Adoption of Telemedicine for Type 1 Diabetes Care During the COVID-19 Pandemic

Diabetes visits in paediatric versus adult clinics for young adults (YA) with T1D: Pre-pandemic and pandemic care

BACKGROUND

Young adults (YA) with type 1 diabetes mellitus (T1D) are at high risk of worsening glycated haemoglobin (HbA1c) with fewer follow-up visits. We examined the association of demographic and diabetes characteristics with care utilization, including in-person and telehealth visits, pre- (1 April 2019 to 15 March 2020) and during the COVID-19 pandemic (30 March 2020 to 15 March 2021) for YA (ages: 18-30) with T1D, comparing those seen in paediatric versus adult diabetes clinics at a single diabetes centre.

METHODS

Data were obtained from the electronic health record for YA with a pre-pandemic HbA1c. We performed descriptive statistics to describe the sample and paired t-tests to compare visits before and during the pandemic.

RESULTS

Data from 1762 YA (54% male; age 24.0 ± 3.6 (M ± SD) years; HbA1c 66 ± 18 mmol/mol (8.2 ± 1.6%) revealed that in the full sample, mean pre-pandemic visit frequency was 3.5 ± 3.4 and mean pandemic visit frequency was 3.1 ± 4.1 (p < 0.0001). Furthermore, the pandemic visit frequency declined in the adult clinic regardless of sex, pump therapy, CGM use, and pre-pandemic HbA1c, whereas in the paediatric clinic, visit frequency was only reduced for those with HbA1c <53 mmol/mol (<7%) but was otherwise maintained.

CONCLUSIONS

In this diabetes centre, the paediatric clinic maintained diabetes care delivery during the pandemic (30 March 2020 to 15 March 2021) to YA with glycaemic control above target, suggesting that preservation of remote care delivery should be considered in this high-risk group.

Comparison of Glycemic Control Between In-Person and Virtual Diabetes Consults in Hospitalized Patients With Diabetes

BACKGROUND

There is limited evidence that the diabetes in-person consult in hospitalized patients can be replaced by a virtual consult. During COVID-19 pandemic, the diabetes in-person consult service at the University of Miami and Miami Veterans Affairs Healthcare System transitioned to a virtual model. The aim of this study was to assess the impact of telemedicine on glycemic control after this transition.

METHODS

We retrospectively analyzed glucose metrics from in-person consults (In-person) during January 16 to March 14, 2020 and virtual consults during March 15 to May 14, 2020. Data from virtual consults were analyzed by separating patients infected with COVID-19, who were seen only virtually (Virtual-COVID-19-Pos), and patients who were not infected (Virtual-COVID-19-Neg), or by combining the two groups (Virtual-All).

RESULTS

Patient-day-weighted blood glucose was not significantly different between In-person, Virtual-All, and Virtual-COVID-19-Neg, but Virtual-COVID-19-Pos had significantly higher mean ± SD blood glucose (mg/dL) compared with others (206.7 ± 49.6 In-person, 214.6 ± 56.2 Virtual-All, 206.5 ± 57.2 Virtual-COVID-19-Neg, 229.7 ± 51.6 Virtual-COVID-19-Pos; P = .015). A significantly less percentage of patients in this group also achieved a mean ± SD glucose target of 140 to 180 mg/dL (23.8 ± 22.5 In-person, 21.5 ± 20.5 Virtual-All, 25.3 ± 20.8 Virtual-COVID-19-Neg, and 14.4±18.1 Virtual-COVID-19-Pos, P = .024), but there was no significant difference between In-person, Virtual-All, and Virtual-COVID-19-Neg. The occurrence of hypoglycemia was not significantly different among groups.

CONCLUSIONS

In-person and virtual consults delivered by a diabetes team at an academic institution were not associated with significant differences in glycemic control. These real-world data suggest that telemedicine could be used for in-patient diabetes management, although additional studies are needed to better assess clinical outcomes and safety.

Can a mobile application improve glucose-related and patient-reported outcome measures (PROMs) in people with type 1 diabetes mellitus? A randomized controlled trial using the mySugr® app

PURPOSE

Mobile applications (apps) have proven to be highly effective tools to empower patients with type 1 diabetes mellitus (T1DM) and enable them to achieve better self-care, quality of life (QOL), and glycemic control. The aim of the study is to examine whether mySugr®, an app for diabetes management, together with teleconsultations, can have a positive impact on these factors and, thereby, replace current clinical care.

METHODS

This study concerns an exploratory randomized clinical trial of 12 months' duration. People with T1DM using multiple daily injections were randomized to usual care (bolus calculator, five face-to-face visits) or intervention (mySugr® app, three face-to-face visits, and two teleconsultations). The main outcome was increase in empowerment assessed with the Diabetes Empowerment Scale Short Form questionnaire (DES-SF-S). Secondary outcomes were change in additional glucose-related (blood glucose monitoring, mean blood glucose, standard deviation, coefficient of variation (CV), and high and low blood glucose index) and patient-reported outcome measures (PROMs) (self-management, QOL, and distress).

RESULTS

A total of 25 out of 28 participants completed the study (52% men, age 44.52 years, diabetes duration 21.28 years). At 12 months, no significant differences were identified in the change of DES-SF-S and additional PROMs between arms. Similarly, no differences were observed in glucose-related outcomes except for the change in CV at 9 (control - 1.87 ± 4.98 vs. intervention 5.89 ± 11.33, p = 0.008) and 12 months (control - 2.33 ± 3.54 vs. intervention 5.12 ± 11.32, p = 0.018). Adherence to and satisfaction with the app were high.

CONCLUSION

Patients with diabetes using the mySugr® app and teleconsultation achieved similar results to those following usual care in empowerment, other PROMs, and most glucose-related outcomes, thus supporting its use in combination with face-to-face visits. The RCT was registered with ClinicalTrials.gov (NCT03819335, first registration 28/01/2019).

Integration of Continuous Glucose Monitoring Data into an Electronic Health Record System: Single-Center Implementation

Managing data from continuous glucose monitoring (CGM) systems presents challenges to health care provider teams that rely on the electronic health record (EHR) during patient visits. A method of integrating CGM data with the EHR that relies on the Dexcom API was developed by Northwestern Medicine and Dexcom to address these challenges. Here, we describe the data management steps and user interface of the integrated system. Providers can access patients' historical and latest daily CGM data in the form of modal day plots and stacked columns showing time in various glucose concentration ranges. The integration facilitates the acquisition, storage, analysis, and display of CGM data within an EHR system and may be appropriate for deployment in other health care facilities.

Alterations in care for children with special healthcare needs during the early COVID-19 pandemic: ethical and policy considerations

Healthcare delivery and access, both in the United States and globally, were negatively affected during the entirety of the COVID-19 pandemic. This was particularly true during the first year when countries grappled with high rates of illness and implemented non-pharmaceutical interventions such as stay-at-home orders. Among children with special healthcare needs, research from the United Kingdom (U.K.) has shown that the pandemic response uniquely impacted various aspects of their care, including decreased access to care, delays in diagnosis, and poorer chronic disease control. In response to these findings, and to begin to comprehend whether the concerning findings from the nationalized system of healthcare in the U.K. extend to the highly dissimilar United States (U.S.) healthcare context, we reviewed the literature on alterations in access to and delivery of care during the early stages of the COVID-19 pandemic for children with special healthcare needs in the U.S. We then utilize these findings to consider the ethical and policy considerations of alterations in healthcare provision during pandemics and crisis events in the U.K. and U.S. and make recommendations regarding how the needs of CSHCN should be considered during future responses.

Impact of Telemedicine Versus In-Person Pediatric Outpatient Type 1 Diabetes Visits on Immediate Glycemic Control: Retrospective Chart Review

BACKGROUND

Children and adolescents with type 1 diabetes require frequent outpatient evaluation to assess glucose trends, modify insulin doses, and screen for comorbidities. Continuous glucose monitoring (CGM) provides a detailed glycemic control assessment. Telemedicine has been increasingly used since the COVID-19 pandemic.

OBJECTIVE

To investigate CGM profile parameter improvement immediately following pediatric outpatient diabetes visits and determine if visit modality impacted these metrics, completion of screening laboratory tests, or diabetic emergency occurrence.

METHODS

A dual-center retrospective review of medical records assessed the CGM metrics time in range and glucose management indicator for pediatric outpatient diabetes visits during 2021. Baseline values were compared with those at 2 and 4 weeks post visit. Rates of completion of screening laboratory tests and diabetic emergencies following visits were determined.

RESULTS

A total of 269 outpatient visits (41.2% telemedicine) were included. Mean time in range increased by 1.63% and 1.35% at 2 and 4 weeks post visit (P=.003 and .01, respectively). Mean glucose management indicator decreased by 0.07% and 0.06% at 2 and 4 weeks post visit (P=.003 and .02, respectively). These improvements in time in range and glucose management indicator were seen across both telemedicine visits and in-person visits without a significant difference. However, patients seen in person were 2.69 times more likely to complete screening laboratory tests (P=.03). Diabetic emergencies occurred too infrequently to analyze.

CONCLUSIONS

Our findings demonstrate an immediate improvement in CGM metrics following outpatient visits, regardless of modality. While statistically significant, the magnitude of these changes was small; hence, multiple visits over time would be required to achieve clinically relevant improvement. However, completion of screening laboratory tests was found to be more likely after visits occurring in person. Therefore, we suggest a hybrid approach that allows patient convenience with telemedicine but also incorporates periodic in-person assessment.

The Type of Patient Training Does Not Impact Outcomes in the First 90 Days of Automated Insulin Delivery Use

Background: Youth starting Omnipod 5 (OP5) can onboard with a diabetes educator or self-start with support from online, industry-provided educational modules. We compared glycemic control and pump interaction by training type among youth initiating OP5. Methods: This retrospective review included 297 youth with type 1 diabetes (T1D) aged <22 years initiating OP5. We analyzed baseline continuous glucose monitor (CGM) data and pump and CGM data from the first 90 days of OP5 use. Multilevel mixed-effects regression assessed for changes in time in range (TIR) from baseline to 90 days by training type. Results: Of youth initiating OP5, 42.4% trained with a diabetes educator and 57.6% self-started. At baseline, self-starters had a longer T1D duration (5.0 (2.6,7.9) vs. 2.5 (1.3, 5.5) years, P = 0.001), more time <54 mg/dL (0.3% (0.1,1) vs. 0.15% (0,1), P = 0.01), and a higher coefficient of variation (40.2% (37, 44.4) vs. 38.7% (34.4, 42.4), P = 0.004). After 90 days of OP5 use, groups did not differ in time in automated mode or boluses per day. In a longitudinal model, after adjusting for baseline TIR and T1D duration, 90-day TIR was 10.5%-points higher (CI: 9.2-11.8, P < 0.0001), positively associated with baseline TIR (β = 0.82, CI: 0.78-0.85, P < 0.0001), and 1.1%-points greater among self-starters (CI: 0.06-2.2; P = 0.04). Conclusions: After 90 days of OP5 use, glycemic control and pump interactions were minimally different between youth who self-started and those who trained with a diabetes educator. For youth at a tertiary care center previously using an Omnipod system, online educational modules offered by industry provide sufficient training for use.

Depression Rates in Youth With Type 1 Diabetes During the COVID-19 Pandemic: Data From the T1D Exchange Quality Improvement Collaborative

This study used data from the T1D Exchange Quality Improvement Collaborative to compare depression rates in youth with type 1 diabetes before and during the coronavirus disease 2019 (COVID-19) pandemic and identify characteristics of individuals with moderate-to-severe depressive symptoms. Rates of moderate-to-severe depressive symptoms remained stable before and during the pandemic, at 9.6-10.7%. During the pandemic, youth who screened positive for depression were more likely to be female and on public insurance, to have a higher A1C, and to have a history of diabetic ketoacidosis or severe hypoglycemia. They were less likely to identify as non-Hispanic White and more likely to identify as Hispanic.

Experiences of people with diabetes mellitus of telehealth for diabetes management during the COVID-19 pandemic: a qualitative systematic review protocol

OBJECTIVE

The objective of this review is to explore the experiences of people with diabetes who used telehealth for diabetes management due to COVID-19 pandemic protocols rather than traditional in-person consultations.

INTRODUCTION

COVID-19 intensified globally from January 2020, eliciting a multinational response to infection control for health preservation, including social distancing in public areas and health care settings. The outcome had a significant impact on the health care system, where people with chronic diseases, such as those with diabetes, were required to transition most of their care to telehealth to align with social restrictions.

INCLUSION CRITERIA

This review will include qualitative and mixed methods studies and theses of any research design and in any language that examine the experiences of adults with diabetes who transitioned from in-person consultations to telehealth during the COVID-19 pandemic. Exclusions will include pre-COVID-19 data; quantitative studies; and secondary, tertiary, and all other gray literature.

METHODS

A search of CINAHL (EBSCOhost), Scopus, Emcare (Ovid), Embase, PubMed (NCBI), and several ProQuest databases will be conducted. Studies from January 2020 onwards in any language will be assessed for inclusion. Two independent reviewers will retrieve and screen titles and abstracts and full-text studies, and assess the methodological quality of the included studies utilizing the JBI qualitative critical appraisal tool. The included studies will be synthesized utilizing JBI meta-aggregation, and the certainty of the findings will be assessed with ConQual.

REVIEW REGISTRATION

PROSPERO CRD42023424667.

Changes in Pediatric Type 2 Diabetes During the COVID-19 Pandemic

Type 2 diabetes (T2D) is a growing concern among the pediatric population. During the coronavirus disease 2019 (COVID-19) pandemic, the incidence of pediatric T2D increased. This was more notable among males and Black people. Increased rates of T2D may be due to rising obesity rates observed during the pandemic, behavioral and nutritional changes due to the lockdown, and decreased structure typically provided by in-person schooling. New-onset T2D presentations are more severe than in years prior to the pandemic, with higher initial hemoglobin A1C levels and increased rates of diabetic ketoacidosis. Increased severity in presentation may be due to hesitation in seeking care, increased virtual care, and limited access to health care resources. The pathophysiology of the relationship between T2D and COVID-19 in youth is not clear at this time. More studies are needed to understand the true long-term impact of the COVID-19 pandemic on T2D in youth. [Pediatr Ann. 2024;53(7):e249-e253.].

From Surviving to Thriving: A Qualitative Study of Adapting Telehealth Systems for Specialty Diabetes Care Across Four California Medical Centers

Telehealth continues to play an important role in specialty diabetes care, but there are variations in how this care is delivered. This article reports on clinician and clinic staff perspectives on providing specialty telehealth diabetes care at four large academic medical centers in California and provides several key recommendations for optimizing telehealth-delivered diabetes care.

Improving Outcomes for People with Type 1 Diabetes Through Collaboration: Summary of Type 1 Diabetes Exchange Quality Improvement Collaborative Studies

Type 1 diabetes (T1D) management has evolved over the last decade. Innovations and groundbreaking research have paved the way for improved outcomes for people with T1D. One of the major T1D focused research network that has supported real-world research studies in the United States is the T1D Exchange Quality Improvement Collaborative (T1DX-QI) Network.T1DX-QI is a large multicenter network of 55 T1D clinics that uses quality improvement, health equity framework, and population health principles to improve outcomes for people with T1D. This article summarizes insights from T1DX-QI clinical and population health improvement studies.

Technology and health inequities in diabetes care: How do we widen access to underserved populations and utilize technology to improve outcomes for all?

Digital health technologies are being utilized increasingly in the modern management of diabetes. These include tools such as continuous glucose monitoring systems, connected blood glucose monitoring devices, hybrid closed-loop systems, smart insulin pens, telehealth, and smartphone applications (apps). Although many of these technologies have a solid evidence base, from the perspective of a person living with diabetes, there remain multiple barriers preventing their optimal use, creating a digital divide. In this article, we describe many of the origins of these barriers and offer recommendations on widening access to digital health technologies for underserved populations living with diabetes to improve their health outcomes.

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.

Telehealth Fatigue: Is It Real? What Should Be Done?

This commentary article discusses the recent trends and changes in popularity of telehealth usage as well as the most recent efforts to redefine telehealth value and usability. Six strategies to improve the patient experience and increase telehealth acceptance by overcoming simultaneous barriers are presented, which include (1) creating a new healthcare paradigm using telehealth, (2) scheduling the telehealth visit, (3) preparing for the telehealth visit, (4) conducting the telehealth visit, (5) using data and biomarkers, and (6) providing digital equity. With the application of these strategies, we believe that the recent decline in the popularity of telehealth can be reversed.

Roadmap to Achieving Continuous Glucose Monitoring Equity: Insights From the T1D Exchange Quality Improvement Collaborative

This article describes successful interventions from the T1D Exchange Quality Improvement Collaborative (T1DX-QI) to reduce inequities in access to and use of continuous glucose monitoring (CGM). The author proposes a roadmap with recommendations for different stakeholders to achieve CGM equity using insights from the T1DX-QI experience.

Real-World Glycemic Outcomes with Early Omnipod 5 Use in Youth with Type 1 Diabetes

Background: Pivotal trials of diabetes technologies have demonstrated glycemic improvements; however, these trials include patients of limited diversity and ranges of glycemic control. We assessed changes in glycemic control during the first 90 days of Omnipod 5 use in a real-world cohort of youth with type 1 diabetes (T1D). Methods: Youth 2-21 years with T1D initiating Omnipod 5 at two pediatric academic centers were included. Fourteen days of baseline (BL) continuous glucose monitoring (CGM) data were compared against data from the first 90 days of Omnipod 5 use. Outcome measures included changes in time in range (TIR), hemoglobin A1c (HbA1c), and CGM and insulin pump metrics based on the duration of Omnipod 5 use. Results: Among 195 youth (78.9% non-Hispanic White, 15.4% publicly insured, age 11.7 years, T1D duration 3.3 years) TIR increased 11%-points, from 49% to 61% (P < 0.001), and HbA1c decreased 0.5%-points, from 7.5% to 6.9% (P < 0.001). TIR improved within the first 9 days of Omnipod 5 use (p < 0.001) and did not change significantly thereafter (P = 0.1) despite decreases in user-initiated boluses (5.1 vs. 5.0, P = 0.01) and carbohydrate entries (4.2 vs. 4.1, P = 0.005) from days 1-9 to days 1-90. TIR improved 15%-points among youth with BL TIR <60% compared to a 5%-point increase for youth with BL TIR ≥60% (P < 0.001). Conclusions: Glycemic control improved within 9 days of Omnipod 5 initiation in this real-world cohort, and improvements were sustained over the first 90 days of use despite concomitant decreases in user-initiated boluses. These improvements were comparable to those observed in the pivotal trial.

Healthcare professional and manager perceptions on drivers, benefits, and challenges of telemedicine: results from a cross-sectional survey in the Italian NHS

BACKGROUND

The Covid-19 pandemic provided new challenges and opportunities for patients and healthcare providers while accelerating the trend of digital healthcare transformation. This study explores the perspectives of healthcare professionals and managers on (i) drivers to the implementation of telemedicine services and (ii) perceived benefits and challenges related to the use of telemedicine across the Italian National Health Service.

METHODS

An online cross-sectional survey was distributed to professionals working within 308 healthcare organisations in different Italian regions. Quantitative and qualitative data were collected through a self-administered questionnaire (June-September 2021). Responses were analysed using summary statistics and thematic analysis.

RESULTS

Key factors driving the adoption of telemedicine have been grouped into (i) organisational drivers (reduce the virus spread-80%; enhance care quality and efficiency-61%), (ii) technological drivers (ease of use-82%; efficacy and reliability-64%; compliance with data governance regulations-64%) and (iii) regulatory drivers (regulations' semplification-84%). Nearly all respondents perceive telemedicine as useful in improving patient care (96%). The main benefits reported by respondents are shorter waiting lists, reduced Emergency Department attendance, decreased patient and clinician travel, and more frequent patient-doctor interactions. However, only 7% of respondents believe that telemedicine services are more effective than traditional care and 66% of the healthcare professionals believe that telemedicine can't completely substitute in-person visits due to challenges with physical examination and patient-doctor relationships. Other reported challenges include poor quality and interoperability of telemedicine platforms and scarce integration of telemedicine with traditional care services. Moreover, healthcare professionals believe that some groups of patients experience difficulties in accessing and using the technologies due to socio-cultural factors, technological and linguistic challenges and the absence of caregivers.

CONCLUSIONS

Respondents believe that telemedicine can be useful to complement and augment traditional care. However, many challenges still need to be overcome to fully consider telemedicine a standard of care. Strategies that could help address these challenges include additional regulations on data governance and reimbursements, evidence-based guidelines for the use of telemedicine, greater integration of tools and processes, patient-centred training for clinicians, patient-facing material to assist patients in navigating virtual sessions, different language options, and greater involvement of caregivers in the care process.

Institutional Barriers to the Successful Implementation of Telemedicine for Type 1 Diabetes Care

The aim of this study was to describe rates of telemedicine use 18 months after the start of the coronavirus disease 2019 pandemic and to assess the institutional barriers to its implementation for type 1 diabetes care across centers of the T1D Exchange Quality Improvement Collaborative. Observational electronic health record data capturing telemedicine rates from 15 U.S. centers between September 2020 and September 2021 and a survey of 33 centers capturing telemedicine rates and key components of telemedicine were analyzed. A capacity score was developed and summed to a total capacity score and compared with overall telemedicine rates across centers. Telemedicine visits decreased by 17.4% from September 2020 to September 2021. Generally, it was observed that the lower the average telemedicine capacity score, the lower the rate of telemedicine visits. Despite a decline in the utilization of telemedicine 18 months after the start of the pandemic, visit rates were still 20% higher than in the pre-pandemic period. However, there is a need to improve structural components to ensure telemedicine capacity and robust telemedicine utilization.

Virtual Peer Groups Reduce HbA1c and Increase Continuous Glucose Monitor Use in Adolescents and Young Adults with Type 1 Diabetes

Background: Adolescents and young adults (AYA) from diverse and marginalized backgrounds with type 1 diabetes (T1D) generally have higher hemoglobin A1c (HbA1c) levels and less frequent continuous glucose monitor (CGM) use than AYA from more privileged backgrounds. Further, scant data address the impact of virtual peer groups (VPG) on health-related outcomes for ethnically and racially diverse AYA with T1D. Methods: CoYoT1 to California was a 15-month randomized controlled trial for AYA aged 16-25 years. In this study, AYA were randomized to receive standard care (n = 28), or CoYoT1 care (n = 40), which consisted of person-centered provider visits and bimonthly VPG. VPG were AYA-driven discussions. AYA completed the Diabetes Distress Scale (DDS), Center for Epidemiologic Studies Depression (CES-D), and Diabetes Empowerment Scale-Short Form (DES-SF) scales at baseline and all study visits. Results: Participants were 50% Latinx and 75% publicly insured. Among CoYoT1 care participants, 19 attended at least 1 VPG session (VPG attendees) and 21 did not attend any VPG sessions. VPG attendees participated in 4.1 VPG sessions on average. VPG attendees had a relative reduction in HbA1C (treatment effect -1.08%, effect sizes values [ES] = -0.49, P = 0.04) and increase in CGM use (treatment effect +47%, ES = 1.00, P = 0.02) compared to standard care. VPG participation was not associated with statistically significant changes in DDS, CES-D, and DES-SF scores. Conclusions: In a 15-month randomized controlled trial, AYA with T1D who participated in VPG reported significant improvements in HbA1c and CGM use. Peer interactions may support unmet needs of AYA with T1D from diverse and marginalized backgrounds. ClinicalTrials.gov Identifier: NCT03793673.

Use of Telemedicine in Adults with Type 1 Diabetes: Do Age and Use of Diabetes-Related Technology Matter?

Objective: Older adults are generally less proficient in technology use compared with younger adults. Data on telemedicine use during the COVID-19 pandemic in older persons with type 1 diabetes (T1D) and the association of telemedicine with the use of diabetes-related technology are limited. We evaluated care delivery to older adults compared with younger adults with T1D in a prepandemic and pandemic period. Methods: Data from electronic health records were evaluated for visit types (in-person, phone, and video) from two sequential 12-month intervals: prepandemic (April 2019-March 2020) and pandemic (April 2020-March 2021). Results: Data from 2,832 unique adults with T1D were evaluated in two age cohorts: younger (40-64 years) and older (≥65 years). Half of each group used continuous glucose monitoring (CGM), whereas 54% of the younger and 37% of the older cohort used pump therapy (p < 0.001). During the pandemic compared with the prepandemic period, visit frequency increased in both the younger (0.65 vs. 0.76 visits/patient/quarter; p < 0.01) and older (0.72 vs. 0.80 visits/patient/quarter; p < 0.01) cohorts. During the pandemic, older adults used more phone visits compared with younger adults (48% vs. 32%; p = 0.001). Patients using either pump therapy or CGM were more likely to use video visits compared with phone visits in both younger (41% vs. 24%; p < 0.001) and older cohorts (53% vs. 42%; p < 0.001). Conclusions: Adults using diabetes-related technologies, independent of age, accessed more video visits than those not using devices. Telemedicine visits appeared to maintain continuity of care for younger and older adults with T1D, supporting the future of a hybrid-care model.

Advanced Hybrid Closed Loop users' satisfaction of telemedicine and telenursing in pediatric and young adult type 1 diabetes

Background and aims

The aim of the study was to evaluate the satisfaction of the use of telemedicine and telenursing in children and young adults with Type 1 Diabetes (T1D) using Advanced Hybrid Closed Loop systems (AHCL) with a focus on the role of connectivity, data download and the ease of technical steps in the set and sensor change procedures.

Methods

An online anonymous survey was administered to AHCL users. The questionnaire consisted of five Clusters: Cluster A-B-C included questions related to the general satisfaction in the use of telemedicine, Cluster D was focused on the role of data download and connectivity, Cluster E was related to satisfaction in telenursing and Cluster F to the perception of ease of execution of the technical steps like changing the infusion set and the sensor.

Results

We collected 136 completed questionnaires. 83.8% of AHCL users were overall satisfied with the quality of the telemedicine service. 88.2% of patients downloaded AHCL data before visits and the overall quality of televisits (data sharing, connectivity, ease of use) was satisfactory for 85.3% of users. Telenursing support during set and sensor change procedures was considered effective by 98% of AHCL users. The sensor and insulin infusion set change procedure is perceived as different for the two systems: set change simpler for Medtronic (p = 0.011) users, while sensor change was simpler for Tandem users (p = 0.009).

Conclusion

Telemedicine and telenursing have an essential role in diabetology and are highly appreciated in AHCL users. The nurse support in the education of the use of AHCL systems is effective and must be implemented. Unfortunately, not all patients have the technological tools needed for downloading data at home and using telemedicine services; this represents an important challenge for the future of diabetology and for the equity in accessibility to care.

Blue Circle Health: A Novel Patient-Centered Model of Health Care Delivery for Low-Income Patients With Type 1 Diabetes

Analog insulins, insulin pumps, and continuous glucose monitors (CGM) have revolutionized type 1 diabetes (T1D) treatment over the last 50 years. Nevertheless, less than 20% of patients in the United States reach guideline-based HbA1c targets. The dysfunctional delivery of U.S. health care has further worsened glycemic outcomes among structurally disadvantaged groups such as non-Hispanic Black and low-income populations. Administrative complexities resulting from mixed insurance coverage and delivery systems, incongruity between effective policies and reimbursement, structural racism, and implicit biases have led to high diabetes care-related costs, provider scarcity and burnout, and patient diabetes distress. The Extension for Community Healthcare Outcomes (ECHO) Diabetes tele-education outreach model was created to increase self-efficacy among primary care providers through a combination of weekly didactic sessions led by a team of diabetes experts and access to community-based peer coaches. As an evolution of ECHO Diabetes, Blue Circle Health has been established as a philanthropically funded health care delivery system, using a whole-person, individualized approach to T1D care for adults living in underserved communities. The program will provide direct-to-patient telehealth services, including diabetes education, management, and related psychological care regardless of ability to pay. Community-based diabetes support coaches will serve as the primary point of contact, or guide on the "Blue Circle Health Member Journey." Access to needed insulins, supplies, and CGMs will be provided at no cost to the individual. Through a continuous learning and improvement model, a person-centered, equitable, accessible, and effective health care delivery model will be built for people living with T1D.

Establishing a Cystic Fibrosis Learning Network: Interventions to promote collaboration and data-driven improvement at scale

Introduction

A learning health network is a type of learning health system in which stakeholders use network organization to improve health and health care. Building on existing resources in the cystic fibrosis (CF) community, the Cystic Fibrosis Learning Network (CFLN) was designed to improve medical outcomes and quality of life through an intentional focus on achieving reliable evidence-based chronic care delivery and creating a system for data-driven collaborative learning.

Methods

We describe the development and growth of the CFLN considering six domains of a Network Maturity Grid: system leadership; governance and policy management; quality improvement (QI); engagement and community building; data and analytics; and research. We illustrate the impact of the CFLN experience on chronic care processes and indicators of collaborative infrastructure.

Results

The CFLN represents 36 accredited care centers in the CF Foundation Care Center Network caring for over 6300 patients. Of 6779 patient clinical care visits/quarter, 77% are entered into the CF Foundation Patient Registry within 30 days, providing timely means to track outcomes. Collaborative visit planning is occurring in 93% of clinical care visits to share agenda setting with patients and families. Almost all CFLN teams (94%, n = 34) have a patient/family partner (PFP), and 74% of PFPs indicate they are actively participating, taking ownership of, or leading QI initiatives with the interdisciplinary care team. In 2022, 97% of centers reported completing 1-13 improvement cycles per month, and 82% contributed to monthly QI progress reports to share learning.

Conclusion

The CFLN is a maturing, collaborative infrastructure. CFLN centers practice at an advanced level of coproduction. The CFLN fosters interdisciplinary and PFP leadership and the performance of consistent data-driven improvement cycles. CFLN centers are positioned to respond to rapid changes in evidence-based care and advance the practice of QI and implementation science on a broader scale.

Telehealth model versus in-person standard care for persons with type 1 diabetes treated with multiple daily injections: an open-label randomized controlled trial

Objective

Increasing evidence indicates that the telehealth (TH) model is noninferior to the in-person approach regarding metabolic control in type 1 diabetes (T1D) and offers advantages such as a decrease in travel time and increased accessibility for shorter/frequent visits. The primary aim of this study was to compare the change in glycated hemoglobin (HbA1c) at 6 months in T1D care in a rural area between TH and in-person visits.

Research design and methods

Randomized controlled, open-label, parallel-arm study among adults with T1D. Participants were submitted to in-person visits at baseline and at months 3 and 6 (conventional group) or teleconsultation in months 1 to 4 plus 2 in-person visits (baseline and 6 months) (TH group). Mixed effects models estimated differences in HbA1c changes.

Results

Fifty-five participants were included (29 conventional/26 TH). No significant differences in HbA1c between groups were found. Significant improvement in time in range (5.40, 95% confidence interval (CI): 0.43-10.38; p < 0.05) and in time above range (-6.34, 95% CI: -12.13- -0.55;p < 0.05) in the TH group and an improvement in the Diabetes Quality of Life questionnaire (EsDQoL) score (-7.65, 95% CI: -14.67 - -0.63; p < 0.05) were observed. In TH, the costs for the participants were lower.

Conclusions

The TH model is comparable to in-person visits regarding HbA1c levels at the 6-month follow-up, with significant improvement in some glucose metrics and health-related quality of life. Further studies are necessary to evaluate a more efficient timing of the TH visits.

The impact of the covid-19 pandemic on diabetes care: the perspective of healthcare providers across Europe

AIMS

Covid-19 caused changes on the delivery of diabetes care. This study aimed to explore perceptions of healthcare providers across Europe concerning 1) the impact of covid-19 on delivery of diabetes care; 2) impact of changes in diabetes care on experienced workload; 3) experiences with video consultation in diabetes care.

METHODS

Cross-sectional survey among healthcare providers in the Netherlands, United Kingdom, Turkey, Ukraine and Sweden, with a focus on primary care.

RESULTS

The survey was completed by 180 healthcare providers. During the COVID-19 pandemic 57.1% of respondents provided less diabetes care and 72.8% observed a negative impact on people with diabetes. More than half of respondents (61.9%) expressed worries to some extent about getting overloaded by work. Although the vast majority considered their work meaningful (85.6%). Almost half of healthcare providers (49.4%) thought that after the pandemic video-consultation could be blended with face-to-face contact.

CONCLUSIONS

Less diabetes care was delivered and a negative impact on people with diabetes was observed by healthcare providers. Despite healthcare providers' feeling overloaded, mental wellbeing seemed unaffected. Video consultations were seen as having potential. Given the remaining covid-19 risks and from the interest of proactive management of people with diabetes, these findings urge for further exploration of incorporating video consultation in diabetes care.

Trial of Hybrid Closed-Loop Control in Young Children with Type 1 Diabetes

BACKGROUND

Closed-loop control systems of insulin delivery may improve glycemic outcomes in young children with type 1 diabetes. The efficacy and safety of initiating a closed-loop system virtually are unclear.

METHODS

In this 13-week, multicenter trial, we randomly assigned, in a 2:1 ratio, children who were at least 2 years of age but younger than 6 years of age who had type 1 diabetes to receive treatment with a closed-loop system of insulin delivery or standard care that included either an insulin pump or multiple daily injections of insulin plus a continuous glucose monitor. The primary outcome was the percentage of time that the glucose level was in the target range of 70 to 180 mg per deciliter, as measured by continuous glucose monitoring. Secondary outcomes included the percentage of time that the glucose level was above 250 mg per deciliter or below 70 mg per deciliter, the mean glucose level, the glycated hemoglobin level, and safety outcomes.

RESULTS

A total of 102 children underwent randomization (68 to the closed-loop group and 34 to the standard-care group); the glycated hemoglobin levels at baseline ranged from 5.2 to 11.5%. Initiation of the closed-loop system was virtual in 55 patients (81%). The mean (±SD) percentage of time that the glucose level was within the target range increased from 56.7±18.0% at baseline to 69.3±11.1% during the 13-week follow-up period in the closed-loop group and from 54.9±14.7% to 55.9±12.6% in the standard-care group (mean adjusted difference, 12.4 percentage points [equivalent to approximately 3 hours per day]; 95% confidence interval, 9.5 to 15.3; P<0.001). We observed similar treatment effects (favoring the closed-loop system) on the percentage of time that the glucose level was above 250 mg per deciliter, on the mean glucose level, and on the glycated hemoglobin level, with no significant between-group difference in the percentage of time that the glucose level was below 70 mg per deciliter. There were two cases of severe hypoglycemia in the closed-loop group and one case in the standard-care group. One case of diabetic ketoacidosis occurred in the closed-loop group.

CONCLUSIONS

In this trial involving young children with type 1 diabetes, the glucose level was in the target range for a greater percentage of time with a closed-loop system than with standard care. (Funded by the National Institute of Diabetes and Digestive and Kidney Diseases; PEDAP ClinicalTrials.gov number, NCT04796779.).

Improvements in Glycemic Outcomes in 4738 Children, Adolescents, and Adults with Type 1 Diabetes Initiating a Tubeless Insulin Management System

INTRODUCTION

Despite recent advances in diabetes technology, most people living with type 1 diabetes mellitus (T1D) are unable to meet glycemic targets. Real-world evidence can provide insight into outcomes achieved with specific treatment devices when used in clinical practice. The aim of this study was to analyze real-world outcomes collected from a large cohort of people living with T1D and initiating treatment with the Omnipod DASH System.

METHODS

In this retrospective observational study, real-world outcomes were analyzed from a database of information collected from people with T1D initiating the Omnipod DASH System. Information in the database was either taken directly from the patient's medical record or self-reported if medical records were unavailable. The primary outcome was change in glycated hemoglobin (HbA1c) from baseline (before initiation) to 3 months after initiation. Secondary outcomes were changes in total daily dose of insulin (TDD) and self-reported frequency of hypoglycemic events (< 70 mg/dL). Results are separated for the adult (≥ 18 years, N = 3341) and pediatric (< 18 years, N = 1397) cohorts.

RESULTS

The change in HbA1c from baseline was  - 0.9 ± 1.6% ( - 10 ± 18 mmol/mol; p < 0.0001) in adults and   - 0.9 ± 2.0% ( - 10 ± 22 mmol/mol; p < 0.0001) in the pediatric cohort. For those previously using multiple daily injections, HbA1c decreased by  - 1.0 ± 1.7% ( - 11 ± 19 mmol/mol) in adults and   - 1.0 ± 2.1% ( - 11 ± 23 mmol/mol) in the pediatric cohort (both p < 0.0001). Hypoglycemic events decreased in adults from 2.9 to 1.3 episodes per week ( - 1.6 ± 3.2 events/week; p < 0.0001), and in the pediatric cohort from 2.8 to 1.5 episodes per week ( - 1.3 ± 2.7 events/week; p < 0.0001). In adults, TDD decreased by 19.9% (p < 0.0001), and it remained stable in the pediatric cohort (p > 0.05).

CONCLUSIONS

Real-world outcomes from this large cohort of people initiating therapy with the Omnipod DASH System showed significant improvement in HbA1c and a substantial reduction in hypoglycemic events after 3 months of use.

Clinical Practice Experiences Using a Professional Diabetes Management Ecosystem During COVID

BACKGROUND

Challenges of patient care in diabetes were exacerbated by COVID, undermining the ability of patients to engage in-person with health care professionals (HCPs). To combat this, there has been accelerated adoption of telemedicine to support patient and provider connectivity.

METHODS

We collated survey information regarding telemedicine from 21 European clinical institutions. Health care professionals joined virtual meetings focusing on the OneTouch Reveal (OTR) ecosystem and its utility for conducting telemedicine. Selected HCPs provided clinical case studies to explain how the OTR ecosystem supported patient care.

RESULTS

Remote consultations increased by nearly 50% in 21 European clinics during the pandemic (Belgium [24%], Iberia [65%], Germany [34%], Italy [54%]). In all, 52% of people with diabetes using OTR app to connect remotely with HCPs had type 1 diabetes and 48% had type 2 diabetes. Remote connection methods included telephone (60%), email (19%), video chat (10%), text only (3%), or a mix of these methods (8%). Health care professionals usually reviewed patient data during consultations (45%) rather than before consultations (25%). Fifty-five percent of HCPs indicated digital ecosystems like OTR ecosystem would become their standard of care for diabetes management. In-depth conversations with HCPs provided a deeper understanding of how a digital ecosystem integrated into clinical practice and population management. In addition, five patient case studies using OTR ecosystem were provided by a selection of our HCPs.

CONCLUSION

Diabetes management solutions, such as OTR ecosystem, supported telemedicine during the pandemic and will continue to play a valuable role in patient care beyond the pandemic.

Telehealth and Type 1 Diabetes Care During COVID-19: Perceptions From Youth of Color, Caregivers, and Health Care Providers

Objective

At the outset of the coronavirus disease 2019 (COVID-19) pandemic, health care systems rapidly implemented telehealth services to maintain continuity of type 1 diabetes care. Youth of color are more likely to have suboptimal glycemic control and may benefit most from efforts to ensure continuity of care. However, research examining the perspectives of families of youth of color regarding telehealth for pediatric type 1 diabetes care is limited. We gathered perspectives from youth of color, their caregivers, and health care providers (HCPs) on telehealth for type 1 diabetes care during COVID-19.

Methods

Fifty participants (22 caregivers, 19 youth, and nine HCPs) completed semi-structured interviews conducted in English (n = 44) or Spanish (n = 6). Transcripts containing mentions of telehealth (n = 33) were included for qualitative analysis to extract themes pertaining to perceptions of type 1 diabetes care and telehealth use during COVID-19.

Results

Themes related to perceptions, feasibility, and quality of telehealth diabetes care were obtained. Most families had positive perceptions of telehealth. Families and HCPs described logistical and technical challenges and noted the potential for disparities in telehealth access and use. Furthermore, caregivers and HCPs felt that the lack of in-person interaction and limited access to clinical data affected the quality of care.

Conclusion

Families of youth of color with type 1 diabetes mostly had positive perceptions of telehealth but also identified issues with feasibility and quality of care. Our findings highlight a need for interventions promoting equal access to telehealth and quality care for all youth with type 1 diabetes to minimize disruptions in care.

Connecting From Afar: Implementation of Remote Data-Sharing for Patients With Type 1 Diabetes on Insulin Pump Therapy

Quality Improvement Success Stories are published by the American Diabetes Association in collaboration with the American College of Physicians and the National Diabetes Education Program. This series is intended to highlight best practices and strategies from programs and clinics that have successfully improved the quality of care for people with diabetes or related conditions. Each article in the series is reviewed and follows a standard format developed by the editors of Clinical Diabetes. The following article describes an effort to improve the remote collection of insulin pump data in an academic center in South Florida.

Implementation of Psychosocial Screening into Diabetes Clinics: Experience from the Type 1 Diabetes Exchange Quality Improvement Network

PURPOSE OF REVIEW

Although advances in diabetes technology and pharmacology have significantly and positively impacted diabetes management and health outcomes for some, diabetes care remains burdensome and can be challenging to balance with other life priorities. The purpose of this article is to review the rationale for assessment of psychosocial domains in diabetes care settings and strategies for the implementation of psychosocial screening into routine practice. Survey data from the Type 1 Diabetes Exchange Quality Improvement Network is highlighted.

RECENT FINDINGS

Implementation of psychosocial screening requires identifying the population; selecting validated tools to assess target domains; determining frequency of screening and mode of survey delivery; and scoring, interpreting, documenting, and facilitating referrals such that these processes are part of clinical workflows. Recognizing the influence of psychosocial factors for people with diabetes (PWD), professional society guidelines for comprehensive diabetes care recommend the integration of psychosocial screening into routine care.

Patients’ preferences for telemedicine versus in-clinic consultation in primary care during the COVID-19 pandemic

Background

The Hybrid Patient Care system integrates telehealth and in-clinic consultation. While COVID-19 increased telehealth use, healthcare providers are still seeking the best combination of virtual and in-clinic consultation. Understanding patients’ tele-consultation-related preferences is vital for achieving optimal implementation. The discrete choice experiment (DCE) is the stated preference technique for eliciting individual preferences and is increasingly being used in health-related applications.

The study purpose was to evaluate attributes and levels of the DCE regarding patients’ preferences for telemedicine versus traditional, in-clinic consultation in primary care during the COVID-19 pandemic, in order to facilitate successful implementation.

Methods

A three-phase structure was used in the qualitative stage of the DCE: (1) a literature review and preparation of interview guides; (2) Eight focus group interviews comprised of 26 patients and 33 physicians; and (3) Attribute selection: a ranking exercise among 48 patients. The Think Aloud technique, in which respondents are asked to verbalize their thoughts, was used in the focus groups. Interview data were analyzed by thematic analysis.

Results

Eight attributes were proposed by the patients in the focus groups. The four most important attributes were then selected in pre-testing, and are described in this study: Availability, time until the appointment, severity of the medical problem, patient-physician relationship, and flexible reception hours.

Conclusions

This study has a theoretical contribution in post-COVID-19 patients’ preferences in Hybrid Medicine patient care. This provides a foundation to assess the rigors of this stage and provide additional evidence to the limited existing literature on attributes development for DCE patient preferences.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12875-022-01640-y.

An exploratory analysis of the impact of the COVID-19 pandemic on pediatric type 1 diabetes mellitus patient outcomes: A single-center study

Background

The COVID-19 pandemic led to substantial shifts in pediatric diabetes care delivery to virtual and hybrid models. It is unclear if these changes in care delivery impacted short-term patient outcomes.

Objectives

We aimed to explore glycemic control and other diabetes-related outcomes in children living with Type 1 Diabetes Mellitus (T1DM) during the first year of the COVID-19 pandemic at a tertiary pediatric academic center in Canada.

Subjects

Patients <18 years of age with a confirmed diagnosis of T1DM for at least one year were included.

Methods

This was a retrospective chart review. We compared data from two years pre-pandemic (March 15, 2018-March 14, 2020) to the first year of the pandemic (March 15, 2020-March 14, 2021). The data assessed included glycemic control [Hemoglobin A1c (HbA1c)], diabetic ketoacidosis (DKA), hospital attendance and hospitalizations, hypoglycemia, and hyperglycemia. The generalized estimating equation (GEE) analysis was used to model potential factors affecting the HbA1c and diabetes-related morbidities. Multiple imputations were conducted as a sensitivity analysis.

Results

There were 346 eligible patients included in the study. The HbA1c remained stable during the pandemic compared to the pre-pandemic phase (MD-0.14, 95% CI, -0.28, 0.01; p = 0.058). The pandemic saw an increase in the number of newly diagnosed patients (X2 = 16.52, p < 0.001) and a higher number of newly diagnosed patients presenting in DKA (X2 = 12.94, p < 0.001). In patients with established diabetes, there was an increase in hyperglycemia (OR1.38, 95% CI, 1.12,1.71; p = 0.003) and reduced DKA (OR 0.30, 95% CI, 0.12,0.73; p = 0.009) during the pandemic compared to the pre-pandemic phase. Stable rates of hospitalization (OR0.57, 95% CI, 0.31,1.04, p = 0.068) and hypoglycemia (OR1.11, 95% CI, 0.83,1.49; p = 0.484) were noted. These results were retained in the sensitivity analysis.

Conclusions

Glycemic control in children with T1DM remained stable during the first year of the pandemic. There were more newly diagnosed patients during the pandemic compared to the pre-pandemic phase, and more of these new patients presented in DKA. The latter presentation was reduced in those with established diabetes during the same period.Further studies are needed to assess the ongoing impact of the COVID-19 pandemic on T1DM care pathways and outcomes to allow children, families, and diabetes teams to personalize choices of care models.

'Much more convenient, just as effective': Experiences of starting continuous glucose monitoring remotely following Type 1 diabetes diagnosis

AIM

Initiating continuous glucose monitoring (CGM) shortly after Type 1 diabetes diagnosis has glycaemic and quality of life benefits for youth with Type 1 diabetes and their families. The SARS-CoV-2 pandemic led to a rapid shift to virtual delivery of CGM initiation visits. We aimed to understand parents' experiences receiving virtual care to initiate CGM within 30 days of diagnosis.

METHODS

We held focus groups and interviews using a semi-structured interview guide with parents of youth who initiated CGM over telehealth within 30 days of diagnosis during the SARS-CoV-2 pandemic. Questions aimed to explore experiences of starting CGM virtually. Groups and interviews were audio-recorded, transcribed and analysed using thematic analysis.

RESULTS

Participants were 16 English-speaking parents (age 43 ± 6 years; 63% female) of 15 youth (age 9 ± 4 years; 47% female; 47% non-Hispanic White, 20% Hispanic, 13% Asian, 7% Black, 13% other). They described multiple benefits of the virtual visit including convenient access to high-quality care; integrating Type 1 diabetes care into daily life; and being in the comfort of home. A minority experienced challenges with virtual care delivery; most preferred the virtual format. Participants expressed that clinics should offer a choice of virtual or in-person to families initiating CGM in the future.

CONCLUSION

Most parents appreciated receiving CGM initiation education via telehealth and felt it should be an option offered to all families. Further efforts can continue to enhance CGM initiation teaching virtually to address identified barriers.

Monthly video consultation for children and adolescents with type 1 diabetes mellitus during the COVID-19 pandemic

AIMS

To explore the impact of primarily telemedical care for children and adolescents with type 1 diabetes by monthly video consultations on metabolic control and parents' treatment satisfaction and disease-specific burden during the COVID-19 pandemic.

METHODS

In this 12-month multicenter observational follow-up VIDIKI 2.0 study, 100 participants (3-18 years) received monthly video consultations, which partially replaced quarterly outpatient clinic appointments during the pandemic. The children's metabolic parameters as well as the parents' treatment satisfaction and diabetes specific burden were assessed at study entry and 12 months later.

RESULTS

During the study, 912 video consultations took place (mean 0.84 ± 0.23 / patient/month). The children's HbA1c remained stable, while mean sensor glucose level and glucose management indicator decreased. Simultaneously, parents' treatment satisfaction significantly increased, and their diabetes-specific burden and distress decreased.

CONCLUSIONS

Primarily telemedical care of children and adolescents with type 1 diabetes during the COVID-19 pandemic via monthly video consultations resulted in a significant improvement in parents' treatment satisfaction and their diabetes-specific burden and distress. It was associated with a slight improvement in mean sensor glucose and glucose management indicator, while HbA1c remained stable. Thus, video consultations offer great potential to enhance standard care for children and adolescents with diabetes.

Anthropometric Measurements and Laboratory Investigations in Children and Youth With Type 1 Diabetes Before and During the COVID-19 Pandemic

OBJECTIVES

Our aim in this study was to compare rates of anthropometric, blood pressure (BP) and glycated hemoglobin (A1C) measurements and laboratory screening for hypothyroidism, nephropathy and dyslipidemia in children and youth with type 1 diabetes (T1D), 1 year before and after the onset of COVID-19.

METHODS

Clinical data were analyzed from a voluntary registry of children and youth with T1D followed at the BC Children's Hospital between March 2019 and 2021. Logistic and Poisson mixed-effect models were used.

RESULTS

Four hundred forty patients with a median (interquartile range) age and time since diagnosis of 12.7 (9.5 to 15.4) and 4.7 (2.6 to 7.9) years, respectively, were included. Clinic visits were all in-person before March 2020, and 99% via telemedicine afterward. The median number of visits per patient was 2 (interquartile range, 2 to 3), with a 6% increase during the pandemic (relative risk [RR], 1.06; 95% confidence interval [CI], 1.01 to 1.10). There was a substantial decrease in height, weight and BP measurements (RR, 0.32; 95% CI, 0.28 to 0.36; RR, 0.34, 95% CI, 0.31 to 0.38; RR, 0.005, 95% CI, 0.002 to 0.014, respectively); only 49% of patients had anthropometric data and 1% had BP data during the pandemic year, compared with >97% before the pandemic. A1C measurements dropped from 3 (interquartile range, 2 to 4) to 1 (interquartile range, 1 to 2) per patient per year (RR, 0.53; 95% CI, 0.48 to 0.57). Rates of screening investigations were suboptimal before the pandemic, and these rates continued to decline.

CONCLUSIONS

Shifting to telemedicine allowed ongoing care during the pandemic, but the frequency of anthropometric, BP and A1C measurements decreased dramatically. A combined telemedicine/in-person model may be needed to ensure adequate care for this population.

Long-term efficacy of sensor-augmented pump therapy (Minimed 640G system) combined with a telemedicine follow-up in patients with type 1 diabetes: A real life study

Objective

Evaluate the efficacy of a new modality of insulin therapy associating both the sensor-augmented pump therapy with predictive low-glucose management (SAP-PLGM) and a telemedicine follow-up in patients with Type 1 diabetes (T1D) in a real-life setting.

Methods

T1D adults under Minimed 640G system with a telemedicine follow-up for glucose management were included in a retrospective study. The primary endpoint was HbA1c while continuous glucose monitoring parameters (CGM) and treatment compliance were the secondary endpoints. These parameters were analyzed according to the therapeutic indication, HbA1c ≥ 8 % (Group A) or severe hypoglycemic events (Group B) and in patients switched to SAP-PLGM therapy.

Results

62 patients were analyzed with a 28 ± 12 months of follow-up. In Group A, HbA1c decreased from 8.3 ± 0.4 % to 7.7 ± 0.7 % (p < 0.05) and to 7.9 ± 0.3 % (p < 0.05) after 2 and 3 years, respectively. In patients switched to SAP-PLGM therapy, HbA1c decreased from 7.7 ± 0.7 % to 7.2 ± 0.8 % (p < 0.05) at 2 years. After 6 months, the time-below-range (<70 mg/dL) decreased from 2.1 % [0.6-4] to 1.1 % [0.3-2.6] (p < 0.05). Severe hypoglycemic events decreased from 1.62 to 0.5 events/patient/year in Group B (p < 0.05). At 3 years, treatment compliance was 92 % [70-97] in the total population.

Conclusions

Long-term real-life treatment with the SAP-PLGM therapy combined with telemedicine was associated with improved glycemic control in T1D, along with high treatment compliance.

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.

COVID-19 Pandemic and Remote Consultations in Children: A Bibliometric Analysis

Telemedicine is becoming a standard method of consultation, and the COVID-19 pandemic has increased its need. Telemedicine is suitable for non-communicable diseases (NCDs) in the pediatric population, as these are chronic conditions that affect many children worldwide. The aim of this study was to analyze the bibliometric parameters of publications on the use of telemedicine for the most common NCDs in children before and after the COVID-19 pandemic. Following the electronic search, 585 records were selected. "Metabolic diseases" was the most frequent topic before and after the pandemic, accounting for 34.76% in 2017-2019 and 33.97% in 2020-2022. The average IF of the journals from which records were retrieved was 5.46 ± 4.62 before and 4.58 ± 2.82 after the pandemic, with no significant variation. The number of citations per reference averaged 14.71 ± 17.16 in 2017-2019 (95% CI: 12.07; 17.36) and 5.54 ± 13.71 in 2020-2022 (95% CI: 4.23; 6.86). Asthma, metabolic diseases, and neurodevelopmental disorders were the most explored topics. A relevant finding concerns the increasing number of observational studies after the pandemic, with a reduction of the interventional studies. The latter type of study should be recommended as it can increase the evaluation of new strategies for the management of NCDs.

Metabolic Benefit of Teleconsultation for Diabetes Management During the COVID-19 Pandemic: A French Observational Prospective Study

Aim: To investigate the impact of teleconsultation on glycemic control in patients with diabetes during the COVID-19 pandemic. Methods: In this observational prospective study, the main outcome was the comparison of glycated hemoglobin (HbA1c) between patients with or without teleconsultation at 6-month follow-up. Results: From March 17 to May 31, 2020, 610 patients were included, 456 were followed-up using Teleconsultation présent (TC+) and 154 not using No Teleconsultation (TC-). Patients of TC+ Group were younger, 57 ± 17 versus 65 ± 15.5 years (p < 0.001), with a lower body mass index, 28 ± 6.2 kg/m² versus 30 ± 5.8 kg/m², compared to those of TC- Group (p < 0.001). HbA1c were comparable between the two groups: 7.35 ± 0.27% for TC+ versus 7.48 ± 0.22% for TC- Group. At 6-month follow-up, HbA1c was lower in TC+ versus TC- Group: 7.21 ± 0.15% versus 7.6 ± 0.18% (p = 0.004). Conclusion: Our findings point toward the feasibility and usefulness of teleconsultation for the follow-up of patients with diabetes in such exceptional circumstances.

"Pre-Ramadan" telemedicine: Effect on fasting experience and glycemic control during ramadan in people with type 1 diabetes

OBJECTIVE

People with type 1 diabetes (T1D) are advised to have a "pre-Ramadan" visit to receive the assessment and education needed to safely fast during the holy month of Ramadan. The COVID-19 lockdown has interrupted this standard of care in Muslim-majority countries where telemedicine is not well-established. Here, we examined the impact of virtual"pre-Ramadan" visits, as an alternative option to the traditional (in-person) visits, on fasting experience and glycemic control during Ramadan in people with T1D.

METHOD

151 individuals with T1D were categorized into 3 groups according to the type of"pre-Ramadan" visit that they attended in 2020: virtual (n = 50), in-person (n = 56), and no visit (n = 45). Number of days fast was broken and CGM metrics were retrospectively compared across the groups.

RESULT

Patients who had a virtual"pre-Ramadan" visit were more likely to use continuous glucose monitors (CGM) than those who had no visit (61.7% and 38.6%, respectively, p < 0.05). Attending a virtual"pre-Ramadan" visit was associated with the least number of days fast was broken compared to those who had no visit (p < 0.01) or in-person visit (p = 0.02). CGM time in range (TIR) during Ramadan was the highest in those who had virtual "Pre-Ramadan" visits compared to those who had no visit or in-person visits (59%, 44%, and 47%,respectively). After adjusting for age, gender, pre-Ramadan A1c, and CGM use, the odds of fasting most days of Ramadan were highest in the virtual group [OR (CI): 9.13 (1.43, 58.22)] followed by the in-person group [3.02 (0.54,16.68)] compared to the no visit group.

CONCLUSION

Virtual"pre-Ramadan" visits are effective alternative to in-person visits when managing people with T1D who plan to fast during Ramadan.

Use and Perception of Telemedicine in People with Type 1 Diabetes During the COVID-19 Pandemic: A 1-Year Follow-Up

Background: In the spring of 2020, our research group circulated a worldwide survey with the aim of gathering information on the use and perception of telemedicine in people living with type 1 diabetes at the start of the COVID-19 pandemic. The data suggested that a large number of respondents had rapidly adopted to telemedicine, as in-person visits were not possible, and that this was perceived positively by many. In this study, we conducted a 1-year follow-up to investigate changes in opinions and experiences to telemedicine over the past year of the pandemic. Methods: An anonymous questionnaire was distributed through social media (Twitter, Facebook, and Instagram) between May 9 and May 15, 2021, using an open-access web-based platform (SurveyMonkey.com). The survey was identical to that used in the original study, covering questions relating to the use and perception of telemedicine, diabetes treatment and control, and medical supplies during the COVID-19 pandemic. The questionnaire was available in English, Spanish, German, French, and Italian. We compared the results from the two surveys descriptively and statistically, results were stratified according to age, gender, and HbA_1c. Results: There were 531 survey responses from 40 countries (Europe 54%, North America 36%, South America 2%, and Africa and Asia 2%). A large percentage of respondents (67%) reported meeting with their health care provider remotely since the beginning of the pandemic, a significant increase compared with the 28% in the 2020 survey (P < 0.001). Eighty-three percent of respondents found remote appointments to be somewhat-to-extremely useful, similar to the 86% satisfaction rate in the previous survey (P = 0.061). Remote appointments were most frequently undertaken through telephone (50%) and video call (45%), which are significant changes compared with those in 2020 (72% and 28%, respectively, P < 0.001). Forty-five percent of respondents in 2021 were likely to consider remote appointments instead of in-person appointments in the future-being significantly lower than the 75% in the initial survey (P < 0.001)-whereas 37% indicated they would not. The majority of respondents (84%) reported no issues in their access to diabetes supplies and medication over the past year. Conclusions: This study showed that the use of telemedicine in the form of remote appointments increased during the COVID-19 pandemic in people living with type 1 diabetes, with high levels of satisfaction. However, a remarkable decline took place in the past year in the proportion of patients stating a willingness to continue with remote appointments beyond the pandemic. It seems that a personalized approach is needed since a substantial proportion of respondents in this follow-up still indicated a preference for in-person diabetes care, hence the use of telemedicine should be considered on an individual basis.

Challenges and Opportunities in Using Telehealth for Diabetes Care

The ongoing coronavirus pandemic led to a rapid and dramatic increase in the use of telehealth for diabetes care. In the wake of this transition, we examine new opportunities and ongoing challenges for using telehealth within diabetes management, based on data and experiences from the pre-pandemic and pandemic time frames.