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209023

Nurses' Anxiety level toward Partnering with Artificial Intelligence in Providing Nursing Care: Pre&Post Training Session

Article

Last updated: 03 Jan 2025

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Abstract

Context: Artificial intelligence is evolving and will transform health care. Given the potency of this
technology for patient care and its effect on health care providers, it is fundamental for nurses to
have an essential comprehension of artificial intelligence concepts. Aim: To evaluate the nurses'
anxiety level toward partnering with artificial intelligence in providing nursing care, pre&post
training session. Methods: Quasi-experimental (pretest-posttest) research design was utilized to
conduct the study at the Specialized Medical Hospital in different units (Cardiac, Diabetic, and
Hepatic) and critical Care Units (CCUs) (Neurological, Convalescence, and Anesthetic ICUs) of
Mansoura University Hospital. All available nurses (n=150) who working in the previously
mentioned settings, were invited to participate in the study. Two tools were used for data collection;
Nurses' demographic characteristics data and the artificial intelligence anxiety scale. Results: 28.5%
of the studied nurses in medical units had a severe anxiety level, and 43.7% of the nurses in critical
units had a moderate anxiety level pre-implementation of training session's activities related to
artificial intelligence, compared to 50.8% and 37.9% of the nurses in medical and critical units,
respectively who had minimal anxiety levels post-implementation of training session's activities
related to artificial intelligence. Conclusion: there was a statistically significant difference between
the studied nurses in medical units pre and post-implementation of training session's activities
related to (AI) (P= 0.044*). Also, a high statistically significant difference between the nurses in
critical units pre and post-implementation of training session's activities related to (AI) (P=
0.000**). The study recommended providing a continuous training sessions for nursing staff toward
dealing with artificial intelligence technology that can improve quality of care, enhance patients'
outcomes, and reduce their level of anxiety.

DOI

10.21608/ejhc.2021.209023

Keywords

artificial intelligence, anxiety, Nurses, nursing care

Authors

First Name

Walaa

Last Name

Nasreldin Othman

MiddleName

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Affiliation

Assistant professor, Medical Surgical Nursing, Faculty of Nursing, Mansoura University, Egypt.

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City

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Orcid

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First Name

Mostafa

Last Name

Mohamed Zanaty

MiddleName

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Affiliation

Lecturer, Critical Care and Emergency Nursing, Faculty of Nursing, Mansoura University, Egypt.

Email

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City

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Orcid

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First Name

Shaimaa

Last Name

Mohamed Elghareeb

MiddleName

-

Affiliation

Lecturer, Medical Surgical Nursing, Faculty of Nursing, Mansoura University, Egypt.

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City

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Orcid

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Volume

12

Article Issue

4

Related Issue

27604

Issue Date

2021-12-01

Receive Date

2021-12-13

Publish Date

2021-12-01

Page Start

1,386

Page End

1,396

Print ISSN

1687-9546

Online ISSN

3009-6766

Link

https://ejhc.journals.ekb.eg/article_209023.html

Detail API

https://ejhc.journals.ekb.eg/service?article_code=209023

Order

89

Type

Original Article

Type Code

631

Publication Type

Journal

Publication Title

Egyptian Journal of Health Care

Publication Link

https://ejhc.journals.ekb.eg/

MainTitle

Nurses' Anxiety level toward Partnering with Artificial Intelligence in Providing Nursing Care: Pre&Post Training Session

Details

Type

Article

Created At

22 Jan 2023