Burnout in military hospital nurses in 2015 - a cross-sectional study

Document Type : Original Research

Authors

1 MSc in Nursing, School of Nursing, Baqiyatallah University of Medical Sciences, Iran, Tehran

2 Associate Professor, Department of Medical-Surgical, School of Nursing, Baqiyatallah University of Medical Sciences, Iran ,Tehran

3 Assistant Professor, Department of Psychiatric Nursing, School of Nursing, Baqiyatallah University of Medical Sciences, Iran, Tehran

Abstract

Background and Aim: There are burnouts among nurses due to high exposure to multiple stressors among nurses in military environments for various reasons. Basically due to the military nature of the environment and less flexibility these nurses experience more burnouts. This study was conducted in order to evaluate the rate of burnout in military nurses.

Methods: In this cross-sectional study, the studied population included the nurses and assistants in all medical wards which were randomly selected from a military hospitals in Tehran in June 2015. Data collecting instruments were demographic questionnaire and Maslach Burnout Inventory. Data were analyzed by SPSS 19 software and descriptive statistics (mean, standard deviation, frequency) and inferential statistics, including Pearson correlation coefficient and chi-square.

Results: In this research, 400 patients were studied. The average age of the military nurses were 36/45 ± 8/34 years and 69 percent of the participants were male. Burnout in the emotional exhaustion and depersonalization dimensions were respectively, 22% and 38% and in the personal achievement dimension was 100%. Also, a significant relationship was observed between the dimensions of burnout and some demographic information such as age, gender, work experience, employment status and marital status (P<0.001).

Conclusion: The high rate of burnout in military nurses in the dimension of personal achievement in this study indicated the need for paying more attention to the factors affecting burnout, such as lack of job stability, excluding nurses in decision-making, and low welfare and supportive services.

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