Comparative Effectiveness Research—Let’s Build the Data Universe
Posted: under Current Affairs, Health, Medicine, and Healthcare.
Yesterday, HHS released recommendations for how the Secretary will spend $400 million in funds for comparative effectiveness research (CER). The report was prepared by the Federal Coordinating Council for Comparative Effectiveness Research.
I’ve posted several times on the importance of CER research for improving effectiveness and safety, and reducing the cost of medical treament. Universal health care in the United States will not be affordable or worthwhile unless such research is done.
The program outlined by the council looks good so far. Plans include four major categories of spending: Comparing medicines for a specific condition or discharge process; training new researchers and developing methodologies; building a data infrastructure with practice-based data networks, linked medical administrative databases, and patient registries; and creating tools and methods to translate comparative effectiveness results into practice.
The council website includes a form for public comment on the plans. This morning, I used the form to submit a recommendation to emphasize the third element of the CER plan—the data infrastructure. I’ve long entertained the idea and hoped that the government would construct a database to include all the patients, illnesses, and treatments in the entire nation. It might be difficult to do, but I don’t think it impossible. We should start the effort to create such a data structure now.
Here is the text of my comment to the council:
I’m extremely heartened by the federal CER program, which has long been needed and is long overdue. As an FDA medical reviewer (now retired), I analyzed comparative effectiveness and safety research related to drugs, and I agree that much more of that work needs to be done.
The program seems well thought out and well designed. But I would like to emphasize to you the third element of the strategic framework: “CER Data Infrastructure, e.g., developing a distributed practice-based data network, linked longitudinal administrative or EHR databases, or patient registries.” This has huge potential, provided that the scope is adequate.
In the last 30 years, effectiveness/safety research has emphasized the performance of clinical trials. The gold standard of clinical research is considered the RCCT, the randomized controlled clinical trial. Such trials will constitute the first element of your strategic framework. But despite three decades of well-designed investigations, most important issues of comparative effectiveness remains unresolved.
Clinical trials are fundamentally limited in what they can accomplish. They are expensive and time-consuming, and their scope is focused, limited, and piecemeal. They are often artificial and unrealistic. And although they are considered the gold standard, they are often subject to as much bias, manipulation, and lack of precision as any other kind of research.
On the other hand, a database of medical practice, which includes patients, diagnoses, interventions, courses, and outcomes, has many advantages. Research can be done more easily and quickly and at much less expense, once the database is up and running. Questions for investigation can easily be modified as ongoing results become available. Often questions that weren’t even asked may emerge during research and be added to the protocol.
The main problem with such research is the sampling issue. Does the database include only a sample of the patient/disease population, and is the sample biased? (The sampling problem is one of the main problems that the RCCT is supposed to resolve, although it often does not really do so.)
I would like to urge you, therefore, to make it a first priority in the strategic framework to develop a practice database that is universal. The federal government should try to establish a data infrastructure that includes all—all patients, all diagnoses, all interventions, all courses, and all outcomes in the nation. This may seem impossible to do. But I am confident that in this age of gigahertz computers, terabyte bandwidth, and instant Internet connectivity, it can be done.
Such at database would make it possible to ask and answer a research question by investigating the complete set of cases to look at. There would be no possibility of biased sampling. Questions could be formulated and investigated quickly and easily. Precise and detailed answers could be determined—because all the cases would be investigated.
The benefits to our society would be enormous.
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Jun 30 2009