Abstract
Fatigue has consistently been found to be the most common and distressing side effect of radiation therapy. This study examined the relation of a specific life-style behavior with many policy and economic implications, participation in the workforce, on radiation therapy-related fatigue. The aims of this longitudinal study were to: describe sick leave benefits available to patients undergoing radiation therapy; examine the relation between sick leave benefits, individual characteristics, and employment patterns in patients undergoing radiation therapy; and examine the relation between employment patterns, individual characteristics, and fatigue in patients receiving radiation therapy. The Conceptual Model of Nursing and Health Policy (CMNHP) and the Piper Integrated Fatigue Model (IFM) guided this study.
Sigma Membership
Omicron Xi at-Large, Theta Alpha
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Randomized Controlled Trial
Research Approach
Quantitative Research
Keywords:
Cancer Fatigue, Radiation Therapy, Cancer Patients' Quality of Life
Advisor
Jacqueline Fawcett
Degree
PhD
Degree Grantor
University of Massachusetts Boston
Degree Year
2005
Recommended Citation
Poirier, Patricia Anne, "The relation of sick leave benefits, employment patterns, and individual characteristics to radiation therapy-related fatigue" (2019). Dissertations. 1292.
https://www.sigmarepository.org/dissertations/1292
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
2019-12-09
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3172751; ProQuest document ID: 305383553. The author still retains copyright.