Literature DB >> 35821864

Predictors of Video versus Audio-Only Telehealth Use among Urological Patients.

Erica Jaiyeola Odukoya1, Juan Andino2,3, Sophia Ng2, Emma Steppe2, Chad Ellimoottil2,3.   

Abstract

Introduction: During the COVID-19 public health emergency, telehealth use grew due to regulatory and reimbursement surrounding the use of video and audio-only visits for the evaluation and management of patients.
Methods: We retrospectively reviewed patients seeking outpatient urological care from April 1, 2020 to June 30, 2020 at a urological tertiary care center. Our study was designed to determine the relative effect of demographic, socioeconomic and geographic variables on the likelihood of using video compared to an audio-only telehealth.
Results: We identified 4,744 unique patients who had a urological telehealth visit. Demographic factors associated with lower probability of utilizing video telehealth were older age (ages >65 years, average marginal effect [AME] -38.3, 95% CI -40.8, -34.7), Black/African American race and American Indian and Alaska Native race (AME -9.7, 95% CI -10.7, -7.1; AME -17.1, 95% CI -18.8, -13.7, respectively), interpreter use (AME -4.5, 95% CI -5, -3.1), Medicaid insurance (AME -13.3, 95% CI -14.8, -9.8), rural residence and living in area with low broadband Internet access (AME -12.8, 95% CI -14.1, -9.1). Conclusions: Forty-four percent of patients used audio-only visits to connect with their urologists. Age, ethnicity, rurality, type of insurance and broadband access all impacted the type of telehealth used to receive urological care. Without coverage and reimbursement of audio-only visits, video telehealth could exacerbate health disparities in access to urological care.

Entities:  

Keywords:  telemedicine

Year:  2022        PMID: 35821864      PMCID: PMC9272980          DOI: 10.1097/UPJ.0000000000000301

Source DB:  PubMed          Journal:  Urol Pract        ISSN: 2352-0779


  7 in total

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Authors:  Ateev Mehrotra; Haiden A Huskamp; Jeffrey Souza; Lori Uscher-Pines; Sherri Rose; Bruce E Landon; Anupam B Jena; Alisa B Busch
Journal:  Health Aff (Millwood)       Date:  2017-05-01       Impact factor: 6.301

2.  Assessment of Disparities in Digital Access Among Medicare Beneficiaries and Implications for Telemedicine.

Authors:  Eric T Roberts; Ateev Mehrotra
Journal:  JAMA Intern Med       Date:  2020-10-01       Impact factor: 21.873

Review 3.  Implicit Racial/Ethnic Bias Among Health Care Professionals and Its Influence on Health Care Outcomes: A Systematic Review.

Authors:  William J Hall; Mimi V Chapman; Kent M Lee; Yesenia M Merino; Tainayah W Thomas; B Keith Payne; Eugenia Eng; Steven H Day; Tamera Coyne-Beasley
Journal:  Am J Public Health       Date:  2015-10-15       Impact factor: 9.308

4.  "Virtually Perfect" for Some but Perhaps Not for All: Launching Telemedicine in the Bronx during the COVID-19 Pandemic.

Authors:  Kara L Watts; Nitya Abraham
Journal:  J Urol       Date:  2020-06-09       Impact factor: 7.450

5.  Telemedicine and the evaluation of cognitive impairment: the additive value of neuropsychological assessment.

Authors:  Kathryn M Harrell; Stacy S Wilkins; Megan K Connor; Joshua Chodosh
Journal:  J Am Med Dir Assoc       Date:  2014-06-07       Impact factor: 4.669

6.  Telemedicine Outpatient Cardiovascular Care During the COVID-19 Pandemic: Bridging or Opening the Digital Divide?

Authors:  Lauren A Eberly; Sameed Ahmed M Khatana; Ashwin S Nathan; Christopher Snider; Howard M Julien; Mary Elizabeth Deleener; Srinath Adusumalli
Journal:  Circulation       Date:  2020-06-08       Impact factor: 39.918

7.  Telemedicine and healthcare disparities: a cohort study in a large healthcare system in New York City during COVID-19.

Authors:  Rumi Chunara; Yuan Zhao; Ji Chen; Katharine Lawrence; Paul A Testa; Oded Nov; Devin M Mann
Journal:  J Am Med Inform Assoc       Date:  2021-01-15       Impact factor: 4.497

  7 in total

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