Acceptance of Public Health Measures During the COVID-19 Pandemic: A Cross-Sectional Study of the Swiss Population's Beliefs, Attitudes, Trust, and Information-Seeking Behavior

Int J Public Health. 2023 Jun 20:68:1605982. doi: 10.3389/ijph.2023.1605982. eCollection 2023.

Abstract

Objectives: This study aimed to advance the understanding of the factors associated with population acceptance of public health measures during the COVID-19 pandemic. Methods: In January 2022, we conducted a cross-sectional survey of the Swiss population (N = 2,587). Questionnaires were administered through computer-assisted web interviewing. Measures covered included information-seeking behavior, attitudes towards and beliefs about public health measures enacted, and trust in institutions. Results: Television and newspapers were the most used information sources. Those with higher education levels were more likely to use channels from public institutions, newspapers, and television. The most important criterion for reliable information was scientific evidence. Trust was highest for doctors, healthcare workers, universities, research institutes, and public health institutions. Acceptance of public health measures was high overall, and attitudes, beliefs, information-seeking behavior, and trust were positively related to acceptance. Trust in science remained stable, while trust in public health institutions decreased slightly. Conclusion: While nurturing a two-way dialogue with the population, institutions should target communication considering age and culture, improve risk communication, ground messages in scientific evidence, and ensure mass media presence.

Keywords: infodemic; information-seeking behavior; institutional communication; public health measures; trust.

MeSH terms

  • Attitude
  • COVID-19* / epidemiology
  • Cross-Sectional Studies
  • Humans
  • Information Seeking Behavior
  • Pandemics
  • Public Health
  • Surveys and Questionnaires
  • Switzerland / epidemiology
  • Trust

Grants and funding

This work was supported by the Swiss National Science Foundation (grant number 31CA30_196736).