scholarly journals The Rapid Transition to Telemedicine and Its Effect on Access to Care for Patients With Type 1 Diabetes During the COVID-19 Pandemic

2021 ◽  
Author(s):  
Daniel R. Tilden ◽  
Karishma A. Datye ◽  
Daniel J. Moore ◽  
Benjamin French ◽  
Sarah S. Jaser
Keyword(s):  
Type 1 Diabetes ◽  
Access To Care ◽  
Diabetes Care ◽  
Demographic Groups ◽  
Rapid Transition ◽  
English Speaking ◽  
Clinically Significant ◽  
Design And Methods ◽  
The Impact

<b>Objective: </b>We compared the uptake of telemedicine for diabetes care across multiple demographic groups during the COVID-19 pandemic to understand the impact of telemedicine adoption on access to care. <p><b>Research Design and Methods:</b> The study analyzed demographic information of patients with type 1 diabetes seen between 1/1/2018 and 6/30/2020 at a single center. We compared the odds of completing a visit via telemedicine across multiple demographic characteristics.</p> <p><b>Results: </b>Among 28,977 patient-visits, the odds of completing a visit via telemedicine were lower among non-English-speaking (1.7% vs. 2.7%, aOR:0.45, 95% CI:0.26-0.79) and Medicaid-insured (32.0% vs. 35.9%, aOR:0.83, 95% CI:0.72-0.95) pediatric patients. No clinically significant differences were observed for other demographic factors.</p> <p><b>Conclusions: </b>Rapid transition to telemedicine did not significantly impact access to diabetes care for most demographic groups. However, disparities in access to care for historically marginalized groups merit close attention to ensure use of telemedicine does not exacerbate these inequities.</p>

scholarly journals The Rapid Transition to Telemedicine and Its Effect on Access to Care for Patients With Type 1 Diabetes During the COVID-19 Pandemic

2021 ◽  
Author(s):  
Daniel R. Tilden ◽  
Karishma A. Datye ◽  
Daniel J. Moore ◽  
Benjamin French ◽  
Sarah S. Jaser
Keyword(s):  
Type 1 Diabetes ◽  
Access To Care ◽  
Diabetes Care ◽  
Demographic Groups ◽  
Rapid Transition ◽  
English Speaking ◽  
Clinically Significant ◽  
Design And Methods ◽  
The Impact

<b>Objective: </b>We compared the uptake of telemedicine for diabetes care across multiple demographic groups during the COVID-19 pandemic to understand the impact of telemedicine adoption on access to care. <p><b>Research Design and Methods:</b> The study analyzed demographic information of patients with type 1 diabetes seen between 1/1/2018 and 6/30/2020 at a single center. We compared the odds of completing a visit via telemedicine across multiple demographic characteristics.</p> <p><b>Results: </b>Among 28,977 patient-visits, the odds of completing a visit via telemedicine were lower among non-English-speaking (1.7% vs. 2.7%, aOR:0.45, 95% CI:0.26-0.79) and Medicaid-insured (32.0% vs. 35.9%, aOR:0.83, 95% CI:0.72-0.95) pediatric patients. No clinically significant differences were observed for other demographic factors.</p> <p><b>Conclusions: </b>Rapid transition to telemedicine did not significantly impact access to diabetes care for most demographic groups. However, disparities in access to care for historically marginalized groups merit close attention to ensure use of telemedicine does not exacerbate these inequities.</p>

scholarly journals The Rapid Transition to Telemedicine and Its Effect on Access to Care for Patients With Type 1 Diabetes During the COVID-19 Pandemic

Diabetes Care ◽  
2021 ◽  
pp. dc202712
Author(s):  
Daniel R. Tilden ◽  
Karishma A. Datye ◽  
Daniel J. Moore ◽  
Benjamin French ◽  
Sarah S. Jaser
Keyword(s):  
Type 1 Diabetes ◽  
Access To Care ◽  
Rapid Transition

Assessing the impact of a youth worker on diabetes care in adolescents with type 1 diabetes

2016 ◽  
Author(s):  
Amanda Peacock ◽  
Matthew Guest ◽  
Julie Cropper ◽  
Sarah Trentham ◽  
Michelle Clarke ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Diabetes Care ◽  
Youth Worker ◽  
The Impact

The impact of real-time continuous glucose monitoring on metabolic control in children with type 1 diabetes

2020 ◽  
Author(s):  
Ruxandra Calapod Ioana ◽  
Irina Bojoga ◽  
Duta Simona Gabriela ◽  
Ana-Maria Stancu ◽  
Amalia Arhire ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Real Time ◽  
Metabolic Control ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
The Impact

A Decade of Disparities in Diabetes Technology Use and HbA1c in Pediatric Type 1 Diabetes: A Trans-Atlantic Comparison

2020 ◽  
Author(s):  
Ananta Addala ◽  
Marie Auzanneau ◽  
Kellee Miller ◽  
Werner Maier ◽  
Nicole Foster ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Technology Use ◽  
Hemoglobin A1c ◽  
Diabetes Technology ◽  
Design And Methods ◽  
Relationship Of ◽  
The Relationship ◽  
Pediatric Type 1 Diabetes

<b>Objective:</b> As diabetes technology use in youth increases worldwide, inequalities in access may exacerbate disparities in hemoglobin A1c (HbA1c). We hypothesized an increasing gap in diabetes technology use by socioeconomic status (SES) would be associated with increased HbA1c disparities. <p> </p> <p><b>Research Design and Methods: </b>Participants aged <18 years with diabetes duration ≥1 year in the Type 1 Diabetes Exchange (T1DX, US, n=16,457) and Diabetes Prospective Follow-up (DPV, Germany, n=39,836) registries were categorized into lowest (Q1) to highest (Q5) SES quintiles. Multiple regression analyses compared the relationship of SES quintiles with diabetes technology use and HbA1c from 2010-2012 and 2016-2018. </p> <p> </p> <p><b>Results: </b>HbA1c was higher in participants with lower SES (in 2010-2012 & 2016-2018, respectively: 8.0% & 7.8% in Q1 and 7.6% & 7.5% in Q5 for DPV; and 9.0% & 9.3% in Q1 and 7.8% & 8.0% in Q5 for T1DX). For DPV, the association between SES and HbA1c did not change between the two time periods, whereas for T1DX, disparities in HbA1c by SES increased significantly (p<0.001). After adjusting for technology use, results for DPV did not change whereas the increase in T1DX was no longer significant.</p> <p> </p> <p><b>Conclusions: </b>Although causal conclusions cannot be drawn, diabetes technology use is lowest and HbA1c is highest in those of the lowest SES quintile in the T1DX and this difference for HbA1c broadened in the last decade. Associations of SES with technology use and HbA1c were weaker in the DPV registry. </p>

Model estimates of the results of diabetes patients using modern glucometers with tri-color technology for displaying test results

2019 ◽  
pp. 81-89
Author(s):  
Larisa Dmitrievna Popovich ◽  
Svetlana Valentinovna Svetlichnaya ◽  
Aleksandr Alekseevich Moiseev
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Economic Benefits ◽  
Test Results ◽  
Self Monitoring ◽  
Patients With Diabetes ◽  
The Impact

Diabetes – a disease in which the effect of the treatment substantially depends on the patient. Known a study showed that the use of glucometers with the technology of three-color display of test results facilitates self-monitoring of blood sugar and leads to a decrease in glycated hemoglobin (HbAlc). Purpose of the study: to modeling the impact of using of a glucometer with a color-coded display on the clinical outcomes of diabetes mellitus and calculating, the potential economic benefits of reducing the hospitalization rate of patients with diabetes. Material and methods. Based on data from two studies (O. Schnell et al. and M. Baxter et al.) simulation of the reduction in the number of complications with the use of a glucometer with a color indication. In a study by O. Schnell et al. a decrease of HbA1c by 0.69 percent is shown when using the considered type of glucometers, which was the basis of the model. Results. In the model, the use of a glucometer with a color-coded display for type 1 diabetes led to a decrease in the total number of complications by 9.2 thousand over 5 years per a cohort of 40 thousand patients with different initial levels of HbA1c. In a cohort of 40 thousand patients with type 2 diabetes, the simulated number of prevented complications was 1.7 thousand over 5 years. When extrapolating these data to all patients with diabetes included in the federal register of diabetes mellitus (FRD), the number of prevented complications was 55.4 thousand cases for type 1 diabetes and 67.1 thousand cases for type 2 diabetes. The possible economic effect from the use of the device by all patients with a diagnosis of diabetes, which are included in the FRD, estimated at 1.5 billion rubles for a cohort of patients with type 1 diabetes and 5.3 billion rubles for patients with type 2 diabetes. Conclusion. Improving the effectiveness of self-monitoring, which is the result of the use of glucometers with color indicators, can potentially significantly reduce the incidence of complications in diabetes and thereby provide significant economic benefits to society.

Care of children with type 1 diabetes mellitus in school – An interventional study

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Umamaheswari Gurunathan ◽  
Hemchand Krishna Prasad ◽  
Sherline White ◽  
Bala Prasanna ◽  
Thangavelu Sangaralingam
Keyword(s):  
Type 1 Diabetes ◽  
Education Program ◽  
School Teachers ◽  
Post Intervention ◽  
Community Based ◽  
Structured Education ◽  
Type 1 Dm ◽  
The Impact ◽  
Determining Factor

AbstractObjectivesPaucity of data from India on care of children with Type 1 diabetes in schools. Aims: To study assess the knowledge, attitude, practices and fear of Type 1 diabetes in school teachers and to assess the impact of an educational model on the fear of teachers and care of children in Type 1 DM at school hours.MethodsA community based study, involving school teachers and the intervention being educating them about diabetes conducted. Data pertaining to basic demography, attitude of teachers towards diabetic children, Hypoglycemia fear factor survey- parent version with worries domain and preparedness of school was collected. An education program was conducted on diabetes care in children. Immediately and after three months, the proforma details and HFSP-W scores reassessed.ResultsForty two teachers (mean age: 38.7±5.4; M:F ratio 2:40) participated in the study. Post intervention, a higher willingness to have the diabetic child in class (100 vs. 57.1%; p>0.05), better support in daily care (100 vs. 92%; p>0.05), participation in sports activities (100 vs. 7.1%; p<0.05) observed. HFSP-W scores were 38.8±4.5 (pre-intervention), 22.5±4.3 (immediate post intervention) and 29.5±3.2 (at 3months) (p<0.05). To study the determinants of improvement in HFSP-W a regression analysis was performed: presence of glucometer the most likely determining factor (T=1.999, p=0.05).ConclusionThere is a significant element of fear in the minds of teachers towards hypoglycemia which improves with a structured education program.

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