R. Putri N. Fadilah
Faculty of Dentistry, Universitas Jenderal Achmad Yani, Bandung

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Building team agreement on large population surveys through inter-rater reliability among oral health survey examiners Sri Susilawati; Grace Monica; R. Putri N. Fadilah; Taufan Bramantoro; Darmawan Setijanto; Gilang Rasuna Sabdho Wening; Retno Palupi
Dental Journal (Majalah Kedokteran Gigi) Vol. 51 No. 1 (2018): March 2018
Publisher : Faculty of Dental Medicine, Universitas Airlangga https://fkg.unair.ac.id/en

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (144.704 KB) | DOI: 10.20473/j.djmkg.v51.i1.p42-46

Abstract

Background: Oral health surveys conducted on a very large population involve many examiners who must be consistent in scoring different levels of an oral disease. Prior to the oral health survey implementation, a measurement of inter-rater reliability (IRR) is needed to know the level of agreement among examiners or raters. Purpose: This study aimed to assess the IRR using consensus and consistency estimates in large population oral health surveys. Methods: A total of 58 dentists participated as raters. The benchmarker showed the clinical sample for dental caries and community periodontal index (CPI) score, with the raters being trained to carry out a calibration exercise in dental phantom. The consensus estimate was measured by means of a percent agreement and Cohen’s Kappa statistic. The consistency estimate of IRR was measured by Cronbach’s alpha coefficient and intraclass correlation. Results: The percent agreement is 65.50% for photographic slides of dental caries, 73.13% for photographic slides of CPI and 78.78% for calibration of dental caries using phantom. There were statistically significant differences between dental caries calibration using photographic slides and phantom (p<0.000), while the consistency of IRR between multiple raters is strong (Cronbrach’s Alpha: >0.9). Conclusion: A percent agreement across multiple raters is acceptable for the diagnosis of dental caries. Consistency between multiple raters is reliable when diagnosing dental caries and CPI.