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http://dx.doi.org/10.4047/jkap.2021.59.2.164

Analysis of interest in implant using a big data: A web-based study  

Kong, Hyun-Jun (Department of Prosthodontics, College of Dentistry, Wonkwang University)
Publication Information
The Journal of Korean Academy of Prosthodontics / v.59, no.2, 2021 , pp. 164-172 More about this Journal
Abstract
Purpose: The purpose of this study was to analyze the level of interest that common Internet users have in dental implant using a Google Trends, and to compare the level of interest with big data from National Health Insurance Service. Materials and methods: Google Trends provides a relative search volume for search keywords, which is the average data that visualizes the frequency of searches for those keywords over a specific period of time. Implant was selected as the search keyword to evaluate changes in time flows of general Internet users' interest from 2015 to 2019 with trend line and 6 month moving average. Relative search volume for implant was analyzed with the number of patients who received National Health Insurance coverage for implant. Interest in implant and conventional denture was compared and popular related search keywords were analyzed. Results: Relative search volume for implant has increased gradually and showed a significant positive correlation with the total number of patients (P<.01). Interest in implant was higher than denture for most of the time. Keywords related to implant cost were most frequently observed in all years and related search on implant procedure was increasing. Conclusion: Within the limitations of this study, the public interest in dental implant was gradually increasing and specific areas of interest were changing. Web-based Google Trends data was also compared with traditional data and significant correlation was confirmed.
Keywords
Big data; Dental implants; Dentures; Health information systems; Internet;
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