2019 Journal of dental education

Effectiveness of Using a Mobile App to Improve Dental Students' Ability to Identify Endodontic Complications from Periapical Radiographs.

, , , ,

Journal of dental education Vol. 83 (9) : 1092-1099 • Sep 2019

The aim of this study was to evaluate the feasibility and effectiveness of a mobile application as a supplementary tool in the radiographic diagnosis of endodontic complications by dental students. Radiographic images of the following endodontic conditions were selected: 1) absence of endodontic treatment (ET) without periapical lesion (PL); 2) absence of ET with PL; 3) satisfactory ET without PL; 4) satisfactory ET with PL; 5) unsatisfactory ET without PL; 6) unsatisfactory ET with PL; 7) fractured instrument; 8) deviated cast post; 9) root fracture; and 10) root resorption. In 2018, images were evaluated by 20 students at a dental school in Brazil who had been divided into experimental and control groups. The experimental group was permitted to use the Kahoot! mobile application (app) to access reference images of endodontic conditions. Reference standards were established through consensus by two endodontists and three oral radiologists. The results showed that intraobserver agreement ranged from moderate to substantial for both groups. Significant differences from the specialists' reference standards were found in the evaluation of conditions 4 and 10 for the experimental group, which used the app (p<0.001), and conditions 1, 4, 6, 7, 8, and 10 for the control group, which did not use the app (p<0.05). No statistically significant differences were found in accuracy, sensitivity, or specificity values between the groups for any of the endodontic conditions evaluated (p>0.05). This study found that the use of a mobile app containing reference images improved the students' ability to diagnose endodontic complications, suggesting it would be a valuable supplementary tool in dental education.

No clinical trial protocols linked to this paper

Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.
PICO Elements

No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.

Paper Details
MeSH Terms
+1 more
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.