Keywords
Telemedicine, behavior change, theory, multi-theory model
Document Type
Review Article
Abstract
Telemedicine, the use of digital communication technologies to deliver clinical healthcare remotely, has emerged as a pivotal advancement in modern medicine. By providing virtual consultations, asynchronous data transmission, and remote patient monitoring (RPM), telemedicine enhances accessibility, particularly for underserved populations, while promoting efficiency and continuity of care. As telemedicine transforms healthcare delivery, its adoption hinges on understanding health behaviors—actions influenced by psychological, sociocultural, and environmental factors. These behaviors can be categorized into preventative, illness, and risk-related actions, with established models like the Health Belief Model (HBM), Social Cognitive Theory (SCT), and Transtheoretical Model (TTM) offering insights into behavior change mechanisms. The Multi-Theory Model (MTM), integrating constructs from various frameworks, is particularly well-suited to guide telemedicine adoption. MTM addresses both initiation and maintenance of behaviors through components such as participatory dialogue, behavioral confidence, and environmental modifications. Emotional transformation and social support further sustain long-term engagement with telemedicine. This comprehensive approach positions MTM as a valuable tool for overcoming barriers like privacy concerns, technological literacy, and infrastructure gaps. This review explores the application of health behavior models to telemedicine adoption, emphasizing the strengths of MTM in addressing the complexities of behavior change. By leveraging MTM, healthcare systems can enhance telemedicine utilization, ultimately improving health outcomes and equity in care delivery.
Recommended Citation
Islam, R. K.,
Watson, A. E.,
Robitaille, A.,
Sharma, M.,
Davis, R. E.,
Clark, J. T.,
&
Nahar, V. K.
(2025). Advancing Telemedicine Adoption: Insights From Health Behavior Models With a Focus on the Multi-Theory Model.
Journal of Public Health in the Deep South, 5(1), 1.
DOI: https://doi.org/10.55533/2996-6833.1100