|Year : 2020 | Volume
| Issue : 5 | Page : 481-487
Information overload regarding COVID-19: Adaptation and validation of the cancer information overload scale
Sujit Sarkhel1, Ajay Kumar Bakhla2, Samir Kumar Praharaj3, Malay Kumar Ghosal4
1 Department of Psychiatry, Institute of Psychiatry, Kolkata, West Bengal, India
2 Department of Psychiatry, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
3 Department of Psychiatry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Udupi, Karnataka, India
4 Department of Psychiatry, Calcutta Medical College, Kolkata, West Bengal, India
Background: Access to excessive information from multiple sources relating to COVID-19 in a short span of time can have detrimental effects on individuals.
Aim: The study aims to validate Corona Information Overload Scale (CoIOS) by adaptation of Cancer Information Overload scale (CIOS) on English speaking Indian citizens.
Materials and Methods: An 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.”
Results: Principal 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.
Conclusion: CoIOS 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.”
Ajay Kumar Bakhla
Department of Psychiatry, Rajendra Institute of Medical Sciences, Bariyatu, Ranchi, Jharkhand
Source of Support: None, Conflict of Interest: None
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