The effect of digitalization on the career intentions of nursing students: A cross-sectional study

Nurse Educ Pract. 2023 Aug:71:103726. doi: 10.1016/j.nepr.2023.103726. Epub 2023 Jul 21.

Abstract

Aim: We investigate how the confirmation of expectations about digital technology in the workplace affects the career intentions of nursing students. We also explore the role of task fit in mediating (1) digital technology satisfaction and job satisfaction and (2) digital technology satisfaction and career intentions.

Background: The turnover of graduating geriatric nursing students is very high and rising. To support the work of nursing staff, elderly care institutions are beginning to adopt digital technologies that aid in nursing tasks. However, it is unclear whether students' perceptions of those digital technologies have an impact on their career intentions.

Design: This is a cross-sectional study.

Methods: We recruited 549 geriatric nursing students. Data were collected from December 2022 to March 2023. The questionnaire included seven sections: expectation confirmation, perceived usefulness, perceived safety, digital technology satisfaction, task fit, job satisfaction and career intentions. The validity and reliability of the model were confirmed.

Results: The results show that the confirmation of students' expectations for the digital technology used in elderly care services has a positive impact on their career intentions. However, the results do not confirm the impact of perceived security on digital technology satisfaction, or the effect of job satisfaction on career intentions.

Conclusion: Elderly care institutions and educators should monitor the current state of the digital work environment to ensure that it can adequately support students in their work. They should ensure the use of advanced and appropriate technology tools in teaching and clinical environments to provide a richer and more vivid learning experience. These initiatives can support nursing students in their transition from school to practice and increase their willingness to stay in the profession.

Keywords: Career intention; Digital technology; Job satisfaction; Nursing Education; Nursing students.

MeSH terms

  • Aged
  • Career Choice
  • Cross-Sectional Studies
  • Humans
  • Intention*
  • Job Satisfaction
  • Reproducibility of Results
  • Students, Nursing*
  • Surveys and Questionnaires