This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2414) Telehealth and Telemonitoring (1671) Adoption and Change Management of eHealth Systems (712)

Published on in Vol 6, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35130, first published .
Using the Technology Acceptance Model to Characterize Barriers and Opportunities of Telemedicine in Rural Populations: Survey and Interview Study

Using the Technology Acceptance Model to Characterize Barriers and Opportunities of Telemedicine in Rural Populations: Survey and Interview Study

Using the Technology Acceptance Model to Characterize Barriers and Opportunities of Telemedicine in Rural Populations: Survey and Interview Study

Authors of this article:

Bree Holtz1 Author Orcid Image ;   Katharine Mitchell1 Author Orcid Image ;   Kelly Hirko2 Author Orcid Image ;   Sabrina Ford3 Author Orcid Image
Article Authors Cited by (11) Tweetations (3) Metrics

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  1. Corneli A, Perry B, Des Marais A, Choi Y, Chen H, Lilly R, Ayers D, Bennett J, Kestner L, Meade C, Sachdeva N, McKellar M. Participant perceptions on the acceptability and feasibility of a telemedicine-based HIV PrEP and buprenorphine/naloxone program embedded within syringe services programs: a qualitative descriptive evaluation. Harm Reduction Journal 2022;19(1) View
  2. Sallam M, Salim N, Barakat M, Al-Mahzoum K, Al-Tammemi A, Malaeb D, Hallit R, Hallit S. Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study. JMIR Medical Education 2023;9:e48254 View
  3. Holtz B, Mitchell K. Best Practices for Developing a Diabetes mHealth App. Journal of Diabetes Science and Technology 2024;18(1):39 View
  4. Oduro M, Peprah P, Morgan A, Agyemang-Duah W. Staying in or out? COVID-19-induced healthcare utilization avoidance and associated socio-demographic factors in rural India. BMC Public Health 2023;23(1) View
  5. Anil Kumar Vaidhyam S, Huang K. Social Determinants of Health and Patients’ Technology Acceptance of Telehealth During the COVID-19 Pandemic: Pilot Survey. JMIR Human Factors 2023;10:e47982 View
  6. Pullyblank K, Scribani M, Krupa N, Chapman A, Kern M, Brunner W. Exploring Multiple Dimensions of Access to and Preferences for Telehealth Use. Telemedicine Reports 2023;4(1):348 View
  7. Rowe Ferrara M, Chapman S. Rural Patients' Experiences with Synchronous Video Telehealth in the United States: A Scoping Review. Telemedicine and e-Health 2024;30(5):1357 View
  8. Philpot L, Ramar P, Roellinger D, Njeru J, Ebbert J. Individual-Level Digital Determinants of Health and Technology Acceptance of Patient Portals: Cross-Sectional Assessment. JMIR Formative Research 2024;8:e56493 View
  9. Kung L, Yan Y, Kung C. Exploring Telemedicine Usage Intention Using Technology Acceptance Model and Social Capital Theory. Healthcare 2024;12(13):1267 View
  10. Lin Y, Xu X, Liu Y, Alias H, Hu Z, Wong L. Perception and Acceptance of Telemedicine Use in Health Care Among the General Public in China: Web-Based Cross-Sectional Survey. Journal of Medical Internet Research 2024;26:e53497 View