⚡ Quick Summary
This bibliometric analysis examined the top 100 most-cited studies on digital health in nursing education from 2020 to 2024, revealing a significant shift in focus from virtual reality (VR) to artificial intelligence (AI), particularly with the emergence of ChatGPT as a trending topic.
🔍 Key Details
- 📊 Dataset: 100 most-cited articles from 1993 to 2024
- 🌍 Countries involved: 22, with the United States contributing 33%
- 📝 Journal: Nurse Education Today was the most frequently cited
- 📈 Citation range: 198 to 1
- 🔍 Research types: Review articles had higher average citations (50.96) compared to original articles (24.08)
🔑 Key Takeaways
- 📚 Digital health is increasingly becoming a focal point in nursing education research.
- 🔄 Shift in focus: Research has transitioned from VR to AI technologies.
- 🤖 ChatGPT is emerging as a significant trend in digital health discussions.
- 🌐 Global contribution: 91 different first authors from 22 countries participated.
- 📖 Review articles are cited more frequently than original research articles.
- 📅 Publication span: Articles were published between 1993 and 2024.
- 🏆 Leading journal: Nurse Education Today leads in citation frequency.
📚 Background
The integration of digital health technologies into nursing education is a rapidly evolving field. As healthcare continues to embrace technological advancements, understanding the citation patterns and research trends in this area is crucial for guiding future studies and improving educational practices. This bibliometric analysis provides valuable insights into the most influential works in this domain.
🗒️ Study
Conducted by Zhou and Ma, this retrospective bibliometric analysis focused on the top 100 most-cited articles related to digital health in nursing education. The data was sourced from the Web of Science (WOS) Core Collection, and the analysis utilized tools such as Excel, SPSS, and VOSviewer to visualize keyword trends and examine various aspects of the publications.
📈 Results
The analysis revealed that the 100 most-cited articles were authored by 91 different individuals across 22 countries, with the United States being the most prolific contributor. The citation counts varied significantly, ranging from 198 to 1, highlighting the impact of certain studies over others. Notably, review articles had a higher average citation count compared to original research, indicating their importance in synthesizing knowledge in this field.
🌍 Impact and Implications
The findings of this study underscore the growing importance of digital health in nursing education research. As the focus shifts from VR to AI, particularly with tools like ChatGPT, educators and researchers are encouraged to explore these emerging technologies. This shift not only reflects current trends but also suggests a need for curricula that incorporate these advancements, ultimately enhancing the quality of nursing education and patient care.
🔮 Conclusion
This bibliometric analysis highlights the significant role of digital health in shaping the future of nursing education research. With AI technologies gaining traction, there is a clear opportunity for further exploration and integration into educational practices. As we move forward, continued research in this area will be essential for fostering innovation and improving healthcare outcomes.
💬 Your comments
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Bibliometric insights into the top 100 most-cited annual studies on digital health in nursing education (2020-2024).
Abstract
AIM: This study aims to use bibliometric methods to analyze highly cited nursing education articles on digital health, particularly those 100 top cited publications between 2020 and 2024, from the Web of Science (WOS) Core Collection.
DESIGN: A retrospective bibliometric analysis was conducted.
METHODS: A bibliometric analysis of the most-cited digital health articles on nursing education in English with the highest citations. Data were sourced from the WOS Core Collection. Analysis was conducted using Excel and SPSS, while VOSviewer was used to visualize keyword trends. The analysis included examining journal distribution, author patterns, research types, methodologies, and keyword trends.
RESULTS: The 100 most-cited articles were published between 1993 and 2024 by 91 different first authors from 22 countries. The United States contributed approximately 33% of the articles. Citation counts ranged from 198 to 1. Nurse Education Today was the most frequently cited journal. Review articles had higher average citations (50.96) compared to original articles (24.08). The focus of research has shifted from virtual reality (VR) to artificial intelligence (AI), with ChatGPT emerging as a new trend.
CONCLUSION: Digital health is becoming a significant focus in nursing education research. While VR has been a dominant topic, AI is now emerging as a key research area. The findings provide insights into citation patterns and research trends, supporting future impactful studies in this field.
Author: [‘Zhou C’, ‘Ma L’]
Journal: Digit Health
Citation: Zhou C and Ma L. Bibliometric insights into the top 100 most-cited annual studies on digital health in nursing education (2020-2024). Bibliometric insights into the top 100 most-cited annual studies on digital health in nursing education (2020-2024). 2025; 11:20552076251342165. doi: 10.1177/20552076251342165