Latent profile analysis of mental workload among emergency department nurses: a cross-sectional study.

Abstract

Aim: Emergency department nurses experience varying degrees of mental workload due to various factors. The group with medium to high levels of mental workload requires particular attention. There is limited research on the potential profiles of mental workload among emergency department nurses. The purpose of this study was to identify different potential profiles of mental workload among emergency department nurses and analyze the influencing factors.

Design: A cross-sectional study.

Methods: This study followed the STROBE guidelines. The NASA-TLX scale was used to assess the mental workload of emergency department nurses, and latent profile analysis was employed to identify different potential profiles of their mental workload. Statistical methods, including Pearson's chi-square test and logistic regression analysis, were performed to identify factors affecting the mental workload of emergency department nurses.

Results: A total of 305 emergency department nurses completed the survey, with the majority experiencing a moderate to severe mental workload. Mental workload was a complex and dynamic phenomenon influenced by many factors. The main factors affecting mental workload included age (year), marital status, monthly income (RMB), support style, coping style, and personality traits.

Conclusion: The study suggested that mental workload among emergency department nurses is widespread in China. Nursing managers should provide targeted interventions based on the mental workload profiles of emergency department nurses. It is also crucial to enhance support from family and friends for emergency department nurses in their professional endeavors. This support should facilitate the adoption of positive coping styles to effectively address challenges. Tailored interventions, based on individual personality traits, should be implemented to reduce mental workload and promote the growth of the emergency department nursing team.