Melbourne Dental School - Research Publications

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    Natural history of dental caries in very young Australian children
    Gussy, M ; Ashbolt, R ; Carpenter, L ; Virgo-Milton, M ; Calache, H ; Dashper, S ; Leong, P ; de Silva, A ; de Livera, A ; Simpson, J ; Waters, E (WILEY, 2016-05)
    BACKGROUND: Whilst the global burden of caries is increasing, the trajectory of decay in young children and the point at which prevention should occur has not been well established. AIM: To identify the 'natural history' of dental caries in early childhood. DESIGN: A birth cohort study was established with 467 mother/child dyads followed at 1, 6, 12, 18, and 36 months of age. Parent-completed surveys captured demographic, social, and behavioural data, and oral examinations provided clinical and data. RESULTS: Eight per cent of children (95% confidence interval (CI): 5-12%) at 18 months and 23% (95% CI: 18-28%) at 36 months experienced decay. Interesting lesion behaviour was found between 18 and 36 months, with rapid development of new lesions on sound teeth (70% of teeth, 95% CI: 63-76%) and regression of many lesions from non-cavitated lesions to sound (23% of teeth, 95% CI: 17-30%). Significant associations were found between soft drink consumption and lesion progression. CONCLUSIONS: Findings suggest optimal time periods for screening and prevention of a disease which significantly impacts multiple health and well-being outcomes across the life course.
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    Developing a model to assess community-level risk of oral diseases for planning public dental services in Australia
    de Silva, AM ; Gkolia, P ; Carpenter, L ; Cole, D (BMC, 2016-03-31)
    BACKGROUND: Poor oral health is a chronic condition that can be extremely costly to manage. In Australia, publicly funded dental services are provided to community members deemed to be eligible-those who are socio-economically disadvantaged or determined to be at higher risk of dental disease. Historically public dental services have nominally been allocated based on the size of the eligible population in a geographic area. This approach has been largely inadequate for reducing disparities in dental disease, primarily because the approach is treatment-focused, and oral health is influenced by a variety of interacting factors. This paper describes the developmental process of a multi-dimensional community-level risk assessment model, to profile a community's risk of poor oral health. METHODS: A search of the evidence base was conducted to identify robust frameworks for conceptualisation of risk factors and associated performance indicators. Government and other agency websites were also searched to identify publicly available data assets with items relevant to oral diseases. Data quality and analysis considerations were assessed for the use of mixed data sources. RESULTS: Several frameworks and associated indicator sets (twelve national and eight state-wide data collections with relevant indicators) were identified. Determination of the system inputs for the Model were primarily informed by the World Health Organisation's (WHO) operational model for an Integrated Oral Health-Chronic Disease Prevention System, and Australia's National Oral Health Plan 2004-2013. Data quality and access informed the final selection of indicators. CONCLUSIONS: Despite limitations in the quality and regularity of data collections, there are numerous data sources available that provide the required data inputs for community-level risk assessment for oral health. Assessing risk in this way will enhance our ability to deliver appropriate public oral health care services and address the uneven distribution of oral disease across the social gradient.