Abstract
The purpose of this study was to describe the quality of life in persons with end stage renal disease and examine factors that may affect quality of life. A revised version of Wilson and Cleary's model for health-related quality of life was used to guide the study. Biological factors (serum albumin and serum hemoglobin), symptoms (dialysis symptoms, anxiety, depression, and fatigue), functional status, general health perception, characteristics of the individual (age, gender, race/ethnicity), and characteristics of the environment (time on dialysis, marital status, and socioeconomic status) were examined to determine their potential impact on overall quality of life. A cross-sectional, correlational non-experimental study was conducted with a convenience sample of 73 persons undergoing hemodialysis at an outpatient dialysis center located within one city in central North Carolina.
Sigma Membership
Gamma Zeta
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Cross-Sectional
Research Approach
Quantitative Research
Keywords:
Kidney Disease, Impact of Dialysis, Disease Factors
Advisor
Patricia B. Crane
Degree
PhD
Degree Grantor
The University of North Carolina at Greensboro
Degree Year
2008
Recommended Citation
Kring, Daria L., "Using the Revised Wilson and Cleary Model to explore factors affecting quality of life in persons on hemodialysis" (2019). Dissertations. 651.
https://www.sigmarepository.org/dissertations/651
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
2019-08-28
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3307194; ProQuest document ID: 304535204. The author still retains copyright.