Analysis of interest in implant using a big data: A web-based study
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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. Materialsand 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.
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. Materialsand 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.
참고문헌 (30)
- Steigenga JT, "Dental implant design and its relationship to long-term implant success", Implant Dent, 12, pp.306~317 (2003)
- Adell R, "A 15-year study of osseointegrated implants in the treatment of the edentulous jaw", Int J Oral Surg, 10, pp.387~416 (1981)
- van Steenberghe D, "Applicability of osseointegrated oral implants in the rehabilitation of partial edentulism : a prospective multicenter study on 558 fixtures", Int J Oral Maxillofac Implants, 5, pp.272~281 (1990)
- Buser D, "Tissue integration of one-stage ITI implants : 3-year results of a longitudinal study with Hollow-Cylinder and Hollow-Screw implants", Int J Oral Maxillofac Implants, 6, pp.405~412 (1991)
- Adell R, "Long-term follow-up study of osseointegrated implants in the treatment of totally edentulous jaws", Int J Oral Maxillofac Implants, 5, pp.347~359 (1990)
- 류재인, "노인의 치과임플란트 건강보험 급여 이용률 현황", 대한치과의사협회지, 57(9), pp.496~503 (2019), 대한치과의사협회[DOI]
- Pjetursson BE, "Patients’ satisfaction following implant therapy. A 10-year prospective cohort study", Clin Oral Implants Res, 16, pp.185~193 (2005)
- Schropp L, "Patient experience of, and satisfaction with, delayed-immediate vs. delayed single-tooth implant placement", Clin Oral Implants Res, 15, pp.498~503 (2004)
- Feine JS, "The impact of patient preference on the design and interpretation of clinical trials", Commun Dent Oral Epidemiol, 26, pp.70~74 (1998)
- Esfandiari S, "Implant overdentures for edentulous elders : study of patient preference", Gerodontology, 26, pp.3~10 (2009)
- 이주연, "구글 검색엔진을 활용한 키워드 검색결과 수 관리시스템 설계 및 구현", 한국정보통신학회논문지, 20(5), pp.880~886 (2016), 한국정보통신학회[DOI]
- 차윤식, "아킬레스 힘줄 손상과 계절적 변동: 구글 트렌드를 이용한 분석", 대한스포츠의학회지, 37(4), pp.155~161 (2019), 대한스포츠의학회[DOI]
- Nghiem le TP, "Analysis of the capacity of Google trends to measure interest in conservation topics and the role of online news", PLoS One, 11, pp.e0152802~ (2016)
- Cervellin G, "Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings", J Epidemiol Glob Health, 7, pp.185~189 (2017)
- Carneiro HA, "Google trends : a webbased tool for real-time surveillance of disease outbreaks", Clin Infect Dis, 49, pp.1557~1564 (2009)
- Dugas AF, "Google Flu Trends : correlation with emergency department influenza rates and crowding metrics", Clin Infect Dis, 54, pp.463~469 (2012)
- Choi HY, "Predicting the present with Google Trends", Econ Rec, 88, pp.2~9 (2012)
- Nuti SV, "The use of google trends in health care research : a systematic review", PLoS One, 9, pp.e109583~ (2014)
- 이경진, "Distribution of medical status and medications in elderly patients treated with dental implant surgery covered by national healthcare insurance in Korea", Journal of Dental Anesthesia and Pain Medicine, 17(2), pp.113~119 (2017), 대한치과마취과학회[DOI]
- Taylor R, "Interpretation of the correlation coefficient : A basic review", J Diagnostic Med Sonography, 6, pp.35~39 (1990)
- Motosko C, "Using Google to trend patient interest in botulinum toxin and hyaluronic acid fillers", J Drugs Dermatol, 17, pp.1245~1246 (2018)
- Jena AB, "Predicting new diagnoses of HIV infection using internet search engine data", Clin Infect Dis, 56, pp.1352~1353 (2013)
- Samaras L, "Syndromic surveillance models using Web data : the case of scarlet fever in the UK", Inform Health Soc Care, 37, pp.106~124 (2012)
- Att W, "Implant therapy to improve quality of life", Quintessence International, 34, pp.573~581 (2003)
- Mijiritsky E, "Use of dental implants to improve unfavorable removable partial denture design", Compend Contin Educ Dent, 26, pp.744~746 (2005)
- Leles CR, "Factors influencing edentulous patients’ preferences for prosthodontic treatment", J Oral Rehabil, 38, pp.333~339 (2011)
- Walton JN, "Choosing or refusing oral implants : a prospective study of edentulous volunteers for a clinical trial", Int J Prosthodont, 18, pp.483~488 (2005)
- Leles CR, "Discriminant analysis of patients’ reasons for choosing or refusing treatments for partial edentulism", J Oral Rehabil, 36, pp.909~915 (2009)
- Narby B, "Prosthodontics and the patient. Part 2: Need becoming demand, demand becoming utilization", Int J Prosthodont, 20, pp.183~189 (2007)
- Cook AR, "Internet search limitations and pandemic influenza, Singapore", Emerg Infect Dis, 16, pp.1647~1649 (2010)
