Measurement of oral health related with quality of life using EQ-5D and OHIP-14
10.11149/jkaoh.2018.42.2.27
- Author:
Hosung SHIN
1
;
Eunsuk AHN
Author Information
1. Department of Social and Humanity in Dentistry, College of Dentistry, Wonkwang University, Iksan, Korea. esann82@naver.com
- Publication Type:Original Article
- Keywords:
EQ-5D;
OHIP-14;
Oral health related quality of life;
Self-rated health
- MeSH:
Dentists;
Gingivitis;
Humans;
Oral Health;
Quality of Life;
Temporomandibular Joint;
Tooth;
Visual Analog Scale;
Weights and Measures
- From:Journal of Korean Academy of Oral Health
2018;42(2):27-33
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVES: Given that oral health is one of the major factors affecting the quality of life, it is necessary to measure the oral-health-related-quality-of-life dimension in order to value health. The aim of this study was to compare the dimensions of oral-health-related quality-of-life measured by a generic health measure [EuroQol-5D (EQ-5D)] and an oral health specific measure [Oral Health Impact Profile 14 (OHIP-14)]. METHODS: A questionnaire including EQ-5D, OHIP-14, self-rated general/oral health, and visual analog scale (VAS) was developed, and both patients and dentists participated in measuring the patient's oral health-related quality of life based on oral diseases. Data was collected from the Dental University Hospital from 2016 to 2017. For descriptive analysis, t-test, chi-square, ANOVA, Tukey HSD post-test, and Pearson correlation analysis were performed. To confirm the factors associated with EQ-5D, multiple regression analysis was conducted. RESULTS: A total of 305 subjects were selected for the final analysis excluding the partially missing questionnaires. EQ-5D and OHIP-14 showed a statistically significant correlation and a sensitive distribution of the values depending on the oral diseases. The values of EQ-5D and OHIP-14 ranged from highest to lowest in the following order of oral diseases: endodontic, TMJ, gingivitis, and tooth sensitivity. A 10-point increase in OHIP-14 was associated with a 0.34-point increase in EQ-5D. CONCLUSIONS: The result of this study proved to be consequential since both OHIP-14 and EQ-5D were good measures for oral health-related quality of life, and the oral disease status could also be measured in terms of health valuation weights. This increased the possibility of comparison with general health, and provided the loss of socioeconomic costs of individuals, families, and societies due to oral diseases.
