2021
DOI: 10.1177/1357633x211025939
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Demographics associated with US healthcare disparities are exacerbated by the telemedicine surge during the COVID-19 pandemic

Abstract: Introduction As coronavirus disease 2019 (COVID-19) hit the US, there was widespread and urgent implementation of telemedicine programs nationwide without much focus on the impact on patient populations with known existing healthcare disparities. To better understand which populations cannot access telemedicine during the coronavirus disease 2019 pandemic, this study aims to demographically describe and identify the most important demographic predictors of telemedicine visit completion in an urban health syste… Show more

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Cited by 29 publications
(35 citation statements)
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“…These findings corroborate studies in other medical fields, demonstrating the prevalence of inequitable telemedicine access across specialties and patient populations. 3 , 4 , 5 , 6 …”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…These findings corroborate studies in other medical fields, demonstrating the prevalence of inequitable telemedicine access across specialties and patient populations. 3 , 4 , 5 , 6 …”
Section: Discussionmentioning
confidence: 99%
“… 1 , 2 However, there is growing concern that telemedicine may contribute to health disparities, evidenced by studies in multiple specialties showing that virtual visits were more likely to be utilized by patients who were White, English speaking, and commercially insured. 3 , 4 , 5 , 6 …”
Section: Introductionmentioning
confidence: 99%
“…It is of prime importance that public health communication with a specific audience employ adapted and personalized language that considers personal opinions and fears [ 35 ]. The telehealth and telemedicine adoption rates vary among different populations for several reasons, so these campaigns should address specific social and cultural determinants for each targeted subpopulation [ 42 , 83 , 84 ].…”
Section: Discussionmentioning
confidence: 99%
“…Decision trees are an easy-to-understand model comprising a set of cascading questions overcoming Simpson’s paradox [ 41 ] by disclosing nonlinear interactions between predictors. This allows a better comprehension of the main variables involved in the intended use of telemedicine after the COVID-19 pandemic [ 42 ].…”
Section: Methodsmentioning
confidence: 99%
“…If not proactively addressed, these disparities may preclude equitable access to teleneurology services across diverse populations and potentially exacerbate pre-existing health care inequalities, particularly among underserved minority populations, elderly patients, and patients with low health literacy or digital literacy. 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 It is estimated that over one in four Americans lack access to requisite technologies or digital literacy to engage in telemedicine visits, raising concerns that patients who are most vulnerable and in need of enhanced health care access may be the ones who are least likely to benefit from the advent of telemedicine technologies. 90 These issues are further magnified in considering access to teleneurology in less developed countries.…”
Section: Justice and Equity In Teleneurologymentioning
confidence: 99%