Cited by 42Diabetes Management and ResearchTelemedicine and Telehealth ImplementationDiabetes Management and Education

Comprehensive Telehealth Model to Support Diabetes Self-Management

Open access
Aleppo, Grazia, Gal, Robin L., Raghinaru, Dan, Kruger, Davida, Beck, Roy W., Bergenstal, Richard M., Cushman, Terra, Hood, Korey K. +8 more·2023·JAMA Network Open

Abstract

Importance: As the number of patients with diabetes continues to increase in the United States, novel approaches to clinical care access should be considered to meet the care needs for this population, including support for diabetes-related technology. Objective: To evaluate a virtual clinic to facilitate comprehensive diabetes care, support continuous glucose monitoring (CGM) integration into diabetes self-management, and provide behavioral health support for diabetes-related issues. Design, Setting, and Participants: This cohort study was a prospective, single-arm, remote study involving adult participants with type 1 or type 2 diabetes who were referred through community resources. The study was conducted virtually from August 24, 2020, to May 26, 2022; analysis was conducted at the clinical coordinating center. Intervention: Training and education led by a Certified Diabetes Care and Education Specialist for CGM use through a virtual endocrinology clinic structure, which included endocrinologists and behavioral health team members. Main Outcomes and Measures: Main outcomes included CGM-measured mean glucose level, coefficient of variation, and time in range (TIR) of 70 to 180 mg/dL, time with values greater than 180 mg/dL or 250 mg/dL, and time with values less than 70 mg/dL or 54 mg/dL. Hemoglobin A 1c was measured at baseline and at 12 and 24 weeks. Results: Among the 234 participants, 160 had type 1 diabetes and 74 had type 2 diabetes. The mean (SD) age was 47 (14) years, 123 (53%) were female, and median diabetes duration was 20 years. Median (IQR) CGM use over 6 months was 96% (91%-98%) for participants with type 1 diabetes and 94% (85%-97%) for those with type 2 diabetes. Mean (SD) hemoglobin A 1c (HbA 1c) in those with type 1 diabetes decreased from 7.8% (1.6%) at baseline to 7.1% (1.0%) at 3 months and 7.1% (1.0%) at 6 months (mean change from baseline to 6 months, −0.6%, 95% CI, −0.8% to −0.5%; P < .001), with an 11% mean TIR increase over 6 months (95% CI, 9% to 14%; P < .001). Mean HbA 1c in participants with type 2 diabetes decreased from 8.1% (1.7%) at baseline to 7.1% (1.0%) at 3 months and 7.1% (0.9%) at 6 months (mean change from baseline to 6 months, −1.0%; 95% CI, −1.4% to −0.7%; P < .001), with an 18% TIR increase over 6 months (95% CI, 13% to 24%; P < .001). In participants with type 1 diabetes, mean percentage of time with values less than 70 mg/dL and less than 54 mg/dL decreased over 6 months by 0.8% (95% CI, −1.2% to −0.4%; P = .001) and by 0.3% (95% CI, −0.5% to −0.2%, P < .001), respectively. In the type 2 diabetes group, hypoglycemia was rare (mean [SD] percentage of time <70 mg/dL, 0.5% [0.6%]; and <54 mg/dL, 0.07% [0.14%], over 6 months). Conclusions and Relevance: Results from this cohort study demonstrated clinical benefits associated with implementation of a comprehensive care model that included diabetes education. This model of care has potential to reach a large portion of patients with diabetes, facilitate diabetes technology adoption, and improve glucose control.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/jamanetworkopen.2023.36876

Cites

22 of 22 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Aleppo, G., Gal, R. L., Raghinaru, D., Kruger, D., Beck, R. W., Bergenstal, R. M., Cushman, T., Hood, K. K., Johnson, M. L., McArthur, T., Bradshaw, A., Olson, B. A., Oser, S. M., Oser, T. K., Kollman, C., & Weinstock, R. S.
Affiliations
  • Northwestern University (US)
  • Jaeb Center for Health Research (US)
  • Henry Ford Health (US)
  • International Diabetes Center, Minneapolis, Minnesota
  • Stanford Medicine (US)
  • Cecelia Health, New York, New York
  • Lagoon Health, Minneapolis, Minnesota
  • University of Colorado Anschutz (US)
  • SUNY Upstate Medical University (US)
Corresponding author
Gal, Robin L.
Venue
JAMA Network Open
Published
2023-10-04
Volume
6
Issue
10
Pages
e2336876
ISSN
2574-3805 (ISSN-L)
OpenAlex
W4387326165
Cited by
42
References
22
Citations by year
2026: 16 · 2025: 17 · 2024: 9
FWCI
8.54
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • JAMA Network Open (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
Leona M. and Harry B. Helmsley Charitable Trust
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Keywords
telemedicine, diabetes self-management, continuous glucose monitoring, type 1 diabetes, type 2 diabetes, glycemic control, HbA1c, time in range, glycemic variability, health equity, diabetes technology adoption
MeSH terms
Self-Management, Adult, Blood Glucose, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Female, Glycated Hemoglobin, Humans, Male, Middle Aged, Prospective Studies, Blood Glucose Self-Monitoring, Cohort Studies, Telemedicine

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review