患者生成的数据如何加强慢性病护理中患者与医疗服务提供者的沟通:设计科学研究的实地考察

IF 3.1 3区 医学 Q2 MEDICAL INFORMATICS JMIR Medical Informatics Pub Date : 2024-09-10 DOI:10.2196/57406
Dario Staehelin, Mateusz Dolata, Livia Stöckli, Gerhard Schwabe
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引用次数: 0

摘要

背景:以患者为中心的护理等现代方法要求医疗服务提供者(如护士、医生和营养师)激活并让患者参与到他们的医疗保健中来。移动医疗(mHealth)是这一努力中不可或缺的一部分,以便更加以患者为中心。然而,结构和监管方面的障碍阻碍了其应用。现有的移动医疗应用程序往往无法充分激活和吸引患者。此外,此类系统很少能与医疗服务提供者的工作流程很好地整合。研究目的本研究探讨了在患者与医护人员交流中引入患者生成的数据时,患者与医护人员的交流行为会发生怎样的变化。研究方法我们采用设计科学的方法来设计 PatientHub,这是一个综合数字医疗系统,能让患者和医疗服务提供者参与到以患者为中心的体重管理护理中。PatientHub 的开发经历了 4 次迭代,并在为期 3 周的实地研究中对 27 名患者和 6 名医生进行了评估。我们分析了 54 个 PatientHub 支持的咨询视频录像以及对患者和医生的访谈。研究结果患者汇 "将患者生成的数据引入患者与医生的交流中。在将患者生成的数据引入会诊时,我们观察到 3 种新出现的行为。我们将这些行为命名为 "情绪标签"、"期望减速 "和 "决策乒乓"。我们的研究结果表明了这些行为如何加强患者与医护人员之间的沟通,并促进以患者为中心的护理。引入患者生成的数据所产生的行为使会诊更加个性化、可操作、可信和平等。结论:本研究的结果表明,患者生成的数据可以激活并吸引患者和医疗服务提供者,从而促进以患者为中心的医疗服务。我们提出了以患者为中心的交流的 3 项设计原则。以患者为中心的交流为未来移动医疗系统的设计提供了参考,并为移动医疗支持的慢性病患者与医疗服务提供者交流的内部运作提供了启示。
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How Patient-Generated Data Enhance Patient-Provider Communication in Chronic Care: Field Study in Design Science Research
Background: Modern approaches such as patient-centered care ask health care providers (eg, nurses, physicians, and dietitians) to activate and include patients to participate in their health care. Mobile health (mHealth) is integral in this endeavor to be more patient centric. However, structural and regulatory barriers have hindered its adoption. Existing mHealth apps often fail to activate and engage patients sufficiently. Moreover, such systems seldom integrate well with health care providers’ workflow. Objective: This study investigated how patient-provider communication behaviors change when introducing patient-generated data into patient-provider communication. Methods: We adopted the design science approach to design PatientHub, an integrated digital health system that engages patients and providers in patient-centered care for weight management. PatientHub was developed in 4 iterations and was evaluated in a 3-week field study with 27 patients and 6 physicians. We analyzed 54 video recordings of PatientHub-supported consultations and interviews with patients and physicians. Results: PatientHub introduces patient-generated data into patient-provider communication. We observed 3 emerging behaviors when introducing patient-generated data into consultations. We named these behaviors emotion labeling, expectation decelerating, and decision ping-pong. Our findings show how these behaviors enhance patient-provider communication and facilitate patient-centered care. Introducing patient-generated data leads to behaviors that make consultations more personal, actionable, trustworthy, and equal. Conclusions: The results of this study indicate that patient-generated data facilitate patient-centered care by activating and engaging patients and providers. We propose 3 design principles for patient-centered communication. Patient-centered communication informs the design of future mHealth systems and offers insights into the inner workings of mHealth-supported patient-provider communication in chronic care.
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来源期刊
JMIR Medical Informatics
JMIR Medical Informatics Medicine-Health Informatics
CiteScore
7.90
自引率
3.10%
发文量
173
审稿时长
12 weeks
期刊介绍: JMIR Medical Informatics (JMI, ISSN 2291-9694) is a top-rated, tier A journal which focuses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, ehealth infrastructures and implementation. It has a focus on applied, translational research, with a broad readership including clinicians, CIOs, engineers, industry and health informatics professionals. Published by JMIR Publications, publisher of the Journal of Medical Internet Research (JMIR), the leading eHealth/mHealth journal (Impact Factor 2016: 5.175), JMIR Med Inform has a slightly different scope (emphasizing more on applications for clinicians and health professionals rather than consumers/citizens, which is the focus of JMIR), publishes even faster, and also allows papers which are more technical or more formative than what would be published in the Journal of Medical Internet Research.
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