Content and methodology of predoctoral Geriatric Dentistry teaching in Europe

Objectives: To explore the content and methodology of predoctoral Geriatric Dentistry teaching amongst European dental schools.
Methods: The study was conducted by the European College of Gerodontology (ECG) Education Committee. Αn electronic questionnaire has been developed with close and open-ended items, including information on the prevalence and institutional anchorage of Gerodontology programs, the educators, the content and the methodology of teaching. An electronic mail, including a hyperlink to the questionnaire, was sent to 216 dental schools in 39 European countries (Winter/ Spring 2016). The Deans were asked to either answer themselves, or forward the link to faculty members with knowledge on Gerodontology teaching at their respective schools. Repeated reminders or telephone calls were used for non-respondents and personal networks were exploited to identify potential contact persons.
Results: Until August 2016, 121 dental schools from 29 countries responded to the survey (response rate 56%, EU response rate: 60%). Gerodontology was included in the predoctoral curricula of 86% of the respondents and was compulsory in 68%. The course was mainly offered in senior students and was interdisciplinary in 30% of the schools, delivered mainly by dentists (79%), physicians (21%), psychologists (10%), and nurses (5%). It was conducted as an independent lecture series in 40% of the schools and a course director was assigned in 44% of the respondents. When embedded in other disciplines, these were mainly Prosthodontics (31%). The content included a large number of items, such as epidemiology of oral health, medical problems in old age, prosthodontic management, xerostomia, and caries risk assessment. Lectures were the most common teaching format (69%), followed by small group seminars (27%). The most common types of educational material used were scientific articles (48%), printed textbooks (44%), lecture notes (40%) and e-learning material (21%). Clinical training was offered by 64% of the respondents, within the dental school clinics (49%) and/or in outreach locations (40%).
Conclusion: Amongst the respondent European dental schools (66%) there is an increasing number that teach Gerodontology at a pre-doctoral level with significant variations in content and methodology. Official guidelines and the dissemination of the ECG pre-doctoral curriculum guidelines might help to increase the prevalence and improve the status of Gerodontology teaching in Europe.

Minimal intervention dentistry and older patients Part 1: Risk assessment and caries prevention

Ten million people in the UK today are aged over 65. The latest projections estimate that there will be 5 1/2 million more people aged 65 and older in the next 20 years. This projected pattern of population ageing will have profound consequences for dentistry. Minimal intervention dentistry (MID) is a modern evidence-based approach to caries management in dentate patients that uses the 'medical model' whereby disease is controlled by the 'oral physician'. This approach offers considerable benefits over conventional dentistry for older patients. It encourages patients to be responsible for their oral health through the provision of both knowledge and motivation. MID encompasses risk assessment for dental disease, early detection and control of disease processes, and minimally invasive treatment. 

Clinical Relevance: Risk assessment tools can aid the general dental practitioner and the patient to develop a suitable caries prevention programme for that individual and reduce the need for future operative intervention.

Modelling Patient Duration of Stay to Facilitate Resource Management of Geriatric Hospitals

A fundamental aspect of health care management is the effective allocation of resources. This is of particular importance in geriatric hospitals where elderly patients tend to have more complex needs. Hospital managers would benefit immensely if they had advance knowledge of patient duration of stay in hospital. Managers could assess the costs of patient care and make allowances for these in their budget. In this paper, we tackle this important problem via a model which predicts the duration of stay distribution of patients in hospital. The approach uses phase-type distributions conditioned on a Bayesian belief network.