Factors influencing the acceptance for adoption of innovative medical self-test

Abstract

There are multiple barriers of health self-care. Self-testing and information technology would empower self-care and medical industry. In addition, it may reduce the country’s public health burden cost. However, there is very limited research on IT related to health care and customer belief in Thailand. This study, alternate innovative mixed models in software was developed to understand individual’s characteristics and influencing factors for the adoption of medical self-testing.

A cross-sectional survey was conducted using self-administrated questionnaires that constructed based on Health belief model (HBM), Extending the unified theory of acceptance and use of technology (UTAUT2) including related significant psychological determinants. 1,000 questionnaires were sent out in four regions (18 provinces) during February-November 2019. Total 979 completed data set were analyzed using confirmatory factor analysis (CFA), Structural Equation Modeling (SEM), Cluster analysis and Logistic regression.

The results demonstrated that Social influence was the most psychological determinants significantly impact for adoption intention on home Self-test kit followed by Health belief, User-centricity, Experience, Personality trait, Product feature and Age. The developed software from this study would facilitate medical company to identify potential customers to access self-testing kit for health screening, early disease detection, and prevention of chronic therapeutic costs and mortality.