ArticleIndian journal of psychiatry
Information overload regarding COVID-19: Adaptation and validation of the cancer information overload scale.
Article in Indian journal of psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Factors Predicting Information Overload During the COVID-19 Pandemic in the Digital Age: Longitudinal Study.Interactive journal of medical research · 2025Article
- A systematic compilation of rating scales developed, translated, and adapted in India.Indian journal of psychiatry · 2024Review
- Adaption of the Cancer Information Overload Scale for pandemics and assessment of infodemic levels among nurses and midwives.International journal of nursing practice · 2023Article
- Article
- Contextualized impacts of an infodemic on vaccine hesitancy: The moderating role of socioeconomic and cultural factors.Information processing & management · 2022Article
- Stratified Impacts of the Infodemic During the COVID-19 Pandemic: Cross-sectional Survey in 6 Asian Jurisdictions.Journal of medical Internet research · 2022Article
- Using signalling theory to assess the Government of Ghana's risk communication during the COVID-19 pandemic.Health SA = SA Gesondheid · 2022Article
- Information Overload, Wellbeing and COVID-19: A Survey in China.Behavioral sciences (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccess to excessive information from multiple sources relating to COVID-19 in a short span of time can have detrimental effects on individuals.
aimThe study aims to validate Corona Information Overload Scale (CoIOS) by adaptation of Cancer Information Overload scale (CIOS) on English speaking Indian citizens. MATERIALS AND
methodsAn online survey was carried out using Google Form on 300 individuals out of whom 183 responded. The CoIOS was to be filled up. It was an 8 item Likert type scale with responses ranging from "strongly agree" to "strongly disagree."
resultsPrincipal components analysis showed two components with an initial eigenvalue > unity (3.38 and 1.09), with 42.33% and 13.64% of variance, respectively, making a total of 55.97% variance. The composite reliability value was also found to be 0.789 and 0.815 for factors I and II, respectively, convergent validity and discriminant validity calculation also affirmed good construct reliability.
conclusionCoIOS appears to be a valid and reliable scale for measuring health information overload in relation to COVID-19. However, it has a two factor component, namely "excessiveness of information" and "rejection of information."
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