Analysis of the utilization rate of claimed dental implants and related factors.

Park, Hyang-Ah; Pae, Ah-ran; Kwon, Yong-Dae; Hong, Seoung-Jin; Lee, Kun-Chul; Ryu, Jae-In

doi:2024.62.10.619

J Korean Dent Assoc > Volume 62(10); 2024 > Article

Original Article

The Journal of The Korean Dental Association 2024;62(10):619-631.
DOI: https://doi.org/10.22974/jkda.2024.62.10.003 Published online October 31, 2024.

치과 임플란트 급여 이용률 추이 및 관련 요인 분석

박향아¹

^¹경희대학교 치과대학 예방사회치과학교실
^²경희대학교 치과대학 치과보철학교실
^³경희대학교 치과대학 구강악안면외과교실
^⁴KC보험통계경영컨설팅

Analysis of the utilization rate of claimed dental implants and related factors.

Hyang-Ah Park¹

¹Department of Preventive and Social Dentistry, College of Dentistry, Kyung Hee University
²Department of Prosthodontics, College of Dentistry, Kyung Hee University
³Department of Oral and Maxillofacial Surgery, College of Dentistry, Kyung Hee University
⁴KC Insurance Statistics Business Consulting

Correspondence: Jae-In Ryu
Email: jaeinryu@khu.ac.kr

Received: 1 August 2024 • Revised: 7 August 2024 • Accepted: 26 September 2024

Abstract

Purpose
This study aims to identify the utilization of claimed dental implants and the related factors in South Korea using the Anderson behavioral model.
Materials and Methods
This study used the Health Checkup Cohort DB, claimed data from the National Health Insurance Service (NHIS), to identify changes in the utilization of dental implants and related factors. The study population was selected as 75 years old because they were covered by NHIS since the first year, 2014. Finally, the sample subjects in the analysis were 63,880. The data was analyzed using IBM SPSS Statistics for Windows, version 26.0 (Statistical Package for the Social Sciences 26.0. SPSS Inc. Chicago, IL, USA).
Results
The dental implant utilization rate of the study population increased continuously, from 3.4% in Phase 1 to 6.3% and 7.0% in Phase 2 and 3, respectively. The significant differences by region, insurance type, and disability were shown in Phases 1 and 2 (p<0.05), but it was insignificant in Phase 3 (p>0.05). In the fully adjusted logistic regression model, the probability of using dental implants was 1.9 times higher in the higher Phase than the others. The people who had annual oral examinations showed a two times higher possibility of having dental implant surgery.
Conclusions
It is necessary to review the recent claiming trends and related factors before the decision-making for coverage, especially dental coverage with huge effects, such as dental implants.

Key Words: Dental health service, Dental implants, Elderly, Health Services Accessibility, Insurance coverage