Research hotspots and trends analysis of traditional Chinese medicine nursing for stroke based on co-word analysis

Objective To explore the research hotspots and trends of traditional Chinese medicine (TCM) nursing for stroke. Methods Literatures on TCM nursing for stroke were retrieved in Chinese National Knowledge Infrastructure (CNKI) , WanFang Data, VIP, China Biological Medicine (CBM) from building database to September 2018. The data management tools included BICOMB 2.0, SPSS 22.0 and UCINET 6.0. The research hotspots and trends of TCM nursing for stroke were analyzed with the methods of co-word analysis, clustering analysis and social network analysis. Results A total of 7 253 literatures were included involving 17 236 keywords and 30 high-frequency keywords. Clustering analysis showed that research hotspots of TCM nursing for stroke focused on the application of auricular buried beans in symptomatic nursing for stroke, negative emotion management of stroke, body function treatment after stroke and its research on model and TCM rehabilitation appropriate technology of stroke sequela. Social network analysis showed that scope and quantity of research hotspots of TCM nursing for stroke expanded year by year, exploration field was excavated and deepened constantly and inheritance emerged gradually. Conclusions Co-word, clustering and social network analysis objectively reflects the research hotspots and trends of TCM nursing for stroke which could provide the information support for researchers and clinical workers and provide a reference for research selected topic as well as clinical practice. Key words: Stroke; Traditional Chinese medicine nursing; Research hotspots; Co-word analysis; Social network analysis