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

摘要： 目的：利用共词聚类分析法对近10年来国外关于儿科护理的文献进行可视化分析，总结目前国外在该领域的研究热点。方法：在PubMed数据库以“Pediatric, Nursing[Mesh Terms]”为检索词，限定期刊年限为2011年至2020年，将符合研究标准的期刊文献，利用Bicomb 2书目共现软件提取高频关键词并建立矩阵，再运用Ucinet 6.0软件NetDraw功能描绘关键词共现网络图，展示高频关键词之间的共篇关系，利用SPSS 19.0进行关键词多维尺度分析和聚类分析。结果：最终纳入文献2 510篇，提取高频关键词21个，研究热点分为3个类团：①新生儿护理方面的研究；②儿科护患关系及护患心理方面的研究；③儿科护理教育和护理管理方面的研究。结论：借助共词分析法，有助于了解儿科护理领域的研究热点。

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