Abstract
There is increasing recognition that what matters most to chronically ill patients is how well they are able to function and how they evaluate the quality of day-to-life. Understanding the impact of chronic illness and associated treatment on functioning and well-being in the physical and psychosocial dimensions of older people's lives is essential. In 2004, over half of all new patients starting dialysis were 65 years of age or older (USRDS, 2004). The physical and psychosocial impact of end-stage renal disease may lead older hemodialysis patients to withdraw from treatment and die from uremia, rather than live with seriously diminished QOL. The purpose of this study was to test a theoretical path model of the effects of age, income, gender, education, time on dialysis, functional health status, spirituality, powerlessness, and depression on the perceived of quality of life of the elderly end-stage renal disease patients. Roy's Adaptation Model was used as a theoretical framework to guide the identification of the factors that predict the quality of life of elderly ESRD patients.
Sigma Membership
Epsilon Alpha
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Other
Research Approach
Advanced Analytics
Keywords:
Elderly End Stage Renal Patients, Dialysis Patients, Nursing Renal Patients
Advisor
Carolyn Kee
Degree
PhD
Degree Grantor
Georgia State University
Degree Year
2005
Recommended Citation
Hay, Celia G., "Predictors of quality of life of elderly end-stage renal disease patients: An application of Roy's Model" (2020). Dissertations. 838.
https://www.sigmarepository.org/dissertations/838
Rights Holder
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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
2020-01-21
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3166438; ProQuest document ID: 304999693. The author still retains copyright.