For some reason, everyone I’ve seen who has so far responded to my piece on mortality and the lack of insurance has pulled exactly the same debater’s trick: they restate my argument in maximalist form, and then proceed to really kick the hell out of the strawman they’ve created. I mean, there’s hay and shreds of fabric on the ceiling of offices three floors above them. Button eyes flying off so fast that several have achieved escape velocity. Crows shrieking in terror as far away as Fresno and Marseilles. It’s a stunning display of . . . something.
But I have not asserted that insuring the uninsured wouldn’t
save anyone’s lives, so I don’t know why they’re making this argument
while linking to me. What I said is, the studies so far done
often cannot exclude the possibility that there is no effect–this is
true of one of the two studies that IOM/Urban relied upon, and also of
the largest observational study done to date, which found no effect.
That is not the same as saying there is no effect. Health
data, like economic data, is very noisy. Sometimes effects that we’re
pretty sure exist just can’t be easily teased out of the data . . .
like, oh, I dunno, the effectiveness of fiscal stimulus, say.
What I am
saying is that we don’t know how big the effect is. Refuting me
involves, not saying that well, here’s another study showing some
effect, but rather, taking a stand and saying we do know how big the effect is, or at minimum, that we can prove it’s probably at least 20,000 people a year, the figure I was discussing.
Because
of course, size matters. If you want to argue in favor of a national
health care system on the basis of improvements in mortality, then the
number really has to be quite large. By 2019, the CBO expects the
government to be spending just about $163 billion more the exchanges,
and the Medicaid/S-Chip expansions. (About $100 billion of that is to
be offset by Medicare and other cuts–but I’m just trying to isolate
how much we’re going to spend to expand coverage, since we could do the
coverage expansion without the Medicare cuts, or the Medicare cuts
without the coverage expansion–and doing the latter would give us
money for other things, so there is an opportunity cost to using them
for this).
If 1,000 people die a year, that means that we
will be spending $163 million per life saved. If the number is 5,000
we would be spending $33 million. In fact, you need the number of
people dying from lack of insurance each year to be quite large–more
than 20,000–to get the dollars-per-lives-saved within the ranges that
say, the EPA or the NHTSA use for doing cost-benefit analyses on
regulations.
Now, obviously, as I’ve also said repeatedly, there
are reasons beyond mortality that we might support this system.
Mortality is only one element, albeit an important one.
But I
think that journalistic hunger for “a number” has resulted in some very
rough numbers with a lot of weaknesses being adopted as a fact in the
debates. They’re not facts, they’re very rough guesses, and they
shouldn’t have been used as a selling point for this plan without at
least some investigation of how reliable they were. Moreover, I know
that the people arguing with the study understand the problems, because
they suddenly rediscovered them in regards to the data on deaths before
and after age 65. A lot of people are arguing that we should ignore
the aggregate data on Medicare mortality statistics in favor of Card’s
paper on the discontinuity between health outcomes for ER admits who
are just under 65, and those just over.
I see the argument for
using easier-to-measure subgroups in an attempt to isolate causality.
But here’s the thing: you cannot say, well, aggregate data isn’t very
good for capturing causality, and also cite the figures from the Urban
Institute, or Himmelstein et. al. as if they had some meaning. Those
data are far worse than the Medicare data, because at least the
Medicare data gives you a natural experiment, and it doesn’t try to
isolate “the uninsured” on the basis of their insurance status on a
single day.
It also rather misses the point of why I find the
aggregate Medicare figures so striking, something I’ve been hammering
out in private emails for several days. People under the age of 55
account for a very, very small proportion of deaths in this country.
It’s after 60 that you’d expect to be getting the largest mortality
benefit from expanding insurance coverage. If switching people to
government-run insurance at the age of 65 doesn’t produce any
measurable improvements in the mortality rate of a population with a
high mortality rate, then how big an effect could a national health
care system for younger people have on mortality outcomes? Would it
even register in national statistics? Is this the right use of $163
billion? I mean, we can say that a policy is a success if it saves even
one life, but it is not actually possible to run a country this way.
If
you want to see the argument only in maximalist terms, I’d like to see
some of the people who have pushed my argument to its maximalist
conclusion endorse some maximalist propositions of their own. If
you’ve used the 20,000 or 45,000 figures regularly, approvingly cited
the Himmelstein et. al. bankruptcy data, and stated as a fact that the
health care bill will reduce deficits because the CBO said so, you
should have no trouble signing on to the following propositions:
- Since
I think that the Urban and/or Himmelstein figures are reliable, and at
least 60% of the uninsured will be covered by the new plans, I expect
that mortality rates among those under 65 will begin a discontinuous
fall by late in this decade. I expect them to drop by at least 10,000
(1.5%) and very possibly by 22,500 (3.5%), or even more, by 2025. - I
expect that within 5 years of implementing this plan, we will see a
kink in the bankruptcy curve representing an at least 20% decline in
the overall level of bankruptcies from trend. - Since I believe
that the CBO’s accuracy at predicting the future with their reports are
very high, and conservatives who question them are disingenuous, I do
not believe that total government expenditures on health care will rise
by more than $90 billion a year + [the health care CPI x current
expenditures] + the annual cost of the doctor fix. - Since I have
frequently cited international mortality and infant mortality figures
as an example of the failure of the American health care system, I
expect that within 10 years of implementing this plan, we will have
begun to substantially close the gap between the US and other developed
nations with better mortality statistics. I believe that this plan
will ultimately reduce the mortality gap by at least a third within 25
years, and virtually eliminate it within 50 years.
I doubt
that many people want to take the maximalist position, because, well,
the universe is messy. I don’t either, which is why I didn’t take it.
I don’t think we know how many people die every year from lack of
health insurance. I think the number is probably smaller than Urban,
because I expect the pressure from the unobserved variable bias to be
upward. But I could be wrong. Further than that, I am unwilling to
say.
