Evidence map›Paper›PMID 38630957›Full record

ArticleJCO clinical cancer informatics2024

Integration of Telemedicine Consultation Into a Tertiary Radiation Oncology Department: Predictors of Use, Treatment Yield, and Effects on Patient Population.

Yasamin Sharifzadeh, William G Breen, William S Harmsen, Adam C Amundson, Allison E Garda, David M Routman, Mark R Waddle, Kenneth W Merrell, Christopher L Hallemeier, Nadia N Laack and 2 more

Abstract read
In one paragraph

Article in JCO clinical cancer informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yasamin SharifzadehDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.ORCID 0000-0003-3269-3107
William G BreenDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.ORCID 0000-0001-8039-2398
William S HarmsenDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN.
Adam C AmundsonDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.
Allison E GardaDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-2170-5427
David M RoutmanDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-2768-003X
Mark R WaddleDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-6017-8850
Kenneth W MerrellDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-3831-5644
Christopher L HallemeierDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-3598-6709
Nadia N LaackDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-4385-6349
Anantha KollengodeDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.
Kimberly S CorbinDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe COVID-19 pandemic led to rapid expansion of telemedicine. The implications of telemedicine have not been rigorously studied in radiation oncology, a procedural specialty. This study aimed to evaluate the characteristics of in-person patients (IPPs) and virtual patients (VPs) who presented to a large cancer center before and during the pandemic and to understand variables affecting likelihood of receiving radiotherapy (yield) at our institution.

methodsA total of 17,915 patients presenting for new consultation between 2019 and 2021 were included, stratified by prepandemic and pandemic periods starting March 24, 2020. Telemedicine visits included video and telephone calls. Area deprivation indices (ADIs) were also compared.

resultsThe overall population was 56% male and 93% White with mean age of 63 years. During the pandemic, VPs accounted for 21% of visits, were on average younger than their in-person (IP) counterparts (63.3 years IP

conclusionPatient characteristics and yield were significantly different between IPPs and VPs. Telemedicine increased reach to patients further away from clinic, including from rural or health care-deprived areas, allowing access to specialized radiation oncology care. Telemedicine has the potential to increase the reach of other technical and procedural specialties.

Indexed as

Radiation OncologyTelemedicineAmbulatory Care FacilitiesFemaleHumansIfosfamideMaleMiddle AgedPandemicsReferral and ConsultationIfosfamide

Identifiers

PMID38630957
PMCPMC11161230

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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.