| Literature DB >> 34660235 |
Ni K D Purnamayanti1, Anggi L Wicaksana2,3.
Abstract
BACKGROUND AND AIMS: COVID-19 pandemic causes massive disruption of the global health system. The diabetic patients are the vulnerable parts population who are predicted to have a significant issue during the pandemic regarding the conventional type of consultation by face-to-face which may result in the higher risk of COVID-19 exposure. This study aims to observe the use of digital health services for diabetes management during COVID-19 pandemic.Entities:
Keywords: COVID-19; Counselling; diabetes management; digital health; education
Year: 2021 PMID: 34660235 PMCID: PMC8477741 DOI: 10.4103/ijem.ijem_153_21
Source DB: PubMed Journal: Indian J Endocrinol Metab ISSN: 2230-9500
Figure 1The flow chart for a scoping review
Summary of the articles
| Authors and Country | Title | Research Design | Results | Specific Findings and Practical Consideration |
|---|---|---|---|---|
| Ghosh | Telemedicine for diabetes care in India during COVID-19 pandemic and national lockdown period: Guidelines for physicians. | Review | India government suggested video mode to replace face-to-face consultation at the first consultation, this approach cannot replace the nature of physical examination. The limited resources and digital skills among the patients impact the use of video consultation might be accessed only through smartphones using WhatsApp® and Facetime®. | Guideline of Digital Health Service in India |
| General role: Video mode should be recommended for the first-time consultation; consultation fee will be charged; the narcotic drugs cannot be prescribed. | ||||
| Physical examination can be conducted through video such as simple neurological deficit, and by taking a photograph for issues of visible abscess and wound. | ||||
| Health education: mandatory hygiene to prevent COVID-19, individualized diet; follow up blood glucose, and albumin; insulin and medication adjustment, physical exercise more likely aerobic or yoga. | ||||
| Specific conditions for face-to-face | ||||
| consultation during lockdown (gestational diabetes, a part of infection COVID-19 needs IV antibiotic, diabetes with acute complication, foot infection, new T1D) may be applicable. | ||||
| Peter and Garg[ | The silver lining to COVID-19: Avoiding diabetic ketoacidosis admissions with telehealth. | Case Report | The use of CGM with “share” feature was effective to manage acute condition such as ketosis and hyperglicemia among two adult T1D patients. | Diabetes ketoacidosis could be well managed virtually using CGM shared blood glucose monitoring data monitoring. |
| The finding presented the use of Clarity Software and the ‘‘Share’’ feature report the patient’s CGM data to the health care provider. Using the software, health care providers could adjust the insulin dose and prevent further DKA complication. | ||||
| Filho | Knowledge levels among elderly people with diabetes mellitus concerning COVID-19: an educational intervention via a teleservice. | Cross-sectional design | Total of 30 elderly participants, mostly women (76.7%) and married (63.3%), with the average age was 69.96±4.46 years. Due to limited health literacy through an online system, information aboutCOVID-19 among elderly patients with diabetes was inadequate. Most of the information was accessed through televisions, radios, and social media with the lowest grade of trustworthiness. The role of teleservice using phone calls suggested as the easiest approach to correct the misleading information from social media. | The lowest level of digital literacy among elderly is the biggest barrier in the delivery of health services. The government should officially check information related to COVID-19 before it spreads out through TV and radio. The strategy of using phone calls for elderly may be feasible, but the volume and the clarity of the voice should be adequate for elderly with hearing problems. |
| Vigersky | The Effectiveness of virtual training on the MiniMedTM670 g system in people with T1D during the COVID-19 pandemic | Quasi experimental design | CGM training was held virtually by zoom could improve patient satisfaction in using MiniMedTM 670G as a blood glucose monitoring device. | The virtual training reduced the use of auto mode significantly from 14±7 days to 11±5 days. |
| Panzirer[ | Role of non-profit organization during COVID-19 for diabetes care: Healthcare inequities and role of virtual specialty clinic | Quasi experimental design | This study recruited 35 T1D and T2D patients who used CGM in rural areas and required basal insulin regimens. The visual specialty clinic, where the diabetes care and education specialists (DCES) guided the CGM process, interpreted and used the data for 3 months, was developed as intervention. | Non-government organization (NGO) developed literate peer support to help enhance HCPs’ role in educating patients with diabetes. |
| Wicaksana | Diabetes management and specific considerations for patients with diabetes during coronavirus diseases pandemic: A scoping review | Scoping Review | This evidence emphasized the used of telehealth consultation for blood sugar monitoring and telemedicine using mobile phones are useful for delivering diabetes education. This review included 7 papers with 31.625 participants. | Urgent face-to-face consultation for emergency cases such as severe hypoglycaemia, chest pain, gastroenteritis, foot lesion, loss of consciousness and infection related COVID-19 was acceptable. Diabetes in children and adolescents, pregnant women, and elderly should be addressed by visiting the health care provider for insulin regulation when the symptom of hypoglycaemia or ketoacidosis occurred. |
Framework of Digital Health Technology (NICE, 2019)
| Level of Evidence | Functional consideration |
|---|---|
| Level 1 | System services not involve patient outcomes |
| Level 2 | Inform: Public resource of health information and education |
| Simple monitoring: Allow patient to track their medical record | |
| Communicate: Allow communication patients to health care or peer | |
| Level 3A | Preventative behavior change: Changing patient bad habit through personal encouragement |
| Self-manage: Allow health care feedback based on clinical data which is sent by the patient | |
| Level 3B | Treat: Allow clinical judgment based on real time data |
| Active monitoring: Wearable device allows automatic recording | |
| Calculate: Provide early warning sign based on measurable parameters | |
| Diagnose: Provide specific diagnosis by gathering continuous and real time data |