Abstract
The uncertainty and disruption caused by ongoing physical symptoms contributes to emotional distress and thoughts of recurrence for older breast cancer survivors. Uncertainty may be due to a lack of information about whether symptoms indicate recurrence, are related to comorbid conditions, or are part of the normal aging process. The purpose of this research was to assess the influence of physical symptoms, age, ethnicity, and patient-provider communication, on the uncertainty and emotional well-being of older breast cancer survivors. Guided by Uncertainty in Illness Theory, a conceptual model was developed and tested using structural equation modeling techniques.
Sigma Membership
Gamma Rho
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Descriptive/Correlational
Research Approach
Quantitative Research
Keywords:
Breast Cancer Survivors, Health Anxiety, Patient Education
Advisor
Merle H. Michel
Degree
PhD
Degree Grantor
The University of North Carolina at Chapel Hill
Degree Year
2003
Recommended Citation
Clayton, Margaret F., "Testing a model of communication, uncertainty, and emotional well-being in older breast cancer survivors" (2020). Dissertations. 941.
https://www.sigmarepository.org/dissertations/941
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2020-02-04
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3111987; ProQuest document ID: 305311739. The author still retains copyright.