Analysis of factors related to the mental workload of nurses during interaction through nursing care in the intensive care unit

OBJECTIVE

This research aims to identify the factors most closely related to the mental workload of nurses during interactions through nursing care in the intensive care unit.

METHOD

This study is quantitative cross-sectional research using a questionnaire for data collection. This study used total population sampling of 129 nurses working in the intensive care unit. The data was analyzed using Chi-Square and multiple logistic regression.

RESULT

The result of the logistic regression test showed that the motivation factor (p=0.022; α=0.05) is the most influential variable in the mental workload of nurses compared to the other variables (individual, task, and organizational factors).

CONCLUSION

Hospitals can optimize socialization through a reward system as well as implement a competence and soft skill development program for nurses.

Data for the prevalence of nurses׳ burnout in Iran (a meta-analysis dataset)

The present dataset was carried out using meta-analysis method towards investigation of the prevalence of nurses׳ burnout in Iran. To this end, the keywords were searched in the Iranian databases such as Medlib, SID, Iranmedex, Magiran or even some international databases such as Cochrane, Science-Direct, Scopus, PubMed, and Google Scholar. The data were analysed using the STATA Software Version 12. In ten articles with a sample size of 1758 subjects, an average age of 30.73 (54%) and the confidence interval of 43–64, the prevalence of burnout was reported. The obtained data indicated that Fars and Zanjan Provinces had the highest and lowest rates of burnout (72% and 26%, respectively). According to the acquired data, the total prevalence of burnout among men and women measured 46% and 65%, respectively. Given the high prevalence of burnout among the Iranian nurses in this dataset and the importance of nursing in public health which requires highly motivated and committed nurses with high job satisfaction, it is recommended that the intensity of burnout be reduced through supervising the nurses׳ professional performance, supporting, paying attention to their problems, following up and providing the necessary strategies to improve their environmental, economic, and personal conditions.