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首页> 外文期刊>Professional Communication, IEEE Transactions on >Patients' Adoption of WSN-Based Smart Home Healthcare Systems: An Integrated Model of Facilitators and Barriers
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Patients' Adoption of WSN-Based Smart Home Healthcare Systems: An Integrated Model of Facilitators and Barriers

机译：患者采用基于WSN的智能家庭医疗保健系统：促进者和障碍者的集成模型

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Background: Patient-centered care emphasizes care coordination and communication through active involvement of patients, their families, physicians, and other professionals to improve decision making. Smart telecommunication technology and the Internet of Things, such as wireless-sensor-network-based smart home healthcare systems (WSN-SHHS) facilitate communication and collaboration among these different roles. Research problem: Despite the great potential of such systems to improve the quality and experience, and lower the cost of health care, the technology has not been widely adopted partly due to an inadequate understanding of user expectations, needs, and preferences. This study addresses facilitators and barriers with regard to WSN-SHHS adoption by identifying important sociotechnical, cognitive, affective, and contextual factors. Research questions: What are the main facilitators and barriers of patients' adoption of WSN-SHHS? How can we contextualize a generic technology adoption model for WSN-SHHS that takes into account unique characteristics of the domain? Literature review: We surveyed the literature in WSN-SHHS research and application, technology adoption theories, and the pleasure-arousal-dominance emotional state model. We discovered that WSN-SHHS research has focused on technology development but has given little attention to the issue of patients' adoption. Methodology: We used a mixed method design that combined an interview and survey over two studies. Participants were recruited from home healthcare agencies in the eastern US. In semistructured interviews, we collected data from 15 home healthcare patients and medical professionals, and analyzed the data using Kvale's approach. In our online- and paper-based surveys, we analyzed the data from 140 respondents using partial least square. Results and conclusions: We identified several new constructs in relation to WSN-SHHS adoption, including human detachment concerns, privacy concerns, life-quality expectancy and cost concerns. In addition, we confirmed the constructs from the general adoption model. Based on the findings of the qualitative study, the researchers created a research model. The quantitative study provided empirical support for the model, which has substantial predictive power accounting for more than half of the variance in WSN-SHHS adoption. In particular, our findings reveal that human detachment concerns rather than performance expectancy is the strongest predictor of patients' adoption of WSN-SHHS.
机译：背景：以患者为中心的护理强调通过患者，其家人，医生和其他专业人员的积极参与来改善护理决策和沟通。智能电信技术和物联网，例如基于无线传感器网络的智能家庭医疗保健系统（WSN-SHHS），可以促进这些不同角色之间的通信和协作。研究问题：尽管此类系统在提高质量和体验以及降低医疗保健成本方面具有巨大潜力，但由于对用户期望，需求和偏好的了解不足，该技术尚未得到广泛采用。这项研究通过确定重要的社会技术，认知，情感和情境因素，解决了采用WSN-SHHS的促进因素和障碍。研究问题：患者采用WSN-SHHS的主要促进因素和障碍是什么？我们如何将WSN-SHHS的通用技术采用模型关联到上下文中，并考虑到域的独特特性？文献综述：我们调查了WSN-SHHS研究与应用，技术采用理论以及愉悦-主动-主导情绪状态模型的文献。我们发现WSN-SHHS研究专注于技术开发，但很少关注患者的采用问题。方法：我们采用了混合方法设计，将两项研究的访谈和调查相结合。参与者是从美国东部的家庭保健机构招募的。在半结构化访谈中，我们收集了15位家庭医疗保健患者和医疗专业人员的数据，并使用Kvale的方法分析了数据。在我们的在线和纸质调查中，我们使用偏最小二乘分析了140位受访者的数据。结果与结论：我们确定了与采用WSN-SHHS有关的几种新结构，包括对人类超脱的关注，对隐私的关注，对生活质量的期望以及对成本的关注。另外，我们从通用采用模型中确认了构造。基于定性研究的结果，研究人员创建了一个研究模型。定量研究为该模型提供了经验支持，该模型具有强大的预测能力，占采用WSN-SHHS差异的一半以上。特别是，我们的研究结果表明，对人的超支感而不是预期的表现是患者采用WSN-SHHS的最强预测指标。

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