QUALITY: Comparing Perspectives in Comparative Effectiveness Debate

February 16, 2009 - 11:13am

The New York Times' Robert Pear examines the content and contentiousness of the comparative effectiveness provisions of the $787 billion stimulus package.

HR 1 provides $1.1 billion (pdf starting on page 156) to AHRQ, NIH and the HHS to evaluate the relative effectiveness of different health care services and treatment options. The goal is to create a process of funding and disseminating comparative effectiveness research that is transparent, professional and free from conflicts of interests. As the Dartmouth Atlas' Elliott S. Fisher, MD, tells Pear, the funding would be used to try to answer questions such as:

Is it better to treat severe neck pain with surgery or a combination of physical therapy, exercise and medications? What is the best combination of "talk therapy" and prescription drugs to treat mild depression?

How do drugs and "watchful waiting" compare with surgery as a treatment for leg pain that results from blockage of the arteries in the lower legs? Is it better to treat chronic heart failure by medications alone or by drugs and home monitoring of a patient's blood pressure and weight?

In health care, though, simple questions rarely have simple answers. Nor will answers be static; biomedical science changes at a pretty astonishing clip. We wrote about this topic twice last week, and we expect to hear more about it as the health reform debate intensifies. Last week Kyle Noonan wrote about some of the alarmist rhetoric surrounding the issue, and Joanne Kenen wrote a longer piece about how comparative effectiveness fits into "health" as well as health care reform. We also want to point out Bob Laszewski's posts at the Health Care Policy and Market Place Review, which has provided interesting coverage on this topic. In his most recent post he worries that the final bill's focus on clinical effectiveness will not translate into cost effectiveness. Commenters on the post have suggested that getting the clinical data right is the hard part and that once that information is available it will be easier to work out the questions of cost and value.

Beginning to measure what works best for what patients or populations under what circumstances can provide a baseline. Providers and patients will have access to information that will help them better understand their choices and the likely consequences. Providing that information in a manner that is transparent, credible, and easily understood will go a long way to ensuring that all Americans receive the most effective care whether they live in Florida or Nebraska or California.

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