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Journal of General Internal Medicine ; 37:S182, 2022.
Article in English | EMBASE | ID: covidwho-1995677

ABSTRACT

BACKGROUND: Considering the increased reliance on health technology during the COVID-19 Pandemic, Electronic Health (eHealth) interventions have become important for DM self-management (e.g., glucose monitoring). We have previously shown low HL to be a barrier to technology usage in the general inpatient adult population. However, the role of lowHL specifically for DM self-management requires further evaluation. METHODS: This is a sub-analysis of the Hospitalist Study, an observational, ongoing, quality improvement study of adults (age ≥18 years) enrolled from June 2019-March 2021. Patients were eligible for our sub-study if they were English speaking, had a DM diagnosis, and completed the brief health literacy screen. Participants completed questionnaires assessing technology access/use and online capabilities. Descriptive statistics, bivariate chi-squared, and multivariate logistic regression analyses (adjusted for age, race, education, and gender) were performed using STATA version 15.1 (StataCorp). RESULTS: Among 110 participants, the mean age was 61±15 years, most identified as Black (76%) and/or female (51%) and had at least some college education (58%). There were no significant differences in device ownership between low (n=15) and adequate (n=95) HL groups (93% vs. 94%, p=0.96). Those with low vs. adequate HL were less-likely to have previously used the internet (47% vs. 83%, p=0.006) and less-likely to independently use several internet features: use search engine (33% vs. 76% p<0.001), open online attachment (33% vs. 68%, p =0.005), upload images/files to a website (20% vs 54%, p=0.005), print webpages/online information (27% vs. 49%, p=0.04), use a video (47% vs. 72%, p=0.02), and/or use an interactive video (27% vs. 52%, p=0.01). In the multivariate analysis, participants with low HL remained significantly associated with decreased ability to independently perform online tasks (all measures p<0.05). CONCLUSIONS: Our data suggest that low HL may be a barrier to internet access and usage among patients with DM, but not for technology ownership. Future studies are necessary to ensure that at-risk populations can effectively utilize novel eHealth technologies particularly in the rapidly changing landscape of technology use in the clinical setting.

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