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- Title
Predictive factors of physicians' satisfaction with telemedicine services acceptance.
- Authors
Kissi, Jonathan; Dai, Baozhen; Dogbe, Courage SK; Banahene, Jonathan; Ernest, Oyeh
- Abstract
Despite the significant increase in telemedicine services technology, its adoption and use have been quite slow in some healthcare settings. It is generally accepted in today's globalizing world that the success of telemedicine services relies on users' satisfaction. Satisfying physicians and patients is one of the crucial objectives of telemedicine success. This study seeks to evaluate physicians' satisfaction with telemedicine services adoption and utilization using the technology acceptance model. A structured questionnaire based on the construct of technology acceptance model was used to solicit for data from participants in four different government health institutions. Purposive and convenience sampling techniques were employed to select healthcare professionals from various medical fields. Structural equation modeling was utilized in the data analysis. Perceived ease of use and perceived usefulness of telemedicine services were found to influence physicians' behavioral intentions. This resulted in increased efficiency, quality of services, quality patient care delivery, and satisfaction among physicians in using telemedicine services. We noted that the adoption of telemedicine services in clinical settings depends on physicians' and patients' satisfaction with the use of the service. The study contributes to empirical knowledge by identifying the vital predictive factors affecting telemedicine services satisfaction among physicians.
- Subjects
GHANA; ADAPTABILITY (Personality); CHI-squared test; CONCEPTUAL structures; FACTOR analysis; MATHEMATICAL models; MEDICAL quality control; PUBLIC hospitals; RESEARCH funding; STATISTICAL sampling; SATISFACTION; TELEMEDICINE; USER interfaces; THEORY; JUDGMENT sampling; DATA analysis software; PHYSICIANS' attitudes; DESCRIPTIVE statistics; HOSPITAL nursing staff; ATTITUDES toward computers
- Publication
Health Informatics Journal, 2020, Vol 26, Issue 3, p1866
- ISSN
1460-4582
- Publication type
Article
- DOI
10.1177/1460458219892162