Chung Chia-Fang, Dew Kristin, Cole Allison, Zia Jasmine, Fogarty James, Kientz Julie A, Munson Sean A
Human Centered Design & Engineering, DUB Group, University of Washington.
Family Medicine, DUB Group, University of Washington.
CSCW Conf Comput Support Coop Work. 2016 Feb 27;2016:770-786. doi: 10.1145/2818048.2819926.
Patient-generated data is increasingly common in chronic disease care management. Smartphone applications and wearable sensors help patients more easily collect health information. However, current commercial tools often do not effectively support patients and providers in collaboration surrounding these data. This paper examines patient expectations and current collaboration practices around patient-generated data. We survey 211 patients, interview 18 patients, and re-analyze a dataset of 21 provider interviews. We find that collaboration occurs in every stage of self-tracking and that patients and providers create boundary negotiating artifacts to support the collaboration. Building upon current practices with patient-generated data, we use these theories of patient and provider collaboration to analyze misunderstandings and privacy concerns as well as identify opportunities to better support these collaborations. We reflect on the social nature of patient-provider collaboration to suggest future development of the stage-based model of personal informatics and the theory of boundary negotiating artifacts.
患者生成的数据在慢性病护理管理中越来越普遍。智能手机应用程序和可穿戴传感器帮助患者更轻松地收集健康信息。然而,当前的商业工具往往无法有效地支持患者和医疗服务提供者围绕这些数据进行协作。本文探讨了患者对患者生成数据的期望以及当前的协作实践。我们对211名患者进行了调查,采访了18名患者,并重新分析了21次医疗服务提供者访谈的数据集。我们发现,协作发生在自我跟踪的每个阶段,患者和医疗服务提供者会创建边界协商工件来支持协作。基于当前患者生成数据的实践,我们运用这些患者与医疗服务提供者协作的理论来分析误解和隐私问题,并确定更好地支持这些协作的机会。我们思考患者与医疗服务提供者协作的社会性质,以建议个人信息学基于阶段的模型和边界协商工件理论的未来发展。