Introduction: Ensuring diabetes technology and education remain patient-centered, equitable, and relevant is critical. Therefore, we explored how aging adults with diabetes desire to engage with self-management technology for behavior change.
Methods: The transtheoretical model of health behavior change was applied to guide this analysis. A semi-structured interview guide was utilized for 3, 60-minute focus groups. De-identified transcripts were cross-referenced for deductive thematic analysis with a priori codes. Codes were cross-checked independently, and discrepancies were resolved.
Results: Focus Group A comprised 6 individuals with pre-diabetes/recent T2D (66.6% White, non-Hispanic, 66.6% female, mean age 52.83 SD 8.64, preparation/action phase of behavior change). Group B comprised 4 individuals with T2D (75% White, non-Hispanic, 75% female, mean age 64.5 SD 9.11, maintenance phase). Group C comprised 3 individuals with T1D (66.6% White, non-Hispanic, 100% female, mean age 58.33 SD 6.66, termination phase). Key themes across groups were desire for accurate, individualized real-time data, yet data type and interaction level differed by behavior change phase (Table 1).
Conclusion: Aging adults have unique self-management technology and engagement preferences in the stages of the behavior change cycle. Clinicians should empower individuals to choose appropriate technology for behavior change.
J.E. Blanchette: Speaker's Bureau; Insulet Corporation. Board Member; Juvenile Diabetes Research Foundation (JDRF). Research Support; American Heart Association, Association of Diabetes Care & Education Specialists, National Institute of Diabetes and Digestive and Kidney Diseases, Leona M. and Harry B. Helmsley Charitable Trust. Advisory Panel; LifeScan Diabetes Institute. Consultant; WellDoc. Advisory Panel; Cardinal Health/Edgepark. A.A. Hart: None. K. Lee: None. B. Hatipoglu: Research Support; Tandem Diabetes Care, Inc.
University Hospitals JobsOhio grant for the Cleveland Innovation District
