CMS Data · Rural access

Where do rural patients simply run out of providers?

Everyone agrees rural America has fewer doctors and facilities. Proving how big the gap is, and exactly where, is another matter, because the pieces live in separate places: one list of facilities, another of individual providers, and a way to tell which addresses count as rural. Bring them together and the slogan becomes a map, showing precisely where access thins out, by type of doctor and type of facility.

Doctors per areaFacilities per areaRural vs cityAnswer in seconds
Oshri Cohen, CMS healthcare data made useful
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The problem

Three lists, no map.

Everyone agrees rural America has fewer providers. Putting a number on it is harder, because the pieces sit in different places. One source lists the certified facilities and what kind they are; another lists individual doctors and where they practice; and a third tells you which of those addresses are rural. None of them, alone, gives you access, the number of providers relative to where people actually live. You have to place everyone on a map, tag each spot rural or city, and count across all three.

Bring the three together and tag each one rural or city, and access becomes a simple question. You can count doctors and facilities per area, break it down by type of doctor and type of facility, and compare rural to city directly, so the access gap stops being a talking point and becomes a number you can rank, target, and act on.

What it answers

Questions you can finally ask.

Each is a question you simply ask and get an answer to, not a three-week analysis project.

How much thinner is rural access?

Compare providers per area in rural versus city places to put a real number on the access gap instead of asserting it.

Which kinds of doctors are scarcest rurally?

Break access down by type of doctor to find the fields that all but vanish outside cities, the sharpest gaps of all.

Which facilities are missing in rural areas?

See which kinds of facilities are absent or rare in rural areas but common in cities.

Where are the worst access deserts?

Rank rural areas by how few providers they have for their size, surfacing the places with the deepest shortages.

Do facilities and doctors cluster differently?

Compare where the facilities are against where the doctors are to see where buildings and workforce don't line up.

Which rural areas sit near city supply?

Tell the rural areas right next to dense city clusters from the truly isolated ones, separating reachable gaps from real deserts.

What goes into it

What the answer pulls together.

The list of facilities

The roster of certified facilities and what kind each one is, the building-side count behind the map.

The list of doctors

Every provider, their type and where they practice, the workforce side that gives access its human dimension.

What counts as rural

The rural-or-city tag applied to each address, the piece that turns raw locations into an access comparison.

Rural access gaps are easy to assert and hard to measure, because the doctors, the facilities, and the geography live in separate places. Put them together and the deserts have names.

Oshri Cohen · On CMS data
Common questions

What people ask about this.

Why not just use the list of doctors on its own?

The list of doctors tells you who practices where, but it doesn't cover certified facilities or tag anywhere as rural, so on its own it can't give you access. The facility list adds the buildings, and the rural tag adds the geography that turns counts into a real comparison. The value is in combining all three, because access is inherently about providers relative to place.

How is rural versus city decided here?

It comes from applying a standard rural-or-city tag to each address, the same way these comparisons are normally drawn. The tag is applied consistently across all three lists so rural and city mean the same thing on every count. That consistency is what makes the gap comparable across types of doctors and facilities.

How current is the answer?

It stays current on its own. When new information is published, it's already in there, so you're asking against today's picture, not a year-old extract.

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