Specialty Registrars’ Experience of Managing Head and Neck Cancer Patients

Objective The aim of this study was to collate and compare data on the training of Specialty Registrars in Restorative Dentistry (StRs) in the management of head and neck cancer (HANC) patients across different training units within the UK and Ireland. Methods Current trainees were invited to complete an online questionnaire by the Specialty Registrars in Restorative Dentistry Group (SRRDG). Participants were asked to rate their confidence and experience of assessing and planning treatment for HANC patients, attending theatre alone and manufacturing surgical obturators, and providing implants for appropriate cases. Respondents were also asked to appraise clinical and didactic teaching at their unit, and to rate their confidence of passing a future Intercollegiate Specialty Fellowship Examination (ISFE)-station assessing knowledge of head and neck cancer. Results Responses were obtained from 21 StRs (n=21) training within all five countries of the British Isles. Most respondents were based in England (76%), with one StR in each of Scotland, Wales, Northern Ireland and the Republic of Ireland. A third (33%) were in their 5th year of training. Almost half of the StRs indicated that they were confident of independently assessing (48%) new patients with HANC, with fewer numbers reporting confidence in treatment planning (38%). The majority (52%) of respondents indicated that they were not confident of attending theatre alone and manufacturing a surgical obturator. A third (33%) rated their experience of treating HANC patients with implants as ‘poor’ or ‘very poor’, including three StRs in their 5th year of training. Less than one third (<33%) rated didactic teaching in maxillofacial prosthodontics at their unit as ‘good’ or ‘excellent’, and only 7 StRs indicated that they were confident of passing an ISFE-station focused on HANC. Conclusion Experience and training regarding patients with head and neck cancer is inconsistent for StRs across the UK and Ireland with a number of trainees reporting a lack of clinical exposure.

A decision support system for managing irrigation in agriculture

In this paper, an automatic Smart Irrigation Decision Support System, SIDSS, is proposed to manage irrigation in agriculture. Our system estimates the weekly irrigations needs of a plantation, on the basis of both soil measurements and climatic variables gathered by several autonomous nodes deployed in field. This enables a closed loop control scheme to adapt the decision support system to local perturbations and estimation errors. Two machine learning techniques, PLSR and ANFIS, are proposed as reasoning engine of our SIDSS. Our approach is validated on three commercial plantations of citrus trees located in the South-East of Spain. Performance is tested against decisions taken by a human expert.

Using administrative data to understand mental health in Northern Ireland:Results from two exemplar projects

Mental health is unevenly distributed in the Northern Ireland population. Administrative data on psychotropic medication prescribing is increasingly being used in research into population mental health. This paper illustrates how these data indicate concentrations of poor mental health in Northern Ireland, e.g. within deprived neighbourhoods, at interfaces, among older persons admitted to care homes and among persons bereaved through sudden death or suicide. This briefing also aims to widen the debate about mental health from a disorder/service paradigm to a whole population approach.