Abstract
End-stage Renal Disease (ESRD) or Chronic Kidney Disease (CKD) constitutes a serious public health problem in the United States. According to the United States Renal Data System (USRDS), in 2013, Medicare spending alone accounts for $30.9 billion for the treatment-related expenses for ESRD. The purpose of this study was to examine the causal relationship of two important determinants, perceived social support and treatment adherence with health-related quality of life (HRQOL) of ESRD patients. Using the health belief model and Bandura's self-efficacy theory, the study explained the theoretical underpinnings of the causal relationships of the patient's perspectives of perceived social support and treatment adherence in predicting the HRQOL of ESRD patients. The study utilized a non-experimental research design and the statistical tool Structural Equation Modeling (SEM), in evaluating the causal relationships between the variables. With a convenience sample size of 413 ESRD patients from the Central West region of Florida, the findings of the study validated a statistically significant relationship between perceived social support and HRQOL as well as between perceived social support and treatment adherence in ESRD patients. However, the study didn't find any significant relationships between treatment adherence and HRQOL. The results of the study enhanced the body of knowledge relating to HRQOL of ESRD patients, provided foundation for interventions and policy formation in improving the HRQOL of patients with ESRD.
Notes
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Graduation Date
2016
Semester
Fall
Advisor
Dziegielewski, Sophia
Degree
Doctor of Philosophy (Ph.D.)
College
College of Health and Public Affairs
Degree Program
Public Affairs; Social Work
Format
application/pdf
Identifier
CFE0006512
URL
http://purl.fcla.edu/fcla/etd/CFE0006512
Language
English
Release Date
12-15-2017
Length of Campus-only Access
1 year
Access Status
Doctoral Dissertation (Open Access)
STARS Citation
Varghese, Shabu, "Determinants of Health-Related Quality of Life of Patients with End-stage Renal Disease" (2016). Electronic Theses and Dissertations. 5342.
https://stars.library.ucf.edu/etd/5342