Evidence map›Paper›PMID 35821496›Full record

ArticleThe Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association2023

The interaction of rurality and rare cancers for travel time to cancer care.

Tracy Onega, Jennifer Alford-Teaster, Chris Leggett, Andrew Loehrer, Julie E Weiss, Erika L Moen, Catherine C Pollack, Fahui Wang

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, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  5. Article
  6. Travel burden and bypassing closest site for surgical cancer treatment for urban and rural oncology patients.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
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  7. Article
  8. Article
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  10. Article
  11. Reporting time toxicity in prospective cancer clinical trials: A scoping review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  12. 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

8 authors.

Tracy OnegaDepartment of Population Health Sciences and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0002-1633-3040
Jennifer Alford-TeasterNorris Cotton Cancer Center at Dartmouth, Lebanon, New Hampshire, USA.ORCID 0000-0002-2600-446X
Chris LeggettThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, New Hampshire, USA.
Andrew LoehrerThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, New Hampshire, USA.
Julie E WeissNorris Cotton Cancer Center at Dartmouth, Lebanon, New Hampshire, USA.
Erika L MoenThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, New Hampshire, USA.
Catherine C PollackDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Fahui WangGraduate School and Department of Geography & Anthropology, Louisiana State University, Baton Rouge, Louisiana, USA.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Automated Delineation of Cancer Service AreasR21CA212687 · NCI · DARTMOUTH COLLEGE · PI ONEGA, TRACY, WANG, FAHUI · 2017 to 2018
$392k
NCI NIH HHS P30 CA023108NCI NIH HHS R21 CA212687
6 · The paper itself

Abstract

purposeGeographic access to cancer care is known to significantly impact utilization and outcomes. Longer travel times have negative impacts for patients requiring highly specialized care, such as for rare cancers, and for those in rural areas. Scant population-based research informs geographic access to care for rare cancers and whether rurality impacts that access.

methodsUsing Medicare data (2014-2015), we identified prevalent cancers and cancer-directed surgeries, chemotherapy, and radiation. We classified cancers as rare (incidence <6/100,000/year) or common (incidence ≥6/100,000/year) using previously published thresholds and categorized rurality from ZIP code of beneficiary residence. We estimated travel time between beneficiaries and providers for each service based on ZIP code. Descriptive statistics summarized travel time by rare versus common cancers, service type, and rurality.

findingsWe included 1,169,761 Medicare beneficiaries (21.9% in nonmetropolitan areas), 87,399; 7.5% had rare cancers, with 9,133,003 cancer-directed services. Travel times for cancer services ranged from approximately 29 minutes (25th percentile) to 68 minutes (75th percentile). Travel times were similar for rare and common cancers overall (median: 45 vs 43 minutes) but differed by service type; 13.4% of surgeries were >2 hours away for rare cancers, compared to 8.3% for common cancers. Increasing rurality disproportionately increased travel time to surgical care for rare compared to common cancers.

conclusionsTravel times to cancer services are longest for surgery, especially among rural residents, yet not markedly longer overall between rare versus common cancers. Understanding geographic access to cancer care for patients with rare cancers is important to delivering specialized care.

Indexed as

Health Services AccessibilityNeoplasmsAgedHumansMedicareRural PopulationTime FactorsTravelUnited Statesgeographic accessrare cancersruralitytravel time

Identifiers

PMID35821496
PMCPMC10801702

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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.