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391296

Effect of Instructional Sessions on Nursing Perspectives and Attitudes Regarding Use of Artificial Intelligence for Fetal Monitoring in Maternity Units

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Last updated: 24 Dec 2024

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Abstract

Background: The inclusion of artificial intelligence (AI) based technologies in nursing practice has sparked concerns and public discussions, with some people worried that this technology could replace nurses. Aim: The study examined the effect of instructional sessions on nursing perspectives and attitudes regarding use of artificial intelligence for fetal monitoring in maternity units. Design:  A quasi-experimental design was used, involving a single group pre- and post-intervention.  Setting: The study was conducted at Minia University Hospital's maternity units in Egypt.  Sample: A purposive sample of 51 nurses working in maternity units was included. Tools:  Two tools were used: Self-administered questionnaire about nurses' demographics and perspectives on AI-driven Cardiotocography (CTG) for fetal monitoring, and a questionnaire about nurses' attitudes towards using AI for fetal monitoring. Results:  Before the training, 76.5% of nurses had low total perspectives scores and 77.4% had a negative attitude. After the training, 62.8% had high total perspectives scores and 76.5% had a positive attitude, with significant differences. Additionally, there were significant differences between demographic characteristics and total perspectives and attitudes levels post-intervention (P<0.001), and a significant positive correlation between nurses' total perspectives and attitudes post-intervention (r= 0.980 & p= 0.001). Conclusion: The study concluded that the training sessions significantly improved maternity nurses' perspectives and attitudes towards using AI-driven CTG for fetal monitoring.  Recommendations: Providing maternity nurses with in-service training programs on AI applications in obstetrics and ongoing education on AI.

DOI

10.21608/ejhc.2024.391296

Keywords

artificial intelligence, Fetal monitoring, Maternity nurses' perspectives and attitudes

Authors

First Name

Amany

Last Name

Shehata Ahmed

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Affiliation

Lecturer of Maternity and Newborn Health Nursing, Faculty of Nursing, Damietta University, Egypt.

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First Name

Safaa

Last Name

Helmy Mohamed

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Affiliation

Assistant Professor of Obstetrics and Gynecological Nursing Department, College of Health Science, Al Rayan National College, Medinah, Al Munaawwarah, Saudi Arabia & Faculty of Nursing, Assuit University, Egypt.

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First Name

Mona

Last Name

Ahmed Abd-Elhamed

MiddleName

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Affiliation

Assistant Professor of Women's Health and Obstetrics Nursing, Faculty of Nursing, Minia University, Egypt.

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Volume

15

Article Issue

3

Related Issue

49421

Issue Date

2024-09-01

Receive Date

2024-11-10

Publish Date

2024-09-01

Page Start

1,301

Page End

1,314

Print ISSN

1687-9546

Online ISSN

3009-6766

Link

https://ejhc.journals.ekb.eg/article_391296.html

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https://ejhc.journals.ekb.eg/service?article_code=391296

Order

391,296

Type

Original Article

Type Code

631

Publication Type

Journal

Publication Title

Egyptian Journal of Health Care

Publication Link

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

MainTitle

Effect of Instructional Sessions on Nursing Perspectives and Attitudes Regarding Use of Artificial Intelligence for Fetal Monitoring in Maternity Units

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Article

Created At

24 Dec 2024