Evidence map›Paper›PMID 39976577›Full record

ArticleHealth services research2026

Identifying Barriers to Being Offered and Accepting a Telehealth Visit for Cancer Care: Unpacking the Multi-Levels of Documented Racial Disparities in Telehealth Use.

Matthew R Dunn, Ilona Fridman, Alan C Kinlaw, Christine Neslund-Dudas, Samantha Tam, Jennifer Elston Lafata

Abstract read
In one paragraph

Article in Health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Matthew R DunnDepartment of Epidemiology, Gillings Global School of Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0001-7618-4983
Ilona FridmanLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA.
Alan C KinlawDivision of Pharmaceutical Outcomes and Policy, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0002-4279-8685
Christine Neslund-DudasDepartment of Public Health Sciences, Henry Ford Health, Detroit, Michigan, USA.
Samantha TamDepartment of Public Health Sciences, Henry Ford Health, Detroit, Michigan, USA.
Jennifer Elston LafataLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0002-8550-6195

Funding

Cancer Care Quality Training ProgramT32CA116339 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ETHAN M. BASCH, Stephanie Brooke Wheeler · 2018 to 2026
$3.0M
Genentech FoundationNCI NIH HHS T32 CA116339The National Cancer Institute's National Research Service Award sponsored by the Lineberger Comprehensive Cancer Center at the University of North Carolina T32CA116339
6 · The paper itself

Abstract

objectiveTo evaluate patient- and area-level factors in relation to telehealth visit use in cancer care. STUDY SETTING AND

designWe surveyed a cohort of adults with an upcoming healthcare visit related to their cancer treatment at two academic medical centers (one in central North Carolina and one in southeast Michigan) and their community affiliates. Black adults and those with a scheduled telehealth visit were purposively oversampled during recruitment. We linked respondent residential addresses to area-level measures, including broadband access. The two patient-reported outcomes of interest were (1) whether a choice in visit type (virtual or in-person) was offered and (2) scheduled visit type. DATA SOURCES AND ANALYTIC SAMPLE: We assembled a cohort of 773 adults (response rate = 15%). After excluding nonrecall for being offered a choice, the analytic sample was 725 adults. PRINCIPAL

findingsThe sample was 46% aged < 65 years, 42% Black, and 67% women. Black respondents were less likely than non-Black respondents to be offered a choice, 15% versus 23%, prevalence difference (PD) and 95% CI = (-8.7%, CI: -14.4, -3.0) and if offered a choice, less likely to accept a telehealth visit (20% vs. 67%; PD = -47.0%, CI: -62.0, -32.0). Compared to men, women had a lower frequency of visit choice (16% vs. 27%; PD = -10.9%. CI: -17.4, -4.4) and accepted telehealth visits (42% vs. 63%; PD = -20.8%, CI: -36.8, -4.7). Respondents who expressed technology-related worries were less likely to accept a telehealth visit. Lower area-level technology access (e.g., broadband ownership) and higher poverty were nonsignificantly associated with less offering and less scheduling of telehealth visits.

conclusionsInterventions to improve access to telehealth in cancer care and mitigate structural inequities (namely racism and sexism) should consider patient- and area-level barriers to being offered a choice in visit type and the ability to accept a telehealth visit.

Indexed as

Black or African AmericanHealthcare DisparitiesHealth Services AccessibilityNeoplasmsPatient Acceptance of Health CareTelemedicineAdultAgedFemaleHumansMaleMichiganMiddle AgedNorth CarolinaSocioeconomic FactorsWhitecohort studyequityoncologytelemedicinevirtual visits

Identifiers

PMID39976577
PMCPMC12967912

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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.