通过精准医疗增强医疗保健能力：揭示社会因素与信任的关系。

Empowering Healthcare through Precision Medicine: Unveiling the Nexus of Social Factors and Trust.

作者信息

Tan Bian Ted Nicholas, Khan Md Irfanuzzaman, Saleh Md Abu, Wangchuk Dawa, Talukder Md Jakir Hasan, Kinght-Agarwal Catherine R

机构信息

Canberra Business School, University of Canberra, Canberra 2617, Australia.

Advance Computing and Information Science, University of South Australia, Mawson Lakes, Adelaide 5095, Australia.

出版信息

Healthcare (Basel). 2023 Dec 15;11(24):3177. doi: 10.3390/healthcare11243177.

DOI:10.3390/healthcare11243177

PMID:38132068

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10743070/

Abstract

This study investigated the impact of social factors on the acceptance of precision medicine (PM) using a quantitative survey grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. The findings revealed that social influence has a significantly positive effect on PM acceptance, while the influence of social media is found to be insignificant. Performance expectancy emerged as the most influential factor, demonstrating a significant relationship with PM acceptance. Trust plays a crucial moderating role, mitigating the impact of social factors on PM acceptance. While exploring the mediating effects of trust, we identified a significant mediation effect for social influence and performance expectancy on PM acceptance. However, the mediation effect of social media influence is insignificant. These findings highlight the importance of trust in shaping decisions regarding PM acceptance. These findings have significant implications for healthcare practitioners and policymakers aiming to promote the adoption of precision medicine in clinical practice.

摘要

本研究采用基于技术接受与使用统一理论（UTAUT）框架的定量调查方法，探讨了社会因素对精准医学（PM）接受度的影响。研究结果显示，社会影响对PM接受度有显著的正向影响，而社交媒体的影响则不显著。绩效期望是最具影响力的因素，与PM接受度呈现出显著关系。信任起着关键的调节作用，减轻了社会因素对PM接受度的影响。在探究信任的中介作用时，我们发现社会影响和绩效期望对PM接受度存在显著的中介效应。然而，社交媒体影响的中介效应不显著。这些发现凸显了信任在塑造PM接受度决策方面的重要性。这些发现对于旨在促进精准医学在临床实践中应用的医疗从业者和政策制定者具有重要意义。