortality compared with those who have HbA1c less than 48 mmol/mol (6.5%).[9] Hyperglycemia at hospital admission is also the best predictor of the worst chest radiographic imaging results on COVID-19 patients.[10] During hospitalization, the cytokine storm could trigger acute diabetes complication such as ketoacidosis and hyperosmolar syndrome.[11] Additionally, this acute condition increase the risk of thrombosis which makes the COVID-19 infection even worsen.[12]

Regarding the current pandemic situation, people with diabetes need timely integrated interventions to enhance the self-care management and to get the supportive education and medical supplies.[13] Diabetes patients and families should be well equipped to deal with dietary adherence, regular exercise, stress management, medication adherence, and routine blood glucose monitoring.[614] Regular medication should be continued and the insulin dose may require a consultation. On the other hand, COVID-19 pandemic resulted in limited access to health care facilities, including the communication between patients and health care providers. An online or virtual approach should be conducted to reduce face-to-face consultation.[6] There are many terminologies that are interchangeable such as telehealth and telemedicine[15] and it seems to be applicable for diabetes education during the COVID-19 pandemic.[6] Telehealth is a broader spectrum of distance health care services, including telemedicine, tele-education, and teletherapy.[16] Telemedicine includes specific diagnostic and monitoring using remote monitoring, video conference for physical examination, or medical test using remote devices (i.e., electronic stethoscopes, tele-ophthalmoscopes, video otoscopes, etc.).[17] Tele-education includes delivering information to the learner using synchronized or unsynchronized method in the form of text, audio, or video mode.[18] Teletherapy means replacement or complement of clinical treatment by increasing the access to the health provider who can guide the clinical practice from the distance such as by conducting teletherapy for aphasia among stroke patient.[19] A digital health services include the use of health information technology, telehealth, and medical apps and wearable devices.[20] The limited information on the application of digital health services among patients with diabetes requires a new knowledge for this point of view. Thus, the aim of this study was to explore the recent approach of digital health services among diabetic patients during COVID-19 pandemic.


Study design

A scoping review was applied to collect the broader information of the latest evidence about the digital health services for diabetes patients.[21] The methodological framework for scoping review consisted of 5 stages; identify the research question; identify relevant studies; study selection; extracting the data; summarizing, and reporting the data.[622]

Searching strategy

Literature searching was conducted in three electronic databases; PubMed, ScienceDirect, and Google Scholar, from August 28 to September 14, 2020. The keywords and Boolean operators were used as below: diabetes AND digital service OR telemedicine OR technology AND COVID-19. The inclusion criteria of the study were defined as scientific publications in English such as original research and reviews, and starting from early 2020, when the COVID-19 occurred. The commentary reports, letters to editor, and conference abstracts will be excluded.

Identification and selection the articles

At the beginning, the duplicated items were removed and then, the articles were screened by its title and abstract. The eligibility was determined using inclusion and exclusion criteria. All in all, there were 6 articles included for qualitative review [Figure 1]. All the steps were guided by using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standard.

Figure 1
Figure 1:
The flow chart for a scoping review

Data extraction

The selected articles were gathered in a worksheet table. Data extraction was compiled based on author, country, research design, research finding, and other specific considerations.

Summarizing the finding

All the included articles were summarized on the table of extraction. It contents the authors, titles, study designs, settings, results, and specific finding of practical consideration. Practical consideration was added to explore further information to enrich the effectiveness of digital health services for diabetes management during the self-confinement of COVID-19 pandemic. Methodological characteristics of the articles evaluated quantitatively and presented in percentage Table 1.

Table 1
Table 1:
Summary of the articles


Characteristic of the articles

The included articles were published in the Diabetes Technology and Therapeutics (50%, n = 3), the Diabetes and Metabolic Syndrome: Clinical Research and Reviews (33,33%, n = 2) and Acta Diabetologica (16,67%, n = 1). The majority of included articles are from the USA. Half of the findings (50%, n = 3) discussed about the use of CGM through virtual education approach. Other recommendations were the need of advanced telemedicine among limited skills on digital use for patients and accessibility of Internet. Most articles (66, 67%, n = 4) presented the vulnerable diabetes patients who may experience emergency complication such as hypoglycemia or ketoacidosis. Thus, closed observation and consultation to understand the CGM data were required. The articles from India[23] and Brazil[25] highlighted the alternative of telemedicine using simple communication tools such as television, radio, or social media that can access widely. One article suggests the use of teleservice in a specific domain of diabetes management.

Data extraction of the articles

Summary of the findings was available in Table 1. The table covered the information about authors, title, research design, results, specific findings and practical consideration for the included articles.


Minimal standard of digital health services for diabetes care

Development of digital health implies that in dealing with diabetes there is a demand to establish a standard as guidance. Standard of digital health technology should fulfill aspects of functionality, contextually, effectiveness, and economic efficiency.[28] Level of evidence in functional aspects divided into three levels. Level 1 is noticed when there is no direct user benefit such as electronic health records that can be connected to the wards and emergency room. Level 2 is noticed when the information related to healthy living and illness prevention behaviors is provided. At this level, digital health service may provide information; do monitoring, and conduct two ways communication. Level 3A refers to the use of digital health service in preventing and managing diseases by self-management behavior with measurable patient’s outcome. Level 3B, which the most advanced medical device takes role in treating, activating, monitoring, calculating and diagnosing the patient. In summary classification of digital health technology described in Table 2.[28]

Table 2
Table 2:
Framework of Digital Health Technology (NICE, 2019)

Besides functional aspects, contextual aspects should also be contemplated among the vulnerable population such as children and elderly who have limited digital literation. Adding to that, digital health service should provide factual information and clinical judgment to prevent misdiagnosis. This approach could support health care professional deliver their practical treatment.[29] Hence, to anticipate the contextual issue even in low digital skill of patient, legal and ethical consideration of digital health service should be declared by the national government in the following country. It also relates to economic consideration when the higher level functional digital health service the higher cost should be spent to cover the budget impact, cost utility, and cost consequences.[30]

Validating digital health products requires a complex domain which is time-consuming during its development process. There are 4 domains to construct the rigor of digital health known as digital health scorecard.[31] The first domain is technical to ensure the precision of the device of the digital product as valid as the gold standard of clinical examination. Technical validation was also constructed by security and interoperability aspects. The examples of technical validation of CGM in diabetes management that the device could check the blood glucose accurately, easily transfer to the health care provider, safely encrypted and provide data privacy for the patient.[32] The second is clinical aspect to make sure the digital health product feasible in real-world settings. In this stage, there will be critical appraisal of the simulation to determine a true clinical judgment.[33] An example of clinical validation in diabetes mobile apps using Mobile App Rating Scale (MARS) scoring to determine whether the application is good acceptable or poor acceptable.[34] The third domain is usability, to define when the feature of digital health met the needs of consumers (diabetes patients or health care providers). The best example of usability validation in CGM is calculation of high and low glucose scores, user’s experiences, and patch attachment adherence.[35] The last domain is about the cost or amount of price that consumers should pay to get access to a digital health service or product. In some diabetes apps, it is low cost and somehow it is free of charge. In the beginning, advanced technology such as CGM devices will be quite expensive. In future, this cost will be paid congruence with a better quality of care.[36]

Besides the complexity of digital health scorecard, The New Zealand’s government releases the minimum requirement of digital, data, and service.[37] In general, digital health service should obey the Health Information Standards Organization (HISO) standards, roadmaps and architecture guidelines. About the security aspects, digital health service should follow the guidance of Health Information Security Framework and Cloud Risk Assessment framework. However, the data should be easily accessed and shared to the authorization stakeholder. The vision of enhancing digital health as a global strategy supported by WHO was explained in a draft shaping the future 2020–2025.[38]

Implementing digital health service during endless COVID-19 pandemic is essential. Reshaping formal health services into digital is an urgent need to replace a regular clinic or hospital visit for patients with diabetes. In future, digital health services could save and adjust cost and health care resource-related diabetes consultation. In the countries with limited resources, as the majority of study findings, highlighted the use of digital health level 2. Even with a simple technology could provide a good telehealth system for diabetes. A simple telediabetology could be developed, including observation or screening, documentation and intervention.[39] For observation or screening the scenario is to prepare the hotline services that reachable by patients with diabetes for critical decision making or clinic appointment. Regular visit could be replaced by private consultation through video mode to increase trust between patients and health care providers. It is important that informed consent should be delivered and keep the patient’s data privacy.[6] Collecting the data using mobile apps is feasible and make the data more readable.[40] If the apps is not available, the consent could be sent through email and refer the patient to fill form in a link. Telediabetology using phone, email or apps also beneficial for decision making, therapy adjustment, and lifestyle intervention. Individually, health care providers promote personal case management for teleconsultation. For instance, patients may share their results of blood glucose measurement to physicians as evidence to adjust the diabetic medications or insulin doses. Patients with advanced CGM can share their blood glucose charts directly from the smartphone. Intervention to enhance self-management through diabetes education could be conducted by group intervention. Familiar social media such as WhatsApp®, WeChat®, and Line® are useful. WhatsApps® group was effective as a media for intensive diabetes education by involving 203 diabetes patients in Brazil.[41] Educational intervention through Line® was also indicated promising diabetes outcome such as body mass index, insulin demand, and HbA1c among 193 adolescents with T1D in Italy.[42] In China, WeChat® has been widely used for chronic disease management not only diabetes but also hypertension, cancer and coronary disease.[43]

The use of digital health among the finding articles

Regarding the research finding, there was a gap between developed and developing countries. Based on the article, the use of WhatsApp® and Face time® among diabetes patients during the pandemic was classified in level 2 of digital health technology.[28] It allowed two ways communication between patients/families and health care providers, to inform the patients about general condition and simple monitoring through the video mode feature. That was done even though the current national guideline in India mentioned that the treatment judgment should be based on face-to-face meeting.[23] Finding in Brazil illustrates the use of phone calls as the simplest approach of digital health suitable for a low literacy population such as elderly meanwhile it was combined with health promotion on the television, radio and social media. The approach of phone calls can help health care providers in delivering simple information about the current health issue of COVID-19. The use of phone calls is classified in Level 2.[28]

The use of digital health technology in the USA among diabetes patients was familiar. Among T1D patients, the used of CGM to monitor real-time blood glucose and adjust the current dose of insulin was effective to prevent the acute complication such as diabetes ketoacidosis (DKA).[44] The use of CGM with synchronized data sharing makes diabetes educators and clinicians easy to make decisions and fix the patient’s problem during the pandemic. This wearable equipment classified at level 3B because it could empower patients and families. The patients and family can do active monitoring, recording the glycemic status day by day, transmit the data to the healthcare, and do early specific diagnosis by reminder feature of hypoglycemia and hyperglycemia alarm.[45]


This review highlighted the broader scope of digital health services among diabetes patients during the COVID-19 pandemic. Some articles explicitly did not provide information about the methodology of research. One article did not explicitly provide the study design and two articles did not inform the number of samples. One article just mentioned very limited samples (n = 2) in case report study. Level 2 of digital health using video mode in social media such as Face time or WhatsApp® is not a formal health system, which cannot guarantee the data security or the cloud management acquisition. The challenge in developing rigor and pragmatic digital health service is predicted to be time-consuming, involving an exhausted collaboration, and would need a sufficient amount of funding.


This review highlighted the summary of digital health services for diabetes patients during the COVID-19 pandemic. The health care providers and policy makers could use this review as a summary of recommended health delivery care to facilitate diabetic patients during the crisis period of COVID-19. Patients and families may consider this review to advocate their needs of health care access during self-confinement.

Authors’ contribution statement

NKDP and ALW designed the study method. NKDP was responsible for articles searching, screening, selection, and process of eligibility checking. ALW contributed in assessing the eligibility of the studies. The first draft of the manuscript was written by NKDP and then ALW reviewed the manuscript. All authors agreed and were responsible for the publication.

Financial support and sponsorship


Conflicts of interest

There are no conflicts of interest.


The authors would express the gratitude to Putu Ayu Yunita Yastini for her contribution to proofread this manuscript.


1. United Nation. COVID-19 impact on treatment for chronic illness revealed. Available from: accessed on 2020 Sep 22
2. Ciardullo S, Zerbini F, Perra S, Muraca E, Cannistraci R, Lauriola M, et al Impact of diabetes on COVID-19-related in-hospital mortality:A retrospective study from Northern Italy J Endocrinol Invest. 2021;44:843–50
3. Gentile S, Strollo F, Ceriello A. COVID-19 infection in Italian people with diabetes:Lessons learned for our future (an experience to be used) Diabetes Res Clin Pract. 2020;162:108137
4. Chudasama YV, Gillies CL, Zaccardi F, Coles B, Davies MJ, Seidu S, et al Impact of COVID-19 on routine care for chronic diseases:A global survey of views from healthcare professionals Diabetes Metab Syndr Clin Res Rev. 2020;14:965–7
5. Caetano R, Silva AB, Guedes ACCM, Paiva CCN, Ribeiro GDR, Santos DL, et al Challenges and opportunities for telehealth during the COVID-19 pandemic:Ideas on spaces and initiatives in the Brazilian context Cad Saude Publica 2020. 2020;36:1–16
6. Wicaksana AL, Hertanti NS, Ferdiana A, Pramono RB. Diabetes management and specific considerations for patients with diabetes during coronavirus diseases pandemic:A scoping review Diabetes Metab Syndr Clin Res Rev. 2020;14:1109–20
7. Bode B, Garrett V, Messler J, McFarland R, Crowe J, Booth R, et al Glycemic characteristics and clinical outcomes of COVID-19 patients hospitalized in the United States J Diabetes Sci Technol. 2020;14:813–21
8. Apicella M, Campopiano MC, Mantuano M, Mazoni L, Coppelli A, Del Prato S. COVID-19 in people with diabetes:Understanding the reasons for worse outcomes Lancet Diabetes Endocrinol. 2020;8:782–92
9. Holman N, Knighton P, Kar P, O'Keefe J, Curley M, Weaver A, et al Risk factors for COVID-19-related mortality in people with type 1 and type 2 diabetes in England:A population-based cohort study Lancet Diabetes Endocrinol. 2020;8:823–33
10. Iacobellis G, Penaherrera CA, Bermudez LE, Bernal Mizrachi E. Admission hyperglycemia and radiological findings of SARS-CoV2 in patients with and without diabetes Diabetes Res Clin Pract. 2020;164:108185
11. Kim NY, Ha E, Moon JS, Lee YH, Choi EY. Acute hyperglycemic crises with coronavirus disease-19:Case reports Diabetes Metab J. 2020;44:484–5
12. Rayman G, Lumb A, Kennon B, Cottrell C, Nagi D, Page E, et al Guidance on the management of diabetic ketoacidosis in the exceptional circumstances of the COVID-19 pandemic Diabet Med. 2020;37:1214–6
13. Mukona DM, Zvinavashe M. Self- management of diabetes mellitus during the Covid-19 pandemic:Recommendations for a resource limited setting Diabetes Metab Syndr Clin Res Rev. 2020;14:1575–8
14. Katulanda P, Dissanayake HA, Ranathunga I, Ratnasamy V, Wijewickrama PSA, Yogendranathan N, et al Prevention and management of COVID-19 among patients with diabetes:An appraisal of the literature Diabetologia. 2020;63:1440–52
15. Weinstein RS, Krupinski EA, Doarn CR. Clinical examination component of telemedicine, telehealth, mHealth, and connected health medical practices Med Clin North Am. 2018;102:533–44
16. White LE, Krousel-Wood MA, Mather F. Technology meets healthcare:Distance learning and telehealth Ochsner J. 2001;3:22–9
17. Stowe S, Harding S. Telecare, telehealth and telemedicine Eur Geriatr Med. 2010;1:193–7
18. Curran VR. Education and practice Lancet. 1949;254:1137–8
19. Dial HR, Hinshelwood HA, Grasso SM, Hubbard HI, Gorno-Tempini ML, Henry ML. Investigating the utility of teletherapy in individuals with primary progressive aphasia Clin Interv Aging. 2019;14:453–71
20. Draft global strategy on digital health 2020 – 2020.
21. Sucharew H, Macaluso M. Methods for research evidence synthesis:The scoping review approach J Hosp Med. 2019;14:416–8
22. Arksey H, O'Malley L. Scoping studies:Towards a methodological framework Int J Soc Res Methodol Theory Pract. 2005;8:19–32
23. Ghosh A, Gupta R, Misra A. Telemedicine for diabetes care in India during COVID-19 pandemic and national lockdown period:Guidelines for physicians Diabetes Metab Syndr. 2020;14:273–6
24. Peters AL, Garg SK. The silver lining to COVID-19:Avoiding diabetic ketoacidosis admissions with telehealth Diabetes Technol Ther. 2020;22:449–53
25. de Lima Filho BF, Bessa NPOS, Fernandes ACT, da Silva Patrício ÍF, de Oliveira Alves N, da Costa Cavalcanti FA. Knowledge levels among elderly people with Diabetes Mellitus concerning COVID-19:An educational intervention via a teleservice Acta Diabetol. 2021;58:19–24
26. Vigersky RA, Velado K, Zhong A, Agrawal P, Cordero TL. The effectiveness of virtual training on the minimed 670 g system in people with type 1 diabetes during the COVID-19 Pandemic Diabetes Technol Ther. 2020;2020:1–19
    27. Panzirer D. Role of non-profit organizations during COVID-19 for diabetes care:Health care inequities and role of virtual specialty clinic Diabetes Technol Ther. 2020;22:440–3
    28. National Institute for Health and Care Excellence. Evidence standards framework for digital health Technologies. Available from: 2019
    29. Darrel MG Strategies for digital care of vulnerable patients in a COVID-19 world—keeping in touch. Available from: accessed on 2020 Nov 18
    30. Alami H, Gagnon M-P, Fortin J-P. Digital health and the challenge of health systems transformation Mhealth. 2017;3:31
    31. Mathews SC, McShea MJ, Hanley CL, Ravitz A, Labrique AB, Cohen AB. Digital health:A path to validation NPJ Digit Med. 2019;2:1–9
    32. Petrie JR, Peters AL, Bergenstal RM, Holl RW, Fleming GA, Heinemann L. Improving the clinical value and utility of CGM systems:issues and recommendations:A joint statement of the European Association for the Study of Diabetes and the American Diabetes Association Diabetes Technology Working Group Diabetologia. 2017;60:2319–28
    33. Fleming GA, Petrie JR, Bergenstal RM, Holl RW, Peters AL, Heinemann L. Diabetes digital app technology:Benefits, challenges, and recommendations A consensus report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group. Diabetologia. 2020;63:229–41
    34. Chavez S, Fedele D, Guo Y, Bernier A, Smith M, Warnick J, et al Mobile apps for the management of diabetes Diabetes Care. 2017;40:e145–6 doi: 10.2337/dc17-0853
    35. Freckmann G, Link M, Kamecke U, Haug C, Baumgartner B, Weitgasser R. Performance and usability of three systems for continuous glucose monitoring in direct comparison J Diabetes Sci Technol. 2019;13:890–8
    36. Wan W, Skandari MR, Minc A, Nathan AG, Winn A, Zarei P, et al Cost-effectiveness of continuous glucose monitoring for adults with type 1 diabetes compared with self-monitoring of blood glucose:The DIAMOND randomized trial Diabetes Care. 2018;41:1227–34
    37. New Zealand Ministry of Health. Digital, data and technology services – minimum requirements. Available from: Published 2020
    38. Dhingra D, Dabas A. Draft global strategy on digital health 2020–2024 Indian Pediatr. 2020;57:356–8
    39. Aberer F, Hochfellner DA, Mader JK. Application of telemedicine in diabetes care:The time is now Diabetes Ther. 2021;12:629–39
    40. Wicaksana AL, Cipta A, Yumna NA, Naufal MN. Developing mobile application for predicting risk of cardiovascular event among people with diabetes:Design and pilot study Indian J Public Health Res Dev. 2021;12:530–7
    41. Sartori AC, Lucena TFR, Lopes CT, Bernuci MP, Yamaguchi MU. Educational intervention using WhatsApp on medication adherence in hypertension and diabetes patients:A randomized clinical trial Telemed e-Health. 2020;26:1526–32
    42. Iafusco D, Galderisi A, Nocerino I, Cocca A, Zuccotti G, Prisco F, et al Chat line for adolescents with type 1 diabetes:A useful tool to improve coping with diabetes:A 2-year follow-up study Diabetes Technol Ther. 2011;13:551–5
    43. Chen X, Zhou X, Li H, Li J, Jiang H. The value of WeChat application in chronic diseases management in China Comput Methods Programs Biomed. 2020;196:105710
    44. Chiang JL, Maahs DM, Garvey KC, Hood KK, Laffel LM, Weinzimer SA, et al Type 1 diabetes in children and adolescents:A position statement by the American Diabetes Association Diabetes Care. 2018;41:2026–44
    45. Soiza RL, Donaldson AIC, Myint PK. Vaccine against arteriosclerosis:An update Ther Adv Vaccines. 2018;9:259–61

    Counselling; COVID-19; diabetes management; digital health; education

    © 2021 Indian Journal of Endocrinology and Metabolism | Published by Wolters Kluwer – Medknow