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Developing a model to assess community-level risk of oral diseases for planning public dental services in Australia

Overview of attention for article published in BMC Oral Health, March 2016
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Title
Developing a model to assess community-level risk of oral diseases for planning public dental services in Australia
Published in
BMC Oral Health, March 2016
DOI 10.1186/s12903-016-0200-5
Pubmed ID
Authors

Andrea M. de Silva, Panagiota Gkolia, Lauren Carpenter, Deborah Cole

Abstract

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. 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. 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. 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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 18%
Researcher 5 8%
Student > Postgraduate 5 8%
Student > Ph. D. Student 5 8%
Student > Bachelor 5 8%
Other 10 16%
Unknown 21 34%
Readers by discipline Count As %
Medicine and Dentistry 24 39%
Engineering 3 5%
Social Sciences 3 5%
Nursing and Health Professions 3 5%
Psychology 2 3%
Other 6 10%
Unknown 21 34%