Bibliometric analysis of researches of Orem self-care model in China based on BICOMB

• 作者: Miao Li Yue Cheng
• 来源期刊: TMR整合护理
• 学科: 医学
• 关键词: Orem self-care model Co-occurrence analysis system Research hotspot Bibliometric analysis
• 年，卷（期）: 2021,（1）
• 页码范围: 21-29
• 页数: 9页
• 分类号: R47

摘要

Objective:To analyze the hotspots of the Orem self-care model research from the construction of CNKI database to May 2019,and to understand the research status in this field and to explore its development trend.Methods:"Orem self-care model"was used as the search term to search CNKI database,and the Bibliographic Items Co-occurrence Matrix Builder(BICOMB)was used to perform bibliometric analysis on the annual distribution,authors,keywords,etc.in related articles,and SPSS 23.0 was utilized to cluster analysis of high-frequency keywords.Results:A total of 1845 associated articles were included.The annual change of Orem self-care model literatures showed an increasing trend and a total of 1604 first authors were extracted.Today Nurse published the most relevant literatures.The research extracted 56 high-frequency keywords,accounting for 50.88%of the total frequency.Co-word cluster analysis obtained five research hotspots:clinical application effect and patient satisfaction of Orem self-care model;self-care ability and quality of life of breast cancer patients;self-care behaviors for the elderly and community care;rehabilitation nursing of stroke and spinal cord injury;Orem self-care model,nursing theory.Conclusion:Analyzing the research hotspots of Orem self-care model in recent years is helpful to understand the current status in this field and future development trends,and provide references for future nursing clinical practice work and education and scientific research.