Exploring Patients' Intentions for Continuous Usage of mHealth Services: Elaboration-Likelihood Perspective Study
Exploring Patients' Intentions for Continuous Usage of mHealth Services: Elaboration-Likelihood Perspective Study
复制标题
探索患者持续使用移动医疗服务的意图：详细似然透视研究
DOI：
10.2196/17258
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发表时间：
2020-04-06
影响因子：
5
通讯作者：
Wang, Xifu
中科院分区：
文献类型：
--
作者：
Guo, Xitong;Chen, Shuqing;Wang, Xifu
背景随着Web 2. 0技术的日益快速发展，移动的健康护理（mHealth）在健康管理领域的应用日益普及。因此，患者能够在网上获得咨询服务和有效的健康信息，而不受时间和地域的限制。阐述可能性模型（ELM）是一种描述态度和行为变化的双过程说服理论。目的利用ELM模型调查患者对移动医疗服务的持续使用意愿。此外，我们进一步研究了中央或外围的路线，有一个更强的影响病人的使用医疗保健管理。方法基于上述研究目标，提出了5个假设，并通过实地调查验证了这5个假设，通过态度检验了两种途径对持续使用意愿的直接和间接影响。结果患者感知的移动医疗信息质量和感知的移动医疗系统质量对个人态度有正向影响。结果显示，社交媒体的影响对患者对移动医疗服务的态度产生了积极的影响。特别是，我们的研究结果表明，患者的健康意识对社交媒体的影响和态度之间的关系有积极的影响。结论：本研究通过引入ELM作为研究的参考理论，以及通过指定健康意识的调节作用，为移动医疗服务文献做出了贡献。对于从业人员，本研究介绍了影响过程作为政策工具，管理人员可以用来激励他们的组织内的移动医疗服务的摄取。
Background With the increasingly rapid development of Web 2.0 technologies, the application of mobile health (mHealth) care in the field of health management has become popular. Accordingly, patients are able to access consulting services and effective health information online without temporal and geographical constraints. The elaboration-likelihood model (ELM) is a dual-process persuasion theory that describes the change of attitudes and behavior. Objective In this study, we drew on the ELM to investigate patients’ continuous usage intentions regarding mHealth services. In addition, we further examined which route—central or peripheral—has a stronger impact on a patient’s usage of health care management. Methods To meet these objectives, five hypotheses were developed and empirically validated using a field survey to test the direct and indirect effects, via attitude, of the two routes on continuous usage intention. Results We found that patients’ perceived mHealth information quality and perceived mHealth system quality had a positive effect on their personal attitudes. The results revealed that social media influence had a positive effect on a patient’s attitude toward mHealth services. In particular, our findings suggest that a patient’s health consciousness has a positive effect on the relationship between social media influence and attitude. Conclusions This study contributes to the mHealth services literature by introducing the ELM as a referent theory for research, as well as by specifying the moderating role of health consciousness. For practitioners, this study introduces influence processes as policy tools that managers can employ to motivate the uptake of mHealth services within their organizations.