%0期刊文章%@ 2291-5222 %I JMIR出版物%V 5% 卡塔尔世界杯8强波胆分析N 12% P e177% T患者对智能手机健康技术用于慢性疾病管理的接受程度:理论模型与实证检验%A窦，俞凯莉，邓萍，刘宁，方A，李颖萍，季振业，杜玉萌，卢宁凯，段旭东，段慧龙+浙江大学生物医学工程与仪器科学学院生物医学工程教育部重点实验室，浙江大学浙江大道38号，浙江大学玉泉校区周一清大厦512号，浙江杭州，310027,86 571 2295 2693，zju.dengning@gmail.com %K智能手机%K移动健康%K患者%K高血压%K慢性疾病%K疾病管理%D 2017 %7 06.12.2017 %9原始论文%J JMIR移动健康Uhealth %G英语%X背景:慢性疾病患者往往面临来自困难共病的多重挑战。只有他们接受并使用智能手机健康技术，才能帮助他们管理自己的病情。目的:本研究的目的是开发和测试一个理论模型，以预测和解释影响患者接受智能手机健康技术用于慢性疾病管理的因素。方法:对影响患者接受智能手机健康技术的多种理论和因素进行了综述。基于技术接受模型、双因素模型、健康信念模型，以及访谈中发现的可能影响患者对智能手机健康技术用于慢性疾病管理的接受程度的因素，构建混合理论模型。数据收集自157名高血压患者实际使用智能手机健康应用程序的患者问卷调查和计算机日志记录。采用偏最小二乘法对理论模型进行检验。结果:该模型在患者采用智能手机健康技术的意愿方差中占0.412。在实际使用中，使用意向占方差的0.111，与实际使用差异呈显著的弱相关。 Perceived ease of use was affected by patients’ smartphone usage experience, relationship with doctor, and self-efficacy. Although without a significant effect on intention to use, perceived ease of use had a significant positive influence on perceived usefulness. Relationship with doctor and perceived health threat had significant positive effects on perceived usefulness, countering the negative influence of resistance to change. Perceived usefulness, perceived health threat, and resistance to change significantly predicted patients’ intentions to use the technology. Age and gender had no significant influence on patients’ acceptance of smartphone technology. The study also confirmed the positive relationship between intention to use and actual use of smartphone health apps for chronic disease management. Conclusions: This study developed a theoretical model to predict patients’ acceptance of smartphone health technology for chronic disease management. Although resistance to change is a significant barrier to technology acceptance, careful management of doctor-patient relationship, and raising patients’ awareness of the negative effect of chronic disease can negate the effect of resistance and encourage acceptance and use of smartphone health technology to support chronic disease management for patients in the community. %M 29212629 %R 10.2196/mhealth.7886 %U https://mhealth.www.mybigtv.com/2017/12/e177/ %U https://doi.org/10.2196/mhealth.7886 %U http://www.ncbi.nlm.nih.gov/pubmed/29212629