دورية أكاديمية
أعرض في EDS

Development and professional validation of an App to support Oral Cancer Screening.

التفاصيل البيبلوغرافية
العنوان: Development and professional validation of an App to support Oral Cancer Screening.
المؤلفون: Rêgo TJRD; Centro Universitário Christus, Departamento de Odontologia, Fortaleza, Ceará, Brazil.; Universidade Federal do Ceará. Fortaleza, Ceará, Brazil., Lemos JVM; Centro Universitário Christus, Departamento de Odontologia, Fortaleza, Ceará, Brazil.; Universidade Federal do Ceará. Fortaleza, Ceará, Brazil., Matos APL; Centro Universitário Christus, Departamento de Odontologia, Fortaleza, Ceará, Brazil.; Universidade Federal do Ceará. Fortaleza, Ceará, Brazil., Caetano CFF; Centro Universitário Christus, Departamento de Odontologia, Fortaleza, Ceará, Brazil., Dantas TS; Centro Universitário Christus, Departamento de Odontologia, Fortaleza, Ceará, Brazil., Sousa FB; Centro Universitário Christus, Departamento de Odontologia, Fortaleza, Ceará, Brazil., Barros Filho EM; Centro Universitário Christus, Departamento de Odontologia, Fortaleza, Ceará, Brazil., Silva PGB; Centro Universitário Christus, Departamento de Odontologia, Fortaleza, Ceará, Brazil.
المصدر: Brazilian dental journal [Braz Dent J] 2022 Nov-Dec; Vol. 33 (6), pp. 44-55.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Dental Foundation of Ribeirão Preto Country of Publication: Brazil NLM ID: 9214652 Publication Model: Print Cited Medium: Internet ISSN: 1806-4760 (Electronic) Linking ISSN: 01036440 NLM ISO Abbreviation: Braz Dent J
أسماء مطبوعة: Original Publication: Ribeirão Preto : Dental Foundation of Ribeirão Preto, [1990-
مواضيع طبية MeSH: Early Detection of Cancer* , Mouth Neoplasms*/diagnosis, Humans
مستخلص: The objective of this study was to develop and validate an App for identifying risk factors for oral cancer. To this end, we developed an App (OCS: Oral Cancer Screening) with predictors of Oral Cancer (OC) and algorithm assembly to estimate the risk of its development.
Methodology: Simulated clinical cases were designed so that 40 professionals with expertise in oral diagnostics could validate the algorithm and test its usability (SUS: System Usability Score) and acceptability (TAM: Technology Acceptance Model). Cronbach's alpha coefficient, Friedman/Dunn tests, and Spearman correlation evaluated the SUS and TAM scales. ROC curve was plotted to estimate the cutoff point of the algorithm in suggesting a high risk for OCS of the simulated cases. Chi-square and Fisher's exact tests were additionally used (p<0.05, SPSS v20.0).
Results: Professionals with expertise in oral diagnosis had usability of 84.63±10.66 and acceptability of 84.75±10.62, which correlated positively (p<0.001, r=0.647). Acting in clinical areas of dentistry (p=0.034) and history of performing OC risk factor orientation (p=0.048) increased acceptability while acting in higher education increased usability (p=0.011). The cutoff point suggested by the App after validation of the simulated clinical cases showed high sensitivity of 84.8% and lower specificity of 58.4%.
Conclusion: The OCS was effective and with adequate sensitivity, usability, and acceptability and may contribute to the detection of early oral lesions.
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تواريخ الأحداث: Date Created: 20221208 Date Completed: 20221215 Latest Revision: 20221215
رمز التحديث: 20221215
مُعرف محوري في PubMed: PMC9733366
DOI: 10.1590/0103-6440202204895
PMID: 36477964
قاعدة البيانات: MEDLINE
الوصف
تدمد:1806-4760
DOI:10.1590/0103-6440202204895