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Using Evidence For Better Health Policy

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Presentation on theme: "Using Evidence For Better Health Policy"— Presentation transcript:

1 Using Evidence For Better Health Policy
Better Information * Better Health * Reduced Variation Leah Hole-Curry, HCA

2 Problem: Low Access, Highest cost, Low Quality, Waste (2007 WA Blue Ribbon Comm.)
593,000 Washingtonians (inc. 73,000 children) without health care The state spends $4.5 billion on health care, up from $2.7 billion in This is increase from 22% in 2000 to 28% in 2007 US spends more, but ranks lower on performance and health outcomes 20-30% of current health expenditures do not improve or extend life. (also recommended care received only 55% of time) WA’s Answer: Gov and Legislature use evidence based medicine to reduce waste, increase quality, and get better value (one of five point strategy) Dartmouth/Wennberg’s Answer for WA - better outcome and lower cost Reduce Overuse of Supply Sensitive Care – accounts for 63% of variation and waste, (one of three point approach) Manage growth/capacity of new, high cost, unproven value technology (use of scientific research prior to approval) Commonwealth’s Bending the Cost Curve (#1 answer) Comparative Effectiveness Research - save $368 billion over 10 yrs by using relative clinical and cost-effectiveness treatment information Why Evidence Based Policy ? What are the program’s policy

3 Health Technology Assessment (HTA)
Pay for What Works: Better Information is Better health Transparency publish process, criteria, reports committee decisions in open, public meeting Evidence Reports Formal, systematic process to identify, review, and cover appropriate health care technologies Coverage decisions Independent committee of health care providers Rely primarily on evidence report Consistent across state health care purchasing agencies Is it safe? Is it effective? Does it provide value (improve health outcome)? Why Evidence Based Policy ? What are the program’s policy

4 New Health Purchasing Focus: Hierarchy of Evidence
Best: Meta-analysis of large randomized head-to-head trials. Large, well-designed head-to head randomized controlled clinical trials (RCT): Long-term studies, real clinical endpoints Well accepted intermediates Poorly accepted intermediates Smaller RCTs, or separate, placebo-controlled trials Well-designed observational studies, e.g., cohort studies, case-control studies Safety data without efficacy studies Case series, anecdotes Least: Expert opinion, non-evidence-based expert panel reports, and other documents with no direct clinical evidence Describe hierarchy of evidence. Level 3: “What would I recommend to the state or nation?” Must be based on rigorous assessment of the scientific evidence. Affects hundreds of thousands, even millions of people. Level 2: “What would I recommend to my patient/client?” Influenced by prior experience, but the scientific evidence may play a greater role. Affects possibly hundreds of people. Level 1: “Would you have this done for yourself or for someone else in your immediate family?” Influenced by one’s personal experience with the disease and capacity to deal with risk. Affects few people.

5 HTA Program Elements Four Keys
HCA Administrator Selects Technology Nominate, Review, Public Input, Prioritize Vendor Produce Technology Assessment Report Key Questions and Work Plan, Draft, Comments, Finalize Clinical Committee makes Coverage Determination Review report, Public hearing Agencies Implement Decision Implements within current process unless statutory conflict Semi-annual 2-8 Months Implications of each Independent Clinical Committee 11 Members - 6 Physicians and 5 other health care providers No state agency or industry representative Clinical Committee Information Review Must review and consider Health Technology Assessment May consider other relevant information Information Provided by administrator Reports and testimony from advisory groups Submission or comments from public Meet Quarterly

6 HTA Program Outcome


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