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The Relationship Between Anxiety and Readiness Levels Regarding Artificial Intelligence in Midwives: An
Ayşe Nur Yilmaz1, Sümeyye Altiparmak, Remziye Sökmen
1Author Affiliations: Department of Midwifery, Faculty of Health Sciences, Fırat University (Dr Yilmaz), Elazığ; Department of Midwifery, Faculty of Health Sciences, Inonu University (Dr Altiparmak), Malatya; and Private Eastern Anatolia Hospital (Ms Sökmen), Elazig, Türkiye.
Computers, Informatics, Nursing : CIN
|February 17, 2025
Summary
Artificial intelligence anxiety among midwives is highest in Generation X and lowest in Generation Z. Conversely, Generation Z shows the greatest readiness for medical AI, while Generation Y is least ready.
Area of Science:
- Healthcare technology adoption
- Generational studies in medicine
- Artificial intelligence in healthcare
Background:
- Artificial intelligence (AI) is increasingly integrated into healthcare, necessitating an understanding of professional readiness and acceptance.
- Generational differences may influence attitudes towards new technologies like AI in the medical field.
- Midwives' perspectives on AI are crucial for its effective implementation in obstetric care.
Purpose of the Study:
- To compare anxiety and readiness levels regarding artificial intelligence (AI) among midwives across Generations X, Y, and Z.
- To examine the relationship between AI anxiety and readiness in midwives across different generations.
- To identify generational trends in AI perception within the midwifery profession.
Main Methods:
- A cross-sectional, comparative study was conducted with 218 midwives in Eastern Turkey.
- Data were collected using the Personal Information Form, Artificial Intelligence Anxiety Scale, and Medical Artificial Intelligence Readiness Scale.
- Statistical analyses included descriptive statistics, one-way ANOVA, Pearson correlation, and regression analysis.
Main Results:
- Artificial intelligence anxiety levels were highest in Generation X (47.07 ± 12.10), followed by Generation Y (43.91 ± 12.63), and lowest in Generation Z (36.16 ± 12.61) (P < .05).
- Medical artificial intelligence readiness was highest in Generation Z (74.73 ± 16.15), followed by Generation X (67.43 ± 14.28), and lowest in Generation Y (66.78 ± 17.83) (P < .05).
- A significant, weakly negative correlation was found in Generation Z, indicating that increased AI anxiety was associated with decreased AI readiness.
Conclusions:
- Midwives' AI anxiety levels significantly differ by generation, with Generation X exhibiting the most anxiety and Generation Z the least.
- Generation Z demonstrates the highest readiness for medical AI, while Generation Y shows the lowest.
- Interventions to foster AI adoption in midwifery should consider generational differences in anxiety and readiness.
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