Marvin Marcus1, Di Xiong1,2, Yan Wang1,2, Carl A Maida1,3, Ron D Hays4,5,6, Ian D Coulter1,6, Vladimir W Spolsky1, Steve Y Lee7, Jie Shen1, James J Crall1, Honghu Liu1,2,4. 1. Division of Public Health and Community Dentistry, School of Dentistry, University of California Los Angeles, Los Angeles, California. 2. Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California. 3. Division of Oral Biology and Medicine, School of Dentistry, University of California Los Angeles, Los Angeles, California. 4. Division of General Internal Medicine and Health Services Research, Geffen School of Medicine, University of California Los Angeles, Los Angeles, California. 5. Department of Health Policy and Management, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California. 6. RAND Corporation, Santa Monica, California. 7. Section of Restorative Dentistry, School of Dentistry, University of California Los Angeles, Los Angeles, California.
Abstract
OBJECTIVES: To develop child- and parent-reported toolkits for active caries and caries experience in children and adolescents, ages 8-17. METHODS: A sample of 398 child/parent dyads recruited from 12 dental practices in Los Angeles County completed a computer-assisted survey that assessed oral health perceptions. In addition, children received a dental examination that identified the presence or absence of active caries and caries experience. A Multiple Adaptive Regression Splines model was used to identify a subset of survey items associated with active caries and caries experience. The splines and coefficients were refined by generalized cross-validation. Sensitivity and specificity for both dependent variables were evaluated. RESULTS: Eleven child self-reported items were identified that had sensitivity of 0.82 and specificity of 0.45 relative to active caries. Twelve parent-reported items had a sensitivity of 0.86 and specificity of 0.50. Seven child self-reported items had a sensitivity of 0.86 and specificity of 0.34, and 11 parent-reported items had a sensitivity of 0.86 and specificity of 0.47 for caries experience. CONCLUSIONS: The survey items identified here are useful in distinguishing children with and without active caries and with and without caries experience. This research presents a path towards using children's and their parents' reports about oral health to screen for clinically determined caries and caries exposure. The items identified in this study can be useful when clinical information is unavailable.
OBJECTIVES: To develop child- and parent-reported toolkits for active caries and caries experience in children and adolescents, ages 8-17. METHODS: A sample of 398 child/parent dyads recruited from 12 dental practices in Los Angeles County completed a computer-assisted survey that assessed oral health perceptions. In addition, children received a dental examination that identified the presence or absence of active caries and caries experience. A Multiple Adaptive Regression Splines model was used to identify a subset of survey items associated with active caries and caries experience. The splines and coefficients were refined by generalized cross-validation. Sensitivity and specificity for both dependent variables were evaluated. RESULTS: Eleven child self-reported items were identified that had sensitivity of 0.82 and specificity of 0.45 relative to active caries. Twelve parent-reported items had a sensitivity of 0.86 and specificity of 0.50. Seven child self-reported items had a sensitivity of 0.86 and specificity of 0.34, and 11 parent-reported items had a sensitivity of 0.86 and specificity of 0.47 for caries experience. CONCLUSIONS: The survey items identified here are useful in distinguishing children with and without active caries and with and without caries experience. This research presents a path towards using children's and their parents' reports about oral health to screen for clinically determined caries and caries exposure. The items identified in this study can be useful when clinical information is unavailable.
Authors: M Marcus; C A Maida; Y Wang; D Xiong; R D Hays; I D Coulter; S Y Lee; V W Spolsky; J Shen; J J Crall; H Liu Journal: JDR Clin Trans Res Date: 2018-05-18
Authors: Carl A Maida; Marvin Marcus; Ron D Hays; Ian D Coulter; Francisco Ramos-Gomez; Steve Y Lee; Patricia S McClory; Laura V Van; Yan Wang; Jie Shen; Li Cai; Vladimir W Spolsky; James J Crall; Honghu Liu Journal: Qual Life Res Date: 2015-06-03 Impact factor: 4.147
Authors: Yan Wang; Ron Hays; Marvin Marcus; Carl Maida; Jie Shen; Di Xiong; Steve Lee; Vladimir Spolsky; Ian Coulter; James Crall; Honghu Liu Journal: Int J Paediatr Dent Date: 2019-01-24 Impact factor: 3.455
Authors: Honghu Liu; Ron D Hays; Marvin Marcus; Ian Coulter; Carl Maida; Francisco Ramos-Gomez; Jie Shen; Yan Wang; Vladimir Spolsky; Steve Lee; Li Cai; James Crall Journal: BMC Oral Health Date: 2016-09-15 Impact factor: 2.757
Authors: Francisco Ramos-Gomez; Marvin Marcus; Carl A Maida; Yan Wang; Janni J Kinsler; Di Xiong; Steve Y Lee; Ron D Hays; Jie Shen; James J Crall; Honghu Liu Journal: Dent J (Basel) Date: 2021-12-01