Implementing the Quality Feedback Loop to improve and drive change. An Australian Cardiac Procedures Registry Perspective

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Clinical Registries Seminar: Monitoring & Improving Health Outcomes Implementing the Quality Feedback Loop to improve and drive change An Australian Cardiac Procedures Registry Perspective Christopher Reid Assoc. Director, Head, Clinical Informatics and Data Management Unit School of Public Health & Preventive Medicine Monash University

Quality Feedback Loop

Collecting the Information Clinical Registries Quality Assurance function Benchmarking of national standards International comparisons High quality and poor performance Monitor trends Patient characteristics Procedure details Monitoring outcomes Morbidity / Mortality / Treatment / Guidelines Appropriate risk modelling Improving Patient Outcomes

Who benefits from a registry? Providers Quality assurance Credentialing Payers Cost benefits Quality assurance Researchers Educators Policy Makers Workforce planning Consumers Healthcare System confidence

International Activities

What s happening in Cardiac Registries in Australia? ASCTS Registry Demonstration project needs analysis 1999 Establishment of ASCTS Database Committee - 2000 Secured VDHS funding 2001 Initial paper form converted to database product 2003 Secured further VDHS funding 2004 Initial 12 month public report and HLC publication Interstate Involvement / Research Committee 2005 Web based collection system 2008 26/26 Surgical Units around Australia 2012

Other Cardiac Registry Initiatives Surgical Units Heart Foundation / AIHW GRACE / ACACIA Registry Melbourne Interventional Group Australian Cardiac Procedures Registry Snapshot ACS Victorian Cardiac Outcomes Registry (VCOR) Queensland Network initiative

Operating Principles for Cardiac Registries Data management Ethics & Governance Core Minimum Dataset Security Issues Quality Issues completeness, accuracy & timing Data Custodianship Analysis & reporting

Quality Feedback Loop

Registry Data Reporting Public Report - 30 day mortality - characteristics Hospital Reports - Identify Units to themselves - 5 KPI s Surgeons report - highly detailed - all procedures and outcomes

Health Care or Research? MJA, 2008

Health Care or Research? Surgical Units MJA, 2007

Sharing Information - Risk Management Identification of Outliers What method? Control charts. Cumulative sum plots How to present data? Peer review process Public Availability? Can we avoid league tables? Cumulative Expected - Observed Mortality All procedure score adjusted mortality rate within 30 days (%) Fraction defective 0.01.02.03.04.05 1060 5 0-5 40 20-10 0 34 28 3 9 0 26 16 50 2062 1 8100 7 10 5 14 11 32 150 12 22 200 17 4 18 19 23 29 31 25 27 33 3015 30% 24 risk 21increase 13 50% risk increase 75% risk increase 0 1 30% risk 2 decrease 3 50% risk decrease 4 5 75% risk decrease 6 0 100 200 HID 300 400 500 Mortality 0 units 30day are out 2008/10 of control Total - Surgeon number ID=xxxx of procedures AllProcScore, performed N=214.0186587

Public Reporting?

History of Public Reporting 1990 NY State hospital specific 1992 NY State surgeon specific 1992 Pennsylvania & others Intense criticism -Inappropriate risk adjustment - Avoidance of high-risk cases - Flawed administrative databases - Untrained journalists Adult Cardiac Surgery in New York, 2009

League Tables Fundamentally flawed, unnecessary and inappriopriate No adjustment for sample size No adjustment for random variation No accounting for no true difference Jacobs et al, Ann Thorac Surg,2009

Substantial uncertainty Wide CI s Only 2 of 175 can be confidently placed in the lowest mortality quartile Only 6 in the highest mortality Quartile Thus, any league table is largely spurious, apart from possibly identifying some extreme cases that can confidently be placed in, say, the top or bottom quarter Jacobs et al, Ann Thorac Surg,2009

Quality Feedback Loop

Driving Change Implementation of Evidence based best practice Implementation Research Generation of new knowledge of what works best in practice

Comparative Effectiveness Research Comparative effectiveness research Designed to inform health-care decisions by providing evidence on the effectiveness, benefits, and harms of different treatment options. The evidence is generated from research studies that compare drugs, medical devices, tests, surgeries, or ways to deliver health care. There are two ways that this evidence is found: Researchers look at all of the available evidence about the benefits and harms of each choice for different groups of people from existing clinical trials, clinical studies, and other research. Researchers conduct studies that generate new evidence of effectiveness or comparative effectiveness of a test, treatment, procedure, or health-care service.

EBP Current View Can it work? (Efficacy) Does it work? (Effectiveness) Is it worth it? (Cost- Effectiveness) Evidence generation Clinical trials Evidence synthesis Systematic reviews Clinical guidelines Various methods Decisionmaking Regulatory approval Clinical practice Health policy Danny Liew, 2012

EBP Ideal View Can it work? (Efficacy) Does it work? (Effectiveness) Is it worth it? (Cost- Effectiveness) Evidence generation Clinical trials Epidemiology, Registries Costing Studies Evidence synthesis Systematic reviews Clinical guidelines Comparative effectiveness research Health Technology assessment Decisionmaking Regulatory approval Clinical practice Health policy Danny Liew, 2012

Generating evidence to drive change Registry Data Specific trial related data Specific trial related data Cost Effective CE Clinical Trials

Registry Compass ANZSCTS Registry Registry compass Governance and Control Category scores AUS score 1 Avg. of all registries Avg. of coronary reg.'s Designing Measures Driving Change Designing measures Collecting Data 3.8 4.0 3.9 3.9 3.8 3.5 Analyzing and reporting 3.8 3.7 4.0 Collecting Data Analyzing & reporting Driving change Governance and control 2.3 4.3 2.7 3.7 3.0 4.3 Boston Consulting 2012

Quality Feedback Loop

CRE in Cardiovascular Outcomes Improvement Issues to be addressed in the CRE research program include; Maximising and initiating the use of routinely collected clinical information to inform on the safety and quality of cardiovascular care Enhancing the use of evidence based best practice in the provision of cardiovascular interventions and therapeutics Informing policy makers and consumers on the cost-effectiveness of driving change in the delivery of health services based on translation of evidence into clinical practice

CRE in Cardiovascular Outcomes Improvement Guideline Implementation research Cardiac Registries & Clinical Networks Benchmark Quality & Safety CRE Research Strategy & Framework Surgery PCI ACS AF HF Epidemiological Modelling & Health Economics Improve Patient Outcomes Impact Health Policy Comparative Effectiveness Trials

Driving Change

Whats the future for Cardiovascular registries?