Journal article
Decision Making in Cancer-Related Topic Avoidance
Journal of health communication, Vol.20(3), pp.306-313
03/04/2015
DOI: 10.1080/10810730.2014.965364
PMID: 25584820
Abstract
In this article, the authors use the Disclose Decision-Making Model to explore cancer-related topic avoidance among cancer patients and their partners. Participants include 95 dyads in which 1 partner had been diagnosed and/or treated for cancer. Variables of interest include death-, future-, sexuality-, and burden-related topic avoidance and dimensions of the Disclosure Decision-Making Model including information assessment, receiver assessment, relational quality, and discloser efficacy. Data were analyzed using linear regressions. Findings suggest that lack of reciprocity and efficacy are predictors of topic avoidance. The authors discuss implications of findings and suggests direction for future research.
Details
- Title: Subtitle
- Decision Making in Cancer-Related Topic Avoidance
- Creators
- Maria K Venetis - Brian Lamb School of Communication, Purdue UniversityKathryn Greene - Department of Communication, Rutgers UniversityMaria G Checton - Department of Health Care Management, College of St. ElizabethKate Magsamen-Conrad - Department of Communication, Bowling Green State University
- Resource Type
- Journal article
- Publication Details
- Journal of health communication, Vol.20(3), pp.306-313
- DOI
- 10.1080/10810730.2014.965364
- PMID
- 25584820
- NLM abbreviation
- J Health Commun
- ISSN
- 1081-0730
- eISSN
- 1087-0415
- Publisher
- Routledge
- Language
- English
- Date published
- 03/04/2015
- Academic Unit
- Communication Studies
- Record Identifier
- 9984002441002771
Metrics
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