Current status and influencing factors of decision fatigue among nursing staff in NICU: a cross-sectional study

Author:

Li Tuan1,Zhou Yu-e2,Liu Tianyun2,Fu Yingping1

Affiliation:

1. Yunnan University of Chinese Medicine

2. The Third People's Hospital of Yunnan Province

Abstract

Abstract Background The work in NICU puts forward higher requirements for nurses' professional ability and emergency response ability. Nurses often need to face a variety of complex emergencies, quickly make decisions, which easily lead to decision fatigue. At present, the domestic research mainly focuses on the decision-making fatigue of patients' families, and no relevant research has been found on the decision-making fatigue of NICU nurses. Objectives To investigate the status of decision fatigue of nursing staff in NICU and analyze its influencing factors, so as to provide reference for formulating and implementing corresponding intervention measures. Design An online cross- sectional survey. Participants Nurses working at provincial tri Service hospitals in Yunnan, China Primary and secondary outcome measures In February, 2023, 218 NICU nurses in four Class III A hospitals in Yunnan Province were investigated by using general information questionnaire, Chinese version of decision fatigue scale and self-control scale, and the influencing factors of decision fatigue of NICU nurses were analyzed by multiple stepwise regression. Results The total score of decision fatigue scale for 218 nursing staff in NICU was (18.56±2.812) and the score of self-control was (49.37±9.962). Multivariate stepwise regression analysis showed that age, length of service, professional title, monthly income, and self-control were the influencing factors of decision fatigue for nursing staff in NICU (all P <.05). Conclusion Nurses in NICU had higher degree of decision-making fatigue. Managers should pay attention to the status quo of decision-making fatigue of nursing staff in NICU and take corresponding intervention measures on influencing factors.

Publisher

Research Square Platform LLC

Reference34 articles.

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