Evidence map›Paper›PMID 37207168›Full record

ArticleAdvances in radiation oncology

Associations With Virtual Visit Use Among Patients Receiving Radiation Therapy.

Shivani Sud, Xianming Tan, Sarah S Tatko, Deen Gu, Stephen Harris, Colette Shen, Jennifer Elston Lafata, Shekinah N C Elmore, Trevor J Royce

Abstract read
In one paragraph

Article in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Shivani SudDepartment of Radiation Oncology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina.
Xianming TanDepartment of Radiation Oncology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina.
Sarah S TatkoDepartment of Radiation Oncology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina.
Deen GuDepartment of Radiation Oncology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina.
Stephen HarrisDepartment of Radiation Oncology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina.
Colette ShenDepartment of Radiation Oncology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina.
Jennifer Elston LafataLineberger Comprehensive Cancer Center, University of North Carolina Hospitals, Chapel Hill, North Carolina.
Shekinah N C ElmoreDepartment of Radiation Oncology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina.
Trevor J RoyceFlatiron Health, New York, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The objective of this study was to test for patient characteristics associated with virtual versus office visits among radiation oncology patients. Methods and Materials: Using the electronic health record, we extracted encounter data and corresponding patient information for the 6 months before and 6 months of COVID-19-enabled virtual visits (October 1, 2019, to March 22, 2020 vs March 23, 2020, to September 1, 2020) at a National Cancer Institute-Designated Cancer Center. Encounters during COVID-19 were categorized as in-person or virtual visits. We compared patient demographic variables including race, age, sex, marital status, preferred language, insurance status, and tumor type during the pre-COVID-19 period as a baseline versus during the COVID-19 period. Multivariable analyses examined associations between these variables and virtual visit use. Results: We analyzed 4974 total encounters (2287 before COVID-19 and 2687 during COVID-19) for 3960 unique patients. All (100%) pre-COVID-19 encounters were in-person. During COVID-19, 21% of encounters were via virtual visits. There were no differences identified in pre- versus during-COVID-19 patient characteristics. However, we found significant differences in patient characteristics for in-person versus virtual encounters during COVID-19. On multivariable analysis, virtual visit use was less common among patients who were Black versus White (odds ratio [OR], 0.75; 95% CI, 0.57-0.99; Conclusions: We found significant differences in virtual visit use by patient sociodemographic and clinical characteristics. Further investigation into implications of differential virtual visit use including social and structural determinants and subsequent clinical outcomes is indicated.

Identifiers

PMID37207168
PMCPMC10189086

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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.