Survey of oral health behaviours of patients receiving methadone therapy at a drug rehabilitation centre

Background: This survey aimed to record the dietary habits and oral health behaviours of patients undergoing methadone maintenance therapy at a Scottish drug rehabilitation centre.The objectives were to obtain descriptive data for each of the participants on items including dietary habits, oral hygiene practices and dental health. The study also aimed to explore explanatory relationships between dietary habits, oral hygiene practices and dental health (DMFT) in methadone users.
Methods: A cross – sectional descriptive study using survey methodology was conducted of consecutive adult patients undergoing methadone maintenance therapy at a non-residential drug rehabilitation centre in Dundee, Scotland. A self-completion retrospective questionnaire was distributed to 66 consecutive patients.
Results: A response rate of 74.2% was achieved. Participants reported low daily intakes of fresh fruit and vegetables with diets high in fatty foods. Respondents reported regular snacking between meals and consumption of large amounts of sugared carbonated drinks. Oral hygiene practices were poorly adhered to and a high level of dental disease was observed amongst participants. Poisson regression analysis revealed that the amount of alcohol consumed per day (p=0.02), the length of time taking methadone (p=0.002) the amount of sugar added to hot drinks (p<0.0001) and regular dental attendance (p=0.0001) were all independently associated with poor dental health.
Conclusions: Dietary habits and adherence to oral hygiene practices amongst this group of patients were very poor. This study suggests that these behaviours were contributing to the high levels of dental disease observed in this group.

An Architecture of a Multi-Agent System for SCADA - Dealing With Uncertainty, Plans and Actions

This paper presents a multi-agent system approach to address the difficulties encountered in traditional SCADA systems deployed in critical environments such as electrical power generation, transmission and distribution. The approach models uncertainty and combines multiple sources of uncertain information to deliver robust plan selection. We examine the approach in the context of a simplified power supply/demand scenario using a residential grid connected solar system and consider the challenges of modelling and reasoning with
uncertain sensor information in this environment. We discuss examples of plans and actions required for sensing, establish and discuss the effect of uncertainty on such systems and investigate different uncertainty theories and how they can fuse uncertain information from multiple sources for effective decision making in
such a complex system.