Using the Technology Acceptance Model to Characterize Barriers and Opportunities of Telemedicine in Rural Populations: Survey and Interview Study.
JMIR Form Res
; 6(4): e35130, 2022 Apr 15.
Article
in English
| MEDLINE | ID: covidwho-1834180
ABSTRACT
BACKGROUND:
Health care access issues have long plagued rural Americans. One approach to alleviating the challenges and poor health outcomes for rural individuals is through the use of telemedicine, sometimes called telehealth. It is important to understand factors that may be related to telemedicine adoption or nonadoption, particularly in underserved rural settings.OBJECTIVE:
This pilot study examines telemedicine perceptions among rural, underserved populations using the Technology Acceptance Model, which serves as a framework to explore the adoption of telemedicine services by those who have used it. This study also explores the differences between user and nonuser perceptions of telemedicine.METHODS:
Paper surveys and phone interviews were conducted in rural Northern Lower Michigan.RESULTS:
Perceived usefulness and perceived ease of use explained 91% of the variability in attitude toward telemedicine (R2=0.91; F1,15=73.406; P<.001). Ease of use was a significant predictor (mean 2.36, SD 1.20; P<.001), but usefulness (mean 3.16, SD 0.81; P=.20) was not. Furthermore, there were significant differences in individual perception of telemedicine between users and nonusers. For example, nonusers believed they would receive better care in person (users mean 3.30, SD 1.22; nonusers mean 1.91, SD 1.14; F1,32=10.126; P=.003). The quantitative findings were reinforced by the qualitative results from the phone interviews.CONCLUSIONS:
Overall, the Technology Acceptance Model is an appropriate model to understand the attitudes toward telemedicine that may lead to its adoption by rural Americans.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Observational study
/
Prognostic study
/
Qualitative research
Language:
English
Journal:
JMIR Form Res
Year:
2022
Document Type:
Article
Affiliation country:
35130
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