Assessment of Telehealth Literacy in Users: Survey and Analysis of Demographic and Behavioral Determinants
- PMID: 40805857
- PMCID: PMC12346793
- DOI: 10.3390/healthcare13151825
Assessment of Telehealth Literacy in Users: Survey and Analysis of Demographic and Behavioral Determinants
Abstract
Background: Telehealth is an essential component of modern healthcare, and it was especially relevant during the COVID-19 pandemic, but disparities in digital and technological literacy among health professionals may limit its equitable adoption and impact. Objective: This study seeks to validate an eight-item telehealth literacy survey among health professionals in Central-South Chile and to examine demographic and behavioral determinants of literacy levels, developing predictive models to identify key factors. Methods: In this cross-sectional study, 2182 health professionals from urban and rural centers in Central-South Chile completed the adapted survey along with questions on age, gender, nationality, and frequency of telehealth use. We assessed internal consistency (Cronbach's α), explored factor structure via exploratory factor analysis (EFA), and tested associations using Pearson correlations, t-tests, one-way ANOVA, and both linear and multinomial logistic regressions. Results: The instrument demonstrated high reliability (Cronbach's α = 0.92) and a two-factor structure explaining 65% of variance. Age negatively correlated with literacy (r = -0.26; p < 0.001), while the frequency of telehealth use showed a positive correlation (r = 0.26; p < 0.001). Female professionals and those in urban settings scored significantly higher on telehealth literacy (p = 0.005 and p < 0.001, respectively). The reduced multinomial model achieved moderate classification accuracy (51.65%) in distinguishing low, medium, and high literacy groups. Conclusions: The validated survey is a reliable tool for assessing telehealth literacy among health professionals in Chile. The findings highlight age, gender, and geographic disparities, and support targeted digital literacy interventions to promote equitable telehealth practice.
Keywords: digital health; health disparities; predictive models; survey validation; telehealth literacy.
Conflict of interest statement
The authors declare no conflicts of interest.
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