Integrating Mobile and Wearable Self-Monitoring Data Into Diabetes Self-Management Education and Support Workflow: A Multisite Randomized Feasibility Trial

OBJECTIVE To evaluate the feasibility of integrating patient-generated diet and physical activity self-monitoring data from mobile and wearable technologies into a diabetes self-management education and support (DSMES) documentation workflow using the Chronicle Diabetes DSMES Documentation Platform, provided free for the American Diabetes Association’s Education Recognition Programs. RESEARCH DESIGN AND METHODS We developed an interface enabling diabetes care and education specialists to review participants’ diet and activity self-monitoring data captured via a smartphone application and wrist-worn tracker within Chronicle Diabetes. In a 3-month, multisite randomized feasibility study (Houston, TX; Pittsburgh, PA), 60 adults with diabetes and overweight or obesity were randomized to 1) mobile/wearable self-monitoring with educator-accessible data or 2) usual DSMES care. RESULTS All participants were successfully recruited and randomized (n = 60), and usability findings indicated feasible integration of the intervention into routine workflow. HbA1c decreased modestly over time (β = −0.57, P = 0.044), but there was no significant difference between intervention and control groups (P = 0.792). Weight did not change significantly over time (P = 0.118) or between groups (P = 0.850). CONCLUSIONS Integrating connected self-monitoring data into Chronicle Diabetes to support DSMES workflow is feasible; larger, longer trials should evaluate effectiveness and implementation outcomes.

Authors

Institutions

Publication Details

Journal
Diabetes Obesity and Cardiometabolic CARE
Published
2026-10-29
DOI
https://doi.org/10.2337/doc26-0100
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating Mobile and Wearable Self-Monitoring Data Into Diabetes Self-Management Education and Support Workflow: A Multisite Randomized Feasibility Trial

Linda S. Siminerio, Buna Bhandari, Nikhil S. Padhye, 杨毅炯 et al.
Diabetes Obesity and Cardiometabolic CARE
Mobile Health and mHealth Applications
article

Integrating Mobile and Wearable Self-Monitoring Data Into Diabetes Self-Management Education and Support Workflow: A Multisite Randomized Feasibility Trial

Linda S. Siminerio, Buna Bhandari, Nikhil S. Padhye, 杨毅炯, Jing Wang, Chengdong Li
article en

Abstract

OBJECTIVE To evaluate the feasibility of integrating patient-generated diet and physical activity self-monitoring data from mobile and wearable technologies into a diabetes self-management education and support (DSMES) documentation workflow using the Chronicle Diabetes DSMES Documentation Platform, provided free for the American Diabetes Association’s Education Recognition Programs. RESEARCH DESIGN AND METHODS We developed an interface enabling diabetes care and education specialists to review participants’ diet and activity self-monitoring data captured via a smartphone application and wrist-worn tracker within Chronicle Diabetes. In a 3-month, multisite randomized feasibility study (Houston, TX; Pittsburgh, PA), 60 adults with diabetes and overweight or obesity were randomized to 1) mobile/wearable self-monitoring with educator-accessible data or 2) usual DSMES care. RESULTS All participants were successfully recruited and randomized (n = 60), and usability findings indicated feasible integration of the intervention into routine workflow. HbA1c decreased modestly over time (β = −0.57, P = 0.044), but there was no significant difference between intervention and control groups (P = 0.792). Weight did not change significantly over time (P = 0.118) or between groups (P = 0.850). CONCLUSIONS Integrating connected self-monitoring data into Chronicle Diabetes to support DSMES workflow is feasible; larger, longer trials should evaluate effectiveness and implementation outcomes.

Diabetes Obesity and Cardiometabolic CARE
Florida State University (US), University of Pittsburgh (US), Indiana University South Bend (US), The University of Texas Health Science Center at Houston (US)
University of Texas Health Science Center at Houston, University of Texas Health Science Center at San Antonio
Good health and well-being
Openalex Percentile: Top 8%
Mobile Health and mHealth Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon