Abstract
Precision medical technologies have received a great deal of attention, but promoting such technologies remains a problem for enterprises and medical institutions. Adopting the unified theory of acceptance and use of technology (UTAUT) model and the health belief model (HBM), this study investigated the key factors affecting users’ willingness to adopt precision medicine (PM) in terms of technical factors and external stimuli. Based on 415 questionnaires, performance expectancy, price value, social influence, and perceived threat of disease were found to significantly increase users willingness to adopt PM; meanwhile, privacy risks had the opposite effect. Knowledge about PM was found to strengthen the positive effect of performance expectancy, price value, social influence, and perceived threat of disease on willingness to adopt PM and weaken the negative effect of privacy risk. This study demonstrates the successful application of UTAUT to the medical field while also providing guidance for the promotion of PM.
Highlights
Precision medicine (PM) refers to personalized approaches to disease prevention and treatment based on technologies such as genomics, proteomics, and metabolomics [1]
In order to exclude collinearity, this study made collinearity diagnosis for model 1-model 2 in this paper, in which the VIF (Variance Inflation Factor) of all coefficients was less than 2, so there was no multicollinearity. It can be seen from Model 2 in Table 5 that performance expectancy, price value, privacy risk, social influence, and perceived threat of disease was positively related to precision medicine (PM) adoption intention
Privacy risk was negatively related to PM adoption intention
Summary
Precision medicine (PM) refers to personalized approaches to disease prevention and treatment based on technologies such as genomics, proteomics, and metabolomics [1]. PM application mainly includes molecular diagnosis, gene sequencing, and targeted drug therapy. Previous studies have shown that, compared to other treatment schemes, PM can take into account individual differences, thereby providing a better therapeutic effect [2]. With rapid technological development and people’s increasing attention to health, medical workers and consumers are becoming more interested in PM. Through a review of the literature on PM, this study found that early research on PM mostly focused on the development and application of new technologies [3,4]. The promotion of new PM products and technologies remains a problem for enterprises and medical institutions [5]
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