Evidence map›Paper›PMID 41317103›Full record

ArticleThe Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association2025

A novel approach to incorporate frontier areas into urban-rural geographic classifications: Integrated Metropolitan-to-Frontier Area Codes.

Brody J Gibson, Elizabeth Dobis, John Cromartie, Laurie Grieshober, Cornelia Ulrich, Tracy Onega, Jennifer Doherty

Abstract read
In one paragraph

Article in The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. A novel approach to incorporate frontier areas into urban-rural geographic classifications: Integrated Metropolitan-to-Frontier Area Codes.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Brody J GibsonHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.
Elizabeth DobisRural Economy Branch, Resource and Rural Economics Division, US Department of Agriculture, Economic Research Service, Kansas City, Missouri, USA.ORCID https://orcid.org/0000-0003-1423-2817
John CromartieRural Economy Branch, Resource and Rural Economics Division, US Department of Agriculture, Economic Research Service, Kansas City, Missouri, USA.
Laurie GrieshoberHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.
Cornelia UlrichHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.
Tracy OnegaHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.
Jennifer DohertyHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI KATHARINE S ULLMAN · 1986 to 2026
$72.6M
Huntsman Cancer FoundationNCI NIH HHS P30 CA042014NIH HHS P30CA042014
6 · The paper itself

Abstract

purposeTo develop an urban-rural-frontier classification that integrates urbanicity and geographic remoteness and captures nuances in population and land area distributions invisible in traditional coding schemes, thereby providing a framework to measure health outcomes and access to care across the full urban-to-frontier continuum.

methodsWe created tract-level Integrated Metropolitan-to-Frontier Area Codes (tIMFAC) by combining the US Department of Agriculture's Economic Research Service's Frontier and Remote Area (FAR) codes with Rural-Urban Commuting Area (RUCA) codes, classifying tracts as metropolitan, micropolitan, frontier-micropolitan, small town/rural, and frontier-small town/rural. We compared population and land area distributions and median distances to health care facility types by RUCA, FAR, and tIMFAC, and summarized distances to health care facilities across tIMFAC by Census regions.

findingstIMFAC metropolitan, micropolitan, and small town/rural categories had higher population densities (312, 74, and 27/m

conclusiontIMFAC provides a policy-relevant approach to identifying health differences across the urban-to-frontier continuum, supporting efforts to better understand and address unique rural and frontier health challenges.

Indexed as

Health Services AccessibilityRural PopulationUrban PopulationHumansUnited Statesdistancefrontierhealth accessremotenessrural

Identifiers

PMID41317103
PMCPMC12664327

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.