We wish to comment on the Committee’s statement that studies of geographic variation consistently show that 30% of Medicare spending is wasted, and on the Committee’s conclusion that policies requiring spending reductions by physicians whose spending is above a certain threshold may be useful.
While the studies cited are consistent, so too are their methodological shortcomings. In particular, Medicare spending cannot serve as a proxy for real resources inputs (labor and capital) (see Mississippi, Alabama and Nevada). When total health care spending is assessed, instead, higher resource inputs are generally associated with better quality, even recognizing that the highest resource use is by patients who are sickest and whose outcomes are the poorest.
The notion of “30% waste” has deeper roots in an invalid thread of logic that begins by characterizing regional differences in Medicare spending as “unexplained,” and because differences are “unexplained,” they must be unwarranted, and because they are unwarranted, they must be wasted. Logic dictates that, when differences are unexplained, explanations must be sought. In fact, when that has occurred, variation has been attribltable to differences in the prevalence of disease, patients’ risk factors, patients’ income, community characteristics and even altitude. Moreover, these pervasive and stubborn variations have been found in other developed countries, where health care financing and delivery systems are very different from the US.
The belief that broad-scale geographic variation in Medicare spending can offer a path to short-run savings is incorrect. It should not form the basis for incentives or penalties affecting physicians’ practices. Indeed, restrictive policies, including those under consideration, could deprive some patients of beneficial care.
Richard A. Cooper, MD, Professor of Medicine Mark Pauly, PhD, Bendheim Professor of Health Care Management and Economics University of Pennsylvania
The reason is that Milwaukee is within a cluster of states with high rates. They extend from Idaho to Michigan and from Kansas to North Dakota, but they don’t stop there. High rates continue into Saskatchewan, which sits atop North Dakota and has the same high rates, and into Ontario, which sits above Michigan and shares Michigan’s high rates. Knee replacement rates in these states and provinces average 70% higher than in regions with the lowest rates, which are in three clusters: California/Nevada/New Mexico + Hawaii; Kentucky/Tennessee; and New York/New Jersey/New England, and these low rates extend straight up fom New England in to Quebec/Newfoundland/Labrador. The rates are as different in Quebec and Saskatchewan as they are in Maschusetts and Montana. How interesting that two neighboring countries with two different health care systems have identical patterns of geographic variation — a phenomenon that knows no borders. (Note that because the rates are lower among blacks, the map only shows rates for whites. These data are
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