Evidence map›Paper›PMID 41839934›Full record

ArticleScientific data2026

Telehealth Infrastructure for Cancer Care in the United States.

Lingbo Liu, Tracy Onega, Erika L Moen, Anna N A Tosteson, Rebecca E Smith, Qianfei Wang, Lauren Cowan, Fahui Wang

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Lingbo LiuCenter for Geographic Analysis, Harvard University, Cambridge, MA, USA.
Tracy OnegaHuntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA. Tracy.Onega@hci.utah.edu.
Erika L MoenDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Anna N A TostesonThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Rebecca E SmithThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Qianfei WangThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Lauren CowanHuntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
Fahui WangDepartment of Geography and Anthropology, Louisiana State University, Baton Rouge, LA, USA. fwang@lsu.edu.

Funding

Access, Utilization and Outcomes of Cancer Services in the Era of TelemedicineR01CA267990 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Tracy Onega, Fahui Wang · 2022 to 2026
$1.8M
National Science Foundation 1841403NIH HHS R01CA267990
6 · The paper itself

Abstract

Telehealth can reduce travel barriers to oncology, yet its impact depends on both digital connectivity and the geography of care. We present an open, reusable dataset that characterizes two critical components of telehealth infrastructure for cancer care, accessible oncologists and sufficient and affordable internet, at the ZIP Code Tabulation Area level across the United States. The resource integrates population-weighted fixed broadband measures and 5G coverage, internet subscription as an affordability proxy, geocoded oncologist practice sites with full-time-equivalent capacity, and a national origin-destination matrix of road travel times. From these inputs we compute spatial accessibility for in-person care by two-step floating catchment area method (2SFCA) and telehealth-enabled care by two-step virtual catchment area method (2SVCA) at 45-120-minute thresholds. We support transparency by releasing the source and intermediate indicators, the final accessibility scores, and a replicable 2SFCA/2SVCA workflow. Anticipated uses include benchmarking infrastructure across states and metropolitan areas, analyses of disparities by rurality and area deprivation, subsidy simulations, and rapid replication in new diseases or providers contexts.

Indexed as

NeoplasmsTelemedicineHealth Services AccessibilityHumansUnited States

Identifiers

PMID41839934
PMCPMC13260728

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.