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      Characteristics of Telehealth Users in NYC for COVID-related Care during the Coronavirus Pandemic

      brief-report

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          Abstract

          The response to COVID-19 has involved an unprecedented expansion in telehealth. While older Americans and minority populations among others are known to be disadvantaged by the digital divide, few studies have examined disparities in telehealth specifically, and none during COVID-19. This study uses data from a large health system in NYC – the initial epicenter of the US crisis – to describe characteristics of patients seeking COVID-related care via telehealth, ER, or office encounters during the peak pandemic period. Demographic factors are significantly predictive of encounter type. Of any age group, patients 65+ had the lowest odds of using telehealth versus other modalities. By race and ethnicity, Black and Hispanic patients have lower odds of using telehealth versus either the ER or an office visit than either Whites or Asians – this remains true even after adjusting for age, comorbidities and preferred language. Additional research into sociodemographic heterogeneity in telehealth use is needed to prevent potentially further exacerbating health disparities overall.

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          Author and article information

          Journal
          J Am Med Inform Assoc
          J Am Med Inform Assoc
          jamia
          Journal of the American Medical Informatics Association : JAMIA
          Oxford University Press
          1067-5027
          1527-974X
          31 August 2020
          : ocaa216
          Affiliations
          Department of Population Health Sciences and Policy, One Gustave L. Levy Place , Box 1077, New York, NY
          Author notes
          Article
          ocaa216
          10.1093/jamia/ocaa216
          7499577
          32866249
          7005efd6-f25c-4984-be64-570c93a68706
          © The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com

          This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

          This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

          History
          : 17 June 2020
          : 21 July 2020
          : 14 August 2020
          : 17 August 2020
          Page count
          Pages: 16
          Categories
          Brief Communication
          AcademicSubjects/MED00580
          AcademicSubjects/SCI01060
          AcademicSubjects/SCI01530
          Custom metadata
          accepted-manuscript
          PAP

          Bioinformatics & Computational biology
          telehealth,telemedicine,healthcare disparities,healthcare delivery

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