Jia-Li Deng, Kai Yang, Shuai Zhang, Bin Wang, Li Zhang, Xia Zhao
{"title":"基于百度指数讨论公众对关节镜检查的兴趣及其对护理的影响。","authors":"Jia-Li Deng, Kai Yang, Shuai Zhang, Bin Wang, Li Zhang, Xia Zhao","doi":"10.5312/wjo.v16.i2.101895","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Despite the widespread application of big data in topic analysis, the public's attention and nursing requirements for arthroscopy remain inadequate.</p><p><strong>Aim: </strong>To understand netizens' concerns and spatial distributions regarding arthroscopy and to provide customized nursing strategies.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":47843,"journal":{"name":"World Journal of Orthopedics","volume":"16 2","pages":"101895"},"PeriodicalIF":2.0000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11866108/pdf/","citationCount":"0","resultStr":"{\"title\":\"Discussion of the public interest in arthroscopy based on the Baidu index and its implications for nursing care.\",\"authors\":\"Jia-Li Deng, Kai Yang, Shuai Zhang, Bin Wang, Li Zhang, Xia Zhao\",\"doi\":\"10.5312/wjo.v16.i2.101895\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Despite the widespread application of big data in topic analysis, the public's attention and nursing requirements for arthroscopy remain inadequate.</p><p><strong>Aim: </strong>To understand netizens' concerns and spatial distributions regarding arthroscopy and to provide customized nursing strategies.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":47843,\"journal\":{\"name\":\"World Journal of Orthopedics\",\"volume\":\"16 2\",\"pages\":\"101895\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-02-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11866108/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"World Journal of Orthopedics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5312/wjo.v16.i2.101895\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ORTHOPEDICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Journal of Orthopedics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5312/wjo.v16.i2.101895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
Discussion of the public interest in arthroscopy based on the Baidu index and its implications for nursing care.
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.