Evidence map›Paper›PMID 38265919›Full record

ArticleCancer journal (Sudbury, Mass.)

Telehealth in Cancer Care: Inequities, Barriers, and Opportunities.

Ana Maria Lopez

Open access · greenAbstract read
In one paragraph

Article in Cancer journal (Sudbury, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Telehealth service use in people with cancer compared to people without cancer: analysis of Patient Experience Surveys in Australia.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
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

1 author at 1 institution in 1 country.

Ana Maria LopezFrom Thomas Jefferson University, Philadelphia, PA.
Thomas Jefferson University · US

Funding

X-Ray Crystallography and Macromolecular CharacterizationP30CA056036 · NCI · THOMAS JEFFERSON UNIVERSITY · PI DANIEL P SILVER · 1995 to 2026
$94.8M
NCI NIH HHS P30 CA056036
6 · The paper itself

Abstract

abstractTelecommunications technology began to be integrated into health care delivery by the mid-1900s, with the goal of increasing access to care including access to cancer care.There have been at least 3 significant telehealth expansion periods, with the most recent related to the COVID-19 pandemic. Technology uptake increased in the 1990s as quality improved, costs came down, and usability factors were addressed. As telehealth practice transitioned to use of personal devices, the COVID-19 pandemic arose, and necessity compelled widespread telehealth uptake. Most patients and clinicians entered the pandemic with little if any telehealth experience and often no training on using personal devices to access health care. Teleoncology data reveal cancer care feasibility and acceptability with generally high levels of satisfaction for both patients and clinicians. Sustaining the progress made in telehealth uptake requires ongoing insurance coverage with parity in coverage, licensure facilitation, and ongoing development of technology that is easy to use. In addition, to tele-cancer care appointments, the technology may be used for care coordination, education, and increased access to cancer clinical trials.

Indexed as

COVID-19NeoplasmsTelemedicineFemaleHumansInsurance CoveragePandemicsPregnancy

Identifiers

PMID38265919
PMCPMC10904017
OpenAlexW4391179317

What OpenQuestion holds

Textmetadata
LicenceTDM
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.