I became aware of the work of Dan M. Kahan who recently published a working paper as part of the Cultural Cognition Projection. In the paper, he published the results of a clever experiment (Motivated Numeracy and Enlightened Self-Government) where he looked at conclusions drawn from simple data in 2 x 2 tables. The same exact data when linked to non-controversial scenarios (response of a rash to treatment with a cream) yielded completely different conclusions from individuals as opposed to when these data were associated with partisan questions regarding gun control. When strong beliefs entered into the equation, objective assessment of the data disappears.
Within the medical world, we have developed a host of partisan issues and we would be well served to
recognize this. There is no reason to undertake expensive and difficult studies if there is no sense that anyone will be swayed by the results. The best study designs are created by specialists with training in statistics, clinical trials, epidemiology. The individuals involved in these endeavors are not generally the constituencies who the data will be used to sway. Increasingly the data must convince the partisans. So here you have it. 25 years of study and basically no benefit in terms of mortality in women who have used mammography when compared to the non-mammography group.This is not sufficient to convince the true screening zealots.
Much like the last time such an article was published in NYT, the letters displayed remarkable partisanship. For the true believers, particularly those in whom mammography found what was diagnosed as cancer, no contrary information will convince them that their lives were not saved. It may be that for a vanishing small group, their perception may represent the truth. The estimates are somewhere in the realm of 1-2 per thousand screened for 10 years may have their lives saved. It is worth it? It depends on how you look at the question, whether the resources spent were your own, and whether similar resources spent differently may have saved or enhanced more lives.
This does not need to be a controversy for a simple reason. Screening mammography is a relatively cheap tool. The roughly $100, which needs to be spent every two years, represents about two tanks of gasoline or a fraction of a family grocery bill for one week. If patients were required to pay for this out of pocket, would a well informed consumer, given all of the data we know, view it as a good investment of their own money? One can ultimately feel as strongly about this issue as you desire, and this can be translated into action through the allocation of your own resources. Something cannot be that important if you cannot convince a patient to allocate $100 once every two years.
There are literally millions of choices we can make relating to how we allocate our personal resources. How we make these decisions depends upon our own individual preferences and our individual resources. I think I am on safe ground to say that the case for screening mammography is not going to get any more conclusive and there is no good reason to try to force some sort of universal set of actions on the parties involved. My take on this and a host of other screening activities is many are a bad deal for me and for other patients. There are better ways for me to invest my time and money.
The mammography controversy screams out that current insurance system only makes this problem oodles worse. We need to figure out how to take whatever resources that now go to pay for these back in the hands of women who can decide if participation makes sense. If they elect to get screened, they are no worse off than they are now. If they elect not be screened, they can allocate those resources to something else they deem of greater value. Good and smart people will make a variety of decisions, not all of which all members of the medical community will agree with. Many women will continue to chose to be be screened. Many will not. It is not entirely clear what the best decision should be and we will likely never know that answer. One size does not fit all.
No comments:
Post a Comment