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Area of Science:

  • Health Communication
  • Information Science
  • Psychology

Background:

  • The COVID-19 pandemic imposed restrictions and pressure, leading to increased health information avoidance.
  • Health information avoidance can negatively impact individuals and public health outcomes.

Purpose of the Study:

  • To explore the complex factors contributing to health information avoidance.
  • To identify configurations of factors that lead to health information avoidance behavior.

Main Methods:

  • Analysis of over 120,000 words of textual data from semi-structured interviews.
  • Summarization of 55 case events.
  • Application of fuzzy set qualitative comparative analysis (fsQCA) to identify causal configurations.

Main Results:

  • Health information avoidance is a result of combined factors, not isolated issues.
  • Key contributing factors include health information literacy, negative emotions, perceived information, information presentation, cross-platform distribution, and the network environment.

Conclusions:

  • Understanding the configuration of factors is crucial for addressing health information avoidance.
  • Findings offer insights for improving health information systems and mitigating negative consequences.