Evidence map›Paper›PMID 35689108›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2022

Determinants of telemedicine adoption among financially distressed patients with cancer during the COVID-19 pandemic: insights from a nationwide study.

Abbas M Hassan, Carrie K Chu, Jun Liu, Rebekah Angove, Gabrielle Rocque, Kathleen D Gallagher, Adeyiza O Momoh, Nicole E Caston, Courtney P Williams, Stephanie Wheeler and 2 more

Abstract read
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Trends in Telemedicine at a Cancer Center: Analyzing Sustained Use.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
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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

12 authors.

Abbas M HassanDepartment of Plastic & Reconstructive Surgery, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., Unit 1488, Houston, TX, 77030, USA.
Carrie K ChuDepartment of Plastic & Reconstructive Surgery, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., Unit 1488, Houston, TX, 77030, USA.
Jun LiuDepartment of Plastic & Reconstructive Surgery, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., Unit 1488, Houston, TX, 77030, USA.
Rebekah AngovePatient Advocate Foundation, Hampton, VA, USA.
Gabrielle RocqueDivision of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Kathleen D GallagherPatient Advocate Foundation, Hampton, VA, USA.
Adeyiza O MomohSection of Plastic Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI, USA.
Nicole E CastonDivision of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Courtney P WilliamsDivision of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Stephanie WheelerDepartment of Health Policy and Management, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Charles E ButlerDepartment of Plastic & Reconstructive Surgery, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., Unit 1488, Houston, TX, 77030, USA.
Anaeze C OffodileDepartment of Plastic & Reconstructive Surgery, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., Unit 1488, Houston, TX, 77030, USA. ACOffodile@mdanderson.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTelemedicine use during the COVID-19 pandemic among financially distressed patients with cancer, with respect to the determinants of adoption and patterns of utilization, has yet to be delineated. We sought to systematically characterize telemedicine utilization in financially distressed patients with cancer during the COVID-19 pandemic.

methodsWe conducted a cross-sectional analysis of nationwide survey data assessing telemedicine use in patients with cancer during the COVID-19 pandemic collected by Patient Advocate Foundation (PAF) in December 2020. Patients were characterized as financially distressed by self-reporting limited financial resources to manage out-of-pocket costs, psychological distress, and/or adaptive coping behaviors. Primary study outcome was telemedicine utilization during the pandemic. Secondary outcomes were telemedicine utilization volume and modality preferences. Multivariable and Poisson regression analyses were used to identify factors associated with telemedicine use.

resultsA convenience sample of 627 patients with cancer responded to the PAF survey. Telemedicine adoption during the pandemic was reported by 67% of patients, with most (63%) preferring video visits. Younger age (19-35 age compared to ≥ 75 age) (OR, 6.07; 95% CI, 1.47-25.1) and more comorbidities (≥ 3 comorbidities compared to cancer only) (OR, 1.79; 95% CI, 1.13-2.65) were factors associated with telemedicine adoption. Younger age (19-35 years) (incidence rate ratios [IRR], 1.78; 95% CI, 24-115%) and higher comorbidities (≥ 3) (IRR; 1.36; 95% CI, 20-55%) were factors associated with higher utilization volume. As area deprivation index increased by 10 units, the number of visits decreased by 3% (IRR 1.03, 95% CI, 1.03-1.05).

conclusionsThe rapid adoption of telemedicine may exacerbate existing inequities, particularly among vulnerable financially distressed patients with cancer. Policy-level interventions are needed for the equitable and efficient provision of this service.

Indexed as

COVID-19NeoplasmsTelemedicineAdultCross-Sectional StudiesHumansPandemicsYoung AdultAdoptionCancerCOVID-19Financial distressPandemicTelehealthTelemedicineToxicityUtilization

Identifiers

PMID35689108
PMCPMC9187333

What OpenQuestion holds

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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.