Abstract

This study establishes a theoretical framework for assessing antecedents of cyberchondria, which is a process of amplified anxiety about one's health because of excessive online health information seeking. We examined the framework through partial least squares structural equation modeling after collecting data through a cross-sectional online survey. This research contributes to the literature by (i) evaluating the roles of health anxiety (HA) and affective responses (AR) on cyberchondria; (ii) equipping health strategists with understanding about ways to tailor their educational and communication strategies to specific segments by importance-performance map analysis and necessary condition analysis. Finally, by (iii) providing strategic tactics to curb cyberchondria so that it becomes possible to attain a better patient outcome. Findings suggest that the existing association between intolerance of uncertainty and cyberchondria is serially mediated by HA and AR. For healthcare educators and practitioners, the findings of this research deliver a blueprint for effectively controlling cyberchondria.

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