2023 Bundesgesundheitsblatt, Gesun…

[Assessment of carious dental lesions and treatment options: comparison of the knowledge of dental students and orthodontic assistants].

,

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Vol. 66 (12) : 1389-1396 • Dec 2023

In order to optimize dental education, established procedures for caries diagnosis and therapy, such as the International Caries Classification and Management System (ICCMS), should be integrated into the curriculum. In preparation, the level of knowledge of dental students on caries detection and management was surveyed in order to specifically address deficits in dental teaching. In addition, the data were compared with the knowledge of clinically experienced dentists. The results are presented in this report and possible consequences for dental teaching are discussed.Twenty-six sixth semester dental students and six assistant dentists at the Department of Orthodontics (Philipps University of Marburg, Germany) were available for the written survey during the winter semester 2018/2019. For 12 anonymized orthodontic patient cases, the clinical findings, caries risk, and adequate treatment were to be determined for each defined tooth. The consensus decision of two experienced dentists served as the reference value. As a result, agreement with the reference ranged from 40.7% to 51.3% for students and from 56.9% to 75.0% for assistant dentists. The extent of caries and the resulting necessary treatment were mostly underestimated.In addition to theoretical knowledge, clinical experience is another prerequisite for adequate caries diagnosis and its management. The underestimation of caries extent and necessary treatment should be taken into account when teaching content. Procedures such as the ICCMS should be integrated into the dental curriculum at an early stage, so that orthodontic patients can also receive effective care.

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
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.