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Disparities in Telemedicine Utilization for Urology Patients During the COVID-19 Pandemic
OBJECTIVE: To determine the odds of accessing telemedicine either by phone or by video during the COVID-19 pandemic. METHODS: We 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 prim...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719918/ https://www.ncbi.nlm.nih.gov/pubmed/34979219 http://dx.doi.org/10.1016/j.urology.2021.11.037 |
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author | Javier-DesLoges, Juan Meagher, Margaret Soliman, Shady Yuan, Julia Hakimi, Kevin Ghali, Fady Nalawade, Vinit Patel, Devin N. Monga, Manoj Murphy, James D. Derweesh, Ithaar |
author_facet | Javier-DesLoges, Juan Meagher, Margaret Soliman, Shady Yuan, Julia Hakimi, Kevin Ghali, Fady Nalawade, Vinit Patel, Devin N. Monga, Manoj Murphy, James D. Derweesh, Ithaar |
author_sort | Javier-DesLoges, Juan |
collection | PubMed |
description | OBJECTIVE: To determine the odds of accessing telemedicine either by phone or by video during the COVID-19 pandemic. METHODS: We 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. RESULTS: We 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). CONCLUSION: We 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. |
format | Online Article Text |
id | pubmed-8719918 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87199182022-01-03 Disparities in Telemedicine Utilization for Urology Patients During the COVID-19 Pandemic Javier-DesLoges, Juan Meagher, Margaret Soliman, Shady Yuan, Julia Hakimi, Kevin Ghali, Fady Nalawade, Vinit Patel, Devin N. Monga, Manoj Murphy, James D. Derweesh, Ithaar Urology Mens Health OBJECTIVE: To determine the odds of accessing telemedicine either by phone or by video during the COVID-19 pandemic. METHODS: We 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. RESULTS: We 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). CONCLUSION: We 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. Published by Elsevier Inc. 2022-05 2022-01-01 /pmc/articles/PMC8719918/ /pubmed/34979219 http://dx.doi.org/10.1016/j.urology.2021.11.037 Text en © 2021 Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Mens Health Javier-DesLoges, Juan Meagher, Margaret Soliman, Shady Yuan, Julia Hakimi, Kevin Ghali, Fady Nalawade, Vinit Patel, Devin N. Monga, Manoj Murphy, James D. Derweesh, Ithaar Disparities in Telemedicine Utilization for Urology Patients During the COVID-19 Pandemic |
title | Disparities in Telemedicine Utilization for Urology Patients During the COVID-19 Pandemic |
title_full | Disparities in Telemedicine Utilization for Urology Patients During the COVID-19 Pandemic |
title_fullStr | Disparities in Telemedicine Utilization for Urology Patients During the COVID-19 Pandemic |
title_full_unstemmed | Disparities in Telemedicine Utilization for Urology Patients During the COVID-19 Pandemic |
title_short | Disparities in Telemedicine Utilization for Urology Patients During the COVID-19 Pandemic |
title_sort | disparities in telemedicine utilization for urology patients during the covid-19 pandemic |
topic | Mens Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719918/ https://www.ncbi.nlm.nih.gov/pubmed/34979219 http://dx.doi.org/10.1016/j.urology.2021.11.037 |
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