A new Kaiser analysis sheds light on how the country might react
to the Affordable Care Act (ACA) when it is implemented. It looks at how
the benefits of the ACA's coverage expansions will vary around the country by
census areas (technically, Public Use Microdata Areas, or PUMAs). PUMAs
are artificial areas of about 100,000 people each created by the Census
Bureau to provide more detailed demographic, social and economic
information at the local level. They are generally bigger than zip codes
and often overlap with counties, but all fall within state lines. While
people today don’t really know about their PUMAs, next year local agencies will
be naming each PUMA. Get ready for the excitement — there will be a PUMA coming to your
area soon.
Our
analysis illustrates the percentage of the non-elderly population in each PUMA
who could benefit personally from the Medicaid expansion or tax credits
available through the new state-based insurance exchanges. We also
created a web tool that allows people to put in their zip code and see
what percentage of the non-elderly population will benefit in their area (i.e.,
PUMA). A full description of the results and the methodology, including
caveats, is available online.
The study of “small area variations” in health care costs and delivery was
pioneered years ago by Dr. Jack Wennberg, with whom I worked early in my
career. But there has been less focus on variations in health coverage
below the state level.
In fact, there is wide variation in how many people will benefit from the ACA’s
coverage expansions…really wide! It ranges from 2-4% of the
non-elderly population who could benefit from coverage expansions in parts of
states with broad coverage, such as Massachusetts and New York, to as much as
36-40% in parts of Florida, New Mexico, Texas, Louisiana, and
California. PUMAs in the country benefiting the most are parts of the
Miami area, areas northwest of Albuquerque, and Fort Worth. And the PUMAs
benefiting the least are all in the Massachusetts suburbs. Of course,
Massachusetts already has its own nearly universal coverage plan. On
average across the country, 17% of the non-elderly population could benefit
from the coverage expansions.
Over time, more people will benefit because insurance coverage is
dynamic. People’s employment and economic circumstances change and they
will cycle in and out of eligibility for Medicaid or tax credits. And
they will all have family members and friends who will see them receive these
benefits and presumably value the fact that their relatives and friends have
coverage.
Of course, we have always known that states with the largest uninsured
populations will benefit the most from the ACA’s coverage expansions. The
new analysis, however, shows that there will be real variations even within
these states. For example, in the state of California where KFF is
headquartered, the share of the non-elderly population who could benefit ranges
from 5-36%, mirroring the variation for the country as a whole. The
ranges are large in smaller states, too — from 13-29% in Utah, 5-19% in
Wisconsin, and 7-23% in Virginia.
But, there is a flip side to this picture. The more uninsured people
there are in a PUMA, the greater their number that will be subject to the
insurance mandate, which is the least popular provision of the ACA and the
subject of the Supreme Court case to be heard this spring.
There is also an interesting pattern if you overlay PUMAs with a high
percentage of people benefiting from coverage expansions with congressional
districts. Republicans oppose the ACA but there are slightly more high
benefit Republican districts than Democratic ones, a subject my colleagues and
I address in a separate op-chart published in Politico.
I doubt there will be a direct relationship between high and low benefit PUMAS
and how people perceive and respond to the law. For one thing, the law
benefits people in many ways beyond its coverage expansions. For example,
there are its many consumer protections (including provisions guaranteeing
coverage regardless of pre-existing conditions), its coverage of preventive
services without cost sharing, its coverage of drug costs for seniors who fall
in the donut hole, and much more. On the other side of the coin there are
many provisions of the law that offend its critics that have nothing to do with
expanding coverage, most famously the individual mandate.
It may be that there will be no clear public judgment of a law that affects the
public so variably and in so many different ways. Many
Americans will have a hard time knowing whether a change in their insurance or
health care arrangements was made by their provider, their insurer, their state
government, or as a result of the ACA. Our
media and horse race driven society tends to expect a thumbs up,
thumbs down verdict on everything. But the ACA may come to be viewed by
the public as a collection of parts and pieces; some
more successful and popular than others and some less; some
easy for people to connect to the ACA and some not; with a
varying pattern of impact across the country not only from state to
state, but from community to community.