๐Ÿง‘๐Ÿผโ€๐Ÿ’ป Research - September 14, 2025

Determining pediatric nurses’ anxiety levels, concerns, and metaphor perceptions towards artificial intelligence technologies: A mixed-method study.

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โšก Quick Summary

A recent study examined the anxiety levels and concerns of pediatric nurses regarding artificial intelligence (AI) technologies, revealing that a significant majority hold a negative perception despite recognizing AI’s potential benefits. The findings highlight the need for targeted training to address knowledge gaps and improve the integration of AI in pediatric nursing.

๐Ÿ” Key Details

  • ๐Ÿ‘ฉโ€โš•๏ธ Participants: 422 pediatric nurses from Turkey
  • ๐Ÿ“Š Tools Used: Artificial Intelligence Anxiety Scale, Semi-Structured Interview Form
  • ๐Ÿ“ Study Design: Mixed-method research
  • ๐Ÿ“ˆ Anxiety Score: 48.29 ยฑ 13.53 on the AI Anxiety Scale

๐Ÿ”‘ Key Takeaways

  • ๐Ÿ˜Ÿ Majority Concern: 69.5% of nurses have a negative perspective on AI in pediatric nursing.
  • ๐Ÿ’ก Positive Outlook: Only 30.5% evaluated AI positively.
  • โš ๏ธ Specific Concerns: 94.9% expressed negative concerns regarding AI use.
  • ๐Ÿค– Recognized Benefits: Nurses acknowledge AI’s potential to reduce workload and errors.
  • ๐Ÿ’” Emotional Concerns: Issues of empathy and ethics are significant worries.
  • ๐Ÿ” Knowledge Gaps: Training is essential for safe and effective AI integration.

๐Ÿ“š Background

The integration of artificial intelligence in healthcare is rapidly evolving, offering promising solutions to enhance patient care. However, the acceptance and implementation of these technologies can be challenging, particularly among healthcare professionals. Understanding the perspectives of pediatric nurses is crucial, as they play a vital role in the care of children and their families.

๐Ÿ—’๏ธ Study

This study aimed to explore the anxiety levels, concerns, and metaphor perceptions of pediatric nurses towards AI technologies. Conducted with 422 participants in Turkey, the research utilized a mixed-method approach, combining quantitative data from the AI Anxiety Scale with qualitative insights from semi-structured interviews.

๐Ÿ“ˆ Results

The results indicated an average anxiety score of 48.29 ยฑ 13.53 among the nurses. Sentiment analysis of their responses revealed that a staggering 69.5% held a negative view of AI in pediatric nursing, while only 30.5% viewed it positively. Concerns were predominantly negative, with 94.9% expressing worries about various aspects of AI implementation.

๐ŸŒ Impact and Implications

The findings of this study underscore the importance of addressing the knowledge gaps among pediatric nurses regarding AI technologies. By providing targeted training and resources, healthcare institutions can help alleviate anxiety and foster a more positive outlook on AI, ultimately enhancing patient care and safety in pediatric settings.

๐Ÿ”ฎ Conclusion

This study highlights the complex relationship between pediatric nurses and AI technologies. While there is recognition of AI’s potential to improve care, significant concerns remain that must be addressed through education and support. The future of AI in pediatric nursing will depend on how effectively we can bridge these gaps and foster a collaborative environment for technology integration.

๐Ÿ’ฌ Your comments

What are your thoughts on the integration of AI in pediatric nursing? Do you believe that training can help alleviate concerns? Let’s discuss! ๐Ÿ’ฌ Leave your comments below or connect with us on social media:

Determining pediatric nurses’ anxiety levels, concerns, and metaphor perceptions towards artificial intelligence technologies: A mixed-method study.

Abstract

AIM: This study was conducted to determine the anxiety levels, concerns, and metaphor perceptions of pediatric nurses towards artificial intelligence (AI) technologies.
DESIGN AND METHODS: A mixed-method research design was used in this study. This study was conducted with 422 pediatric nurses in Turkey. The data were collected through an “Introductory Information Form”, the “Artificial Intelligence Anxiety Scale”, and a “Semi-Structured Interview Form” via face-to-face interviews.
RESULTS: A total score of 48.29ย ยฑย 13.53 was obtained from the Artificial Intelligence Anxiety Scale applied to the participants. In order to gain deeper insight into their perspectives, participants were also asked the open-ended question: “What do you think about the use of AI in pediatric nursing practices?” When the sentiment analysis of the answers to this question was examined, it was seen that 30.5% of pediatric nurses evaluated the use of AI positively, and 69.5% had a negative perspective. Additionally, to explore specific concerns, the participants were asked: “What are you most concerned about the use of AI in pediatric nursing practices?” When the sentiment analysis distributions of the answers given to this question were examined, it was determined that 5.1ย % were positive and 94.9ย % negative.
CONCLUSIONS: This study shows that pediatric nurses, despite recognizing AI’s potential to reduce workload, errors, and improve care, largely perceive it negatively due to concerns about empathy, role shifts, ethics, credibility, technical issues, privacy, and malpractice.
PRACTICE IMPLICATIONS: Addressing nurses’ knowledge gaps through training is key to safe and effective AI use in pediatric care.

Author: [‘Tutar ลž’, ‘ร–zgรถrรผ H’, ‘ร–gรผr Z’]

Journal: J Pediatr Nurs

Citation: Tutar ลž, et al. Determining pediatric nurses’ anxiety levels, concerns, and metaphor perceptions towards artificial intelligence technologies: A mixed-method study. Determining pediatric nurses’ anxiety levels, concerns, and metaphor perceptions towards artificial intelligence technologies: A mixed-method study. 2025; 85:441-450. doi: 10.1016/j.pedn.2025.09.005

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