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Patient characteristics associated with telemedicine access for primary and specialty ambulatory care during the COVID-19 pandemic.
Open accessAbstract
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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“Notably, during the COVID-19 pandemic, video telehealth was generally used less frequently among older adults, rural residents, and racial and ethnic minority patients.50,51”
From Mobile Health Intervention in Patients With Type 2 Diabetes: A Randomized Clinical Trial (2023) · cites this paper as [50]
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Charlson, M. E., Pompei, P., Ales, K. L., & MacKenzie, C. R. (1987) · Journal of Chronic Diseases · doi:10.1016/0021-9681(87)90171-8 · Cited by 49,742
Unequal treatment: confronting racial and ethnic disparities in health care
(2003) · Choice Reviews Online · doi:10.5860/choice.40-5843 · Cited by 7,043
Capps, L. (2003) · JAMA · doi:10.1001/jama.290.18.2487-b · Cited by 4,558
Garg, S., Kim, L., Whitaker, M., O’Halloran, A., Cummings, C., Holstein, R., Prill, M., Chai, S. J., Kirley, P. D., Alden, N. B., et al. (2020) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6915e3 · Cited by 2,335
COVID-19 and African Americans
Yancy, C. W. (2020) · JAMA · doi:10.1001/jama.2020.6548 · Cited by 1,932
The Impact of COVID-19 on Gender Equality
Alon, T., Doepke, M., Olmstead-Rumsey, J., & Tertilt, M. (2020) · doi:10.3386/w26947 · Cited by 1,706
Telehealth transformation: COVID-19 and the rise of virtual care
Wosik, J., Fudim, M., Cameron, B., Gellad, Z. F., Cho, A., Phinney, D., Curtis, S., Roman, M., Poon, E. G., Ferranti, J., et al. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa067 · Cited by 1,581
COVID-19 exacerbating inequalities in the US
Dorn, A. V., Cooney, R. E., & Sabin, M. L. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30893-x · Cited by 1,315
Critical Race Theory, Race Equity, and Public Health: Toward Antiracism Praxis
Ford, C. L., & Airhihenbuwa, C. O. (2010) · American Journal of Public Health · doi:10.2105/ajph.2009.171058 · Cited by 995
Back to the Future: Achieving Health Equity Through Health Informatics and Digital Health
Brewer, L. C., Fortuna, K. L., Jones, C., Walker, R., Hayes, S. N., Patten, C. A., & Cooper, L. A. (2020) · JMIR mHealth and uHealth · doi:10.2196/14512 · Cited by 367
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DeWitt-Foy, M. E., Albersheim, J., Grove, S., Hamid, L., Berryman, S. H., & Elliott, S. P. (2023) · Société Internationale d’Urologie Journal · doi:10.48083/urdy6133 · Cited by 2
Xiong, T., & Chen, M. (2021) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztab014 · Cited by 1
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Poeta, M., Pierri, L., Bruzzese, E., Nunziata, F., Vassallo, E., Catzola, A., Ciccarelli, G. P., Guarino, A., & Vecchio, A. L. (2021) · Research Square · doi:10.21203/rs.3.rs-191998/v1 · Cited by 1
Whellan, D. J. (2021) · JACC Heart Failure · doi:10.1016/j.jchf.2021.09.003 · Cited by 1
Hassan, A. M., Chu, C. K.-C., Liu, J., Angove, R., Rocque, G. B., Gallagher, K. D., Momoh, A. O., Caston, N. E., Williams, C., Wheeler, S. B., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1439371/v1 · Cited by 1
Fu, M., Guo, J., Chen, X., Han, B., Ahmad, M. F., Shahid, M., & Zhang, Q. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4114638 · Cited by 1
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Cesar, T., Goharderakshan, N., Li, Q., Tovar, S., & Chien, G. W. (2023) · Research Square · doi:10.21203/rs.3.rs-2662862/v1 · Cited by 1
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Rapson, T., Ramirez, M., He, S., Wong, J., Kim, H. C., Luna, I., Yang, A., Li, J., Fishman, P. A., Ralston, J. D., et al. (2025) · doi:10.2196/preprints.78430 · Cited by 1
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Casoy, F., Cuyler, R. N., & Fishkind, A. B. (2022) · Springer eBooks · doi:10.1007/978-3-031-10239-4_54
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Garg, R., Patel, V., McMichael, J., Sasankan, P., Dahiya, D. S., Singh, A., Thota, P. N., & Sanaka, M. R. (2023) · iGIE · doi:10.1016/j.igie.2023.08.007
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Hirbo, H. G., & Hola, R. N. (2023) · Research Square · doi:10.21203/rs.3.rs-3795175/v1
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Cuellar, C. R. (2024) · Springer eBooks · doi:10.1007/978-3-031-55760-6_3
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Wenren, L. M., Bucholz, E. M., Carballo, M. P., Fynn‐Thompson, F., Jenkins, K. J., Connor, J. A., de Ferranti, S. D., & Saleeb, S. F. (2025) · The Journal of Pediatrics Clinical Practice · doi:10.1016/j.jpedcp.2025.200199
Granja, M., Correia, S., & Alves, L. (2024) · Figshare · doi:10.6084/m9.figshare.26568301
Sierra-Heredia, C., Tayyar, E., Bozorgi, Y., Thakore, P., Hagos, S., Carrillo, R., Machado, S., Peterson, S., Goldenberg, S. M., Wiedmeyer, M.-L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26962472
Adhikari, S., Titus, A. R., Baum, A., LOPEZ, P. M., Kanchi, R., Orstad, S. L., Elbel, B. D., Lee, D. C., Thorpe, L. E., & Schwartz, M. D. (2023) · Figshare · doi:10.6084/m9.figshare.22599731
Nguyen, M. T., Garcia, F., Juarez, J., Zeng, B., Khoong, E. C., Nijagal, M. A., Sarkar, U., Su, G., & Lyles, C. R. (2022) · Figshare · doi:10.6084/m9.figshare.19181531
Gordon, N. P., Lin, T. Y., Torreblanca, A., & Reed, M. E. (2024) · Figshare · doi:10.6084/m9.figshare.26517838
Der‐Martirosian, C., Yoo, C. K., Steers, W. N., Hou, C. G., Chu, K., Ferguson, J. M., Carter, M. D., Heyworth, L. K., & Leung, L. B. (2024) · Figshare · doi:10.6084/m9.figshare.26964721
Vallejo-Bocanumen, C. E., Pérez-Martínez, D., Quiceno-Salazar, D. C., Mejía-Gonzalez, Y. P., Cano, J. F. G., & Martínez-Pérez, D. C. (2023) · Figshare · doi:10.6084/m9.figshare.23625471
Cao, Y. (., Chen, D., & Smith, M. (2024) · Figshare · doi:10.6084/m9.figshare.26586435
Békási, S., Girasek, E., & Győrffy, Z. (2024) · Figshare · doi:10.6084/m9.figshare.26555423
Wei, C., Ming, S., & Jing, W. (2022) · Annals of Pharmacy Practice and Pharmacotherapy · doi:10.51847/0px9mnyu0s
Liu, X. O., & Sengupta, A. (2025) · JMIR Medical Informatics · doi:10.2196/75246
Arias, E. Y. Z., Olivera, A. I. L., Jaramillo, E. V. M., & Pardillo, T. B. (2025) · ASCE MAGAZINE · doi:10.70577/asce.v4i4.564
Chang, E., & Luff, A. (2025) · BMC Family Practice · doi:10.1186/s12875-025-03160-x
Telehealth Disparities, Exploring the Impact of Socioeconomic Status on Access, and Utilization
Aydın, S., Herd, H., & Şimşir, İ. (2026) · Acibadem Universitesi Saglik Bilimleri Dergisi · doi:10.31067/acusaglik.1777178
Metadata
- Authors
- Eberly, L. A., Kallan, M. J., Julien, H. M., Haynes, N., Khatana, S. A. M., Nathan, A. S., Snider, C., Chokshi, N. P., Eneanya, N. D., Takvorian, S. U., Anastos-Wallen, R., Chaiyachati, K., Ambrose, M., O’Quinn, R., Seigerman, M., Goldberg, L. R., Leri, D., Choi, K., Gitelman, Y., Kolansky, D. M., Cappola, T. P., Ferrari, V. A., Hanson, C. W., Deleener, M. E., & Adusumalli, S.
- Affiliations
- Hospital of the University of Pennsylvania (US)
- University of Pennsylvania (US)
- University of Pennsylvania Health System (US)
- Office of the Chief Medical Information Officer, University of Pennsylvania Health System, Philadelphia
- Corresponding author
- Adusumalli, Srinath
- ORCID
- Eberly, Lauren A.
- Kallan, Michael J.
- Julien, Howard M.
- Haynes, Norrisa
- Khatana, Sameed Ahmed M.
- Nathan, Ashwin S.
- Snider, Christopher
- Chokshi, Neel P.
- Eneanya, Nwamaka D.
- Takvorian, Samuel U.
- Chaiyachati, Krisda
- Ambrose, Marietta
- O’Quinn, Rupal
- Seigerman, Matthew
- Goldberg, Lee R.
- Leri, Damien
- Kolansky, Daniel M.
- Cappola, Thomas P.
- Ferrari, Victor A.
- Hanson, C. William
- Adusumalli, Srinath
- Venue
- JAMA Network Open
- Publisher
- American Medical Association (AMA)
- Published
- 2020-12-29
- Volume
- 3
- Issue
- 12
- Pages
- e2031640
- ISSN
- 2574-3805 (ISSN-L)
- PMC
- PMC7772717
- OpenAlex
- W3114602681
- Cited by
- 740
- References
- 19
- Citations by year
- 2026: 54 · 2025: 79 · 2024: 117 · 2023: 170 · 2022: 202 · 2021: 115 · 2020: 1
- FWCI
- 91.50
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JAMA Network Open (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Agency for Healthcare Research and Quality (K12 HS026372)
- National Heart, Lung, and Blood Institute (T32HL007843)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Medicine › Oncology › COVID-19 and healthcare impacts
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Healthcare Systems and Technology
- Keywords
- telemedicine, video consultation, telephone visits, COVID-19 pandemic, health care access disparities, sociodemographic disparities, primary care, language barriers, older adults, racial and ethnic disparities, socioeconomic status, insurance type, telehealth utilization, academic health system
- MeSH terms
- COVID-19, SARS-CoV-2, Adult, Age Factors, Aged, Ambulatory Care, Asian, Black or African American, Female, Medicare, Health Services Accessibility, Hispanic or Latino, Humans, Income, Language, Male, Medicaid, Middle Aged, Primary Health Care, Sex Factors, Telephone, United States, Telemedicine, Videoconferencing, Healthcare Disparities, Secondary Care, Secondary Health Care, Tertiary Healthcare, Tertiary Health Care
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