(Alex Wong/Getty Images)
“As Republicans try
to repeal the Affordable Care Act, they should be reminded every day that
36,000 people will die yearly as a result.”
— Sen. Bernie Sanders (D-Vt.), in a tweet, Jan. 12, 2017
— Sen. Bernie Sanders (D-Vt.), in a tweet, Jan. 12, 2017
With the fate of the
Affordable Care Act hanging in the balance, the rhetorical warfare is only
going to get worse. Earlier this week, we looked at an exaggerated GOP claim about Obamacare premiums.
Then this tweet
caught our eye:
How is this number
calculated and is it credible?
The Facts
For context, more
than 2.6 million people died in the United States in 2015, or nearly 7,200 per day. So Sanders is suggesting
repeal of the law would increase the number of deaths by 1.4 percent.
Sanders obtained the figure of 36,000 from a calculation by ThinkProgress, a left-leaning website,
according to his aides. Essentially, ThinkProgress assumed that repeal
will result in 29.8 million people losing their insurance and that one
person will die for every 830 people who lose their insurance. That yields a
number of 35,903.
So this is an
estimate based on two other estimates. How credible are the other two
estimates?
The Obama administration says that about 20 million people have gained insurance
because of the ACA. We’ve done some digging on this number — some conservative
analysts have raised questions about it — but it generally seems in the
ballpark. Surprisingly, more of the increase in coverage comes from the
expansion of Medicaid, not the creation of the exchanges for individual
insurance.
The larger number of 29.8 million comes from an Urban Institute report that assumes Republicans will
repeal parts of the law through the reconciliation process without outlining
any replacement plan, thus leading to a near collapse of the nongroup insurance
market. That’s a pretty big assumption.
Moreover, one cannot
assume that everyone will automatically lose coverage. One
recent study has indicated that nearly 30 percent of the gain in the
insured came from people who were already eligible for Medicaid. This is known
as the “woodworker” effect. In theory, these people still would be eligible
even if the expansion of Medicaid was repealed, though the authors of the
report dispute that, saying the woodworker effect took place
precisely because of policies in the law.
In any case, nearly
30 million is certainly a high estimate.
The other part of
the calculation is even more problematic. It stems from a study on the effect of the Massachusetts health-care law
implemented by then Gov. Mitt Romney, not the Affordable Care Act.
The study compared
changes in mortality rates for adults from 2001-2005 to the rates in 2007-2010,
after the law was implemented. The research indicated that for every 830 adults
who gained insurance, there was one fewer death per year.
But the study
clearly noted that “we do not have individual-level insurance information and
thus cannot directly link mortality changes to persons gaining insurance
coverage.” Moreover, it said the results could not be directly applied to the
Affordable Care Act because “Massachusetts differs from the rest of the nation,
including lower mortality, higher income and baseline insurance coverage rates,
fewer minorities, and the most per capita physicians in the country.”
There are wrong ways
and right ways to cite this kind of data. When the White House Council of
Economic Advisers in December cited the report, it appropriately noted that it was based
on data from Massachusetts: “If experience under the ACA matches what was
observed under Massachusetts health reform, an estimated 24,000 deaths are
already being avoided annually.”
But Sanders not only
directly applied the formula to the ACA, but he also assumed that withdrawing
insurance would have the same impact as adding insurance. Benjamin
Sommers, the lead author of the study, said: “You’re right that giving
insurance versus taking it away may not produce mirror image effects — that
adds further uncertainty to the discussion.”
Sommers, who helped
implement the ACA as an Obama administration official in 2011-2014, said
applying the formula could produce “a reasonable ballpark estimate of what is a
difficult question to answer, but it’s clearly not a definitive fact.” He added
that Sanders’s tweet was “not a very nuanced assessment. Twitter isn’t the best
venue for assessing complex research findings.”
Warren Gunnels, a
Sanders policy aide, also pointed to a detailed 2009 study that estimated that out of every
1 million people without insurance, 1,000 will die because they lacked
insurance. The study followed a group of patients for 12 years and found
that those without insurance had a higher rate of mortality. Roughly speaking,
if all 20 million people who gained insurance under the Affordable Care Act
lost it, that would mean 20,000 deaths. Not only is that about half as much as
the figure touted by Sanders, but it also assumes Republicans will simply leave
everyone now covered without health insurance.
The Pinocchio Test
Certainly, the
impact of changes in the health-insurance market on the death rate is an
important issue in the debate over Obamacare, especially if Republican pledges
to keep everyone covered fall short. But the Fact Checker often warns readers
to be wary of scare statistics that lack context.
Sanders has tweeted
as a definite fact an estimate that a) assumes Republicans will gut Obamacare
without a replacement b) assumes the worst possible impact from that policy and
c) assumes that data derived from the Massachusetts experience can be applied
across the United States.
Those are three very
big assumptions. Take away any one of them, and Sanders’s claim that repeal of
the law will cause 36,000 people to die a year falls apart.
Ordinarily, this
sort of fuzzy math would be worthy of at least Three Pinocchios. But
ThinkProgress, in calculating the number, at least said this many people
“could” die. Sanders instead stated it as a definitive fact — that 36,000 will
die. That tips this claim into Four-Pinocchio territory.
Four Pinocchios
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