Analysis of the demand and factors of standardized training among EENT new nurses based on Goldstein model

  • Hu Yanqiu ,
  • Deng Haoyue ,
  • Cheng Guiqing ,
  • Gui Chunyi
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  • 1Nursing Department, Eye and ENT Hospital of Fudan University, Shanghai 200031, China;
    2Four-year Program of nursing, Enrolled in 2016, School of Nursing, Fudan University, Shanghai 200032, China;
    3Four-year Program of nursing, Enrolled in 2017, School of Nursing, Fudan University, Shanghai 200032, China

Received date: 2022-10-18

  Online published: 2023-07-31

Supported by

Eye and ENT Hospital of Fudan University Nursing Research Fund (FENF202103); Fudan University Fosun Nursing Research Fund (FNF202044)

Abstract

Objective To explore the standardized training needs and its influencing factors among EENT new nurses in Shanghai, and provide a basis for improving the training program. Methods 216 EENT new nurses from 30 hospitals in Shanghai were investigated by using convenience sampling method. A survey questionnaire was designed based on the Goldstein model. T-test, ANOVA, and multivariate linear regression were used. Results The total score was (215.19±41.61) for standardized training needs, with the highest demand for knowledge dimension (39.34±8.12), followed by ability dimension (82.40±16.68), and the lowest demand for skill dimension (93.45±19.30). Multiple linear regression analysis showed that whether EENT new nurses have studied relevant knowledge(β=0.141, P=0.040)and whether they have participated in general hospital standardized training(β=-0.174, P=0.012) were the influencing factors. Conclusions EENT new nurses have a high demand for standardized training. It is recommended to consider various elements, such as learning experience of new nurses, the status quo of teaching faculty, and then to refine the training program for EENT new nurses.

Cite this article

Hu Yanqiu , Deng Haoyue , Cheng Guiqing , Gui Chunyi . Analysis of the demand and factors of standardized training among EENT new nurses based on Goldstein model[J]. Chinese Journal of Medical Education, 2023 , 43(8) : 574 -577 . DOI: 10.3760/cma.j.cn115259-20221018-01317

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