Quality indicators for the detection and management of chronic kidney disease in primary care
A/Prof Jo-Anne Manski-Nankervis
This project explores and compares outcomes for the detection of chronic kidney disease (CKD) and compare quality indicator data for the management of CKD in four large general practice datasets in Australia (Patron), Singapore (NUHS Data Mart), Canada (UTOPIAN) and Sweden. Chronic kidney disease (CKD) is a common but under-recognised disease. General practitioners (GPs) are ideally placed to identify patients at risk of, or in the early stages of, chronic kidney disease (CKD) and to implement prevention and early intervention efforts to reduce disease progression and subsequent hospitalisation. This project is aligned with Future Health Today, a program of work that is developing technological solutions for early detection, intervention and management of chronic illness.
Data Driven Quality Improvement Data for Decisions
For further information about this research, please contact the research group leader.
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