Evidence map›Paper›PMID 34979219›Full record

ReviewUrology2022

Disparities in Telemedicine Utilization for Urology Patients During the COVID-19 Pandemic.

Juan Javier-DesLoges, Margaret Meagher, Shady Soliman, Julia Yuan, Kevin Hakimi, Fady Ghali, Vinit Nalawade, Devin N Patel, Manoj Monga, James D Murphy and 1 more

Abstract readReview
In one paragraph

Review in Urology, 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
–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

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

  1. Pooled it
  2. Article
  3. Article
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  5. Review
  6. Article
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  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Juan Javier-DesLogesDepartment of Urology, UC San Diego School of Medicine, La Jolla, CA.
Margaret MeagherDepartment of Urology, UC San Diego School of Medicine, La Jolla, CA.
Shady SolimanDepartment of Urology, UC San Diego School of Medicine, La Jolla, CA.
Julia YuanDepartment of Urology, UC San Diego School of Medicine, La Jolla, CA.
Kevin HakimiDepartment of Urology, UC San Diego School of Medicine, La Jolla, CA.
Fady GhaliDepartment of Urology, UC San Diego School of Medicine, La Jolla, CA.
Vinit NalawadeDepartment of Radiation Medicine and Applied Sciences, UC San Diego School of Medicine, La Jolla, CA.
Devin N PatelDepartment of Urology, UC San Diego School of Medicine, La Jolla, CA.
Manoj MongaDepartment of Urology, UC San Diego School of Medicine, La Jolla, CA.
James D MurphyDepartment of Radiation Medicine and Applied Sciences, UC San Diego School of Medicine, La Jolla, CA.
Ithaar DerweeshDepartment of Urology, UC San Diego School of Medicine, La Jolla, CA. Electronic address: iderweesh@ucsd.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the odds of accessing telemedicine either by phone or by video during the COVID-19 pandemic.

methodsWe performed a retrospective study of patients who were seen at a single academic institution for a urologic condition between March 15, 2020 and September 30, 2020. The primary outcome was to determine characteristics associated with participating in a telemedicine appointment (video or telephone) using logistic regression multivariable analysis. We used a backward model selection and variables that were least significant were removed. We adjusted for reason for visit, patient characteristics such as age, sex, ethnicity, race, reason for visit, preferred language, and insurance. Variables that were not significant that were removed from our final model included median income estimated by zip code, clinic location, provider age, provider sex, and provider training.

resultsWe reviewed 4234 visits: 1567 (37%) were telemedicine in the form of video 1402 (33.1%) or telephone 164 (3.8%). The cohort consisted of 2516 patients, Non-Hispanic White (n = 1789, 71.1%) and Hispanic (n = 417, 16.6%). We performed multivariable logistic regression analysis and demonstrated that patients who were Hispanic, older, or had Medicaid insurance were significantly less likely to access telemedicine during the pandemic. We did not identify differences in telemedicine utilization when stratifying providers by their age, sex, or training type (physician or advanced practice provider).

conclusionWe conclude that there are differences in the use of telemedicine and that this difference may compound existing disparities in care. Additionally, we identified that these differences were not associated with provider attributes. Further study is needed to overcome barriers in access to telemedicine.

Indexed as

COVID-19TelemedicineUrologyHumansPandemicsRetrospective Studies

Identifiers

PMID34979219
PMCPMC8719918

What OpenQuestion holds

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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.