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Characteristics of telehealth users in NYC for COVID-related care during the coronavirus pandemic
Author(s) -
Ellerie Weber,
Sarah J. Miller,
Varuna Astha,
Teresa Janević,
Emma K. T. Benn
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/ocaa216
Subject(s) - telehealth , odds , pandemic , logistic regression , medicine , ethnic group , covid-19 , multinomial logistic regression , demography , odds ratio , health care , gerontology , telemedicine , family medicine , disease , political science , sociology , computer science , machine learning , infectious disease (medical specialty) , law
To explore whether racial/ethnic differences in telehealth use existed during the peak pandemic period among NYC patients seeking care for COVID-19 related symptoms.

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