Do digital health information searches of individuals with chronic diseases affect health literacy and patient empowerment? A path analysis.

Abstract

Objectives: To analyze the relationship between chronically ill patients' behaviors in acquiring and verifying health information from a digital environment with health literacy and patient empowerment using a structural equation modeling approach.

Methods: This study was carried out in a public hospital in Turkey between February and May 2023. The study consisted of 365 participants and used descriptive and correlation-based designs for statistical analyses. It also executed computations for descriptive statistics and correlations to carry out a path analysis to assess model fitness and to identify direct and indirect effects.

Results: This study identified that Web 1.0 and health information acquisition and digital verification variables statistically and significantly affected access to information, understanding information, appraisal (valuing)/evaluation, and application/use variables. The study also found that access to information variables was statistically significant on identity/identicalness, self-control, decision-making, and recognition and comprehension. The tested model fit the data well and adequately explained the direct effects of the variables.

Conclusion: The study concluded by suggestively improving the chronically ill patients' media or digital literacy levels through special training to stimulate their internet use effectively.