Different from value-added innovation, the benefits of preventive innovation to adopters are difficult to observe directly. The decision-making process of innovation has received less attention from scholars. In order to explore the key determinants of preventive innovation acceptance behaviors and their changes in the process of innovation diffusion, this meta-analysis constructs a conceptual model bases on technology acceptance model and its extension model, privacy calculation model, innovation diffusion theory and health belief model and collects 28 studies about wearable healthcare devices to test hypotheses. The results show that :(1) The variables selected in this meta-analysis can effectively predict the adoption of preventive innovation by users. (2) Attitude, perceived usefulness, perceived ease of use, performance expectation, effort expectation, social influence, hedonic motivation, trust, compatibility and personal innovation significantly affect intention to use. Health belief significantly affects perceived usefulness. As the year of publication increases, the significant relationship between them gradually increased. In addition, facilitating conditions, perceived benefit, and perceived privacy risk also significantly affect intention to use. (3) With the proliferation of innovative products, users place higher demands on the products.