A co-word cluster analysis of transitional care
10.3760/cma.j.issn.1672-7088.2018.23.014
- VernacularTitle:我国延续性护理研究热点的共词聚类分析
- Author:
Gui LI
1
;
Xiaoping ZHU
;
Xiaoli CHEN
Author Information
1. 430072,武汉大学中南医院护理部
- Keywords:
Transitional care;
Co-word analysis;
Cluster analysis
- From:
Chinese Journal of Practical Nursing
2018;34(23):1824-1829
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the key issues and future trends of transitional care. Methods CNKI, the Wanfang Database, VIP and SinoMed from 2002 to 2018 were searched with words of"Transitional Care", and BICOBM2.0 was used to extract high frequency words and form the co-word matrix, and gCLUTO1.0 was used to do cluster analysis, to create matrix visualization and mountain visualization. Results A total of 5376 articles were retrieved, and 12931 subject terms were extracted, and 29 high frequency key words were obtained. The key issues of these studies were: transitional care used in anxiety and depression;transitional care used in rehabilitation;transitional care used in improving the quality of life of old people with chronic diseases; transitional care used in improving the self-care ability and of health behavior of people with chronic diseases;information technology used in transitional care. Conclusion Researches of transitional care in China are developing rapidly and the fields are growing well. The research on anxiety, depression, rehabilitation of stroke and quality of life has been mature, and there still have expansion capacity for transitional care in self-care ability, health behavior and informatization.
