Slide 1

ANZDATA Session, ANZSN 2015 Matthew JoseStock, flow and direction Kevan Polkinghorne Dialysis modality and survival Namrata Khanal Indigenous transplantation Wai Lim Accuracy and utility of ANZDATA registry in kidney transplantation Stephen McDonald Mythbusters Slide 2 Stock and Flow Slide 3 Dialysis 13,945 Dialysis 13,945 Transplant 10,785 Transplant 10,785 RRT AUS & NZ - Dec 2012 RRT Dec 2012 24,730 RRT Dec 2012 24,730 Slide 4 Dialysis 13,945 Dialysis 13,945 Transplant 10,785 Transplant 10,785 RRT AUS & NZ 2012 to 2013 3,094 new starts 105 pre-emptive Tx 3.2% 2,989 new dialysis 96.8% Slide 5 Dialysis 13,945 + 3,236 897 Dialysis 13,945 + 3,236 897 Transplant 10,785 + 997 247 Transplant 10,785 + 997 247 3,094 new starts 105 pre-emptive Tx 2,989 new dialysis RRT AUS & NZ 2012 to 2013 247 Graft fail 892 Tx from dialysis Slide 6 256 deceased Tx recipients 1,860 death on dialysis Dialysis 13,945 + 3,236 897 1,860 Dialysis 13,945 + 3,236 897 1,860 Transplant 10,785 + 997 256 247 Transplant 10,785 + 997 256 247 3,094 new starts 2,116 deaths 105 pre-emptive Tx 2,989 new dialysis 892 Tx from dialysis RRT AUS & NZ 2012 to 2013 247 Graft fail Slide 7 Dialysis 14,424 Dialysis 14,424 Transplant 11,279 Transplant 11,279 3,094 new starts 2,166 Deaths RRT 2013 25,626 + 3.6% RRT 2013 25,626 + 3.6% RRT AUS & NZ 2013 105 pre-emptive Tx 2,989 new dialysis 892 Tx from dialysis 247 Graft fail 256 deceased Tx recipients 1,860 deceased dialysis pts Slide 8 ANZDATA Registry Annual Report 2014 Slide 9 Slide 10 Slide 11 Slide 12 Slide 13 Slide 14 Slide 15 Slide 16 ANZDATA reports Slide 17 Data requests Slide 18 Performance Indicators HD & PD Slide 19 Publically available: Identified hospital report - Dialysis Slide 20 Publically available: Identified hospital report- Transplant Slide 21 Consumer summary Slide 22 Aims: Annual Report Earlier, betterPhil Clayton Real-time data Efficiency, accuracy Kylie Hurst KPI, stock and flowStephen McDonald Identified data Key dialysis and transplant outcomes website Methods: FundingAOTA, NZ Department of Health, KHA, ANZSN, Amgen Hardware New interfaces, new database 80% there New People Data team: Kylie Hurst, IT Maneesha Kandamby Slide 23 Data collection QOL, PROMs, PREMs Social determinants Unit-level characteristics ResearchRegistry-based clinical trials Slide 24 Data returns from units 2015 Slide 25 Slide 26 Realtime activity notification Notification of key events in real time is improving, but still Units patients, doctors, nurses, allied Data and time Interest and attendance Enquiries - >2000 per annum Feedback Funders: Australian & NZ Governments, KHA, ANZSN, Amgen, pharma ANZSN ANZDATA stand, ANZDATA Session Workers within ANZDATA Executive, Office, Steering Committee and Working Groups