External validation of a rapid, non-invasive tool for periodontitis screening in a medical care setting.

OBJECTIVES: Medical professionals should advise their patients to visit a dentist if necessary. Due to the lack of time and knowledge, screening for periodontitis is often not done. To alleviate this problem, a screening model for total (own teeth/gum health, gum treatment, loose teeth, mouthwash use, and age)/severe periodontitis (gum treatment, loose teeth, tooth appearance, mouthwash use, age, and sex) in a medical care setting was developed in the Academic Center of Dentistry Amsterdam (ACTA) [1]. The purpose of the present study was to externally validate this tool in an outpatient medical setting. MATERIALS AND METHODS: Patients were requited in an outpatient medical setting as the validation cohort. The self-reported oral health questionnaire was conducted, demographic data were collected, and periodontal examination was performed. Algorithm discrimination was expressed as the area under the receiver operating characteristic curve (AUROCC). Sensitivity, specificity, and positive and negative predictive values were calculated. Calibration plots were made. RESULTS: For predicting total periodontitis, the AUROCC was 0.59 with a sensitivity of 49% and specificity of 68%. The PPV was 57% and the NPV scored 55%. For predicting severe periodontitis, the AUROCC was 0.73 with a sensitivity of 71% and specificity of 63%. The PPV was 39% and the NPV 87%. CONCLUSIONS: The performance of the algorithm for severe periodontitis is found to be sufficient in the current medical study population. Further external validation of periodontitis algorithms in non-dental school populations is recommended. CLINICAL RELEVANCE: Because general physicians are obligated to screen patients for periodontitis, it is our general goal that they can use a prediction model in medical settings without an oral examination.

[Can dental students and dental care providers in the Netherlands effectively and safely prescribe drugs?] / Serie: Onderwijs en de tandarts anno 2025. Kunnen tandheelkunde­studenten en mondzorgverleners in Nederland effectief en veilig geneesmiddelen voorschrijven?

Dentists and dental specialists are qualified to prescribe drugs. In this study, we assessed and compared the pharmacotherapeutic knowledge and skills of final year dental students, dentists and dental specialists in the Netherlands. In 2017, a random sample of these three groups was invited to complete an assessment. The knowledge assessment comprised 40 multiple choice questions covering often prescribed drugs. The skills assessment comprised three patient cases for which participants had to write a treatment plan. For the knowledge assessment, the response rates were 26 (20%) dental students, 28 (8%) dentists and 19 (19%) dental specialists, and for the skills assessment the response rates were 14 (11%) dental students, eight (2%) dentists, and eight (8%) dental specialists. On average, all three groups had inadequate knowledge scores (smaller 80%) and only a small proportion (smaller 30%) of their treatment plans was assessed as correct. These results suggest that dental students, dentists and dental specialists lack prescribing competence, which could be caused by poor pharmacotherapy education during under- and postgraduate dental training.

Evaluation of the use of an "ask-the-expert" e-consultation service for support on health-related requests.

E-consultation in health care can be used to respond to an increasing demand for care by offering support on health-related requests. In this study we evaluated the use of an "ask-the-expert" e-consultation service in order to assess whether the service is efficient and useful. A content analysis of e-mail exchange between clients and online health professionals was performed to gain insight in the purposes of use of the service. Our findings show that the e-consultation service was used for health requests on not urgent, minor ailments. Clients asked for health information to increase knowledge on the cause of their injury or disease, its consequences, possible self-care solutions and treatment options. Decision support on assessing the necessity to visit a doctor for a certain health problem was another important reason to use the service. We believe that web-based triage systems could be used to more easily assess whether certain symptoms need to be investigated.