关键词: 儿科护理, 可视化分析, 共词分析, 聚类分析, 多维尺度分析

Abstract: Objective: To visualize the foreign literature on pediatric nursing with co-word clustering analysis method in the last 10 years, and then summarize the research hot spots in this field. Methods: With“Pediatric,Nursing[Mesh Terms]” as the free word, the PubMed database was searched for the journal articles that met the research criteria from 2011 to 2020. To reveal the relationship between different high-frequency key words, Bicomb 2 was used for extracting high frequency key words and setting up a matrix, and Netdraw which was one function of Ucinet 6.0 software was used for co-occurrence analysis, while SPSS 19.0 was used to make multi-dimensional scale analysis and clustering analysis. Results: Total of 2 510 articles were identified and 21 frequently used keywords were extracted. And research hot spots were divided into 3 clusters:①study on nursing of newborns; ②study on the relationship between pediatric nurses and patients and the psychological nursing; ③study on nursing education and management in pediatrics. Conclusion: It is helpful to understand the research hot spots in the field of foreign pediatric nursing by the co-word clustering analysis.

Key words: Pediatric nursing, Visualized analysis, Co-word analysis, Cluster analysis, Multidimensional scaling analysis