Literature DB >> 30314829

Information overload in patients with atrial fibrillation: Can the cancer information overload (CIO) scale be used?

Kehinde Obamiro1, Kenneth Lee2.   

Abstract

OBJECTIVE: Information overload can negatively impact positive health behaviors such as cancer screening. The 8-item Cancer Information Overload (CIO) scale appears to be the only validated measure of health-related information overload. The present study assesses the validity of the CIO scale when modified for use in patients with atrial fibrillation (AF) residing in Australia.
METHODS: We conducted a secondary analysis of data from a study of adult Australian patients with AF (N = 386) in which a modified version of the CIO scale was used. In the present study, we examined the construct (convergent and divergent) validity and performed an exploratory factor analysis for the modified scale.
RESULTS: All items on the modified-CIO scale appear to load onto a single factor. As predicted, higher education levels (rs=-.24, p < .001) and higher oral anticoagulant knowledge (rs=-.17, p = .001) were significantly associated with lower modified-CIO scores; no other demographic characteristics were significantly associated with CIO scores.
CONCLUSION: When adapted to the AF context, the modified-CIO scale appears to be a valid measure of information overload. PRACTICE IMPLICATIONS: A valid scale is required to measure information overload accurately. Knowledge of the interplay between information overload and various health behaviors help focus future efforts to support patient empowerment.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; CIO scale; Health behavior; Health information overload; Measurement; Patient knowledge

Mesh:

Substances:

Year:  2018        PMID: 30314829     DOI: 10.1016/j.pec.2018.10.005

Source DB:  PubMed          Journal:  Patient Educ Couns        ISSN: 0738-3991


  8 in total

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Authors:  Fen Lin; Xi Chen; Edmund W Cheng
Journal:  Inf Process Manag       Date:  2022-07-16       Impact factor: 7.466

2.  Cancer Information Overload Across Time: Evidence from Two Longitudinal Studies.

Authors:  Helen Lillie; Rachael A Katz; Nick Carcioppolo; Elizabeth A Giorgi; Jakob D Jensen
Journal:  Health Commun       Date:  2022-02-16

3.  Cancer information overload: Discriminant validity and relationship to sun safe behaviors.

Authors:  Jakob D Jensen; Manusheela Pokharel; Nick Carcioppolo; Sean Upshaw; Kevin K John; Rachael A Katz
Journal:  Patient Educ Couns       Date:  2019-08-28

4.  Assessment of COVID-19 Information Overload Among the General Public.

Authors:  Mustapha Mohammed; Abubakar Sha'aban; Abubakar Ibrahim Jatau; Ismaeel Yunusa; Abubakar Musa Isa; Abubakar Sadiq Wada; Kehinde Obamiro; Hadzliana Zainal; Baharudin Ibrahim
Journal:  J Racial Ethn Health Disparities       Date:  2021-01-19

5.  Information overload regarding COVID-19: Adaptation and validation of the cancer information overload scale.

Authors:  Sujit Sarkhel; Ajay Kumar Bakhla; Samir Kumar Praharaj; Malay Kumar Ghosal
Journal:  Indian J Psychiatry       Date:  2020-10-10       Impact factor: 1.759

6.  Measuring information overload and message fatigue toward COVID-19 prevention messages in USA and China.

Authors:  Xiaofeng Jia; Soyeon Ahn; Nicholas Carcioppolo
Journal:  Health Promot Int       Date:  2022-01-29       Impact factor: 2.483

7.  Determinants of Social Commerce Usage and Online Impulse Purchase: Implications for Business and Digital Revolution.

Authors:  Huang Xiang; Ka Yin Chau; Wasim Iqbal; Muhammad Irfan; Vishal Dagar
Journal:  Front Psychol       Date:  2022-02-15

8.  Stratified Impacts of the Infodemic During the COVID-19 Pandemic: Cross-sectional Survey in 6 Asian Jurisdictions.

Authors:  Xi Chen; Fen Lin; Edmund W Cheng
Journal:  J Med Internet Res       Date:  2022-03-22       Impact factor: 7.076

  8 in total

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