Discussion of the public interest in arthroscopy based on the Baidu index and its implications for nursing care.

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.