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DTSTAMP:20251016T135129Z
LOCATION:Grand C/D North
DTSTART;TZID=America/Chicago:20251016T121000
DTEND;TZID=America/Chicago:20251016T123000
UID:HFESAM_ASPIRE 2025_sess193_ICS107@linklings.com
SUMMARY:Incorporating Visualizations of Biometric Data from Digital Tools 
 in a Self-Monitoring Program for Individuals with Type 2 Diabetes: Accepta
 bility and Usability of Closing the Loop (CTL)
DESCRIPTION:Selene Mak (VA Greater Los Angeles Healthcare System; Center f
 or the Study of Healthcare Innovation, Implementation and Policy (CSHIIP))
 ; Joshua Lacko and Erin Der-McLeod (VA Greater Los Angeles Healthcare Syst
 em); Dora Lendvai (VA Connecticut); Rebecca Kinney (VA Central Massachuset
 ts); Varman Samuel (VA Connecticut); Zhaoping Li (VA Greater Los Angeles H
 ealthcare System); Emily Patterson (The Ohio State University); Constance 
 Fung (VA Greater Los Angeles Healthcare System); and Garrett Ash (Yale Sch
 ool of Medicine)\n\nDigital health tools like smartwatches and mobile appl
 ications offer promise for supporting lifestyle behavior changes in indivi
 duals living with type 2 diabetes (T2D). Many individuals face barriers in
  adopting digital health tools, as well as interpreting and applying data 
 from these devices. We developed Closing the Loop (CTL), a self-monitoring
  program that integrates multiple streams of data from consumer-grade devi
 ces and apps into a weekly report, supplemented by a comprehensive technic
 al orientation and data-supported health coaching. Twelve individuals livi
 ng with T2D, using a continuous glucose monitor (CGM), and receiving care 
 at a Veterans Administration Medical Center participated in CTL. Participa
 nts used a smartwatch, CGM, a diet-logging mobile application, and complet
 ed daily surveys. They reviewed personalized reports with a health coach t
 o support behavioral changes. CTL demonstrated high feasibility (mean=4.4/
 5), acceptability (mean=4.4/5), and usability (SUS=87.5), with 100% partic
 ipant retention and data completeness ranging from 77–100%. Qualitative fe
 edback highlighted the effectiveness of technical support and the role of 
 shared decision-making in fostering engagement. Findings suggest CTL is a 
 promising, scalable approach to enhancing T2D self-management through inte
 grated digital health tools and personalized coaching. Future iterations w
 ill refine report usability and reduce tracking burden to further support 
 long-term behavior change.\n\nTrack: Health Care\n\nSession Chair: Shiyu D
 eng (Virginia Polytechnic Institute and State University)\n\n
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