数字化临床实践环境、未满足期望与护理学生成功转型的关系:一项横断面研究

IF 1.9 4区 医学 Q2 NURSING
Yuting Feng, Ying Wang, Liyan Lu, Changyong Liang, Li Jiang
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引用次数: 0

摘要

目的探讨数字化老年护理临床实践环境中未满足的期望对老年护理专业学生负性情绪和离职意向的影响,并考察主动性人格特质的调节作用。方法于2022年12月至2023年3月进行横断面研究。研究对象为来自安徽省16所学校的609名符合纳入标准并同意参与的护理专业学生。完成了《数字技术未满足期望量表》、《消极情绪量表》、《主动性人格量表》和《离职意向量表》。采用SPSS和SmartPLS进行数据分析。结果未达到对数字技术的期望被认为是老年护理学生成功过渡到劳动力的重大障碍。而主动性人格对未满足的系统质量期望与消极影响、未满足的信息质量期望与消极影响、未满足的系统质量期望与离职倾向之间的关系没有调节作用。结论临床培训环境中与数字技术相关的未满足期望阻碍了老年护理学生向劳动力的过渡。有必要采取措施,促进这一领域的学生更顺利地过渡。关于这个话题我们已经知道了什么?护生流失率高是造成老年护理护士短缺的主要原因之一。护生离职意向受多种因素的影响。很少有研究考察数字化老年护理临床实践环境中未满足的期望对学生离职意向的影响机制。这篇论文补充了什么?扩展了刺激-有机体-反应(S-O-R)模型的应用,以探索护理领域数字技术使用与离职意图之间的关系。这项研究表明,在临床实践环境中,对数字技术的未满足期望影响了学生向劳动力的成功过渡。拓展对主动性人格特质在护理中的应用的理解,探索其在数字技术和离职意向中的调节作用。本文的意义:本研究强调了数字化临床实践环境对护理学生在老年护理中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Relationship Between the Digital Clinical Practice Environment, Unmet Expectations and the Successful Transition of Nursing Students: A Cross-Sectional Study

Aims

This study investigates how unmet expectations in the digital clinical practice environment for elderly care impact the negative affect and turnover intentions of students majoring in elderly care and examines the moderating role of proactive personality traits.

Methods

A cross-sectional study was conducted between December 2022 and March 2023. Participants included 609 nursing students from 16 schools in Anhui Province, China, who met inclusion criteria and consented to participate. They completed the Digital Technology Unmet Expectations Scale, Negative Affect Scale, Proactive Personality Scale and Turnover Intention Scale. Data analysis was performed using SPSS and SmartPLS.

Results

Unmet expectations regarding digital technology were identified as significant barriers to the successful transition of elderly care students into the workforce. However, no moderating effects of proactive personality were found on the relationships between unmet expectations concerning system quality and negative affect, unmet expectations regarding information quality and negative affect or unmet expectations regarding system quality and turnover intention.

Conclusion

Findings suggest that unmet expectations related to digital technology in the clinical training environment hinder the transition of elderly care students to the workforce. It is essential to implement measures to facilitate a smoother transition for students in this field.

Summary

What Is Already Known About This Topic?

  • The high rate of nursing student turnover is one of the major reasons for the shortage of elderly care nurses.
  • The turnover intention of nursing students is influenced by many factors.
  • Few studies have examined the mechanism of unmet expectations in the digital clinical practice environment of elderly care on the turnover intentions of students.

What This Paper Adds?

  • Extends the application of the Stimulus-Organism-Response (S-O-R) model to explore the relationship between digital technology use and turnover intentions in the nursing field.
  • This study shows that unmet expectations regarding digital technology in the clinical practice environment affect the successful transition of students to the workforce.
  • Expands understanding of the application of proactive personality traits in nursing, exploring their moderating role in digital technology and turnover intentions.

The Implications of This Paper:

  • This study highlighted the importance of the digital clinical practice environment for nursing students in elderly care.
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来源期刊
CiteScore
4.10
自引率
0.00%
发文量
85
审稿时长
3 months
期刊介绍: International Journal of Nursing Practice is a fully refereed journal that publishes original scholarly work that advances the international understanding and development of nursing, both as a profession and as an academic discipline. The Journal focuses on research papers and professional discussion papers that have a sound scientific, theoretical or philosophical base. Preference is given to high-quality papers written in a way that renders them accessible to a wide audience without compromising quality. The primary criteria for acceptance are excellence, relevance and clarity. All articles are peer-reviewed by at least two researchers expert in the field of the submitted paper.
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