Abstract
Breast cancer is the most common cancer diagnosed in women and the leading cause of cancer deaths among women worldwide (Warner, 2011). Mortality from breast cancer in the United States has been decreasing in part due to advances in therapy and the detection of the disease at earlier stages. As a result, more than 1.6 million U.S. women will undergo a breast biopsy in 2013 with approximately 232,340 of these being diagnosed with cancer. Although distress in women undergoing a breast diagnostic evaluation has been recognized as having the potential to alter treatment outcomes in those diagnosed with cancer, few studies have explored the prevalence or predictors of distress in women undergoing diagnostic evaluations. The purpose of this study was to identify the prevalence of distress and identify predictors of distress during the breast diagnostic period.
Sigma Membership
Delta Xi
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Cross-Sectional
Research Approach
Quantitative Research
Keywords:
Breast Cancer, Patient Anxiety, Patient Distress
Advisor
Susan McCrone
Degree
PhD
Degree Grantor
West Virginia University
Degree Year
2013
Recommended Citation
Harding, Mariann Mayhew, "Predictors of distress during the breast diagnostic period" (2019). Dissertations. 105.
https://www.sigmarepository.org/dissertations/105
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
2019-09-25
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3571640; ProQuest document ID: 1427352367. The author still retains copyright.