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Background: End-stage renal disease (ESRD) poses a significant health challenge, with hemodialysis (HD) being the most prevalent therapy. Patients undergoing HD must comply with a strict therapeutic regimen, including dietary control, fluid restriction, and medication adherence. Successful disease management and improved outcomes rely on patients' involvement and participation in their care. Aim: To identify the factors that hinder or facilitate self-care management (SCM) in HD patients. Methodology: This review followed Whittemore and Knafl's integrative review framework. A comprehensive literature search of articles published between 2017 and 2022 was conducted in CINAHL, Medline, and PubMed using the keywords end-stage renal disease, hemodialysis, self-care management, self-care, and self-management. This search yielded 21 suitable articles for review. Results: SCM is influenced by three main factors: facilitators, barriers, and outcomes. Facilitators of SCM include self-care management interventions, patient knowledge, socio-demographic factors, family support, healthcare professionals, peer support, and psychological factors. Barriers encompass psychological and physical conditions. Outcomes include both physiological and psychological aspects. Conclusion: Understanding the factors influencing SCM in HD patients is vital for developing reliable and effective self-care strategies and interventions to enhance both physical and psychological outcomes.
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INTRODUCTION: Anemia management in dialysis is challenging. Keeping hemoglobin levels within a tight range is difficult. A new program (anemia nurse manager [ANM]) was started for better anemia management. This study aimed to compare traditional anemia management with the new ANM model regarding the achievement of better hemoglobin targets (range, 10-12 g/dL), avoidance of extreme hemoglobin levels ( < 9 or >13 g/dL), and evaluation of the cost-effectiveness of the new model. METHODS: This retrospective observational study compared traditional anemia management with management involving our new ANM model. Patients on hemodialysis in all ambulatory dialysis clinics in Qatar were included. The study included three phases: phase 1 (observation): June 2015 to August 2015, 460 patients; phase 2 (pilot): September 2015 to May 2016, 211 patients; and phase 3 (expansion in two phases): June 2016 to February 2017 and October 2017 to June 2018, 610 patients. Hemoglobin, iron saturation, and ferritin were evaluated according to the protocol. RESULTS: In this study, 55% of the patients achieved the target hemoglobin in phase 1 compared with 75% in phase 2 (p = 0.0007). The hemoglobin level within the target range was sustained at 72% ± 5% of patients in phase 3. The achievement rate of the target hemoglobin level increased from 56% (May 2015) to 72% (July 2018) (p < 0.001). The proportion of patients with extreme hemoglobin declined from 10.7% in phase 1 to 6.4% in phase 2 and sustained at 8% afterward. Reducing the doses of erythropoietin stimulating agents, owing to the use of the ANM model, saved costs by approximately 11%. CONCLUSIONS: The ANM model was able to achieve and maintain hemoglobin levels within the target range and decrease extreme hemoglobin levels. These outcomes improved patient care by avoiding high hemoglobin (increase thrombosis, cancer recurrence, stroke, and death) and low hemoglobin (weakness, poor quality of life, and need for transfusion) levels. The ANM model was cost effective even after including the salaries of nurses. This model can be considered in other aspects of patient care in dialysis.
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BACKGROUND: End-stage kidney disease (ESKD) patients on maintenance renal replacement therapy (RRT) have far lower life spans than those of the general population. No previous studies have been performed to assess the mortality of dialysis patients in the State of Qatar. We designed this study to assess the mortality of dialysis patients in Qatar and the impact of dialysis modality. METHODS: All chronic ambulatory dialysis patients (both on hemodialysis (HD) and peritoneal dialysis (PD) between 2014 and 2016) were included in the study, whereas patients undergoing dialysis for less than 3 months were excluded. We reviewed patients' demographics, comorbidities, and general laboratory investigations through our electronic record system and collected and analyzed them. We identified patients who died during that period and compared them to those who survived. We performed a subanalysis for HD versus PD patients who died. RESULTS: The total number of deceased dialysis patients was 164, with an overall crude mortality rate of 6.4%. They were significantly older than those who survived (p = 0.0001). The mortality rate was significantly higher in female than in male patients (51.2% and 38.9%, respectively) (p = 0.004) but significantly lower in PD than HD patients (1.36%, PD; 5.0%, HD; p = 0.007). It was also significantly higher in natives than in the expats (60.3% and 39.6%, respectively) (p = 0.0008); however, no significant differences were noted between deceased natives and expats in most demographic and laboratory characteristics. The most common cause of patient death was CVD (62 patients, 37.8%), followed by sepsis (44 patients, 26.8%). Diabetes, cerebrovascular accident, and dyslipidemia were more common in HD deceased patients than in PD patients (80.6%, 47%, and 59%, respectively, in HD patients vs 68.5%, 42%, and 31%, respectively, in PD patients). Albumin and potassium levels in deceased PD patients were significantly lower than in HD patients (p = 0.001). CONCLUSION: Our study found that the high-risk population had a significant mortality, which was higher in HD than PD patients. This is the first study to look at these outcomes in Qatar. We identified multiple mortality associated factors, such as comorbid conditions and old age. We believe that improving treatment and close monitoring for comorbid conditions in the dialysis population might improve survival.
