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Using the Technology Acceptance Model to Characterize Barriers and Opportunities of Telemedicine in Rural Populations: Survey and Interview Study.
Holtz, Bree; Mitchell, Katharine; Hirko, Kelly; Ford, Sabrina.
  • Holtz B; Department of Advertising and Public Relations, College of Communication Arts & Sciences, Michigan State University, East Lansing, MI, United States.
  • Mitchell K; Department of Advertising and Public Relations, College of Communication Arts & Sciences, Michigan State University, East Lansing, MI, United States.
  • Hirko K; Department of Epidemiology and Biostatistics, College of Human Medicine, Traverse City Campus, Michigan State University, Traverse City, MI, United States.
  • Ford S; Department of Obstetrics, Gynecology & Reproductive Biology, College of Human Medicine, Michigan State University, East Lansing, MI, United States.
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.
Keywords

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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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