Information overload in the context of COVID-19 pandemic: A repeated cross-sectional study.
Patient Educ Couns
; 110: 107672, 2023 05.
Article
in English
| MEDLINE | ID: covidwho-2228357
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.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Health Literacy
/
COVID-19
/
Neoplasms
Type of study:
Experimental Studies
/
Observational study
/
Prognostic study
/
Randomized controlled trials
Limits:
Adult
/
Humans
Language:
English
Journal:
Patient Educ Couns
Year:
2023
Document Type:
Article
Affiliation country:
J.pec.2023.107672
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