Feasibility and Impact of Remote Glucose Monitoring Among Patients With Newly Diagnosed Type 1 Diabetes: Single-Center Pilot Study.

T1D application diabetes mobile health patient-generated data pediatrics remote monitoring type 1 diabetes

Journal

JMIR diabetes
ISSN: 2371-4379
Titre abrégé: JMIR Diabetes
Pays: Canada
ID NLM: 101719410

Informations de publication

Date de publication:
17 Jan 2022
Historique:
received: 16 09 2021
accepted: 10 12 2021
revised: 07 12 2021
entrez: 17 1 2022
pubmed: 18 1 2022
medline: 18 1 2022
Statut: epublish

Résumé

Caregivers of children with newly diagnosed type 1 diabetes (T1D) maintain close contact with providers for several weeks to facilitate rapid adjustments in insulin dosing regimens. Traditionally, patient glucose values are relayed by telephone for provider feedback, but digital health technology can now enable the remote sharing of glucose data via mobile apps. The aim of this study was to test the feasibility of remote glucose monitoring in a population of children and adolescents with newly diagnosed T1D and to explore whether remote monitoring alters habits for self-review of glucose data or perceived ease of provider contact in this population as compared to a nonrandomized control group. Data were collected from families who chose to participate in remote monitoring (intervention group) as well as from patients receiving usual care (control group). The intervention group received Bluetooth-capable glucose meters and Apple iPod Touch devices. Patient-generated glucose data were passively relayed from the meter to the iPod Touch and then to both the electronic health record (EHR) and a third-party diabetes data platform, Tidepool. The principal investigator reviewed glucose data daily in the EHR and Tidepool and contacted the participants as needed for insulin dose adjustments during the time between hospital discharge and first clinic appointment. Families in the control group received usual care, which involved keeping written records of glucose values and contacting the diabetes team daily by telephone to relay data and receive treatment recommendations. A total of 40 families (20 for the intervention group and 20 for the control group) participated in the study. All families were surveyed at 1 month and 6 months regarding self-review of glucose data and ease of contacting the diabetes team. Patient-generated glucose data were remotely accessible for 100% of the participants via Tidepool and for 85% via the EHR. Survey data indicated that families in the intervention group were more likely than those in the control group to review their glucose data using mobile health apps after 1 month (P<.001), but by 6 months, this difference had disappeared. Perceived ease of contacting the clinical team for assistance was lower for the intervention group after 6 months (when receiving usual care) in comparison to during the intervention period (P=.48) and compared with a control group who did not have exposure to remote monitoring (P=.03). Remote glucose monitoring is feasible among pediatric patients with newly diagnosed T1D and may be associated with the earlier adoption of mobile health apps for self-management. The use of broadscale remote monitoring for T1D in the future will depend on improved access to Bluetooth-enabled mobile devices for all patients, improved interoperability of mobile health apps to enable data transfer on Android as well as Apple devices, and new provider workflows to handle large-scale panel management based on patient-generated health data. ClinicalTrials.gov NCT04106440; https://clinicaltrials.gov/ct2/show/NCT04106440.

Sections du résumé

BACKGROUND BACKGROUND
Caregivers of children with newly diagnosed type 1 diabetes (T1D) maintain close contact with providers for several weeks to facilitate rapid adjustments in insulin dosing regimens. Traditionally, patient glucose values are relayed by telephone for provider feedback, but digital health technology can now enable the remote sharing of glucose data via mobile apps.
OBJECTIVE OBJECTIVE
The aim of this study was to test the feasibility of remote glucose monitoring in a population of children and adolescents with newly diagnosed T1D and to explore whether remote monitoring alters habits for self-review of glucose data or perceived ease of provider contact in this population as compared to a nonrandomized control group.
METHODS METHODS
Data were collected from families who chose to participate in remote monitoring (intervention group) as well as from patients receiving usual care (control group). The intervention group received Bluetooth-capable glucose meters and Apple iPod Touch devices. Patient-generated glucose data were passively relayed from the meter to the iPod Touch and then to both the electronic health record (EHR) and a third-party diabetes data platform, Tidepool. The principal investigator reviewed glucose data daily in the EHR and Tidepool and contacted the participants as needed for insulin dose adjustments during the time between hospital discharge and first clinic appointment. Families in the control group received usual care, which involved keeping written records of glucose values and contacting the diabetes team daily by telephone to relay data and receive treatment recommendations. A total of 40 families (20 for the intervention group and 20 for the control group) participated in the study. All families were surveyed at 1 month and 6 months regarding self-review of glucose data and ease of contacting the diabetes team.
RESULTS RESULTS
Patient-generated glucose data were remotely accessible for 100% of the participants via Tidepool and for 85% via the EHR. Survey data indicated that families in the intervention group were more likely than those in the control group to review their glucose data using mobile health apps after 1 month (P<.001), but by 6 months, this difference had disappeared. Perceived ease of contacting the clinical team for assistance was lower for the intervention group after 6 months (when receiving usual care) in comparison to during the intervention period (P=.48) and compared with a control group who did not have exposure to remote monitoring (P=.03).
CONCLUSIONS CONCLUSIONS
Remote glucose monitoring is feasible among pediatric patients with newly diagnosed T1D and may be associated with the earlier adoption of mobile health apps for self-management. The use of broadscale remote monitoring for T1D in the future will depend on improved access to Bluetooth-enabled mobile devices for all patients, improved interoperability of mobile health apps to enable data transfer on Android as well as Apple devices, and new provider workflows to handle large-scale panel management based on patient-generated health data.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov NCT04106440; https://clinicaltrials.gov/ct2/show/NCT04106440.

Identifiants

pubmed: 35037887
pii: v7i1e33639
doi: 10.2196/33639
pmc: PMC8804957
doi:

Banques de données

ClinicalTrials.gov
['NCT04106440']

Types de publication

Journal Article

Langues

eng

Pagination

e33639

Subventions

Organisme : NIDDK NIH HHS
ID : K23 DK125671
Pays : United States
Organisme : NCATS NIH HHS
ID : KL2 TR001859
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001860
Pays : United States

Informations de copyright

©Stephanie Crossen, Crystal Romero, Allison Reggiardo, Jimi Michel, Nicole Glaser. Originally published in JMIR Diabetes (https://diabetes.jmir.org), 17.01.2022.

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Auteurs

Stephanie Crossen (S)

Department of Pediatrics, University of California, Davis, Sacramento, CA, United States.
Center for Health and Technology, University of California, Davis, Sacramento, CA, United States.

Crystal Romero (C)

Department of Pediatrics, University of California, Davis, Sacramento, CA, United States.

Allison Reggiardo (A)

Department of Pediatrics, University of California, Davis, Sacramento, CA, United States.

Jimi Michel (J)

Center for Health and Technology, University of California, Davis, Sacramento, CA, United States.

Nicole Glaser (N)

Department of Pediatrics, University of California, Davis, Sacramento, CA, United States.

Classifications MeSH