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Self-Care and Its Predictive Factors in Hemodialysis Patients
Fatemeh Sadat Izadi Avanji1, Negin Masoudi Alavi1, Hosein Akbari2
1Department of Medical Surgical Nursing, School of Nursing, Kashan University of Medical Sciences, Kashan, Iran.
Insights
Resilience significantly improves self-care in hemodialysis patients. However, diabetes and older age predict lower self-care, requiring targeted interventions for these individuals.
Area of Science:
- Nephrology
- Psychology
- Public Health
Background:
- Chronic kidney disease (CKD) necessitates active patient self-care.
- Hemodialysis (HD) patients face unique challenges in managing their condition.
- Understanding self-care predictors is crucial for improving patient outcomes.
Purpose of the Study:
- To investigate the relationship between self-care and its predictive factors in hemodialysis patients.
- To identify key determinants influencing self-care behaviors in this population.
Main Methods:
- A multicenter correlational study involving 201 hemodialysis patients.
- Data collection via self-care, spiritual well-being, and resilience questionnaires.
- Statistical analysis using descriptive statistics and stepwise linear regression.
Main Results:
- Resilience positively predicted self-care (β = 0.78, P = 0.001).
- Diabetes (β = -0.09, P = 0.01) and older age (β = -0.11, P = 0.005) negatively predicted self-care.
- These factors explained 78% of the variance in self-care.
Conclusions:
- Resilience is a significant positive predictor of self-care in hemodialysis patients.
- Diabetic and older hemodialysis patients are at higher risk for impaired self-care.
- Healthcare providers should prioritize interventions for these high-risk groups.
Abstract:
Introduction: Chronic kidney disease is a serious problem and patients need active self-care. This study focuses on the relationship between self-care and its predictive factors in hemodialysis (HD) patients. Methods: This multicenter correlational study was conducted on 201 HD patients referring to HD centers in the west of Tehran, Iran. A multi-stage sampling method was used to select the samples. Data were collected using self-care Scale, Paloutzian-Ellison Spiritual Well-Being Scale, and Connor Davidson Resilience Questionnaires. Data were analyzed using SPSS software version 13 and descriptive statistics and linear regression with stepwise method. Results: The mean (SD) scores of self-care, resilience, and spiritual well-being were 35.5 (5.69), 53.4 (12.94), and 97.4 (17.9), respectively. Univariate analysis showed that self-care had a statistically significant relationship with gender, occupation, education, being diabetic, and hyperlipidemia. Self-care positively correlated with the resilience and negatively correlated with age. Multivariate regression indicated that the resilience (β = 0.78, P = 0.001), being diabetic (β = -0.09, P = 0.01), and age (β = -0.11, P = 0.005) could be predictors of self-care. These variables accounted for 78% of variance in self-care in HD patients. Conclusion: Our results showed that resilience was positively correlated with self-care, but being diabetic and age were negatively correlated with self-care in HD patients. Therefore, the health care providers should pay more attention to HD patients who are diabetic and older, as they are at a higher risk of having impaired self-care.
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