Identification of critical quality factors and critical satisfaction gaps in emergency training courses for new nurses by the multi-criteria network structure model

Abstract

Objective To identify critical quality factors and critical satisfaction gaps in emergency training courses for new nurses through a systematic decision-making model. Methods Firstly, the service quality (SERVQUAL) was used in the evaluation index system of this study. Then, the decision-making trial and evaluation laboratory (DEMATEL) method was used to analyze the relationship structure and the corresponding weights between the indicators. Finally, the importance-performance analysis (IPA) method was used to identify the categories of all indicators and the corresponding strategic directions. Fifteen new nurses in Taizhou Hospital of Zhejiang Province were selected as participants in this study. Results The IPA results showed that “(C13),” “(C22),” “(C52),” “(C53),” “(C54),” “(C55),” “(C56),”and “(C57)” are critical satisfaction gaps. From the results of influence network and weight, empathy (C5) was the critical quality factor of the entire training course. The influence network relationship structure and weight had a 98.1% significant confidence level, indicating good stability. Conclusion Teachers’ empathy is key to the learning outcomes of new nurses in emergency nursing training courses. Hence, teachers should be attentive to the empathetic quality of their teaching methods to help new nurses gain knowledge and experience in emergency care, especially when they come from different professions and departments.

Improve the satisfaction of medical staff on the use of home nursing mobile APP by using a hybrid multi-standard decision model

“…It involves comparing or classifying attributes based on their relative importance and performance ratings, aiding decision-makers in prioritizing areas for improvement [ 40 ]. Owing to its simplicity and ease of use, the IPA method finds widespread application in public health, nursing, and education [ 16 , 41 – 43 ]. The application steps of the IPA method are as follows [ 44 ]:…”