Literature DB >> 24268921

The cancer information overload (CIO) scale: establishing predictive and discriminant validity.

Jakob D Jensen1, Nick Carcioppolo2, Andy J King3, Courtney L Scherr4, Christina L Jones4, Jeff Niederdieppe5.   

Abstract

OBJECTIVE: Survey data suggests that approximately three-fourths of adults are overwhelmed by cancer information - a construct we label cancer information overload (CIO). A significant limitation of existing research is that it relies on a single-item measure. The objective of the current study is to develop and validate a multi-item measure of CIO.
METHODS: Study 1 (N=209) surveyed healthcare and manufacturing employees at eight worksites. Colonoscopy insurance claims data were culled eighteen months later to evaluate the predictive validity of CIO. Study 2 (N=399) surveyed adults at seven shopping malls. CIO and cancer fatalism were measured to examine the properties of the two constructs.
RESULTS: Study 1 identified a reliable 8-item CIO scale that significantly predicted colonoscopy insurance claims 18 months after the initial survey. Study 2 confirmed the factor structure identified in Study 1, and demonstrated that CIO, cancer fatalism about prevention, and cancer fatalism about treatment are best modeled as three distinct constructs.
CONCLUSION: The perception that there are too many recommendations about cancer prevention to know which ones to follow is an indicator of CIO, a widespread disposition that predicts colon cancer screening and is related to, but distinct from, cancer fatalism. PRACTICE IMPLICATIONS: Many adults exhibit high CIO, a disposition that undermines health efforts. Communication strategies that mitigate CIO are a priority. In the short-term, health care providers and public health professionals should monitor the amount of information provided to patients and the public.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  CIO scale; Cancer fatalism; Cancer information overload; Colonoscopy; HINTS; Measurement

Mesh:

Year:  2013        PMID: 24268921     DOI: 10.1016/j.pec.2013.09.016

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


  33 in total

1.  Fatalism and educational disparities in beliefs about the curability of advanced cancer.

Authors:  Paul R Duberstein; Michael Chen; Benjamin P Chapman; Michael Hoerger; Fahad Saeed; Elizabeth Guancial; Jennifer W Mack
Journal:  Patient Educ Couns       Date:  2017-07-10

2.  Assessing the impact of the public nutrition information environment: Adapting the cancer information overload scale to measure diet information overload.

Authors:  Steven Ramondt; A Susana Ramírez
Journal:  Patient Educ Couns       Date:  2018-07-26

3.  Evolving Information Needs among Colon, Breast, and Prostate Cancer Survivors: Results from a Longitudinal Mixed-Effects Analysis.

Authors:  Andy S L Tan; Rebekah H Nagler; Robert C Hornik; Angela DeMichele
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-05-15       Impact factor: 4.254

4.  Fatalism and exposure to health information from the media: examining the evidence for causal influence.

Authors:  Steven Ramondt; A Susana Ramírez
Journal:  Ann Int Commun Assoc       Date:  2017-10-19

5.  Understanding patients' values and preferences regarding early stage lung cancer treatment decision making.

Authors:  Donald R Sullivan; Karen B Eden; Nathan F Dieckmann; Sara E Golden; Kelly C Vranas; Shannon M Nugent; Christopher G Slatore
Journal:  Lung Cancer       Date:  2019-03-09       Impact factor: 5.705

6.  The Relationship Between Health Literacy, Cancer Prevention Beliefs, and Cancer Prevention Behaviors.

Authors:  Sasha A Fleary; Michael K Paasche-Orlow; Patrece Joseph; Karen M Freund
Journal:  J Cancer Educ       Date:  2019-10       Impact factor: 2.037

7.  Communicating Uncertain Science to the Public: How Amount and Source of Uncertainty Impact Fatalism, Backlash, and Overload.

Authors:  Jakob D Jensen; Manusheela Pokharel; Courtney L Scherr; Andy J King; Natasha Brown; Christina Jones
Journal:  Risk Anal       Date:  2016-03-12       Impact factor: 4.000

8.  Revisiting nutrition backlash: Psychometric properties and discriminant validity of the nutrition backlash scale.

Authors:  Jakob D Jensen; Elizabeth A Giorgi; Jennifer R Jackson; Julia Berger; Rachael A Katz; Amy R Mobley
Journal:  Nutrition       Date:  2020-07-31       Impact factor: 4.008

9.  Beyond fatalism: Information overload as a mechanism to understand health disparities.

Authors:  A Susana Ramírez; Kimberly Arellano Carmona
Journal:  Soc Sci Med       Date:  2018-10-13       Impact factor: 4.634

10.  Health Literacy and Health-Care Engagement as Predictors of Shared Decision-Making Among Adult Information Seekers in the USA: a Secondary Data Analysis of the Health Information National Trends Survey.

Authors:  Lisa T Wigfall; Andrea H Tanner
Journal:  J Cancer Educ       Date:  2018-02       Impact factor: 2.037

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.