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 ODL, 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.

中文翻译：

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建立一个模型，以了解患者对日常生活观察的收集：Project HealthDesign计划的定性元综合。

我们进行了五项不同研究的综合分析，这些研究开发，测试和实施了新技术，目的是收集日常生活观察（ODL）。通过此综合，我们开发了一个模型来解释与ODL收集有关的用户动机。我们描述了包含六个因素的模型，该模型可激发患者收集ODL数据：可用性，疾病经历，ODL的相关性，信息技术基础架构，负担程度和情绪激活。我们展示了这些因素如何成为ODL数据收集的障碍或促进者，以及与护理专业人员的互动和ODL数据的共享也可能影响ODL的收集，与健康相关的意识以及行为改变。