探索韩国护理科学领域的数字健康研究趋势:主题建模方法

IF 1.6 4区 医学 Q2 NURSING Advances in Nursing Science Pub Date : 2024-10-10 DOI:10.1097/ANS.0000000000000543
Hae Won Kim, JiYeon Choi, Ji-Su Kim, Youn-Jung Son
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引用次数: 0

摘要

数字健康技术在当代护理实践和教育中得到广泛应用。本综述采用主题建模法探讨了韩国数字健康应用的范围以及涉及数字健康的护理研究的主要趋势。我们使用 Latent Dirichlet Allocation 模型对数据进行了分析,确定了四个不同的研究课题:使用数字技术的护理教育(35.17%)、使用数字技术的医院护理实践(19.88%)、用于健康教育的数字技术(25.75%)以及支持慢性病自我管理的数字技术开发(19.20%)。我们的研究结果揭示了数字健康护理研究的趋势、当前问题和差距。
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Exploring Research Trends on Digital Health in Nursing Science in Korea: A Topic Modeling Approach.

Digital health technology is utilized in contemporary nursing practice and education. This review explored the scope of digital health applications and major trends in nursing research involving digital health in Korea using topic modeling. Our analysis of data using the Latent Dirichlet Allocation model identified four distinct research topics: nursing education using digital technologies (35.17%), hospital-based nursing practice using digital technologies (19.88%), digital technologies for health education (25.75%), and development of digital technologies to support self-management of chronic conditions (19.20%). Our findings reveal trends, current issues, and gaps in digital health nursing research.

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来源期刊
CiteScore
2.80
自引率
6.20%
发文量
93
审稿时长
>12 weeks
期刊介绍: Consistently ranked as one of the most-read and most assigned journals by faculties of graduate programs in nursing, Advances in Nursing Science (ANS) is intellectually challenging, innovative and progressive, and features articles from a wide range of scholarly traditions. The journal particularly encourages works that speak to the need for global sustainability and that take an intersectional approach, recognizing class, color, sexual and gender identity, and other dimensions of human experience related to health. Articles in ANS are peer-reviewed and chosen for their pioneering perspectives and for their significance in contributing the evolution of the discipline of nursing.
期刊最新文献
Exploring Research Trends on Digital Health in Nursing Science in Korea: A Topic Modeling Approach. Nursing Professional Identity: A Critical Review of the Concept Amidst COVID-19. Bibliometric Analysis (2000-2024) of Research on Artificial Intelligence in Nursing. Capturing Intersections of Discrimination: Quantitative Analysis of Nursing Students' Experiences. Empowering Nurses Through Data Literacy and Data Science Literacy: Insights From a State-of-the-Art Literature Review.
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