Usefulness and satisfaction of a digital learning tool for caries detection using ICDAS
DOI:
https://doi.org/10.4322/bds.2023.e3819Abstract
Objective: this study aimed evaluate the usefulness and satisfaction of a digital learning tool (DLT) using ICDAS (International caries detection and assessment system) created for learning and training visual detection of carious lesions in a non-controlled setting. Material and Methods: the DLT containing 60 pictures of sound and carious surfaces was distributed through social media and professional associations, aiming at both dentists and dental students. Analysis was based on data collected through a personal, professional and satisfaction questionnaire and Google Analytics. Results: a total of 2300 users accessed the DLT and 1517 completed it, filling out the questionnaires. Users required 2.29 sessions to accomplish the DLT in an average time of 15 min and 14 seconds each. The satisfaction questionnaire showed that 84.8% of users found in the DLT exactly what they expected and 91.8% found it useful. Around 88.4% of users found that the DLT helped in discussion of ICDAS with colleagues and 88.9% with superiors; 88.3% found that the DLT provided immediate learning results. The DLT was most useful to dental students (83.7% of users), and overall satisfaction was 86%. Conclusion: users found the DLT useful for learning and training visual detection of carious lesions using ICDAS, and general satisfaction was high.
KEYWORDS
Dental Caries; Distance; Diagnosis; Education; ICDAS.
Published
Issue
Section
License
COPYRIGHT TRANSFER AND RESPONSIBILITY STATEMENT
(PDF)
For all articles published in the BDS journal, copyright is retained by the authors. Articles are licensed under an open-access Creative Commons CC BY 4.0 license, meaning that anyone may download and read the paper for free. In addition, the article may be reused and quoted, provided that the original published version is cited. These conditions allow for maximum use and exposure of the work while ensuring that the authors receive proper credit. All metadata associated with published articles is released under the Creative Commons CC0 Universal Public Domain Dedication.
Before the submission, authors must obtain permission to reproduce any published material (figures, schemes, tables, or any extract of a text) that does not fall into the public domain or for which they do not hold the copyright. Permission should be requested by the authors from the copyright holder (usually the Publisher, please refer to the imprint of the individual publications to identify the copyright holder).
The authors hereby attest that the study is original and does not present manipulated data, fraud, or plagiarism. All names listed made a significant scientific contribution to the study, are aware of the presented data, and agree with the final version of the manuscript. They assume complete responsibility for the ethical aspects of the study.
This text must be printed and signed by all authors. The scanned version should be submitted as supplemental file during the submission process.
