Perceptions of Telehealth Among Commercial Members Who Responded to a Patient-Experience Survey During the Onset of the Coronavirus-19 Pandemic

Telemed J E Health. 2022 Apr;28(4):551-557. doi: 10.1089/tmj.2021.0196. Epub 2021 Aug 3.

Abstract

Introduction: The body of literature on telehealth perception among commercial members is limited. Therefore, we administered a patient-experienced survey (Clinician and Group Consumer Assessment of Healthcare Providers and Systems [CG-CAHPS]) to determine member perceptions of telehealth, including willingness to pay for it and the likelihood to access it again. Methods: This study used a cross-sectional design, and members were assigned into two groups: those who had a telehealth visit with their primary care provider (PCP) or a provider in the same practice and those who had a telehealth visit with a provider outside of their PCP's practice. Logistic regression models were used to observe group differences in telehealth perception. Results: A total of 444 members replied to the CG-CAHPS survey and had a virtual visit; 21.1% had a telehealth visit with a provider outside of their PCP's practice, and 78.8% had a telehealth visit with their PCP or a provider in the same practice. Compared with members who saw a provider outside of their PCP's practice, members who saw their PCP or a provider in the same practice had 3.76 higher odds (confidence interval [95% CI]: 1.49-9.44) of rating in-person care as no different than virtual care; 2.29 higher odds (95% CI: 1.30-4.04) of reporting they would likely use telehealth again in the future; and 1.70 higher odds (95% CI: 0.99-2.91) of responding that they would be willing to pay an in-office visit copay for a telehealth visit. Conclusion: These results suggest that the familiarity of a member's PCP extends to the provider's practice and impacts member outlook on telehealth.

Keywords: COVID; commercial telemedicine; policy; telehealth; telemedicine.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19* / epidemiology
  • Cross-Sectional Studies
  • Humans
  • Pandemics
  • SARS-CoV-2
  • Telemedicine* / methods