Factors Predicting Quality of Life in Patients Receiving Continuous Ambulatory Peritoneal Dialysis A Secondary Data Analysis
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Abstract
Purpose: To examine the predictive power of sex, diabetes comorbidity, hematocrit level, adherence to treatment, and satisfaction with healthcare services on quality of life in patients receiving continuous ambulatory peritoneal dialysis.
Design: Secondary data analysis.
Methods: Data for this study were obtained from 169 patients undergoing continuous ambulatory peritoneal dialysis who were enrolled in the control group of a primary research about telehealth service using randomized controlled trial. Baseline information on sample characteristics, treatment adherence, satisfaction with healthcare services, and quality of life scores was extracted from the trial. Data were analyzed using descriptive statistics and multiple linear regression analysis.
Main findings: The participants reported their total quality of life with a mean score of 62.12 (SD = 17.03). Results from the multiple regression analysis revealed that all independent variables could together explain 24% (R2 = .24) of the variance in the quality of life of patients receiving continuous ambulatory peritoneal dialysis. Patients with good adherence to treatment (β = - .45, p < .001) and without comorbid diabetes mellitus (β = - .17, p = .027) demonstrated better quality of life.
Conclusion and recommendations: Patients undergoing continuous ambulatory peritoneal dialysis should be encouraged to adhere to treatment regimens. Additionally, patients with comorbid diabetes mellitus should be assessed for quality of life on a regular basis and given support to improve the quality of life.
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