Using mHealth App to Support Treatment Decision-Making for Knee Arthritis: Patient Perspective.
Using mHealth App to Support Treatment Decision-Making for Knee Arthritis: Patient Perspective.
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使用MHealth应用程序支持膝关节炎的治疗决策：患者的观点。
DOI：
10.13063/2327-9214.1284
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发表时间：
2017-04-20
期刊：
影响因子：
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通讯作者：
Franklin P
中科院分区：
文献类型：
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作者：
Zheng H;Tulu B;Choi W;Franklin P
移动的健康（mHealth）技术可用于整合到晚期膝关节炎患者的医疗决策中。我们探索了患者对移动的健康应用程序的内容和设计的偏好，以促进每日症状捕获和汇总反馈报告，以便为治疗决策提供信息，包括使用全膝关节置换手术（TKR）。患者焦点小组进行收集mHealth应用程序开发的要求，并完善应用程序的设计和内容。临床医生（物理治疗师，外科医生）进行访谈，以了解临床医生的期望，从应用程序生成的总结趋势报告。十六名患者参加焦点小组，平均年龄为67岁，63%为女性，三名临床医生参加了临床医生访谈。初步研究结果显示，患者更喜欢简单的点击用户界面，而不是多次点击或滑块方法，以及垂直问题布局，而不是水平方向。患者喜欢参与进度反馈报告和教育提示。患者和临床医生都发现趋势结局总结报告很有帮助，它提供了关于症状是否以及如何随时间变化的更精确的细节。用户输入可以告知mHealth技术的设计和实施，以满足患者的治疗决策需求。必须通过以患者为中心的应用程序设计来考虑患者的优先事项。
Mobile health (mHealth) technology can be used to integrate into medical decisionmaking for patients with advanced knee arthritis. We explored patient preferences on content and design of a mobile health app to facilitate daily symptom capture and summary feedback reporting, in order to inform treatment decisions, including use of total knee replacement surgery (TKR). Patient focus groups were conducted to gather requirements for mHealth app development and to refine the design and content of the app. Clinician (physical therapist, surgeon) interviews were conducted to understand clinician expectations from the summary trend report generated by the app. Sixteen patients attended focus groups with an average age of 67 and 63% female, and three clinicians participated in clinician interviews. The preliminary findings revealed that the patients preferred easy tap user interfaces to multitap or slider methods, and vertical question layout to horizontal orientation. Patients liked to be engaged by progress feedback reports and educational tips. Both patients and clinicians found a trended outcome summary report helpful which provides more precise details on whether and how the symptoms are changing over time. User input can inform the design and implementation of mHealth technology to meet patient needs for their treatment decisions. Patient priorities must be considered through patient-centered app design.