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Modernisation of ANZDATA

Modernisation of ANZDATA. - transforming data collection and reporting. RSA Annual Conference June 20, 2016. Transforming ANZDATA. OVERVIEW.

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Modernisation of ANZDATA

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  1. Modernisation of ANZDATA - transforming data collection and reporting RSA Annual ConferenceJune 20, 2016

  2. Transforming ANZDATA

  3. OVERVIEW provide national data collection, analysis and reporting in the area of renal replacement therapy (dialysis and transplantation) and organ and tissue donation undergone reform in recent times and developed ways to improve data collection and the provision of more meaningful reports

  4. We have moved ! EMAIL: anzdata@anzdata.org.au requests@anzdata.org.au PHYSICAL LOCATION SAHMRI Building Level 4 SouthNorth Terrace Adelaide SA 5001 POSTAL ADDRESS PO Box 11060Adelaide SA 5001 Contact t: + 61 8 8128 4758 f: + 61 8 8128 4769

  5. PURPOSE add value to users, contributors, sponsors and Federal and State Departments of Australia and the New Zealand Ministry of Health

  6. What are we trying to achieve? • Inform patients? • Reassure administrators? • Improve performance • Of “poor” performers? • Overall? • Show that something is happening so life can go on as always?

  7. Why measure outcomes? • From an individual perspective • To protect individual patients • Adverse outcomes hurt people • From an individual transplant perspective, why would you go to a centre with a 90% success rate when 95% is available…

  8. Why measure outcomes? • From a community perspective • Substantial community resources are invested in what we do • These resources are intrinsically limited ($, organs) • These resources are then not available for other uses (or others to use)

  9. What is performance? • What do we mean by “performance” • Financial ($) • Process (LOS, RSI, indicators) • Outcomes (quantity and quality of life) • Basic theory: • identify outcome for a “centre” (and associated factors), • account for factors beyond their control (e.g. patient casemix) • But not factors used by a centre to achieve that outcome • And then: • Identify poor performers? • Meet targets? • Identify characteristics associated with better performing units?

  10. OBJECTIVES to expand on existing statistical and epidemiological analysis develop opportunities in reporting of renal disease, renal replacement therapy outcomes, organ and tissue donation and transplantation

  11. What is relevant to you? • Quality and Safety reports • Some process measures • Peritonitis • CVC rates • Hb, phosphate • DGF, Rejection rates • Outcomes • Overall -- mortality • Technique specific (graft / technique survival)

  12. Individual Hospital Reports Dialysis Transplant Caring Hospital Transplanting Hospital

  13. Dialysis characteristics - incident patients

  14. Co-morbidities

  15. Vascular Access reported 3 ways • Prevalent at end 2014 • Incident patients over 2014 • Non-late referred

  16. Haemodialysis Outcomes

  17. Peritoneal Dialysis & Outcomes

  18. Peritonitis

  19. Overall dialysis survival

  20. Sources of variability

  21. Dealing with confounding • 3 ways of dealing with (measured) confounders • Restriction • Stratification • Adjustment • Unmeasured confounders more difficult • One approach is to use a “random effect” to explicitly model unobserved heterogeneity between centres

  22. Adjusted survival Patient survival , 2009-14

  23. Transplantation

  24. Overall graft survival Graft survival , 2009-14

  25. Overall patient survival Patient survival , 2009-14

  26. Other Reports available from Secure Report Depot • Abridged version of hospital report available for public at ANZDATA website • Realtime Incidence • KPI reports produced 3-monthly on • Peritonitis • HD access

  27. Data Collection Develop opportunities for electronic efficiencies in data collection, accuracy and analysis

  28. NEW LOOK – NEW SYSTEM

  29. There’s more Interactive web services with hospital EMR Electronic record transfers in the format of XML and CSV file uploads

  30. Aim of the Registry provision of best practice models to which clinical quality outcome data can contribute to patient, unit, jurisdictional and national programs

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