The Effectiveness of Virtual Training on the MiniMed™ 670G System in People with Type 1 Diabetes During the COVID-19 Pandemic

An automated insulin delivery system from pregestational care to postpartum in women with type 1 diabetes. Preliminary experience with telemedicine in 6 patients

INTRODUCTION

The use of most commercially available automated insulin delivery (AID) systems is off-label in pregnancy. However, an increasing number of women with type 1 diabetes (T1D) use such devices throughout pregnancy and delivery. We analysed the data of six women with T1D from a single centre (Diabetology Outpatient Clinic of District-63/Asl Salerno, Italy) who were able to start and maintain AID therapy with the MiniMed™ 780G (Medtronic, Minneapolis, MN, USA) throughout the pregestational care period, pregnancy, delivery, and postpartum.

METHODS

We retrospectively collected data from six patients with T1D who received training and initiation on use of the MiniMed™ 780G and attended follow-up visits throughout pregnancy (these visits were virtual because of the COVID-19 pandemic). All patients maintained their devices in the closed-loop setting throughout pregnancy and during labour and delivery. We analysed data from the pregestational phase to the first 30 days postpartum.

RESULTS

All patients achieved the recommended metabolic goals before conception [median time in range (TIR) of 88% for 70-180 mg/dL; median pregnancy-specific TIR 63-140 mg/dL (ps-TIR) of 66% and maintained the ps-TIR until delivery (median ps-TIR 83%). All patients had slightly better metrics during the night than during the day, with a very low time below range of < 63 mg/dL. Optimal glycaemic values were also maintained on the day of labour and delivery (median ps-TIR 92.5%) and in the first 30 days postpartum, with no severe hypoglycaemia. The only neonatal complications were jaundice in one child and an interatrial defect in another child.

CONCLUSION

In our well-selected and trained patients, use of the MiniMed™ 780G helped to achieve and maintain ps-metrics from the pregestational period to delivery despite the fact that the algorithm is not set to achieve the ambitious glycaemic values recommended for pregnancy.

Virtual insulin pump initiation is safe effective in children adolescents with type 1 diabetes

Objective

There is no head-to-head comparison of the safety and efficacy of virtual versus in-office insulin pump initiation for youth with type 1 diabetes in the US. The study's aim was to determine the safety and efficacy of virtual versus in-office pump initiation in pediatric type 1 diabetes.

Research design and methods

A longitudinal retrospective study of 112 subjects: 65% (n=73), ages 11.2 ± 3.8 years(y), received in-office training; and 35% (n=39), ages 12.0 ± 4.0y, received virtual training. The number of White subjects was 40 (55%) in the in-office group, and 25 (66%) in the remote group; while Black subjects were 11 (15%) in the in-office group and 4 (10%) in the virtual group. Data were collected at pump initiation, 3 and 6 months.

Results

There were no significant differences in sex, race, height, weight, BMI, and the duration of diabetes between the groups at baseline. There was no significant difference in A1c between the groups at 0, 3, and 6 months. A1c correlated significantly with the glucose management indicator at 0, 3, and 6 months: baseline: r=0.49, p<0.0001; 3 months: r=0.77, p<0.0001; and 6 months: r=0.71, p<0.0001. There was no relationship between A1c or TIR and pubertal status, BMI, sex, or race. A1c was significantly elevated in the non-White individuals at 6 months only: 57.9 mmol/mol (50.8-69.4) versus 51.9 mmol/mol (46.5-59.6)], p=0.007.

Conclusion

Virtual insulin pump initiation is safe and effective in children with type 1 diabetes. This approach could accelerate the adoption of the use of diabetes technology in minority populations in the US.

Type 1 and Covid-19: Diagnosis, Clinical Care, and Health Outcomes during the Pandemic

The coronavirus disease 2019 (COVID-19) pandemic disrupted health care, creating challenges for people with diabetes and health care systems. Diabetes was recognized as a risk factor for severe disease early in the pandemic. Subsequently, risk factors specific for people with type 1 diabetes were identified, including age, hemoglobin A1c level, and lack of continuous glucose monitoring . Telemedicine, especially when accompanied by diabetes data, allowed effective remote care delivery. However, pre-existing racial disparities in access to diabetes technology persisted and were associated with worse outcomes. Events of the COVID-19 pandemic underscore the importance of continuing to develop flexible and more equitable health care delivery systems.

Patient Perceptions of Telehealth for Pediatric Type 1 Diabetes During the COVID-19 Pandemic: A Follow-up Study

OBJECTIVES

There was rapid uptake of pediatric diabetes telehealth at the onset of the COVID-19 pandemic and initial studies demonstrated good usability and satisfaction. As exposure to telehealth continued to increase during the pandemic, we aimed to determine changes in telehealth usability and changes in future preferences for telehealth care.

METHODS

A telehealth questionnaire was administered early in the pandemic and again more than 1 year later. Survey data were linked with a clinical data registry. A multivariable proportional odds logistic mixed-effects model was used to assess the association between exposure to telehealth and outcome of future preference for telehealth. Multivariable linear mixed-effects models were used to examine associations between exposure to early and later pandemic periods and the outcome of usability scores.

RESULTS

Survey response rate was 40%, with 87 early and 168 later period participants. Virtual visits increased from 46% to 92% of all telehealth visits. Virtual visits improved in "ease of use" (p=0.0013) and "satisfaction" (p=0.045); there were no improvements in telephone visits. The odds of indicating higher preference for more future telehealth visits was 5.1-fold higher in the later pandemic group (p=0.0298). Eighty percent of participants would like their future care to include telehealth visits.

CONCLUSIONS

At our tertiary diabetes centre, families' desire for future telehealth care has increased during this 1-year period of additional telehealth exposure, and virtual care has now become the preferred option. This study provides important family perspectives that can help guide development of future diabetes clinical care.

Innovations in Diabetes Device Training: A Scoping Review

OBJECTIVE

The coronavirus disease 2019 pandemic highlighted a pre-existing need for alternatives to traditional in-person diabetes device trainings. Barriers to care, which include the heavy burden of training, pose a threat to optimal adoption and utilization of these devices. We searched the literature for alternative methods of training, evaluated user satisfaction, and compared short-term clinical outcomes with guideline-based glucometric targets and historical training results.

METHODS

A scoping review of Embase articles from 2019 to 2021 was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines using key words relevant to diabetes technologies. Original full-text articles investigating training of new users on devices were included. Titles and abstracts were screened for eligibility by 2 independent reviewers, and results were summarized.

RESULTS

Of 25 articles retrieved from the database, 11 met the criteria. Alternative training strategies included video conferencing, phone calls, mobile applications, and hybrids with traditional trainings. Overall, there was a high degree of user satisfaction with virtual visits, with a preference for hybrid approaches (6 articles). Although glucometrics varied between articles, short-term glucometrics were satisfactory overall (8 articles), including improved glycated hemoglobin measurements and time in range. Two articles compared time in range over various time points after traditional and remote training. One found equivalency, and the other identified a 5% improvement with remote training.

CONCLUSION

Alternative training approaches are a viable option to reduce the barriers to care and to alleviate training burden. Intentional implementation of alternatives should be considered a solution to address current barriers.

Consensus Recommendations for the Use of Automated Insulin Delivery Technologies in Clinical Practice

The significant and growing global prevalence of diabetes continues to challenge people with diabetes (PwD), healthcare providers, and payers. While maintaining near-normal glucose levels has been shown to prevent or delay the progression of the long-term complications of diabetes, a significant proportion of PwD are not attaining their glycemic goals. During the past 6 years, we have seen tremendous advances in automated insulin delivery (AID) technologies. Numerous randomized controlled trials and real-world studies have shown that the use of AID systems is safe and effective in helping PwD achieve their long-term glycemic goals while reducing hypoglycemia risk. Thus, AID systems have recently become an integral part of diabetes management. However, recommendations for using AID systems in clinical settings have been lacking. Such guided recommendations are critical for AID success and acceptance. All clinicians working with PwD need to become familiar with the available systems in order to eliminate disparities in diabetes quality of care. This report provides much-needed guidance for clinicians who are interested in utilizing AIDs and presents a comprehensive listing of the evidence payers should consider when determining eligibility criteria for AID insurance coverage.

MiniMed 780G™ in 2- to 6-Year-Old Children: Safety and Clinical Outcomes After the First 12 Weeks

Objective: The safety and impact of the advanced hybrid closed-loop (AHCL) system on glycemic outcome in 2- to 6-year-old children with type 1 diabetes and the diabetes distress of caregivers were evaluated. Research Design and Methods: This was an open-label prospective study (n = 35) with historical controls matched by treatment unit, diabetes duration, age, gender, and baseline treatment modality. The inclusion criteria were (1) type 1 diabetes diagnosis >6 months, (2) total daily dose of insulin ≥8 U/day, (3) HbA1c <10% (85 mmol/mol), and (4) capability to use insulin pump and continuous glucose monitoring. The MiniMed 780G™ AHCL in SmartGuard™ Mode was used for 12 weeks. Parental diabetes distress was evaluated with a validated Problem Areas In Diabetes-Parent, revised (PAID-PR) survey. Results: No events of diabetic ketoacidosis or severe hypoglycemia occurred. Between 0 and 12 weeks, HbA1c (mean change = -2.7 mmol/mol [standard deviation 5.7], P = 0.010), mean sensor glucose value (SG) (-0.8 mmol/L [1.0], P < 0.001), and time above range (TAR) (-8.6% [9.5], P < 0.001) decreased and time in range (TIR) (8.3% [9.3], P < 0.001) increased significantly, whereas no significant change in time below range (TBR) was observed. At the same time, PAID-PR score decreased from 37.5 (18.2) to 27.5 (14.8) (P = 0.006). Conclusions: MiniMed 780G™ AHCL is a safe system and 12-week use was associated with improvements in glycemic control in 2- to 6-year-old children with type 1 diabetes. In addition, AHCL is associated with a reduction in parental diabetes distress after 12-week use. ClinicalTrials.gov registration number: NCT04949022.

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

A technological solution for the management of diabetes in people who require intensive insulin therapy has been sought for decades. The last 10 years have seen substantial growth in devices that can be integrated into clinical care. Driven by the availability of reliable systems for continuous glucose monitoring, we have entered an era in which insulin delivery through insulin pumps can be modulated based on sensor glucose data. Over the past few years, regulatory approval of the first automated insulin delivery (AID) systems has been granted, and these systems have been adopted into clinical care. Additionally, a community of people living with type 1 diabetes has created its own systems using a do-it-yourself approach by using products commercialised for independent use. With several AID systems in development, some of which are anticipated to be granted regulatory approval in the near future, the joint Diabetes Technology Working Group of the European Association for the Study of Diabetes and the American Diabetes Association has created this consensus report. We provide a review of the current landscape of AID systems, with a particular focus on their safety. We conclude with a series of recommended targeted actions. This is the fourth in a series of reports issued by this working group. The working group was jointly commissioned by the executives of both organisations to write the first statement on insulin pumps, which was published in 2015. The original authoring group was comprised by three nominated members of the American Diabetes Association and three nominated members of the European Association for the Study of Diabetes. Additional authors have been added to the group to increase diversity and range of expertise. Each organisation has provided a similar internal review process for each manuscript prior to submission for editorial review by the two journals. Harmonisation of editorial and substantial modifications has occurred at both levels. The members of the group have selected the subject of each statement and submitted the selection to both organisations for confirmation.

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

A technological solution for the management of diabetes in people who require intensive insulin therapy has been sought for decades. The last 10 years have seen substantial growth in devices that can be integrated into clinical care. Driven by the availability of reliable systems for continuous glucose monitoring, we have entered an era in which insulin delivery through insulin pumps can be modulated based on sensor glucose data. Over the past few years, regulatory approval of the first automated insulin delivery (AID) systems has been granted, and these systems have been adopted into clinical care. Additionally, a community of people living with type 1 diabetes has created its own systems using a do-it-yourself approach by using products commercialized for independent use. With several AID systems in development, some of which are anticipated to be granted regulatory approval in the near future, the joint Diabetes Technology Working Group of the European Association for the Study of Diabetes and the American Diabetes Association has created this consensus report. We provide a review of the current landscape of AID systems, with a particular focus on their safety. We conclude with a series of recommended targeted actions. This is the fourth in a series of reports issued by this working group. The working group was jointly commissioned by the executives of both organizations to write the first statement on insulin pumps, which was published in 2015. The original authoring group was comprised by three nominated members of the American Diabetes Association and three nominated members of the European Association for the Study of Diabetes. Additional authors have been added to the group to increase diversity and range of expertise. Each organization has provided a similar internal review process for each manuscript prior to submission for editorial review by the two journals. Harmonization of editorial and substantial modifications has occurred at both levels. The members of the group have selected the subject of each statement and submitted the selection to both organizations for confirmation.

Effectiveness of a flash glucose monitoring systems implementation program through a group and telematic educational intervention in adults with type 1 diabetes

OBJECTIVES

Verifying the clinical effectiveness and the impact on quality-of-life parameters, fear of hypoglycaemia and satisfaction with the treatment obtained with a flash glucose monitoring (MFG) devices implantation program that includes a telematic and group educational intervention in adults with type 1 diabetes.

PATIENTS AND METHODS

Prospective quasi-experimental study, carried out during the COVID-19 pandemic period with a 9-month follow-up at the Virgen Macarena University Hospital, Sevilla.

RESULTS

Eighty-eight participants were included (men: 46.6%; mean age (years) 38.08, SD: 9.38); years of DM1 evolution: 18.4 (SD: 10.49); treatment with multiple doses insulin (MDI) 70.5% vs 29.5% subcutaneous insulin infusion therapy (CSII)). Baseline HbA1c was 7.74% (1.08). After the intervention, the global decrease in HbA1c was -0.45% (95% CI [-0.6, -0.25], P < 0.01), increasing to -1.08% in the group that started with HbA1c ≥ 8% (P < 0.01). A mean decrease in the Fear of Hypoglycemia 15 (FH15) test score of -6.5 points was observed (P < 0.01). In the global score of the Spanish version of Diabetes Quality Of Life (DQOL-s) test, the decrease was -8.44 points (P < 0.01). In Diabetes Treatment Satisfaction Questionnaire test (DTQ-s), global score increased in + 4 points (P < 0.01).

CONCLUSIONS

The incorporation of an educational program in group and telematic format within the development of MFG devices implantation strategies is an effective option, with associated benefits in quality of life and fear of hypoglycemia in adult patients with DM1. This option can be implemented in usual clinical practice.

Noninferiority of Telemedicine Delivered Compared With In-person Diabetes Self-Management Education and Support (DSMES) During Covid-19 Pandemic in Thailand

This study aimed to compare the clinical outcomes and program satisfaction of diabetes self-management education and support (DSMES) for type 2 diabetes patients delivered by telehealth during COVID-19 pandemic to in-person delivery during pre-COVID-19. A retrospective case-controlled study was conducted (95 telehealth and 95 on-site). Differences in hemoglobin A1c (HbA1c) reductions between groups were analyzed by linear mixed-effects models, and satisfaction was collected. Compared with baseline, at the three-month follow-up, the HbA1c reductions of the telehealth and on-site DSMES were 1.20 ± 0.15% and 1.21 ± 0.15%, respectively (P < .001), whereas these were 1.28 ± 0.16% and 1.18 ± 0.15% at six-month follow-up, respectively (P < .001). There were no significant differences in HbA1c reduction between the two groups (P = .967 and .674 at three- and six-month follow-up). Majority of participants in both groups had high program satisfaction (telehealth 98.7% vs on-site 95.1%, P = .269). In conclusion, DSMES delivered via telehealth is as effective in lowering HbA1c as that delivered in-person, with a high satisfaction rate.

Improved CGM Glucometrics and More Visits for Pediatric Type 1 Diabetes Using Telemedicine During 1 Year of COVID-19

PURPOSE

The COVID-19 pandemic led to rapid adoption of telemedicine for the care of youth with type 1 diabetes (T1D). We assessed the utility of a primarily virtual care model by comparing glucometrics from a pediatric sample with T1D using continuous glucose monitoring (CGM) both before and during the pandemic.

METHODS

Pediatric patients aged 1 to 17 years with T1D duration ≥ 1 year if ≥ 6 years old or ≥ 6 months if < 6 years old, with ≥ 1 visit with recorded CGM data both prepandemic (April 1, 2019-March 15, 2020) and during the pandemic (April 1, 2020-March 15, 2021) were included. Data were extracted from the electronic health record.

RESULTS

Our sample comprised 555 young people (46% male, 87% White, 79% pump-treated), mean age 12.3 ± 3.4 years, T1D duration 5.9 ± 3.5 years, baseline glycated hemoglobin A1c 8.0 ± 1.0% (64 ± 10.9 mmol/mol). Diabetes visit frequency increased from 3.8 ± 1.7 visits/prepandemic period to 4.3 ± 2.2 visits/pandemic period (P < 0.001); during pandemic period, 92% of visits were virtual. Glucose management indicator (GMI) improved slightly from 7.9% (63 mmol/mol) prepandemic to 7.8% (62 mmol/mol) during the pandemic (P < 0.001). Those with equal or greater visit frequency (n = 437 [79% of sample]) had significant improvement in GMI (8.0% to 7.8% [64 to 62 mmol/mol], P < 0.001), whereas those with lower visit frequency did not (7.8 [62 mmol/mol], P = 0.86).

CONCLUSIONS

Children and adolescents with T1D using CGM before and during the pandemic showed an overall increase in visit frequency using primarily telemedicine-based care and improved CGM glucometrics. Further research is needed to understand factors associated with successful use of telemedicine for pediatric T1D.

The future of telehealth in type 1 diabetes

PURPOSE OF REVIEW

Although telemedicine and telehealth services have been a part of type 1 diabetes (T1D) clinical care for several decades, the expansion of in-home telemedicine during the COVID-19 pandemic significantly increased interest in long-term use as part of routine care. This review highlights the current literature regarding telemedicine in T1D care as well as the benefits and barriers to use in a postpandemic world.

RECENT FINDINGS

Telemedicine has increased patient contact with healthcare providers, allowing for more frequent insulin dose adjustments and improvements in glycemic outcomes. In addition to routine clinical care, T1D device training and mental healthcare have been successful through telemedicine. Significant barriers to continued telemedicine care exist, including patient access and technology knowledge, language, and loss of face-to-face interaction. Healthcare providers additionally face unpredictable reimbursement and loss of continuity across state lines, and lack of resources and training for device downloads and telemedicine software.

SUMMARY

Telemedicine can be successfully used in T1D care and has the potential to significantly impact glycemic and long-term outcomes. Due to continued interest for in-person visits by people with T1D and providers, it is likely that long-term telemedicine use will include a hybrid format.

Glycemic Effects and Predictors of Increased Time-in-Range After Initiating MiniMed 670G: A 12-Month Observational Study

We aimed to evaluate the glycemic effect and detect any predictors of improved time-in-range (TIR) in persons with type 1 diabetes after initiating hybrid closed-loop (HCL) treatment with MiniMed 670G in a 12-month retrospective observational study. Before starting HCL treatment, the 62 participants followed a Steno-developed training program; 7 participants (6.5%) discontinued the HCL therapy; the remaining 55 (58% female) had an age (mean ± standard deviation) of 45.6 ± 12.6 years and diabetes duration of 28.2 ± 10.9 years. After 12 months' HCL therapy, glycated hemoglobin A1c decreased from 7.4% +0.7% to 7.1% +0.5%, TIR increased from 59.3% ± 13.5% to 72% ± 9.3%, time in 54-70 mg/dL (3.0-3.9 mM) decreased from 2.4% ± 2.0% to 1.4% ± 1.0%, and time in 180-250 mg/dL (10.0-13.9 mM) decreased from 26.4% ± 8.3% to 20.8% ± 5.5%, all P < 0.001. Improvement in TIR was significantly associated with lower total daily insulin dose, higher amount of total carbohydrate, and more time spent in Auto Mode. Our findings support the promising results on glycemic outcomes seen with HCL treatment.

Current provision and HCP experiences of remote care delivery and diabetes technology training for people with type 1 diabetes in the UK during the COVID-19 pandemic

BACKGROUND

The COVID-19 pandemic has led to the rapid implementation of remote care delivery in type 1 diabetes. We studied current modes of care delivery, healthcare professional experiences and impact on insulin pump training in type 1 diabetes care in the United Kingdom (UK).

METHODS

The UK Diabetes Technology Network designed a 48-question survey aimed at healthcare professionals providing care in type 1 diabetes.

RESULTS

One hundred and forty-three healthcare professionals (48% diabetes physicians, 52% diabetes educators and 88% working in adult services) from approximately 75 UK centres (52% university hospitals, 46% general and community hospitals), responded to the survey. Telephone consultations were the main modality of care delivery. There was a higher reported time taken for video consultations versus telephone (p < 0.001). Common barriers to remote consultations were patient familiarity with technology (72%) and access to patient device data (67%). We assessed the impact on insulin pump training. A reduction in total new pump starts (73%) and renewals (61%) was highlighted. Common barriers included patient digital literacy (61%), limited healthcare professional experience (46%) and time required per patient (44%). When grouped according to size of insulin pump service, pump starts and renewals in larger services were less impacted by the pandemic compared to smaller services.

CONCLUSION

This survey highlights UK healthcare professional experiences of remote care delivery. While supportive of virtual care models, a number of factors highlighted, especially patient digital literacy, need to be addressed to improve virtual care delivery and device training.

Delivering evidence-based interventions for type 1 diabetes in the virtual world - A review of UK practice during the SARS-CoV-2 pandemic

AIMS

This review considers the impact of the SARS-CoV-2 pandemic on access to interventions for those living with type 1 diabetes and discusses the solutions which have been considered and actioned to ensure ongoing access care.

METHODS

We performed a focussed review of the published literature, and the guidelines for changes that have been effected during the pandemic. We also drew from expert recommendations and information about local practice changes for areas where formal data have not been published.

RESULTS

Evidence based interventions which support the achievement of improved glucose levels and/or reduction in hypoglycaemia include group structured education to support self-management, insulin pump therapy and continuous glucose monitoring. The SARS-CoV-2 pandemic had impacted the ability of diabetes services to deliver these intervention. Multiple adaptations have been put in place - transition to online delivery of education and care, and usage of diabetes technology.

CONCLUSIONS

Although various adaptations have been made during the pandemic that have positively influenced uptake of services, there are many areas of delivery that need immediate improvement in the UK. We recommend a proactive approach in recognising the digital divide and inequity in distribution of these changes and we recommend introducing measures to reduce them.

Six-Month Glycemic Control with a Hybrid Closed-Loop System in Type 1 Diabetes Patients in a Latin American Country

The goal of this study was to assess the 6-month effectiveness of hybrid closed loop on glycemic control in type 1 diabetes (T1D) patients in Latin America. An exploratory analysis of data prospectively collected from non-selected consecutive patients with T1D who initiated treatment with the MiniMed™ 670G system in Argentina was conducted. Baseline and follow-up visits at days 7, 28, 90, and 180 were carried out and data were downloaded at each visit. A total of 30 patients (age range 9-57 years, female 63.3%), 73.3% (n = 22) of whom previously used sensor augmented pump-predictive low glucose management (SAP-PLGM), with baseline glycated hemoglobin 7.4% ± 1% were included. Time in range between 70 and 180 mg/dL significantly increased from 65.1% at baseline to 77.3%, 76.2%, 75.7%, and 75.2% at days 7, 28, 90 and 180, respectively. Time above range (>180 mg/dL) significantly decreased from 33% to 22.5% (P < 0.001), while time below range (<70 mg/dL) did not change. Mean glucose levels were reduced from 163.5 mg/dL at baseline to 150.9 mg/dL (P = 0.001) at last visit. The Auto Mode feature was used > 90% of the time. Virtual training was successfully completed with a Net Promoter Score^® (NPS^®) of 87%. This analysis confirms that MiniMed 670G system use allowed successful achievement of glycemic control within recommended targets in a non-selected Latin American patient population who underwent virtual system training.

Trends in Glycemic Control Among Youth and Young Adults With Diabetes: The SEARCH for Diabetes in Youth Study

OBJECTIVE

To describe temporal trends and correlates of glycemic control in youth and young adults (YYA) with youth-onset diabetes.

RESEARCH DESIGN AND METHODS

The study included 6,369 participants with type 1 or type 2 diabetes from the SEARCH for Diabetes in Youth study. Participant visit data were categorized into time periods of 2002-2007, 2008-2013, and 2014-2019, diabetes durations of 1-4, 5-9, and ≥10 years, and age groups of 1-9, 10-14, 15-19, 20-24, and ≥25 years. Participants contributed one randomly selected data point to each duration and age group per time period. Multivariable regression models were used to test differences in hemoglobin A1c (HbA1c) over time by diabetes type. Models were adjusted for site, age, sex, race/ethnicity, household income, health insurance status, insulin regimen, and diabetes duration, overall and stratified for each diabetes duration and age group.

RESULTS

Adjusted mean HbA1c for the 2014-2019 cohort of YYA with type 1 diabetes was 8.8 ± 0.04%. YYA with type 1 diabetes in the 10-14-, 15-19-, and 20-24-year-old age groups from the 2014-2019 cohort had worse glycemic control than the 2002-2007 cohort. Race/ethnicity, household income, and treatment regimen predicted differences in glycemic control in participants with type 1 diabetes from the 2014-2019 cohort. Adjusted mean HbA1c was 8.6 ± 0.12% for 2014-2019 YYA with type 2 diabetes. Participants aged ≥25 years with type 2 diabetes had worse glycemic control relative to the 2008-2013 cohort. Only treatment regimen was associated with differences in glycemic control in participants with type 2 diabetes.

CONCLUSIONS

Despite advances in diabetes technologies, medications, and dissemination of more aggressive glycemic targets, many current YYA are less likely to achieve desired glycemic control relative to earlier cohorts.

Diabetes Technology Use in Remote Pediatric Patients with Type 1 Diabetes Using Clinic-to-Clinic Telemedicine

Background: Clinic-to-clinic telemedicine can increase visit frequency in pediatric patients with type 1 diabetes (T1D) living far from a diabetes specialty clinic, but the impact on adoption of diabetes technology is unclear. Materials and Methods: Pediatric patients with T1D in Colorado and surrounding states who received diabetes care using clinic-to-clinic telemedicine were enrolled. Medical records and surveys were reviewed to ascertain technology use, and data were compared to patients from the main clinic population. Results: Patients (N = 128, baseline mean age 12.4 ± 4.2 years, median T1D duration 3.3 years [IQR 1.4-7.7], mean A1c 8.9% ± 1.8%, 60% male, 75% non-Hispanic white, 77% private insurance) who utilized telemedicine were included. Technology use among telemedicine patients was not associated with gender, T1D duration, insurance, distance from the main clinic or rural designation but was associated with ethnicity and A1c. Compared to the main clinic cohort (N = 3636), continuous glucose monitor (CGM) use and pump/CGM combination use was lower among patients participating in clinic-to-clinic telemedicine (CGM: 29.7% vs. 56.0%, P < 0.001; CGM/pump combination: 27.3% vs. 40.3%, P = 0.004). Technology use was associated with lower A1c regardless of cohort. Conclusions: Compared to patients attending in-person clinic, pediatric T1D patients who use clinic-to-clinic telemedicine due to their distance from the main clinic, have lower CGM and combination CGM/pump use. For both telemedicine and main clinic patients, CGM and CGM/pump combination was associated with lower A1c. Additional research is needed to explore reasons for this discrepancy and find methods to improve CGM use in this population.

Nitrous Oxide Sedation Asynchronous Curriculum for Pediatric Emergency Medicine Providers

This technical report describes a nitrous oxide sedation training curriculum for pediatric emergency medicine providers. This curriculum was used during the novel coronavirus disease 2019 (COVID-19) pandemic where in-person classroom training was significantly limited. We demonstrate a model for concept and equipment learning with video-guided self-practice in place of in-person training with a facilitator. A similar model can be utilized for other equipment or concept training.

Real-World, Patient-Reported and Clinic Data from Individuals with Type 1 Diabetes Using the MiniMed 670G Hybrid Closed-Loop System

Background: The purpose of this study was to collect 1 year of real-world data from individuals with type 1 diabetes (T1D) initiating the Medtronic 670G hybrid closed-loop insulin delivery system as part of usual care. We sought to expand current knowledge to understand how use of the system impacts patient-reported outcomes, in addition to clinical outcomes, for children and adults with T1D. Methods: Questionnaires were completed by the participant (and/or parent) before initiation of the 670G system (baseline) and at 6 weeks, 6 months, and 12 months from enrollment. Clinical data were obtained at routine clinical visits. Results: Of 132 participants who initiated Auto Mode, 80 completed the 12-month questionnaires while persisting with the system. Nearly all reported receiving adequate training on the 670G. Participant and parent-reported fear of hypoglycemia decreased by 6 and 11 points, respectively, from baseline to 12 months. More than half reported issues with sleep interruption at night due to alarms and 40% did not like frequent exits from Auto Mode. For the subset who had complete continuous glucose monitor data (n = 27), mean percent time in target range (70-180 mg/dL) was 66% at baseline, and 74% and 68% at 6 and 12 months, respectively. Conclusions: With this study, we have captured real-time feedback from patients with T1D who initiated the 670G system and continued to use it over 12 months regarding their experience with the system. This has helped to illuminate both benefits and burdens associated with the first commercially available hybrid closed-loop system.

Digital technologies in the care of people with diabetes during the COVID-19 pandemic: a scoping review

OBJECTIVE

To map evidence on the use of digital technologies in the care of people with diabetes during the COVID-19 pandemic.

METHOD

This is a scoping review, based on the JBI manual, which included scientific articles and gray literature from nine primary and seven secondary databases. Articles were independently assessed by two reviewers. Rayyan® was used to select the studies. The description of study characterization is presented in a table and tables, ending in a narrative synthesis.

RESULTS

A total of 1,964 studies were identified and, after selection, 23 publications remained for analysis. It turned out that telemedicine was used in all studies and remote consultation support technologies included continuous glucose monitoring devices, glucose data analysis software, insulin delivery systems, applications, audio and/or voice communication devices, which facilitated remote diabetes mellitus monitoring and management.

CONCLUSION

Telehealth, monitoring technologies, insulin delivery systems and communication devices were tools used to monitor patients with diabetes during the pandemic.

Insurance Coverage for Emerging Diabetes Technologies: Payers' Perspective

Advances in glucose monitoring and insulin delivery technologies have led to the development of innovative self-management tools, such as continuous glucose monitoring, automated insulin delivery systems, and smart connected insulin pens. Although the clinical advantages of today's emerging diabetes technologies are well documented, the cost of integrating these tools into clinical practice must be considered to sustain the financial viability of both public and private insurers. Most clinicians are unfamiliar with the process the commercial insurers follow when making these decisions. This article reviews the key factors the insurers consider when determining eligibility criteria.

Continuous Glucose Monitoring Integration for Remote Diabetes Management: Virtual Diabetes Care with Case Studies

Use of telemedicine and remote monitoring technologies can significantly improve glycemic control in patients with type 1 diabetes and type 2 diabetes. Patients' ability to interact remotely with their health care providers via smartphones and other communication devices can increase their access to clinical care and online coaching and support programs. The establishment of metrics for clinical use of continuous glucose monitoring data and standardization of data reporting has enabled clinicians to maintain high-quality diabetes care through remote monitoring and telemedicine visits during the COVID-19 pandemic. This article discusses our experiences using remote monitoring and telemedicine visits during this time.

Newest Diabetes-Related Technologies for Pediatric Type 1 Diabetes and Its Impact on Routine Care: a Narrative Synthesis of the Literature

Purpose of Review

This review aims to address the actual state of the most advanced diabetes devices, as follows: continuous subcutaneous insulin infusions (CSII), continuous glucose monitoring systems (CGM), hybrid-closed loop (HCL) systems, and “Do-it-yourself” Artificial Pancreas Systems (DIYAPS) in children, adolescents, and young adults. This review has also the objective to assess the use of telemedicine for diabetes care across three different areas: education, social media, and daily care.

Recent Findings

Recent advances in diabetes technology after integration of CSII with CGM have increased the popularity of this treatment modality in pediatric age and shifted the standard diabetes management in many countries. We found an impressive transition from the use of CSII and/or CGM only to integrative devices with automated delivery systems. Although much has changed over the past 5 years, including a pandemic period that precipitated a broader use of telemedicine in diabetes care, some advances in technology may still be an additional burden of care for providers, patients, and caregivers. The extent of a higher rate of “auto-mode” use in diabetes devices while using the HCL/DIYAPS is essential to reduce the burden of diabetes treatment.

Summary

More studies including higher-risk populations are needed, and efforts should be taken to ensure proper access to cost-effective advanced technology on diabetes care.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40124-021-00248-7.

Virtual training on advanced hybrid closed-loop system MiniMed 780G in a teenager with type 1 diabetes previously treated with multiple daily injections: A case report

Virtual pump training program for novel devices in people with type 1 diabetes on multiple daily injections can be an effective tool to initiate an advanced HCL system (MiniMed 780G) and to improve glycemic control in a safe manner without severe hypoglycemia and hyperglycemia.

Has COVID-19 lockdown improved glycaemic control in pediatric patients with type 1 diabetes? An analysis of continuous glucose monitoring metrics

AIMS

Our observational study aimed to evaluate the impact of the lockdown period due to 2019 Coronavirus disease pandemic on glycaemic control in a cohort of paediatric patients with type 1 diabetes (T1D).

METHODS

Eighty-five patients with T1D aged 5-18 years using continuous glucose monitoring (CGM) systems were enrolled. Demographic and clinical data, including glucose metrics generated by CGM-specific web-based cloud platforms, were collected in three different periods (pre-lockdown phase, lockdown phase, and post-lockdown phase) of 90 days each and were statistically analysed.

RESULTS

During the lockdown period, a clear improvement in almost all CGM metrics (time in range, time above range, coefficient of variation, and glucose management indicator) was observed in our study population, regardless of age and insulin type treatment. In the months following lockdown, maintaining satisfactory diabetes outcomes was confirmed only in younger patients (aged 5-9 years) and in those individuals on hybrid closed loop therapy.

CONCLUSIONS

The increasing use of innovative technological devices together with data sharing systems and interaction with multidisciplinary diabetes team through telemedicine allowed paediatric patients with T1D to improve glucose metrics during the lockdown period. However, our findings showed that the achievement of better glycaemic control was transient for most patients.

Efficacy of advanced hybrid closed loop systems for the management of type 1 diabetes in children

Over the last years significant advances have been achieved in the development of technologies for diabetes management. Continuous subcutaneous insulin infusion (CSII), continuous glucose monitoring (CGM), predictive low glucose management (PLGM), hybrid closed loop (HCL) and advanced hybrid closed loop (AHCL) systems allow better diabetes management, thus reducing the burden of the disease and the risk of chronic complications. This review summarizes the main characteristics of the currently available HCL and AHCL systems and their primary effects in children and adolescents with type 1 diabetes (T1D). The findings of trials assessing the glucose control (time in range, HbA1c values, hypoglycemic events), the health-related quality of life and the existing limits of the use of these technologies are reported. The most recent data clearly confirm the ability of the HCL and AHCL insulin delivery systems to safely achieve a significant improvement of glucose control and quality of life in the pediatric population with T1D. Further studies are underway to overcame current barriers and future improvements in the usability of these technologies are awaited to facilitate their use in the routine clinical practice. The HCL and AHCL algorithms are the key features of today's insulin delivery systems that mark a crucial step towards fully automated closed loop systems.

Is Telemedicine the Preferred Visit Modality in Patients with Type 1 Diabetes?

BACKGROUND

The COVID-19 pandemic limits access to diabetes clinics. Remote communication by phone calls and WhatsApp messages became available in the past years. However, the current need to avoid face-to-face meetings necessitates further expansion of telemedicine services. There are limited data whether the option of virtual meetings is a preferred therapeutic modality for patients with type 1 diabetes (T1D).

OBJECTIVE

To assess in a cohort of T1D patients, their preference and perception of telemedicine.

METHODS

T1D patients who are followed in a hospital-affiliated diabetes clinic were asked to fill a structured questionnaire aimed to determine their attitude towards telemedicine and their preference of virtual versus conventional visits. The questionnaire was offered to consecutive T1D patients who visited the clinic between August to October 2020.

RESULTS

Seventy one T1D patients that fulfilled the questionnaire were included. Median age was 38 years, 39% were male, and median duration of diabetes was 18 years. Fourteen percent of the participants preferred only virtual visits, 24% only conventional visits and 62% preferred a combination of these modalities. Sex, origin, education, duration of diabetes, mode of insulin treatment and distance from the clinic were not associated with patients' preference, but older patients (≥ 61 years) tended to prefer conventional visits. Sixty-six percent felt confident in their ability to download data from their personal medical devices.

CONCLUSIONS

Patients from a wide range of treatment modalities are willing to use telemedicine. However, virtual meetings cannot fully replace conventional visits in T1D especially in the older age group.

A COVID-19 Pandemic Sustainable Educational Innovation Management Proposal Framework

The COVID-19 pandemic has promoted a big change in the educational sector. Suddenly, teachers, professors, and students had to migrate from presential classes to the online system without prior notice or a training course. This paper aimed to verify how the need of a rapid change to the online system in response to the impossibility of keeping the presential system due to the mandatory social distancing imposed by the COVID-19 pandemic has affected relationships and performance of teachers, professors, and students, as well as review the technologies and procedures adopted by them to innovate and achieve sustainable education. To address the empirical side of this exploratory research, the authors of this paper sent an email questionnaire to kindergarten, elementary and high school teachers in the City of Rio de Janeiro (Brazil), as well as to professors of the top 197 Brazilian universities. To address theoretical side of this exploratory research, an investigation was carried out through scientific databases. The data were analyzed with SPSS (Statistical Package for the Social Sciences), version 22.0, and with Microsoft Excel 2007. As a result, this paper showed that social isolation and transition to the online system greatly affected the work conditions of teachers and professors, as well as the learning process of students. Anyway, sustainable actions were taken to overcome these challenges. Furthermore, this paper proposed a framework that might support the development of new studies, filling the literature gap on the subject.

American Association of Clinical Endocrinology Clinical Practice Guideline: The Use of Advanced Technology in the Management of Persons With Diabetes Mellitus

OBJECTIVE

To provide evidence-based recommendations regarding the use of advanced technology in the management of persons with diabetes mellitus to clinicians, diabetes-care teams, health care professionals, and other stakeholders.

METHODS

The American Association of Clinical Endocrinology (AACE) conducted literature searches for relevant articles published from 2012 to 2021. A task force of medical experts developed evidence-based guideline recommendations based on a review of clinical evidence, expertise, and informal consensus, according to established AACE protocol for guideline development.

MAIN OUTCOME MEASURES

Primary outcomes of interest included hemoglobin A1C, rates and severity of hypoglycemia, time in range, time above range, and time below range.

RESULTS

This guideline includes 37 evidence-based clinical practice recommendations for advanced diabetes technology and contains 357 citations that inform the evidence base.

RECOMMENDATIONS

Evidence-based recommendations were developed regarding the efficacy and safety of devices for the management of persons with diabetes mellitus, metrics used to aide with the assessment of advanced diabetes technology, and standards for the implementation of this technology.

CONCLUSIONS

Advanced diabetes technology can assist persons with diabetes to safely and effectively achieve glycemic targets, improve quality of life, add greater convenience, potentially reduce burden of care, and offer a personalized approach to self-management. Furthermore, diabetes technology can improve the efficiency and effectiveness of clinical decision-making. Successful integration of these technologies into care requires knowledge about the functionality of devices in this rapidly changing field. This information will allow health care professionals to provide necessary education and training to persons accessing these treatments and have the required expertise to interpret data and make appropriate treatment adjustments.

A Virtual Training Program for the Tandem t:slim X2 Insulin Pump: Implementation and Outcomes

Insulin pump training has traditionally been performed in-person. The coronavirus disease 2019 (COVID-19) pandemic necessitated vast increases in the number of virtual pump trainings for Tandem t:slim X2 insulin pump starts. A customized structured pump training curriculum specifically tailored to virtual learning was deployed in early 2020, and included (1) preparation for training with use of the t:simulator app, (2) use of the teach-back method during video training, and (3) automating data uploads for follow-up. Retrospective analysis from >23,000 pump training sessions performed from January 1, 2020 to July 28, 2020 showed sensor time-in-range for up to 6 months after training was 72% (60%-81%) for virtual training versus 67% (54%-78%) for in-person training. Higher user satisfaction (4.78 ± 0.52 vs. 4.64 ± 0.68; P < 0.01) and higher user confidence (4.61 ± 0.75 vs. 4.47 ± 0.0.85; P < 0.01) were reported after the virtual sessions. Virtual pump training was well received and proved safe and effective with the new virtual training curriculum.

Changes to care delivery at nine international pediatric diabetes clinics in response to the COVID-19 global pandemic

BACKGROUND

Pediatric diabetes clinics around the world rapidly adapted care in response to COVID-19. We explored provider perceptions of care delivery adaptations and challenges for providers and patients across nine international pediatric diabetes clinics.

METHODS

Providers in a quality improvement collaborative completed a questionnaire about clinic adaptations, including roles, care delivery methods, and provider and patient concerns and challenges. We employed a rapid analysis to identify main themes.

RESULTS

Providers described adaptations within multiple domains of care delivery, including provider roles and workload, clinical encounter and team meeting format, care delivery platforms, self-management technology education, and patient-provider data sharing. Providers reported concerns about potential negative impacts on patients from COVID-19 and the clinical adaptations it required, including fears related to telemedicine efficacy, blood glucose and insulin pump/pen data sharing, and delayed care-seeking. Particular concern was expressed about already vulnerable patients. Simultaneously, providers reported 'silver linings' of adaptations that they perceived as having potential to inform care and self-management recommendations going forward, including time-saving clinic processes, telemedicine, lifestyle changes compelled by COVID-19, and improvements to family and clinic staff literacy around data sharing.

CONCLUSIONS

Providers across diverse clinical settings reported care delivery adaptations in response to COVID-19-particularly telemedicine processes-created challenges and opportunities to improve care quality and patient health. To develop quality care during COVID-19, providers emphasized the importance of generating evidence about which in-person or telemedicine processes were most beneficial for specific care scenarios, and incorporating the unique care needs of the most vulnerable patients.

Teleassistance for Patients With Type 1 Diabetes During the COVID-19 Pandemic: Results of a Pilot Study

Background

Telemedicine use in chronic disease management has markedly increased during health emergencies due to COVID-19. Diabetes and technologies supporting diabetes care, including glucose monitoring devices, software analyzing glucose data, and insulin delivering systems, would facilitate remote and structured disease management. Indeed, most of the currently available technologies to store and transfer web-based data to be shared with health care providers.

Objective

During the COVID-19 pandemic, we provided our patients the opportunity to manage their diabetes remotely by implementing technology. Therefore, this study aimed to evaluate the effectiveness of 2 virtual visits on glycemic control parameters among patients with type 1 diabetes (T1D) during the lockdown period.

Methods

This prospective observational study included T1D patients who completed 2 virtual visits during the lockdown period. The glucose outcomes that reflected the benefits of the virtual consultation were time in range (TIR), time above range, time below range, mean daily glucose, glucose management indicator (GMI), and glycemic variability. This metric was generated using specific computer programs that automatically upload data from the devices used to monitor blood or interstitial glucose levels. If needed, we changed the ongoing treatment at the first virtual visit.

Results

Among 209 eligible patients with T1D, 166 completed 2 virtual visits, 35 failed to download glucose data, and 8 declined the visit. Among the patients not included in the study, we observed a significantly lower proportion of continuous glucose monitoring (CGM) and continuous subcutaneous insulin infusion (CSII) users (n=7/43, 16% vs n=155/166, 93.4% and n=9/43, 21% vs n=128/166, 77.1%, respectively; P<.001) compared to patients who completed the study. TIR significantly increased from the first (62%, SD 18%) to the second (65%, SD 16%) virtual visit (P=.02); this increase was more marked among patients using the traditional meter (n=11; baseline TIR=55%, SD 17% and follow-up TIR=66%, SD 13%; P=.01) than among those using CGM, and in those with a baseline GMI of ≥7.5% (n=46; baseline TIR=45%, SD 15% and follow-up TIR=53%, SD 18%; P<.001) than in those with a GMI of <7.5% (n=120; baseline TIR=68%, SD 15% and follow-up TIR=69%, SD 15%; P=.98). The only variable independently associated with TIR was the change of ongoing therapy. The unstandardized beta coefficient (B) and 95% CI were 5 (95% CI 0.7-8.0) (P=.02). The type of glucose monitoring device and insulin delivery systems did not influence glucometric parameters.

Conclusions

These findings indicate that the structured virtual visits help maintain and improve glycemic control in situations where in-person visits are not feasible.

Digital Health Services among Patients with Diabetes during the COVID-19 Pandemic: A Scoping Review

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.

METHODS

A scoping review was conducted in PubMed, ScienceDirect, and Google Scholar during August until September 2020. The keywords that are used on the searching process are diabetes AND digital service OR telemedicine OR technology AND COVID-19. The criteria included the selection of scientific publication as an original research and reviews.

RESULTS

All published articles were gathered from 3 search engines; PubMed, Science Direct, and Google Scholar. The discussion explicates the practical considerations that are in accordance with the current condition of each country. In order to do so, the evidence is classified based on the level of global digital health framework in the developed and developing countries. It was found that the minimal level of digital health that connects diabetes patients with healthcare providers was at level 2, which is by using the video mode. The most advanced is at level 3B, which is applied by using the CGM devices, which provide active monitoring, diagnosis, and treatment based on timely clinical judgment.

CONCLUSION

It is feasible to utilize the digital health service during the COVID-19. This review is projected to be beneficial for the patient and health care providers to select the most feasible approach of digital health that merits the contextual resource.

Virtual training on the hybrid close loop system in people with type 1 diabetes (T1D) during the COVID-19 pandemic

BACKGROUND AND AIMS

In Colombia, the government established mandatory isolation after the first case of COVID-19 was reported. As a diabetes care center specialized in technology, we developed a virtual training program for patients with type 1 diabetes (T1D) who were upgrading to hybrid closed loop (HCL) system. The aim of this study is to describe the efficacy and safety outcomes of the virtual training program.

METHOD

ology: A prospective observational cohort study was performed, including patients with diagnosis of T1D previously treated with multiple doses of insulin (MDI) or sensor augmented pump therapy (SAP) who were updating to HCL system, from March to July 2020. Virtual training and follow-up were done through the Zoom video conferencing application and Medtronic Carelink System version 3.1 software. CGM data were analyzed to compare the time in range (TIR), time below range (TBR) and glycemic variability, during the first two weeks corresponding to manual mode with the final two weeks of follow-up in automatic mode.

RESULTS

91 patients were included. Mean TIR achieved with manual mode was 77.3 ± 11.3, increasing to 81.6% ± 7.6 (p < 0.001) after two weeks of auto mode use. A significant reduction in TBR <70 mg/dL (2,7% ± 2,28 vs 1,83% ± 1,67, p < 0,001) and in glycemic variability (% coefficient of variation 32.4 vs 29.7, p < 0.001) was evident, independently of baseline therapy.

CONCLUSION

HCL systems allows T1D patients to improve TIR, TBR and glycemic variability independently of previous treatment. Virtual training can be used during situations that limit the access of patients to follow-up centers.

Clouds and Silver Linings: COVID-19 Pandemic Is an Opportune Moment to Democratize Diabetes Care Through Telehealth

With the recent pivot to telehealth as a direct result of the COVID-19 pandemic, there is an imperative to ensure that access to affordable devices and technologies with remote monitoring capabilities for people with diabetes becomes equitable. In addition, expanding the use of remote Diabetes Self-Management Education and Support (DSMES) and Medical Nutrition Therapy (MNT) services will require new strategies for achieving long-term, effective, continuous, data-driven care. The current COVID-19 pandemic has especially impacted underserved US communities that were already disproportionately impacted by diabetes. Historically, these same communities have faced barriers in accessing timely and effective diabetes care including access to DSMES and MNT services, and diabetes technologies. Our call to action encourages all involved to urge US Federal representatives to widen access to the array of technologies necessary for successful telehealth-delivered care beyond COVID-19.