Introduction: The purpose of this study was to examine the use of telemedicine at one academic health care center during the COVID-19 pandemic to identify opportunities to improve access to this novel delivery method of care. Methods: All patients who underwent telemedicine visits at one urban academic medical center between March 2020 and June 2020 were included. All departments were included including surgical and nonsurgical. Demographic data, primary language, and visit type were collected. Primary zip code was used as surrogate for socioeconomic status through use of the zip code median household income. The demographics of the New York metropolitan area were obtained through the U.S. Census Bureau and used as a control cohort. Results: A total of 362,413 telemedicine visits met inclusion criteria with the majority of visits performed in April and May; 127,851 (35.3%) and 110,166 (30.4%), respectively. The highest performing department was Internal Medicine, which performed 72,796 visits or 20% of the total cohort. In our cohort of telemedicine patients, 59.6% identified as White, 11.4% as Black, and 5.7% as Asian. This is less diverse than the overall population of the metropolitan area, which is 17.5% Black and 11.5% Asian. There was also a large gender gap in the utilization of telemedicine services in general, where women (60.2%) were more likely than men (39.8%) to utilize the virtual visits. In addition, although over a third of patients in the Metropolitan area have median household incomes of <50,000, this population only represented 13.6% of our total cohort. Conclusions: This study highlights both the capability of telemedicine to provide care at a large urban academic medical center during a pandemic in addition to identifying potential gaps in care with telemedicine. The disparities highlighted in our cohort stress the importance of outreach to non-White older patients of lower socioeconomic status.
Introduction: The purpose of this study was to examine the use of telemedicine at one academic health care center during the COVID-19 pandemic to identify opportunities to improve access to this novel delivery method of care. Methods: All patients who underwent telemedicine visits at one urban academic medical center between March 2020 and June 2020 were included. All departments were included including surgical and nonsurgical. Demographic data, primary language, and visit type were collected. Primary zip code was used as surrogate for socioeconomic status through use of the zip code median household income. The demographics of the New York metropolitan area were obtained through the U.S. Census Bureau and used as a control cohort. Results: A total of 362,413 telemedicine visits met inclusion criteria with the majority of visits performed in April and May; 127,851 (35.3%) and 110,166 (30.4%), respectively. The highest performing department was Internal Medicine, which performed 72,796 visits or 20% of the total cohort. In our cohort of telemedicine patients, 59.6% identified as White, 11.4% as Black, and 5.7% as Asian. This is less diverse than the overall population of the metropolitan area, which is 17.5% Black and 11.5% Asian. There was also a large gender gap in the utilization of telemedicine services in general, where women (60.2%) were more likely than men (39.8%) to utilize the virtual visits. In addition, although over a third of patients in the Metropolitan area have median household incomes of <50,000, this population only represented 13.6% of our total cohort. Conclusions: This study highlights both the capability of telemedicine to provide care at a large urban academic medical center during a pandemic in addition to identifying potential gaps in care with telemedicine. The disparities highlighted in our cohort stress the importance of outreach to non-White older patients of lower socioeconomic status.
Authors: Kea Turner; Margarita Bobonis Babilonia; Cristina Naso; Oliver Nguyen; Brian D Gonzalez; Laura B Oswald; Edmondo Robinson; Jennifer Elston Lafata; Robert J Ferguson; Amir Alishahi Tabriz; Krupal B Patel; Julie Hallanger-Johnson; Nasrin Aldawoodi; Young-Rock Hong; Heather S L Jim; Philippe E Spiess Journal: J Med Internet Res Date: 2022-01-19 Impact factor: 5.428