2020
DOI: 10.1177/1357633x20963893
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Disparities in the use of telehealth at the onset of the COVID-19 public health emergency

Abstract: Introduction The coronavirus disease 2019 (COVID-19) pandemic resulted in an unprecedented expansion in telehealth, but little is known about differential use of telehealth according to demographics, rurality, or insurance status. Methods We performed a cross-sectional analysis of 7742 family medicine encounters at a single USA institution in the initial month of the COVID-19 public health emergency (PHE). We compared the demographics of those using telehealth during the PHE to those with face-to-face visits d… Show more

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Cited by 199 publications
(223 citation statements)
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“…Studies that were conducted prior to the expansion of telemedicine use in response to the COVID-19 pandemic have reported that younger patients are more likely to use telemedicine, whereas these studies showed mixed results regarding the disparities by area income level and urbanicity of residence. Studies that were conducted after the COVID-19 pandemic found that telemedicine use overall [ 41 , 45 , 46 ] and for geriatric care [ 21 ], primary care [ 19 , 22 , 47 ], or otolaryngological care [ 23 ] was concentrated among younger individuals living in urban high-income areas. Yet, the timeframe used in these studies represented only one early point in the COVID-19 pandemic, and the studies did not focus on the change over time of age and social disparities in telemedicine use.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Studies that were conducted prior to the expansion of telemedicine use in response to the COVID-19 pandemic have reported that younger patients are more likely to use telemedicine, whereas these studies showed mixed results regarding the disparities by area income level and urbanicity of residence. Studies that were conducted after the COVID-19 pandemic found that telemedicine use overall [ 41 , 45 , 46 ] and for geriatric care [ 21 ], primary care [ 19 , 22 , 47 ], or otolaryngological care [ 23 ] was concentrated among younger individuals living in urban high-income areas. Yet, the timeframe used in these studies represented only one early point in the COVID-19 pandemic, and the studies did not focus on the change over time of age and social disparities in telemedicine use.…”
Section: Discussionmentioning
confidence: 99%
“…A study conducted at four clinics in San Francisco reported that the proportion of primary care visits with minority patients aged ≥65 years decreased after telemedicine implementation [19]. Other studies conducted in the United States have found that telemedicine during COVID-19 was concentrated among younger individuals living in urban areas with higher SES [20][21][22][23]. Yet, these findings show disparities only at one point in the COVID-19 pandemic, and evidence is limited as to how disparities in telemedicine use by age and SES changed as the need for telemedicine persisted during the COVID-19 pandemic.…”
Section: Introductionmentioning
confidence: 99%
“…Other investigators have identified concerns regarding disparities in access to telehealth with particular attention to vulnerable populations. 6,7 Lam et al estimated that 13 million seniors (38%) were not ready for video visits, predominantly owing to inexperience with technology, and an additional 20% of older patients were unready for telephone visits because of difficulty hearing, difficulty communicating, or dementia. 8 The high levels of quality and satisfaction from both providers and patients in our study support the notion that time and effort to address all barriers to telehealth access will be good societal investments.…”
Section: Discussionmentioning
confidence: 99%
“…Because we were interested in the characteristics of those who did not successfully utilize video-based telemedicine, we grouped telephone encounters with in-person encounters; this categorization is supported by recently published studies that suggest that patients receiving telephone care during the pandemic differ significantly from those receiving video care. 7,8 Data elements and collection. Demographic data on all eligible patients, including sex, age, race/ethnicity, insurance status, primary language, and zip code, were abstracted from the UC Davis electronic health record (EHR).…”
Section: Observational Studymentioning
confidence: 99%