Information overload in the context of COVID-19 pandemic: A repeated cross-sectional study.

ABSTRACT

OBJECTIVES: To assess the psychometric properties of the Coronavirus Information Overload scale (CovIO) and explore relationships between CovIO, its predictors and several health behaviours related to the COVID-19 pandemic, using Cancer Information Overload (CIO) scale results as a reference for comparison. METHODS: 2003 participants representative of the French adult population answered a self-administered questionnaire over two waves of polling (N1(June 2020)= 1003, N2(January 2021)= 1000). Respondents were randomized to fill CovIO or CIO scale. Psychometric properties of scales were evaluated with Confirmatory Factor Analysis (CFA). Predictors were assessed using multivariate linear regression. RESULTS: CovIO scale showed satisfactory psychometric properties (α=0.86, ω=0.86, RMSEA=0.050) without any measurement invariance issue. CovIO increased between waves of sampling and was significantly linked to education, health literacy and trust in institutions among other variables. A negative relationship between information overload and preventive behaviours was also observed. CONCLUSION: The CovIO scale is a valid tool for assessing COVID-19 information overload. The dynamical formation of information overload and links with theorised predictors, especially, health literacy are confirmed. PRACTICE IMPLICATIONS Longitudinal designs could help better understand the potential detrimental effect of information overload and improving public health campaigns. Interventions to reduce the degree of overload are needed.