Could We Predict Caries Risk In Children before They Were Born? The Sensitivity and Specificity Test of Mother Belief Early Childhood Caries Risk Predictor Software

Taufan Bramantoro, NIDN. 0022068403 and UdijantoTedjosasongko and R. Darmawan Setijanto, NIDN. 0005106109 and Dian Agustin Wahjuningrum, 090810073 D and Achmad Zam Zam Aghasye (2017) Could We Predict Caries Risk In Children before They Were Born? The Sensitivity and Specificity Test of Mother Belief Early Childhood Caries Risk Predictor Software. In: Proceedings of International Medical Device and Technology Conference (iMEDiTEC 2017). Universiti Teknologi Malaysia, Johor Bahru, pp. 132-134. ISBN 978-967-0194-93-6

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Official URL: http://www.utm.my/imeditec2017/files/2017/10/P37_C...

Abstract

There were approximately 7 until 9 of 10 children suffering dental caries. Prevention of dental caries should be started since early childhood and needs comprehensive strategies. Mother’s belief on dental health determines mother’s behaviour on protecting and maintaining children’s dental health. Aim: The aim of this study is to analyze sensitivity and spesifity test of mother belief early childhood caries risk predictor software. Method: A cross-sectional study was conducted on Surabaya and involved 126 mothers paired with their children. The mother answered the question on early childhood caries risk predictor and the children were examined regarding their dental caries. Result: The sensitivity of predictor software to predict high risk of dental caries was 93% and the specifity to predict low risk of dental caries was 82%. Conclusion: Mother belief early childhood caries risk predictor software had high sensitivity and specifity to predict early childhood dental caries risk.

Item Type: Book Section
Subjects: R Medicine
R Medicine > RK Dentistry
Divisions: 02. Fakultas Kedokteran Gigi > Dental Public Health
Creators:
CreatorsNIM/NIDN
Taufan Bramantoro, NIDN. 0022068403UNSPECIFIED
UdijantoTedjosasongkoUNSPECIFIED
R. Darmawan Setijanto, NIDN. 0005106109UNSPECIFIED
Dian Agustin Wahjuningrum, 090810073 DUNSPECIFIED
Achmad Zam Zam AghasyeUNSPECIFIED
Depositing User: Rudy Febiyanto
Date Deposited: 18 Sep 2019 01:24
Last Modified: 18 Sep 2019 01:24
URI: http://repository.unair.ac.id/id/eprint/86773
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