Modified CAMBRA questionnaire as a method for population-based caries risk screening without exploratory methods: a cross-sectional observational pilot study
e202312112
Keywords:
Dental caries, Dental caries susceptibility, CAMBRA, Caries risk assessmentAbstract
BACKGROUND // Caries Management by Risk Assessment (CAMBRA) is a questionnaire used to diagnose the patient’s overall caries risk. This study aimed to present a self-assessment questionnaire based on CAMBRA which, unlike the original, is completed by parents/caregivers, without the need for a dental examination, allowing a presumptive diagnosis to be established in children under seven years of age excluded from the oral health programme of the National Health System to establish individualised recommendations for caries risk and their early inclusion in preventive programmes of the Madrid Health Service (Madrid, Spain).
METHODS // A cross-sectional observational study was carried out following STROBE guidelines using for the first time a self-assessment questionnaire based on CAMBRA in a population of children aged from three to six years from a nursery school in Madrid (Spain). The results were analysed using descriptive statistics and Fisher’s exact statistic was used to study the relationship between qualitative variables.
RESULTS // The questionnaire was answered by the parents of 120 children (response rate=53.1%), of whom 40.8% presented a low a priori caries risk, 42.5% a moderate risk and 16.7% a high caries risk.
CONCLUSIONS // The present study allow the identification of patients at risk of presenting and/or developing caries. However, future studies should evaluate its sensitivity and specificity by comparing it with a confirmatory diagnosis after a dental examination. Nevertheless, the modified CAMBRA questionnaire could be a useful tool for population screening, facilitating the access of the population at risk of caries and risk of exclusion to preventive and community plans.
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Copyright (c) 2023 María-Victoria Mateos-Moreno, Ángel-Orión Salgado-Peralvo, Naresh Kewalramani, Álvaro García-Sánchez, María-Rosario Garcillán-Izquierdo, Bibiana Mateos-Moreno, Lorenzo Dorado-Jara, Mónica Berzal-Pérez, Carlos-Alberto Vivas-Mefle
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