Evidence map›Paper›PMID 34264741›Full record

ArticleJCO oncology practice2021

Oncologist Perspectives on Telemedicine for Patients With Cancer: A National Comprehensive Cancer Network Survey.

Amye J Tevaarwerk, Thevaa Chandereng, Travis Osterman, Waddah Arafat, Jeffrey Smerage, Fernanda C G Polubriaginof, Tricia Heinrichs, Jessica Sugalski, Daniel B Martin

Open access · greenAbstract read
In one paragraph

Article in JCO oncology practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.7field-weighted citation impact, top 5% of its field
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

36 citing papers in PubMed, 49 citations in OpenAlex.

  1. Observational
  2. Article
  3. Trends in Telemedicine at a Cancer Center: Analyzing Sustained Use.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  4. Article
  5. Opportunities for Home Cancer Care: The Final Frontier.NEJM catalyst innovations in care delivery · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. What Is Ailing Oncology Clinical Trials? Can We Fix Them?Current oncology (Toronto, Ont.) · 2024
    Review
  14. Transforming patient-centered cancer care using telehealth: the MATCHES Center.Journal of the National Cancer Institute. Monographs · 2024
    Article
  15. Article
  16. Article
  17. Article
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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

9 authors at 8 institutions in 1 country.

Amye J TevaarwerkUniversity of Wisconsin, Madison, WI.ORCID 0000-0002-8087-5119
Thevaa ChanderengColumbia University, New York, NY.ORCID 0000-0003-4078-9176
Travis OstermanVanderbilt-Ingram Cancer Center, Nashville, TN.ORCID 0000-0002-2841-8121
Waddah ArafatSimmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0002-6057-2348
Jeffrey SmerageRogel Comprehensive Cancer Center, University of Michigan; Ann Arbor, MI.ORCID 0000-0001-9130-9342
Fernanda C G PolubriaginofMemorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-2355-2556
Tricia HeinrichsNational Comprehensive Cancer Network, Plymouth Meeting, PA.ORCID 0000-0003-2584-5619
Jessica SugalskiNational Comprehensive Cancer Network, Plymouth Meeting, PA.ORCID 0000-0002-2841-290X
Daniel B MartinUniversity of Washington Medical Center, Seattle, WA.ORCID 0000-0001-8693-6528
National Comprehensive Cancer NetworkColumbia University · USMemorial Sloan Kettering Cancer Center · USThe University of Texas Southwestern Medical Center · USUniversity of Michigan · USUniversity of Washington Medical Center · USUniversity of Wisconsin–Madison · USVanderbilt University · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Justine Yang Bruce · 1985 to 2026
$142.6M
NCI NIH HHS P30 CA014520
6 · The paper itself

Abstract

purposeThe use of telemedicine expanded dramatically in March 2020 following the COVID-19 pandemic. We sought to assess oncologist perspectives on telemedicine's present and future roles (both phone and video) for patients with cancer.

methodsThe National Comprehensive Cancer Network (NCCN) Electronic Health Record (EHR) Oncology Advisory Group formed a Workgroup to assess the state of oncology telemedicine and created a 20-question survey. NCCN EHR Oncology Advisory Group members e-mailed the survey to providers (surgical, hematology, gynecologic, medical, and radiation oncology physicians and clinicians) at their home institution.

resultsProviders (N = 1,038) from 26 institutions responded in Summer 2020. Telemedicine (phone and video) was compared with in-person visits across clinical scenarios (n = 766). For reviewing benign follow-up data, 88% reported video and 80% reported telephone were the same as or better than office visits. For establishing a personal connection with patients, 24% and 7% indicated video and telephone, respectively, were the same as or better than office visits. Ninety-three percent reported adverse outcomes attributable to telemedicine visits never or rarely occurred, whereas 6% indicated they occasionally occurred (n = 801). Respondents (n = 796) estimated 46% of postpandemic visits could be virtual, but challenges included (1) lack of patient access to technology, (2) inadequate clinical workflows to support telemedicine, and (3) insurance coverage uncertainty postpandemic.

conclusionTelemedicine appears effective across a variety of clinical scenarios. Based on

Indexed as

COVID-19NeoplasmsOncologistsTelemedicineFemaleHumansPandemicsSARS-CoV-2Surveys and Questionnaires

Identifiers

PMID34264741
PMCPMC9810123
OpenAlexW3182392900

What OpenQuestion holds

Textmetadata
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.