File 41The following projects were processed in the September to December 2016 Quarter:

The impact of first and second eye cataract surgery on crash risk
Lynn Meuleners, C-MARC, Curtin University

Catarat is the leading cause of reversible vision impairment in developed countries, and by the age of 70 years, almost everyone will have developed some degree of cataract. The study will use linked population health dataCan refer to: (1) the demographic data used in the Data Linkage process; or (2) information pertaining to services provided to people or their clinical information (available only from Data Custodians, including via CARES). to examine and provide accurate information on the impact, benefits and assocaited costs of first and second eye cataract surgery on crash risk for an older population. 

Oral Health Services Planning
Associate Prof David Whyatt, University of Western Australia

This study proposes to model the accessibility of existing publicly funded dental clinics and the impact of dental service accessibility on attendance. Data to be used include the routinely collected service data from publicly funded dental clinics. Furthermore, the relationship betwee the cohort's attendance to dental clinics and admissions and emergency department presentations for dental health-related episodes will be examined. The results of the study will inform the planning of additional dental clinics to maximise equity of access to dental servies and maximise outcomes for the WA population and WA Health. 

A multinational comparison of admission and mortality to the hospital and the ICU amongst the very elderly
Dr Matthew Anstey, Sir Charles Gairdner Hospital

This study aims to look at the characteristics of patients older than 80 years of age who are admitted to hospital or the intensive care unit, and see whether there is a difference in their mortality at 1 and 2 years after admission. 

Mammographic density as a predictor of breast cancer risk and mortality in Western Australian Aboriginal women 
Associate Professor Jennifer Stone, University of Western Australia

Mammographic density is one of the strongest predicotrs of breast cancer risk. Little is known about the variation of mammographic density in Aboriginal and Torres Strait Islander women. Improving breast cnacer screening and outcomes for Wesnter Australian Abroiginal women is a priority for BreastScreen WA and we hav epurposely formulated research questions to fill significant gaps in knowledge regarding mammographic density as a predictor of breast cancer risk and mortality in Aboriginal Women.