z-logo
open-access-imgOpen Access
Racial and ethnic differences in self-reported telehealth use during the COVID-19 pandemic: a secondary analysis of a US survey of internet users from late March
Author(s) -
Celeste CamposCastillo,
Denise Anthony
Publication year - 2020
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocaa221
Subject(s) - telehealth , pandemic , ethnic group , logistic regression , medicine , odds , health equity , health care , socioeconomic status , demography , telemedicine , family medicine , covid-19 , gerontology , environmental health , public health , nursing , political science , disease , sociology , population , pathology , infectious disease (medical specialty) , law
Widespread technological changes, like the rapid uptake of telehealth in the US during the COVID-19 pandemic, risk creating or widening racial/ethnic disparities. We conducted a secondary analysis of a cross-sectional, nationally representative survey of internet users to evaluate whether there were racial/ethnic disparities in self-reported telehealth use early in the pandemic.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom