@文章{信息:doi/10.2196/28086，作者="Ahadzadeh, Ashraf Sadat and Wu, Shin Ling and Ong, Fon Sim and Deng Ruolan"，标题="技术接受和使用统一理论对内部健康控制位点与移动健康采用关系的中介影响:横向研究"，期刊="J Med Internet Res"，年="2021"，月="12"，日="29"，卷="23"，数="12"，页数="e28086"，关键词="移动健康;移动健康;内部健康控制点;性能的期望;工作寿命;社会影响;背景:移动医疗(mHealth)作为一种信息和通信技术的创新形式，可以通过加强通信和健康管理、降低成本和增加卫生服务的可及性，有效地提供高质量的卫生保健。研究发现，个体的内部健康控制点(HLOC)与采用移动健康的行为意图相关。然而，人们对这种关联的潜在机制知之甚少。目的:本研究的主要目的是探讨技术接受与使用统一理论(UTAUT)对内部HLOC与移动健康使用行为意愿之间关系的中介作用。 Methods: A total of 374 responses were collected from Malaysian adult users of mHealth, using convenience and snowball sampling methods. Partial least squares structural equation modeling was used to analyze the data. Data were collected for variables, including demographics, internal HLOC, and modified UTAUT constructs (ie, performance expectancy, effort expectancy, and social influence). Results: The results showed that there was no direct relationship between internal HLOC and the behavioral intention to use mHealth ($\beta$=−0.039, P=.32). The indirect relationship between internal HLOC and the intent to adopt mHealth was supported, indicating that the UTAUT constructs performance expectancy ($\beta$=0.104, P<.001), effort expectancy ($\beta$=0.056, P=.02), and social influence ($\beta$=0.057, P=.002) mediated this relationship. The results showed full mediation, with total variance explained at 47.2{\%}. Conclusions: This study developed an integrative model, where a health-related disposition (internal HLOC), mHealth-related beliefs (performance expectancy and effort expectancy), and normative pressure (social influence) were combined to explain the underlying mechanism of the behavioral intent to adopt mHealth. The results showed that the intention to adopt mHealth is mediated by the influence of UTAUT factors, while HLOC has no direct effect on adoption intention. The findings provide insights into augmenting mHealth adoption among the public by enhancing the perceived benefits of mHealth, helping design more effective and user-friendly mHealth tools, and capitalizing on social normative influence to adopt mHealth. This study utilized the constructs of the UTAUT model to determine the intention to use mHealth. Future research should focus on other health- and technology-related theories to ascertain other possible factors influencing the behavioral intent of mHealth adoption. ", issn="1438-8871", doi="10.2196/28086", url="//www.mybigtv.com/2021/12/e28086", url="https://doi.org/10.2196/28086", url="http://www.ncbi.nlm.nih.gov/pubmed/34964718" }