Performance Expectancy and Attitude as Key Predictors of Telemedicine Adoption: Evidence from Healthcare Professionals in Pakistan

Telemedicine is transforming the healthcare provision, especially in the resource-limited settings. Nevertheless, several behavioral factors has an impact on how healthcare professionals (HCPs) embrace telemedicine services. This study was conducted with the view of investigating the impacts of four major predictors including performance expectancy, effort expectancy, social influence and facilitation on behavioral intention and the mediating role of attitude towards the adoption of telemedicine among the HCPs in the province of Sindh, Pakistan. Data was compiled by use of a cross-sectional survey design that surveyed a sample of 406 professionals in healthcare such as physicians, PGs, and allied health care personnel serving in both government and privately operated hospitals. The data, and the suggested correlations were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings were that performance expectancy was the best indicator of attitude, and the two constructs had significant and positive impacts about behavioral intention. The present paper adds to the existing body of knowledge regarding technology acceptance to healthcare being tested in a low-income and middle-income country (LMIC) setting by confirming two constructs of the UTAUT model. It also evidences the necessity of specific training programs and system design enhancement and forms the positive attitude within the users to improve their results. The suggested implications on the policy of digital health, telemedicine architecture, and institutional preparedness are considered.