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| Co-word analysis of patient self-management based on PubMed database |
| HUANG Chujun1 DING Meizhu1▲ ZHANG Guangqing2 LIANG Guixing1 HU Peixin1 HU Siqin1 |
1.The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Province, Guangzhou 510006, China;
2.Party Committee Office, Southern Hospital of Southern Medical University, Guangdong Province, Guangzhou 510515, China |
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Abstract To explore the research hotspots and trend of patient self-management, and provide thought and basis for further research. Methods From the construction of the database to September, 2018, all literatures related patients′ self-management from PubMed were retrieved and were objectively analyzed by bibliometric analytics (BICOMS) and co-word analysis method. The high-frequency subject headings of patients′ self-management were analyzed by co-occurrence bibliographic information mining system and SPSS 22.0. Results A total of 1809 related literatures were retrieved, and 58 high-frequency keywords were obtained. Through the analysis of high frequency keywords, it was found that the study of patient self-management gradually formed eight research hotspots: patient self-management efficiency, outcome relationships, physician/nurse-patient relationships, patient compliance, diabetes, drug self-management, self-care and educational research for chronic diseases, chronic diseases and telemedicine. Conclusion Patient self-management is in the stage of vigorous development, but the research level and characteristics need to be improved, and the standardization and systematization of patient self-management should be explored step by step.
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