Skip to main content
Journal cover image

Understanding Telemedicine's "New Normal": Variations in Telemedicine Use by Specialty Line and Patient Demographics.

Publication ,  Journal Article
Drake, C; Lian, T; Cameron, B; Medynskaya, K; Bosworth, HB; Shah, K
Published in: Telemed J E Health
January 2022

Background:Our objective was to examine the variation in telemedicine adoption by specialty line and patient demographic characteristics after the initial peak period of the coronavirus disease 2019 pandemic when in-person visits had resumed and visit volume returned to prepandemic levels.Materials and Methods:Aggregated encounter data were extracted for six service lines (dermatology, psychiatry, endocrinology, cardiology, orthopedics, and nonurgent primary care) in an integrated health system across three time periods: July 1 to September 30, 2019 (n = 239,803), July 1 to September 30, 2020 (n = 245,648), and December 29, 2019 to October 3, 2020 (n = 624,886). Risk ratios were calculated to assess the relative use of telemedicine compared with in-person encounters and telemedicine modality (i.e., synchronous audio/video vs. audio-only telephone) by patient race, age, sex, and insurance type.Results:By June 2020, total visit volume returned to prepandemic levels. Differences in patient demographics between July 1 to September 30, 2020 and the previous year's baseline were negligible. Telemedicine adoption varied by medical specialty, from 3.2% (dermatology) to 98.3% (psychiatry) of visits. African American and male patients were less likely to use telemedicine (telephone or video) compared with white and female patients. Among telemedicine encounters, African American, publicly insured, and older patients were less likely to use video compared with white, commercially insured, and younger patients.Discussion:Variation in telemedicine adoption and modality underscores the importance of balancing patient- and clinic-level implementation factors to promote sustainable, equitable telemedicine integration.Conclusion:Understanding current trends in the "new normal" of telemedicine provides valuable insights into future implementation and financing.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Telemed J E Health

DOI

EISSN

1556-3669

Publication Date

January 2022

Volume

28

Issue

1

Start / End Page

51 / 59

Location

United States

Related Subject Headings

  • Telemedicine
  • SARS-CoV-2
  • Pandemics
  • Medical Informatics
  • Male
  • Humans
  • Female
  • Demography
  • COVID-19
  • 4206 Public health
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Drake, C., Lian, T., Cameron, B., Medynskaya, K., Bosworth, H. B., & Shah, K. (2022). Understanding Telemedicine's "New Normal": Variations in Telemedicine Use by Specialty Line and Patient Demographics. Telemed J E Health, 28(1), 51–59. https://doi.org/10.1089/tmj.2021.0041
Drake, Connor, Tyler Lian, Blake Cameron, Kate Medynskaya, Hayden B. Bosworth, and Kevin Shah. “Understanding Telemedicine's "New Normal": Variations in Telemedicine Use by Specialty Line and Patient Demographics.Telemed J E Health 28, no. 1 (January 2022): 51–59. https://doi.org/10.1089/tmj.2021.0041.
Drake C, Lian T, Cameron B, Medynskaya K, Bosworth HB, Shah K. Understanding Telemedicine's "New Normal": Variations in Telemedicine Use by Specialty Line and Patient Demographics. Telemed J E Health. 2022 Jan;28(1):51–9.
Drake, Connor, et al. “Understanding Telemedicine's "New Normal": Variations in Telemedicine Use by Specialty Line and Patient Demographics.Telemed J E Health, vol. 28, no. 1, Jan. 2022, pp. 51–59. Pubmed, doi:10.1089/tmj.2021.0041.
Drake C, Lian T, Cameron B, Medynskaya K, Bosworth HB, Shah K. Understanding Telemedicine's "New Normal": Variations in Telemedicine Use by Specialty Line and Patient Demographics. Telemed J E Health. 2022 Jan;28(1):51–59.
Journal cover image

Published In

Telemed J E Health

DOI

EISSN

1556-3669

Publication Date

January 2022

Volume

28

Issue

1

Start / End Page

51 / 59

Location

United States

Related Subject Headings

  • Telemedicine
  • SARS-CoV-2
  • Pandemics
  • Medical Informatics
  • Male
  • Humans
  • Female
  • Demography
  • COVID-19
  • 4206 Public health