%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Breyton, M.
%A Schultz, Emilien
%A Smith, A.
%A Rouquette, A.
%A Mancini, J.
%T Information overload in the context of COVID-19 pandemic : a repeated cross-sectional study
%D 2023
%L fdi:010087484
%G ENG
%J Patient Education and Counseling
%@ 0738-3991
%K Cancer information overload ; Coronavirus information overload ; Health literacy ; Health behaviour ; Validation studies ; Psychometrics
%K FRANCE
%M ISI:000946645000001
%P 107672 [7 ]
%R 10.1016/j.pec.2023.107672
%U https://www.documentation.ird.fr/hor/fdi:010087484
%> https://www.documentation.ird.fr/intranet/publi/2023-04/010087484.pdf
%V 110
%W Horizon (IRD)
%X 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 ques-tionnaire 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 (alpha=0.86, omega=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 in-formation overload and preventive behaviours was also observed. Conclusion: The CovIO scale is a valid tool for assessing COVID-19 information overload. The dynamical for-mation 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 in-formation overload and improving public health campaigns. Interventions to reduce the degree of overload are needed.
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