DIABEO App Software and Telemedicine Versus Usual Follow-Up in the Treatment of Diabetic Patients: Protocol for the TELESAGE Randomized Controlled Trial

DIABEO System Combining a Mobile App Software With and Without Telemonitoring Versus Standard Care: A Randomized Controlled Trial in Diabetes Patients Poorly Controlled with a Basal-Bolus Insulin Regimen

Background: The DIABEO^® system (DS) is a telemedicine solution that combines a mobile app for patients with a web portal for health care providers. DS allows real-time monitoring of basal-bolus insulin therapy as well as therapeutic decision-making, integrating both basal and bolus dose calculation. Real-life studies have shown a very low rate of use of mobile health applications by patients. Therefore, we conducted a large randomized controlled trial study to investigate the efficacy of DS in conditions close to real life (TELESAGE study). Methods: TELESAGE was a multicenter, randomized, open study with three parallel arms: arm 1 (standard care), arm 2 (DIABEO alone), and arm 3 (DIABEO+telemonitoring by trained nurses). The primary outcome assessed the reduction in HbA_1c levels after a 12-month follow-up. Results: Six hundred sixty-five patients were included in the study. Participants who used DIABEO once or more times a day (DIABEO users) showed a significant and meaningful reduction of HbA_1c versus standard care after a 12-month follow-up: mean difference -0.41% for arm 2-arm 1 (P = 0.001) and -0.51% for arm 3-arm 1 (P ≤ 0.001). DIABEO users included 25.1% of participants in arm 2 and 37.6% in arm 3. In the intention-to-treat population, HbA_1c changes and incidence of hypoglycemia were comparable between arms. Conclusions: A clinical and statistically significant reduction in HbA_1c levels was found in those patients who used DIABEO at least once a day.

Mobile technologies to support healthcare provider to healthcare provider communication and management of care

BACKGROUND

The widespread use of mobile technologies can potentially expand the use of telemedicine approaches to facilitate communication between healthcare providers, this might increase access to specialist advice and improve patient health outcomes.

OBJECTIVES

To assess the effects of mobile technologies versus usual care for supporting communication and consultations between healthcare providers on healthcare providers' performance, acceptability and satisfaction, healthcare use, patient health outcomes, acceptability and satisfaction, costs, and technical difficulties.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase and three other databases from 1 January 2000 to 22 July 2019. We searched clinical trials registries, checked references of relevant systematic reviews and included studies, and contacted topic experts.

SELECTION CRITERIA

Randomised trials comparing mobile technologies to support healthcare provider to healthcare provider communication and consultations compared with usual care.

DATA COLLECTION AND ANALYSIS

We followed standard methodological procedures expected by Cochrane and EPOC. We used the GRADE approach to assess the certainty of the evidence.

MAIN RESULTS

We included 19 trials (5766 participants when reported), most were conducted in high-income countries. The most frequently used mobile technology was a mobile phone, often accompanied by training if it was used to transfer digital images. Trials recruited participants with different conditions, and interventions varied in delivery, components, and frequency of contact. We judged most trials to have high risk of performance bias, and approximately half had a high risk of detection, attrition, and reporting biases. Two studies reported data on technical problems, reporting few difficulties. Mobile technologies used by primary care providers to consult with hospital specialists We assessed the certainty of evidence for this group of trials as moderate to low. Mobile technologies: - probably make little or no difference to primary care providers following guidelines for people with chronic kidney disease (CKD; 1 trial, 47 general practices, 3004 participants); - probably reduce the time between presentation and management of individuals with skin conditions, people with symptoms requiring an ultrasound, or being referred for an appointment with a specialist after attending primary care (4 trials, 656 participants); - may reduce referrals and clinic visits among people with some skin conditions, and increase the likelihood of receiving retinopathy screening among people with diabetes, or an ultrasound in those referred with symptoms (9 trials, 4810 participants when reported); - probably make little or no difference to patient-reported quality of life and health-related quality of life (2 trials, 622 participants) or to clinician-assessed clinical recovery (2 trials, 769 participants) among individuals with skin conditions; - may make little or no difference to healthcare provider (2 trials, 378 participants) or participant acceptability and satisfaction (4 trials, 972 participants) when primary care providers consult with dermatologists; - may make little or no difference for total or expected costs per participant for adults with some skin conditions or CKD (6 trials, 5423 participants). Mobile technologies used by emergency physicians to consult with hospital specialists about people attending the emergency department We assessed the certainty of evidence for this group of trials as moderate. Mobile technologies: - probably slightly reduce the consultation time between emergency physicians and hospital specialists (median difference -12 minutes, 95% CI -19 to -7; 1 trial, 345 participants); - probably reduce participants' length of stay in the emergency department by a few minutes (median difference -30 minutes, 95% CI -37 to -25; 1 trial, 345 participants). We did not identify trials that reported on providers' adherence, participants' health status and well-being, healthcare provider and participant acceptability and satisfaction, or costs. Mobile technologies used by community health workers or home-care workers to consult with clinic staff We assessed the certainty of evidence for this group of trials as moderate to low. Mobile technologies: - probably make little or no difference in the number of outpatient clinic and community nurse consultations for participants with diabetes or older individuals treated with home enteral nutrition (2 trials, 370 participants) or hospitalisation of older individuals treated with home enteral nutrition (1 trial, 188 participants); - may lead to little or no difference in mortality among people living with HIV (RR 0.82, 95% CI 0.55 to 1.22) or diabetes (RR 0.94, 95% CI 0.28 to 3.12) (2 trials, 1152 participants); - may make little or no difference to participants' disease activity or health-related quality of life in participants with rheumatoid arthritis (1 trial, 85 participants); - probably make little or no difference for participant acceptability and satisfaction for participants with diabetes and participants with rheumatoid arthritis (2 trials, 178 participants). We did not identify any trials that reported on providers' adherence, time between presentation and management, healthcare provider acceptability and satisfaction, or costs.

AUTHORS' CONCLUSIONS

Our confidence in the effect estimates is limited. Interventions including a mobile technology component to support healthcare provider to healthcare provider communication and management of care may reduce the time between presentation and management of the health condition when primary care providers or emergency physicians use them to consult with specialists, and may increase the likelihood of receiving a clinical examination among participants with diabetes and those who required an ultrasound. They may decrease the number of people attending primary care who are referred to secondary or tertiary care in some conditions, such as some skin conditions and CKD. There was little evidence of effects on participants' health status and well-being, satisfaction, or costs.

Sustainable diabetes care services during COVID-19 pandemic

INTRODUCTION

The COVID-19 pandemic creates a challenge in the provision of care for patients with diabetes. Furthermore, those with uncontrolled diabetes are at a higher risk for complications due to COVID-19. The purpose of this study is to find an innovative method to sustain effective diabetes care services amidst the COVID-19 pandemic.

METHODS

Outpatient diabetes care was successfully transformed from traditional face-to-face encounters in the clinic to an online telemedicine service.

RESULTS

1,972 patients were encountered over a 4-week study period during which we had a low proportion of unreached patients (4%). Some patients were still seen in person because they came as walk-in visits or insisted to be seen in person.

CONCLUSION

Telemedicine has become an essential healthcare service and could be augmented by the use of technology like web-based applications and communication via transfer of data from patients' glucometer, insulin pumps, or sensors. Diabetes care can be transitioned to telemedicine effectively and would be successful in reaching more patients than by traditional face-to-face visits. This model of care is time consuming and unfortunately does not reduce the need for medical staff.

Smartphone-Based Technology in Diabetes Management

Diabetes is a group of metabolic disorders characterized by elevated levels of blood glucose which leads over time to serious complications and significant morbidity and mortality worldwide. Self-management tasks in diabetes may be quite challenging because of lack of training, difficulties in sustaining lifestyle modifications, and limited access to specialized healthcare. Nowadays, the evolution of mobile technology provides a large number of health-related smartphone applications (apps), aiming to increase the self-management skills of the patient in chronic diseases, to facilitate the communication between the patient and healthcare providers, and to increase also the patient's compliance with the treatment. In the field of diabetes there are also many diabetes-related mobile apps mainly focusing on self-management of diabetes, lifestyle modification, and medication adherence motivation. The aim of this paper is to review the most important diabetes-related mobile smartphone applications, including only those supported by prospective randomized controlled trials.

Telemonitoring in diabetes: evolution of concepts and technologies, with a focus on results of the more recent studies

This is a narrative review of telemonitoring (remote monitoring) projects and studies within the field of diabetes, with a focus on results of the more recent studies. Since the beginning of the 1990s, several telemedicine projects and studies focused on type 1 and type 2 diabetes. Over the last 5 years, numerous telemedicine projects based on connected objects and new information and communication technologies (ICT) (elements defining telemedicine 2.0) have emerged or are still under development. Two examples are the DIABETe and Telesage telemonitoring project which perfectly fits within the telemedicine 2.0 framework – the first to include artificial intelligence (AI) with MyPredi^TM and Diabeo^TM. Mainly, these projects and studies show that telemonitoring diabetic result in: improvements in control of blood glucose (BG) level and significant reduction in HbA1c (e.g., for Telescot et TELESAGE studies); positive impact on co-morbidities (arterial hypertension, weight, dyslipidemia) (e.g., for Telescot and DIABETe studies); better patient’s quality of life (e.g., for DIABETe study); positive impact on appropriation of the disease by patients and/or greater adherence to therapeutic and hygiene-dietary measures (e.g., The Utah Remote Monitoring Project); and at least, good receptiveness by patients and their empowerment. To date, the magnitude of its effects remains debatable, especially with the variation in patients’ characteristics (e.g., background, ability for self-management, medical condition), samples selection and approach for the treatment of control groups. All of the recent studies have been classified as “Moderate” to “High”.

Remote Monitoring of Diabetes: A Cloud-Connected Digital System for Individuals With Diabetes and Their Health Care Providers

Benefits of telemedicine have been proven in the field of diabetes. Among a number of technical solutions, Diabeo® has been studied in both type 1 and type 2 diabetes with intensive insulin therapy. This digital therapeutic system contains a self-monitoring glucose logbook and offers automated insulin dose recommendations thanks to a fully customizable algorithm. In addition, the cloud-based dedicated software also has features to facilitate remote monitoring, including a platform for diabetes nurses who perform coaching and treatment adjustment. A detailed description of this telemedicine system is provided, as well as results of completed clinical studies. In particular, TeleDiab 1's positive results on HbA1c in type 1 diabetes are detailed. We conclude with a discussion of the role of this telemedicine system within the landscape of mobile apps for diabetes.

Digital health technology and mobile devices for the management of diabetes mellitus: state of the art

Diabetes mellitus is a disease that can be difficult to manage and requires high levels of health literacy and numeracy, self-monitoring and frequent contact with clinicians. If not optimally controlled, diabetes can lead to kidney failure, blindness and cardiovascular complications, which, in turn, contribute to increasing healthcare costs. Although not yet widely used, mobile health (mHealth) tools have enhanced diabetes management and prevention and are likely to play an increasing role with the growth of smartphone ownership and medical device innovations. Recent mHealth interventions targeting type 1 and type 2 diabetes are diverse in their goals and components, and include insulin management applications, wearable blood glucose meters, automated text messages, health diaries and virtual health coaching. In this paper, we review the modalities and components of various impactful interventions for insulin management, diabetes education, self-management and prevention. More work is needed to investigate how individual demographic, socioeconomic, behavioural and clinical characteristics contribute to patient engagement and the efficacy of mHealth tools for diabetes.