Cohen Deborah J, Keller Sara R, Hayes Gillian R, Dorr David A, Ash Joan S, Sittig Dean F
Department of Family Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, FM, Portland, Oregon 97239.
Department of Informatics, Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, California 92697.
Pers Ubiquitous Comput. 2015 Jan 1;19(1):91-102. doi: 10.1007/s00779-014-0804-1.
We conducted a meta-synthesis of five different studies that developed, tested, and implemented new technologies for the purpose of collecting Observations of Daily Living (ODL). From this synthesis, we developed a model to explain user motivation as it relates to ODL collection. We describe this model that includes six factors that motivate patients' collection of ODL data: usability, illness experience, relevance of ODLs, information technology infrastructure, degree of burden, and emotional activation. We show how these factors can act as barriers or facilitators to the collection of ODL data and how interacting with care professionals and sharing ODL data may also influence ODL collection, health-related awareness, and behavior change. The model we developed and used to explain ODL collection can be helpful to researchers and designers who study and develop new, personal health technologies to empower people to improve their health.
我们对五项不同的研究进行了元综合分析，这些研究旨在开发、测试和应用用于收集日常生活观察（ODL）的新技术。通过这次综合分析，我们构建了一个模型来解释与ODL收集相关的用户动机。我们描述了这个模型，它包含六个激发患者收集ODL数据的因素：可用性、疾病体验、ODL的相关性、信息技术基础设施、负担程度和情感激活。我们展示了这些因素如何成为ODL数据收集的障碍或促进因素，以及与护理专业人员互动和共享ODL数据如何也可能影响ODL收集、健康相关意识和行为改变。我们开发并用于解释ODL收集的模型，可能会对研究和开发新型个人健康技术以帮助人们改善健康状况的研究人员和设计师有所帮助。
