Relationship between Job Burnout and Quality of Life in Nurses of Intensive Care Units during the COVID-19 Pandemic

Introduction: The COVID-19 pandemic has caused job burnout in nurses, followed by a decrease in the quality of life and the quality of care services provided to the patients. Regarding the prevalence of the COVID-19 pandemic and the researcher's experience, the present study aimed to determine the relationship between job burnout and the quality of life of nurses in intensive care units during the COVID-19 pandemic. Material & Methods: This descriptive-correlational study was conducted on 140 nurses working in the intensive care units (including ICU and CCU) of public hospitals in Ilam province from February 10 to March 10, 2021 (the sixth peak of COVID-19). The participants were selected using the total population sampling method. The required data were collected through demographic characteristics form, Maslach Burnout Inventory (1985), and the World Health Organization Quality of Life Instrument (2004). The collected data were then analyzed in SPSS software (version 26) through Pearson's correlation coefficient and regression at the significance level of P<0.05. Findings: In this study, the mean±SD values of job burnout and quality of life were obtained at 76.1±11.4 and 72.9±5.9, respectively. There was a significant inverse correlation between job burnout and quality of life (r=-0.296, P<0.001). Furthermore, the linear regression test of the components of personality distortion and individual performance did not show a significant effect on the quality of life of nurses. The component of emotional exhaustion (P=0.001) had a significant negative effect on the quality of life of nurses working at intensive care units. Discussion & Conclusion: Managers must adopt support, encouragement, and educational programs to prevent adverse effects on nurses during the outbreak of health crises

Translation and psychometric properties of the Copenhagen Burnout Inventory in Iranian nurses

Background: Burnout has its focus on exhaustion and it includes persistent response to long-lasting job-related stressful events. It has a special relevance in health care area in which staff is under constant psychological, emotional, and physical stress. The results of several studies on burnout prevalence among Iranian nurses indicate its high incidence. Therefore, more accurate researches are required for better preventive interventions, and to do so, a reliable validated scale is required. One of the suitable and new tools for the measurement of burnout is Copenhagen Burnout Inventory (CBI). This study aimed to translate and investigate psychometric properties of CBI in Iranian nurses. Materials and Methods: In this methodological study, after the translation process, face and content validities via qualitative and quantitative methods was done. Content validation ratio, scale-level content validated index, item-level content validity index were measured. Then, construct validity was determined through factor analysis. Furthermore, internal consistency reliability and stability were assessed. The questionnaire was sent to 450 nurses who were randomly selected via quota sampling. Results: Face and content validity were acceptable. After translation and cultural adaptation process, exploratory factor analysis suggested a new model based on four factors and fit indices validated this model via confirmatory factor analysis. Internal consistency and stability of CBI were affirmed for each subscale separately. Conclusions: The four-factor Persian version of the CBI proved to enjoy acceptable psychometric properties. It can be applied to evaluate burnout in Iranian nurses or other health care providers