Article: Remote glucose monitoring is feasible for patients and providers using a commercially available population health platform.
2023 Volume 14, Page(s) 1063290
Abstract: Objective: Remote patient monitoring (RPM) holds potential to enable more individualized and effective care for patients with type 1 diabetes (T1D), but requires population analytics to focus limited clinical resources on patients most in need. We ... ...
Abstract | Objective: Remote patient monitoring (RPM) holds potential to enable more individualized and effective care for patients with type 1 diabetes (T1D), but requires population analytics to focus limited clinical resources on patients most in need. We explored the feasibility of RPM from patient and provider standpoints using a commercially available data analytic platform ( Study design: Patients aged 1-20 years with established T1D (≥12 months) and CGM use (≥3 months) were recruited to participate. Participants' CGM devices were connected to the Results: Remote data-sharing was successful for 36 of 39 participants (92%). Between 33%-66% of participants merited outreach each month, and clinician outreach required a median of 10 minutes per event. RPM was reported to be helpful by 94% of participants. RPM was associated with a GMI change of -0.25% ( Conclusions: This study demonstrates the feasibility of RPM for patients with T1D using a commercially available population health platform, and suggests that RPM with clinician-initiated outreach may be particularly beneficial for patients with suboptimal glycemic control at entry. However, larger randomized studies are needed to fully explore the glycemic impact of RPM. Clinical trial registration: https://clinicaltrials.gov/ct2/show/NCT04696640, identifier NCT04696640. |
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MeSH term(s) | Adolescent ; Humans ; Blood Glucose ; Blood Glucose Self-Monitoring ; Diabetes Mellitus, Type 1/drug therapy ; Glycemic Control ; Surveys and Questionnaires |
Chemical Substances | Blood Glucose |
Language | English |
Publishing date | 2023-02-02 |
Publishing country | Switzerland |
Document type | Clinical Trial ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2592084-4 |
ISSN | 1664-2392 |
ISSN | 1664-2392 |
DOI | 10.3389/fendo.2023.1063290 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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