Computers in Human Behavior Reports (Mar 2025)
Telemedicine career pursuance among nurses in healthcare business processing outsourcing industries from the Philippines: A task-technology fit and technology acceptance approach
Abstract
The rapid evolution of telemedicine presents both opportunities and challenges for healthcare professionals, particularly nurses. This study addresses the critical need to understand the factors influencing Filipino nurses' intention to transition to the telemedicine sector amidst this evolving landscape. The objective was to identify significant predictors of telemedicine adoption by surveying 316 Filipino nurses using a higher-ordered Partial Least Squares Structural Equation Modeling approach (PLS-SEM). Employing a comprehensive framework that integrates Task-Technology Fit and the Technology Acceptance Model, the study measured key variables such as behavioral intention, professional satisfaction, and career pursuance intention. The findings revealed that nurses’ attitudes significantly impact both behavioral intention and professional satisfaction, which subsequently influence career pursuance. Task-Technology Fit was also found to primarily affect professional satisfaction through its constructs of task characteristics and technology characteristics but did not have a significant impact on behavioral intention. These results highlight the importance of promoting positive attitudes towards telemedicine, ensuring that the technology is perceived as both useful and user-friendly, and enhancing Task-Technology Fit to facilitate successful telemedicine adoption. Moreover, the study highlights the need for targeted interventions, such as tailored training programs and support systems, to ease the transition for nurses into telemedicine roles. By addressing these areas, healthcare organizations can better support nurses, leading to improved telemedicine integration and overall professional satisfaction.
