Deng JL, Yang K, Zhang S, Wang B, Zhang L, Zhao X. Discussion of the public interest in arthroscopy based on the Baidu index and its implications for nursing care. World J Orthop 2025; 16(2): 101895 [DOI: 10.5312/wjo.v16.i2.101895]
Corresponding Author of This Article
Xia Zhao, Department of Orthopaedics, The First Affiliated Hospital of Chengdu Medical College, No. 278 Middle Section of Baoguang Avenue, Chengdu 610500, Sichuan Province, China. 289503440@qq.com
Research Domain of This Article
Orthopedics
Article-Type of This Article
Scientometrics
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Orthop. Feb 18, 2025; 16(2): 101895 Published online Feb 18, 2025. doi: 10.5312/wjo.v16.i2.101895
Discussion of the public interest in arthroscopy based on the Baidu index and its implications for nursing care
Jia-Li Deng, Kai Yang, Shuai Zhang, Bin Wang, Li Zhang, Xia Zhao
Jia-Li Deng, Li Zhang, Xia Zhao, Department of Orthopaedics, The First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, Sichuan Province, China
Kai Yang, Emergency and Business Management Office, Chengdu Center for Disease Control and Prevention, Chengdu 610041, Sichuan Province, China
Shuai Zhang, Department of Anesthesiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, Sichuan Province, China
Bin Wang, Comprehensive Emergency Office, Qingbaijiang District Center for Disease Control and Prevention of Chengdu, Chengdu 610300, Sichuan Province, China
Co-first authors: Jia-Li Deng and Kai Yang.
Author contributions: Deng JL and Yang K equally designed the study and wrote the original draft; Zhang S and Zhang L collected and organized the data and conducted the preliminary analysis; Wang B analyzed the date and edited the manuscript; Zhao X designed the study and edited the manuscript; All authors reviewed and approved the final article. Deng JL and Yang K contributed equally to this work as co-first authors.
Conflict-of-interest statement: The authors declare no conflicts of interest.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Xia Zhao, Department of Orthopaedics, The First Affiliated Hospital of Chengdu Medical College, No. 278 Middle Section of Baoguang Avenue, Chengdu 610500, Sichuan Province, China. 289503440@qq.com
Received: September 30, 2024 Revised: January 6, 2025 Accepted: January 21, 2025 Published online: February 18, 2025 Processing time: 134 Days and 23.9 Hours
Abstract
BACKGROUND
Despite the widespread application of big data in topic analysis, the public’s attention and nursing requirements for arthroscopy remain inadequate.
AIM
To understand netizens’ concerns and spatial distributions regarding arthroscopy and to provide customized nursing strategies.
METHODS
The Baidu index was employed to gather and analyze the search index, demand graph, keyword popularity, and regional distribution data for the keywords “arthroscopy,” “knee arthroscopy,” and “arthroscopy surgery” from 2018 to 2023.
RESULTS
A total of 254692 items of information were searched for these keywords, with 59.86% from mobile terminals. Netizens’ interest in arthroscopy showed a fluctuating pattern, which was consistent with fluctuations in the elasticity coefficient, and was primarily concentrated in the provinces of Guangdong, Jiangsu, and Shandong.
CONCLUSION
The Baidu index provides new avenues for exploring public demand for arthroscopy. Nursing personnel can utilize these data to develop more precise health education plans and guidance, enhancing the quality and satisfaction of patient care.
Core Tip: At present, big data analysis platforms, such as the Baidu index, are extensively used to explore the concerns, demands, and spatial distribution characteristics of netizens towards certain hot topics. However, research on the public’s attention and nursing requirements for arthroscopy remains inadequate. This study explored the concerns and spatial distribution characteristics of netizens towards arthroscopy by using the Baidu index, with the hope of providing targeted guidance and strategies for nursing care in arthroscopy.
