Evidence map›Paper›PMID 36395112›Full record

ArticlePloS one2022

Age, race, insurance type, and digital divide index are associated with video visit completion for patients seen for oncologic care in a large hospital system during the COVID-19 pandemic.

Matthew M Cousins, Monica Van Til, Emma Steppe, Sophia Ng, Chandy Ellimoottil, Yilun Sun, Matthew Schipper, Joseph R Evans

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
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  7. Review
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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

8 authors at 1 institution in 1 country.

Matthew M CousinsDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID 0000-0003-0067-9087
Monica Van TilDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, United States of America.
Emma SteppeInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, United States of America.
Sophia NgInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, United States of America.
Chandy EllimoottilInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, United States of America.
Yilun SunDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, United States of America.
Matthew SchipperDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, United States of America.
Joseph R EvansDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, United States of America.
University of Michigan · US

Funding

Improving Video Visit Adoption by SurgeonsK08HS027632 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELLIMOOTTIL, CHANDY SKARIA · 2020 to 2024
$775k
AHRQ HHS K08 HS027632
6 · The paper itself

Abstract

introductionThe COVID-19 pandemic drove rapid adoption of telehealth across oncologic specialties. This revealed barriers to telehealth access and telehealth-related disparities. We explored disparities in telehealth access in patients with cancer accessing oncologic care. MATERIALS/

methodsData for all unique patient visits at a large academic medical center were acquired pre- and intra-pandemic (7/1/2019-12/31/2020), including visit type (in-person, video, audio only), age, race, ethnicity, rural/urban (per zip code by Federal Office of Rural Health Policy), distance from medical facility, insurance, and Digital Divide Index (DDI; incorporates technology/internet access, age, disability, and educational attainment metrics by geographic area). Pandemic phases were identified based on visit dynamics. Multivariable logistic regression models were used to examine associations of these variables with successful video visit completion.

resultsData were available for 2,398,633 visits for 516,428 patients across all specialties. Among these, there were 253,880 visits from 62,172 patients seen in any oncology clinic. Dramatic increases in telehealth usage were seen during the pandemic (after 3/16/2020). In multivariable analyses, patient age [OR: 0.964, (95% CI 0.961, 0.966) P<0.0001], rural zip code [OR: 0.814 (95% CI 0.733, 0.904) P = 0.0001], Medicaid enrollment [OR: 0.464 (95% CI 0.410, 0.525) P<0.0001], Medicare enrollment [OR: 0.822 (95% CI 0.761, 0.888) P = 0.0053], higher DDI [OR: 0.903 (95% CI 0.877, 0.930) P<0.0001], distance from the facility [OR: 1.028 (95% CI 1.021, 1.035) P<0.0001], black race [OR: 0.663 (95% CI 0.584, 0.753) P<0.0001], and Asian race [OR: 1.229 (95% CI 1.022, 1.479) P<0.0001] were associated with video visit completion early in the pandemic. Factors related to video visit completion later in the pandemic and within sub-specialties of oncology were also explored.

conclusionsPatients from older age groups, those with minority backgrounds, and individuals from areas with less access to technology (high DDI) as well as those with Medicare or Medicaid insurance were less likely to use video visits. With greater experience through the pandemic, disparities were not mitigated. Further efforts are required to optimize telehealth to benefit all patients and avoid increasing disparities in care delivery.

Indexed as

COVID-19Digital DivideAgedHospitalsHumansMedicarePandemicsUnited States

Identifiers

PMID36395112
PMCPMC9671352
OpenAlexW4309264233

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.