I Know That I Know: Online Health Information Seeking, Self-Care and the Overconfidence Effect

Alessia Bertolazzi, Linda Lombi, Alessandro Lovari, Gea Ducci, Lucia D'Ambrosi

Risultato della ricerca: Contributo in rivistaArticolo in rivista

Abstract

The increasing access to online health information and the use of this information for self-medication or self-diagnosis can foster a discounting of the epistemic authority of experts, as well as an over-reliance on laypersons' expertise. However, the emerging cognitive bias-the overconfidence effect-is poorly investigated in the sociological field. This study offers a novel contribution to the role of overconfidence bias in online health information-seeking behavior and self-care practices. A cross-sectional study was conducted through an online survey on a sample of 783 Italian university students. Univariate linear regression and stepwise multiple linear regression analysis were performed on the collected data. The findings suggest that overconfidence and self-care practices are predictors of health information seeking online. The multiple linear regression model revealed that the association between overconfidence bias and online health information seeking is mediated by self-care behaviors. Therefore, the overconfidence effect influences health information seeking to the extent that the search for information is aimed at self-care practices. This study could trigger further research on implementing the overconfidence effect and self-care in theoretical models of health information seeking.
Lingua originaleEnglish
pagine (da-a)793-812
Numero di pagine20
RivistaSociological Forum
DOI
Stato di pubblicazionePubblicato - 2023

Keywords

  • e-health literacy
  • health information seeking
  • lay-expert
  • overconfidence bias
  • self-care
  • trust

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