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2. Session Objectives. At the end of the session, the participant will be able to:Review drivers of mortality in the ventilator population Explore use of Clinical Advisor in understanding clinical processes driving excess mortality . 3. Wide Variation of QUEST Charter Members that are at or Below
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1. Exploring Excess Mortality in the Ventilator Population Using Clinical Advisor Richard Bankowitz, MD
Rosemary Berg
September 11, 2008
2. 2 Session Objectives At the end of the session, the participant will be able to:
Review drivers of mortality in the ventilator population
Explore use of Clinical Advisor in understanding clinical processes driving excess mortality
3. 3 Wide Variation of QUEST Charter Members that are at or Below the Mortality Threshold
4. 4 Top 10 Mortality APR-DRGs for QUEST Members
5. 5 Excess Mortality Analysis ProcessIdentifying Patient Groups A method for identifying aggregate excess mortality was presented by Richard Bankowitz, M.D. and Eugene Kroch, Ph.D. on April 24, 2008
Exploring QUEST Mortality is available on the Performance Improvement Portal
This session will address drilling into patient groups already identified, such as by APR-DRG, listed on page 2 of the the Baseline Mortality Drill Down Report.
Finding Mortality and Cost of Care Targets with Clinical Advisor, presented at QUEST Collaborative II, is available on the Performance Improvement Portal (PIP)
Drilling into Mortality Target Areas (Septicemia and Heart Failure) with Clinical Advisor, presented July 8, 2008 is posted on the PIP
6. 6 Approximating the QUEST Mortality Measurein Clinical Advisor The QUEST Mortality Cheat Sheet is available on the Performance Improvement Portal
Only patients with patient type Acute Inpatient (08) are included.
From the CA prompt Patient Type/Standard Patient Type include Inpatient.
Patients with these discharge status codes are excluded from the QUEST mortality measure:
2 = Discharged/Transferred to Other Facility
43 = Discharged/Transferred to Federal Hospital
61 = Discharged/Transferred to Swing Bed
66 = Discharged/Transferred to a CAH
From the CA prompt Patient Visits/Discharge Status, exclude the codes listed above.
Note: Some patients may not have enough data to run the CareScience analytics; case counts may vary
7. 7 Exploring Drivers of Mortality Goal
Explore in-patient mortality by finding ACTIONABLE clusters – i.e., patient cohorts in which mortality rates might be improved with an intervention (Part of a PDCA cycle)
Common cause – systemic problems
Special cause – isolated but important causes
Definition
Excess Deaths = Total deaths in excess of predicted by the risk adjustment model = (actual % - expected %) * N patients
Excess Deaths can be “negative” in this definition
Therefore sum of all non-negative Excess Deaths over all patient subsets will be greater than hospital-wide results (hospital-wide obs – hospital-wide exp) * Total Discharges
In other words, there are always pockets of opportunity
Approach
Use Clinical Advisor to determine excess death by categories
Admission Source, Age, Principal Dx, APR-DRG or DRG, severity, other
8. 8
9. 9 Approaching Drivers of Mortality *Illustrative Examples of Potential Secondary Drivers Goal
Explore in-patient mortality by finding ACTIONABLE clusters – IE patient cohorts in which mortality rates might be improved with an intervention (Part of a PDCA cycle)
Common cause – systemic problems
Special cause – isolated but important causes
Definition
Excess Deaths = Total deaths in excess of predicted by the risk adjustment model = (obs % - exp %) * N patients
Excess Deaths can be “negative” in this definition
Therefore sum of all non-negative Excess Deaths over all patient subsets will be greater than hospital-wide results (hospital-wide obs – hospital-wide exp) * Total Discharges
In other words, there are always pockets of opportunity
Approach
Use CA or QM to determine excess death by categories
Admission Source, Age, Principal Dx, APR-DRG or DRG, severity, other
Goal
Explore in-patient mortality by finding ACTIONABLE clusters – IE patient cohorts in which mortality rates might be improved with an intervention (Part of a PDCA cycle)
Common cause – systemic problems
Special cause – isolated but important causes
Definition
Excess Deaths = Total deaths in excess of predicted by the risk adjustment model = (obs % - exp %) * N patients
Excess Deaths can be “negative” in this definition
Therefore sum of all non-negative Excess Deaths over all patient subsets will be greater than hospital-wide results (hospital-wide obs – hospital-wide exp) * Total Discharges
In other words, there are always pockets of opportunity
Approach
Use CA or QM to determine excess death by categories
Admission Source, Age, Principal Dx, APR-DRG or DRG, severity, other
10. 10 Ventilator Mortality Drivers Identified in the Literature Early weaning from ventilator
Minimize ICU days
VTE prophylaxis
Stress ulcer prophylaxis
Management of high risk secondary diagnoses
Acidosis
Coronary insufficiency, heart failure
Septic shock
Extrapulmonary organ failure
Protection from barotrauma (e.g., pneumothorax)
Prevention of Ventilator-associated pneumonia
Use of intensivists
11. 11 Many Ways to Define the Ventilator Population
12. Ventilator-related Excess Mortality APR-DRG 130
Respiratory Diagnosis with Mechanical Ventilation 96+ hours
13. 13 Analysis on Subsequent Slides Includes: APR DRG 130: Respiratory Diagnosis with Mechanical Ventilation 96+ hours with population exclusions to approximate the CareScience mortality model.
QUEST Baseline period: July 1, 2006 – June 30, 2007, unless otherwise noted
Hospital of interest is a QUEST Charter Member Hospital with excess mortality in APR DRG 130
Top performing peer group of 15 QUEST hospitals with low CareScience O/E mortality ratios in APR DRG 130 (Custom peer group)
14. 14 QUEST Mortality Drill Down Reports Mortality Trend
Mortality by Day of Hospital Stay
Mortality by APR-DRG Risk of Mortality Subclass
Mortality by Detailed Age Grouping
Mortality by Secondary Diagnosis
Mortality and Palliative Care Coding
Mortality and Ventilator Duration
Resource Use Comparisons
Non-invasive ventilation
ICU duration
VTE Prophylaxis
Stress Ulcer Prophylaxis
Treatment of Secondary Diagnoses
Patient Safety Indicators
15. 15 Hospital of Interest Mortality OpportunitiesQUEST Baseline Report
16. 16 Mortality TrendAPR-DRG 130 Respiratory Diagnosis with Mechanical Ventilation 96+ hours
17. 17 Mortality by Day of Hospital StayAPR-DRG 130 Respiratory Diagnosis with Mechanical Ventilation 96+ hours
18. 18 Mortality RateComparison to Top Performer Peers
19. 19 Mortality Rate by Risk of MortalityComparison to Top Performer Peers
20. 20 Mortality Rate by Age GroupComparison to Top Performer Peers
21. 21 Mortality Rate by Secondary DiagnosisComparison to Top Performer Peers
22. 22 Mortality and Palliative Care CodingComparison to Top Performer Peers
23. 23 Ventilator DurationHospital of Interest
24. 24 Use of Non-invasive VentilationComparison to Top Performer Peers
25. 25 Use of ICU Resources and ALOSComparison to Top Performer Peers
26. 26 Use of VTE Prophylaxis Comparison to Top Performer Peers
27. 27 Use of Stress Ulcer Prophylaxis Comparison to Top Performer Peers
28. 28 Ventilator Patients with CHFUse of ACE Inhibitors and Beta Blockers Comparison to Top Performer Peers
29. 29 Patient Safety Indicator AnalysisComparison to Top Performer Peers
30. 30 Other Areas for ConsiderationAPR-DRG 130 Respiratory Diagnosis with Mechanical Ventilation 96+ hours Similarities between hospital of interest and top performer peers:
Mortality by Severity of Illness (most patients in severity 3 & 4)
Principal diagnosis distribution (60% acute respiratory failure)
Other procedures distribution (few other procedures; this is a medically managed population)
Antibiotic use
Other areas to explore?
Extrapulmonary organ failure
VAP
Severe sepsis
Sedation use
Intensivist use
31. 31 Mortality Analysis Summary Look for excess mortality in risk-adjusted populations
Identify the potential drivers of mortality in the identified population.
Look for differences in comparison with peers and those who expired vs. those who lived.
Let the data take you to your next clinical hypothesis and test.
Always verify your hypotheses and analysis with clinicians closest to the process.
32. 32 Resources on the Performance Improvement Portal Ventilator Associated Pneumonia advice category
Protocols for:
Ventilation
Weaning
Sedation vacation
Mortality measurement, tools, results
Share your successes, ask questions of Collaborative Members
33. QUESTIONS?