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Aims: To assess the impacts of burnout and job satisfaction on the rationing of care in the professional group of nurses. Background: The shortage of nursing staff is currently one of the most significant health care problems. It is not clear how burnout and job satisfaction affect the rationing of nursing care. Methods: We included 594 nurses, and we used the Basel Extent of Rationing of Nursing Care‐R (BERNCA‐R), the Maslach Burnout Inventory (MBI) and the Job Satisfaction Scale (JSS). Results: The average scores were 1.72 ± 0.87 points for the BERNCA‐R, 36.08 ± 21.25 for the MBI and 19.74 ± 5.57 for the JSS. A statistically significant positive correlation between the BERNCA‐R and the MBI (p <.05) and a negative correlation between the BERNCA‐R and the JSS (p <.05) were observed. Independent predictors of the BERNCA‐R were the result of emotional exhaustion of the MBI and the assessment of the impact of independence on job satisfaction (p <.05). Conclusion: Occupational burnout can decrease job satisfaction in nursing staff and result in adverse outcomes of rationing care. Nursing managers should pay more attention to individual differences in nursing‐care workers linked with nursing burnout, job satisfaction and the rationing of care. Implications for Nursing Management: Interventions aimed at counteracting burnout are the key to improving job satisfaction in nurses. [ABSTRACT FROM AUTHOR]

Introduction: Acceptance of illness plays a key role, allowing the patient to adapt to the disease and its treatment, and to maintain their health-related quality of life (HRQOL) despite chronic conditions. Aim: The aim of the study was to assess the relationship between severity of arrhythmia symptoms, acceptance of illness and HRQOL in patients with atrial fibrillation. Methods: The study included 99 patients (mean age 64.6) treated for atrial fibrillation. Three standardized instruments were used: the World Health Organization Quality of Life (WHOQoL-BREF) questionnaire, the Arrhythmia-Specific Questionnaire in Tachycardia and Arrhythmia (ASTA) and the Acceptance of Illness Scale (AIS). Results: Patients with high illness acceptance levels obtained better results in all WHOQoL-BREF domains: physical (57.0±8.9 vs. 51.1±12.5 vs. 42.0±6.2; p<0.001), social (62.6±19.8 vs. 52.5±20.0 vs. 45.7±16.0; p=0.019) and environmental (62.9±12.7 vs. 52.7±7.6 vs. 60.7±3.6; p<0.001), and in the ASTA HRQOL scale (10.5±5.4 vs. 16.1±7.6 vs. 20.3±0.5; p<0.001). Multiple-factor analysis showed AIS to be a statistically significant independent determinant of HRQOL in the physical domain of the WHOQoL (β=0.242) and in the overall HRQOL assessment in the ASTA HRQOL scale (β= −0.362). Other statistically significant independent predictors included: the negative impact of female sex on the physical (β= −0.291) and social (β= −0.284) domains of the WHOQOL-BREF, and the positive impact of urban residence on the physical WHOQOL-BREF domain and on symptom intensity in the ASTA symptom scale. Conclusions: Acceptance of illness is an important factor which has been shown to impact on HRQOL in atrial fibrillation. Female sex is a predictor of worse HRQOL, while urban residence improves HRQOL in the physical domain and decreases symptom intensity (ASTA symptom scale). [ABSTRACT FROM AUTHOR]

Background: Patients on hemodialysis must adjust their life plans to the treatment. They are aware of losing their health and independence. Therefore, acceptance of illness (AI) is important and allows the patient to adjust to new situation and alleviates negative emotions Methods: The aim of study was to assess the impact of AI and other socioclinical variables on hemodialysis patients' quality of life (QoL).The study included 100 patients aged 20-85 (M = 57), treated with hemodialysis for at least 2 years. Two validated instruments were used: the Acceptance of Illness Scale (AIS) and the World Health Organization Quality of Life questionnaire. Results: High, moderate and low level of AI was found for 15, 61 and 24 patients, respectively. The QoL increased with the AI score. In physical domain, it reached 69.8 ± 12.4 in the high AIS group, 54.2 ± 15.3 in the moderate AIS group and 42.7 ± 12.3 in the low AIS group (P < 0.001). The psychological domain scores were 70.3 ± 12.8, 57.2 ± 15.0 and 49.7 ± 11.8 (P < 0.001), respectively. The environmental domain scores were 68.8 ± 13.3,59.0 ± 12.6 and 53.0 ± 11.6 (P < 0.001), respectively. AIS scores were positively correlated with QoL in three domains: physical (r = 0.549; P < 0.0001), psychological (r = 0.505; P < 0.0001) and environmental (r = 0.444; P < 0.0001). In multiple-factor analysis, AI was independent predictors in physical domains (β = +0.210), psychological domain (β = +0.402) and environmental domain (β = +0.204). No correlation or predictive value was found for the social relationship domain, however. Conclusions: Patients on dialysis have moderate-to-low AI. AI is an independent predictor positively correlated with QoL in all domains except for social relationships. The social and psychological support for dialyzed patient might improve their HRQoL and illness acceptance. [ABSTRACT FROM AUTHOR]