1032-P: Diabetes Technology Utilization and eHealth Literacy in Patients with Type 1 Diabetes

Introduction and Objective: Type 1 Diabetes (T1D) requires continuous self-management to maintain glycemic control. Higher health literacy is associated with greater self-efficacy and diabetes management. There is limited data on health literacy and diabetes technology use. This study aimed to deter...

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Published inDiabetes (New York, N.Y.) Vol. 74; no. Supplement_1; p. 1
Main Authors PARIMI, NEHA, ZADE, DANIEL, BROMBERGER, LEE A., SIDHAYE, ANIKET, BROWN, ELIZABETH A., WOLF, RISA M., MATHIOUDAKIS, NESTORAS N.
Format Journal Article
LanguageEnglish
Published New York American Diabetes Association 20.06.2025
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ISSN0012-1797
1939-327X
DOI10.2337/db25-1032-P

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Summary:Introduction and Objective: Type 1 Diabetes (T1D) requires continuous self-management to maintain glycemic control. Higher health literacy is associated with greater self-efficacy and diabetes management. There is limited data on health literacy and diabetes technology use. This study aimed to determine if e-health literacy is associated with technology use in patients with T1D who are not currently using technology optimally. Methods: This prospective survey study included patients with T1D who were not using diabetes technology or were using technology sub-optimally. Patients were enrolled at the Johns Hopkins Diabetes Center from February to December 2024. The 8 item E-Heals survey was administered to assess health literacy, with higher score (highest being 40) representing greater health literacy. Chi-Square, Fisher Exact and Wilcoxon rank sum tests evaluated the associations between demographics, technology use and health literacy. Results: Participants included 147 individuals (73 adults, 74 children and adolescents, median age 20.0 years, 58.5% males, 40.1% Black, 5.4% Hispanic). The mean HbA1c was 8.8%. In the cohort, 68.7 % were using technology sub-optimally and 31.3% were not on any diabetes technology. Mean health literacy score was 32.5 (SD=5.5). There were no significant differences in mean E-Heals scores by diabetes technology use: sub-optimal technology = 32.7(SD=5.4) vs no technology = 31.9 (SD=5.9), p-value=0.47. No significant differences were observed in the reported e-health literacy based on age, sex, race, ethnicity, insurance type, income, or education level. Conclusion: We did not find an association between e-health literacy and use of diabetes technology. There are likely other socio-demographic and systemic factors that impact diabetes technology access and use.
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ISSN:0012-1797
1939-327X
DOI:10.2337/db25-1032-P