Evidence map›Paper›PMID 35467963›Full record

ArticleJCO clinical cancer informatics2022

Future of Teleoncology: Trends and Disparities in Telehealth and Secure Message Utilization in the COVID-19 Era.

Elad Neeman, Liisa Lyon, Hongxin Sun, Carol Conell, Mary Reed, Deepika Kumar, Tatjana Kolevska, Dinesh Kotak, Tilak Sundaresan, Raymond Liu

Abstract read
In one paragraph

Article in JCO clinical cancer informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Tele-Oncology Use During the COVID-19 Pandemic: Patient Experiences and Communication Behaviors with Clinicians.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. The unequal burden of time toxicity.Trends in cancer · 2023
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

10 authors.

Elad NeemanSan Francisco Medical Center, Kaiser Permanente Northern California, San Francisco, CA.ORCID 0000-0002-3133-0956
Liisa LyonDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Hongxin SunThe Permanente Medical Group Consulting Services, Oakland, CA.
Carol ConellDivision of Research, Kaiser Permanente Northern California, Oakland, CA.ORCID 0000-0002-1634-0021
Mary ReedDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Deepika KumarSan Francisco Medical Center, Kaiser Permanente Northern California, San Francisco, CA.
Tatjana KolevskaNapa/Solano Medical Center, Kaiser Permanente Northern California, Napa, CA.
Dinesh KotakSan Rafael Medical Center, Kaiser Permanente Northern California, San Rafael CA.ORCID 0000-0003-2837-1455
Tilak SundaresanSan Francisco Medical Center, Kaiser Permanente Northern California, San Francisco, CA.
Raymond LiuSan Francisco Medical Center, Kaiser Permanente Northern California, San Francisco, CA.ORCID 0000-0002-4667-9632

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe COVID-19 pandemic created an imperative to re-examine the role of telehealth in oncology. We studied trends and disparities in utilization of telehealth (video and telephone visits) and secure messaging (SM; ie, e-mail via portal/app), before and during the pandemic.

methodsRetrospective cohort study of hematology/oncology patient visits (telephone/video/office) and SM between January 1, 2019, and September 30, 2020, at Kaiser Permanente Northern California.

resultsAmong 334,666 visits and 1,161,239 SM, monthly average office visits decreased from 10,562 prepandemic to 1,769 during pandemic, telephone visits increased from 5,114 to 8,663, and video visits increased from 40 to 4,666. Monthly average SM increased from 50,788 to 64,315 since the pandemic began. Video visits were a significantly higher fraction of all visits (

conclusionIn the pandemic era, hematology/oncology telehealth and SM use rapidly increased in a manner that is feasible and sustained. Possible disparities existed in video visit and SM use by age, insurance plan, language, race, ethnicity, marital status, comorbidities, and sex.

Indexed as

COVID-19TelemedicineAgedFemaleHumansMaleMedicarePandemicsRetrospective StudiesUnited States

Identifiers

PMID35467963
PMCPMC9067360

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.