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 in | Diabetes (New York, N.Y.) Vol. 74; no. Supplement_1; p. 1 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
American Diabetes Association
20.06.2025
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Subjects | |
Online Access | Get full text |
ISSN | 0012-1797 1939-327X |
DOI | 10.2337/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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0012-1797 1939-327X |
DOI: | 10.2337/db25-1032-P |