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Quality registries in ICU Nicolette de Keizer PhD Dept Medical - PowerPoint PPT Presentation

Quality registries in ICU Nicolette de Keizer PhD Dept Medical Informatics Academic Medical Center Amsterdam, The Netherlands Knowledge No standard treatment Effective and Efficient? Very expensive Shortage of beds Evaluating


  1. Quality registries in ICU Nicolette de Keizer PhD Dept Medical Informatics Academic Medical Center Amsterdam, The Netherlands

  2. Knowledge

  3. • No standard treatment Effective and Efficient? • Very expensive • Shortage of beds

  4. Evaluating Quality of Care • Randomized Controlled Trials – Not ethical • Benchmarking – Compare to national average or best ICU – Monitor performance in time – Quality registry

  5. Quality registry • Continuous data collection • Predefined data set • Multiple centers • Feedback and benchmark

  6. Examples of quality registries e.g. TRACER Project Impact

  7. State of the art registries • Many national quality registries • Some international initiatives – Project-based • Overlap in data collection • Differences in data items and data definitions • All have the same goal

  8. Goal of ICU quality registries • To get insight into quality of intensive care – Quality indicators • To foster improvements in the organization and practice of intensive care – Benchmarking – Case mix correction – Statistical Process Control – Collaborative network

  9. Goal of ICU quality registries • To get insight into quality of intensive care – Quality indicators • To foster improvements in the organization and practice of intensive care – Benchmarking – Case mix correction – Statistical Process Control – Collaborative network

  10. Quality management Outcome Structure Process

  11. Quality Indicator “ An measurable variable (or characteristic) that is used to determine the level of quality achieved“

  12. Selection of Quality Indicators (1) • Association with outcome or a process/ structure indicator that is related to outcome • Relevant for clinical practice – frequency • Results in quality improvement activities • Easily measurable • Fast available • Applicable in several institutions

  13. Example DMV • Mean duration of mechanical ventilation (DMV) of patients admitted at the ICU • Interpretation: • Mechanical ventilation? • Calculation: 1. Mean difference in fractional days between start and end time of (non-) invasive mechanical ventilation during an ICU admission 2. Same as 1, but also including non-ventilated patients (DMV=0) 3. Same as 1, but using calendar days instead of fractional days

  14. Example indicator mean duration of mechanical ventilation fractional days* incl. DMV=0* p-value ** calendar days* DMV (days) 1.95 [0.59] 0.08 [0.13] 3.86 [0.70] <0.001

  15. State of the art indicators • Many quality indicators • Ambigously defined • Indicators should be easily measurable, fast available, applicable in several institutions • -> Requires formalisation and automatic derivation of indicators based on routinely collected data

  16. Goal of ICU quality registries • To get insight into quality of intensive care – Quality indicators • To foster improvements in the organization and practice of intensive care – Benchmarking – Case mix correction – Statistical Process Control

  17. Measuring quality of care by indicators • External benchmark – Compare to peers • Internal benchmark – Compare own performance in time

  18. Measuring quality of care by indicators • External benchmark

  19. Measuring quality of care by indicators Case-mix corrected • External benchmark • Standardized mortality ratio= observed mortality / expected mortality

  20. Case mix adjustment • Many different prognostic models: – APACHEII,III, IV, SAPSII,III, MPM0/24, LODS, SOFA, Euroscore etc. – Logistic regression models – Data of first 24 hours of ICU admission • Measure performance (discrimination, calibration, accuracy) • Recalibrate if needed

  21. Statistical Process Control • Internal benchmark – Compare own performance in time – Variation in proces is noise or special cause – Detection rules e.g. 1 point cross UCL/LCL, 8 consequetive points below or under mean

  22. VAP Cost Cost of VAP in Calgary Health Region VAP Total Cost / Year Each case of VAP = $14,000 extra expense for Health Care (Safer Healthcare Now) $300.000 $2.500.000 Total Case Cost (Cnd$) / Fiscal Year $2.338.000 $250.000 VAP Case Cost (Cnd$) $2.000.000 $200.000 $1.344.000 $1.500.000 $1.190.000 $150.000 $1.000.000 $100.000 $574.000 $434.000 $500.000 $50.000 $378.000 $0 $0 apr./06 jun./06 aug./06 okt./06 dec./06 apr./07 jun./07 aug./07 okt./07 dec./07 apr./08 jun./08 aug./08 okt./08 dec./08 apr./09 jun./09 aug./09 okt./09 dec./09 apr./10 jun./10 aug./10 apr./05 jun./05 aug./05 okt./05 dec./05 feb./06 feb./07 feb./08 feb./09 feb./10 Months of the Year 22 MIE 2011, 30 Aug, Oslo, Norway Reza.Shahpori@AlbertaHealthServices.Ca

  23. State of the art SPC • Many types of charts – EWMA, CUSUM, RSPRT, P-charts etc – Risk adjusted or not • Limitly applied in critical care • Unknown what is the best chart to detect a decrease or increase in quality

  24. Points of interest / discussion • Share datasets / indicator sets – Formalisation – Terminology • How to move from quality assessment to quality improvement – Internal or external benchmarking – Statistical process control – Collaborative networks

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