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JAMA Netw Open . Patient Characteristics Associated With Telemedicine Access for Primary and Specialty Ambulatory Care During the COVID-19 Pandemic

tetano

Editor, Senior Moderator
JAMA Netw Open


. 2020 Dec 1;3(12):e2031640.
doi: 10.1001/jamanetworkopen.2020.31640.
Patient Characteristics Associated With Telemedicine Access for Primary and Specialty Ambulatory Care During the COVID-19 Pandemic


Lauren A Eberly[SUP] 1 2 3 4 [/SUP], Michael J Kallan[SUP] 5 [/SUP], Howard M Julien[SUP] 1 3 [/SUP], Norrisa Haynes[SUP] 1 3 [/SUP], Sameed Ahmed M Khatana[SUP] 1 2 4 [/SUP], Ashwin S Nathan[SUP] 1 2 4 [/SUP], Christopher Snider[SUP] 5 [/SUP], Neel P Chokshi[SUP] 1 6 [/SUP], Nwamaka D Eneanya[SUP] 4 5 7 [/SUP], Samuel U Takvorian[SUP] 8 [/SUP], Rebecca Anastos-Wallen[SUP] 9 [/SUP], Krisda Chaiyachati[SUP] 9 10 [/SUP], Marietta Ambrose[SUP] 1 3 [/SUP], Rupal O'Quinn[SUP] 1 [/SUP], Matthew Seigerman[SUP] 1 [/SUP], Lee R Goldberg[SUP] 1 [/SUP], Damien Leri[SUP] 10 [/SUP], Katherine Choi[SUP] 10 [/SUP], Yevginiy Gitelman[SUP] 9 10 [/SUP], Daniel M Kolansky[SUP] 1 [/SUP], Thomas P Cappola[SUP] 1 3 [/SUP], Victor A Ferrari[SUP] 1 [/SUP], C William Hanson[SUP] 11 [/SUP], Mary Elizabeth Deleener[SUP] 11 [/SUP], Srinath Adusumalli[SUP] 1 2 3 4 10 11 [/SUP]



Affiliations

Abstract

Importance: The coronavirus disease 2019 (COVID-19) pandemic has required a shift in health care delivery platforms, necessitating a new reliance on telemedicine.
Objective: To evaluate whether inequities are present in telemedicine use and video visit use for telemedicine visits during the COVID-19 pandemic.
Design, setting, and participants: In this cohort study, a retrospective medical record review was conducted from March 16 to May 11, 2020, of all patients scheduled for telemedicine visits in primary care and specialty ambulatory clinics at a large academic health system. Age, race/ethnicity, sex, language, median household income, and insurance type were all identified from the electronic medical record.
Main outcomes and measures: A successfully completed telemedicine visit and video (vs telephone) visit for a telemedicine encounter. Multivariable models were used to assess the association between sociodemographic factors, including sex, race/ethnicity, socioeconomic status, and language, and the use of telemedicine visits, as well as video use specifically.
Results: A total of 148 402 unique patients (86 055 women [58.0%]; mean [SD] age, 56.5 [17.7] years) had scheduled telemedicine visits during the study period; 80 780 patients (54.4%) completed visits. Of 78 539 patients with completed visits in which visit modality was specified, 35 824 (45.6%) were conducted via video, whereas 24 025 (56.9%) had a telephone visit. In multivariable models, older age (adjusted odds ratio [aOR], 0.85 [95% CI, 0.83-0.88] for those aged 55-64 years; aOR, 0.75 [95% CI, 0.72-0.78] for those aged 65-74 years; aOR, 0.67 [95% CI, 0.64-0.70] for those aged ≥75 years), Asian race (aOR, 0.69 [95% CI, 0.66-0.73]), non-English language as the patient's preferred language (aOR, 0.84 [95% CI, 0.78-0.90]), and Medicaid insurance (aOR, 0.93 [95% CI, 0.89-0.97]) were independently associated with fewer completed telemedicine visits. Older age (aOR, 0.79 [95% CI, 0.76-0.82] for those aged 55-64 years; aOR, 0.78 [95% CI, 0.74-0.83] for those aged 65-74 years; aOR, 0.49 [95% CI, 0.46-0.53] for those aged ≥75 years), female sex (aOR, 0.92 [95% CI, 0.90-0.95]), Black race (aOR, 0.65 [95% CI, 0.62-0.68]), Latinx ethnicity (aOR, 0.90 [95% CI, 0.83-0.97]), and lower household income (aOR, 0.57 [95% CI, 0.54-0.60] for income <$50 000; aOR, 0.89 [95% CI, 0.85-0.92], for $50 000-$100 000) were associated with less video use for telemedicine visits. These results were similar across medical specialties.
Conclusions and relevance: In this cohort study of patients scheduled for primary care and medical specialty ambulatory telemedicine visits at a large academic health system during the early phase of the COVID-19 pandemic, older patients, Asian patients, and non-English-speaking patients had lower rates of telemedicine use, while older patients, female patients, Black, Latinx, and poorer patients had less video use. Inequities in accessing telemedicine care are present, which warrant further attention.
 
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