CHS: Small: Support for Self-Tracking and Patient-Provider Collaboration Using Data for Multiple and Evolving Goals in People with Migraine

技术支持的自我跟踪在各种日常领域中越来越普遍，包括财务、食物、位置、体力活动、时间使用和体重。在个人健康方面，许多患者和提供者认为，技术支持的自我跟踪可以提供更完整、准确和长期的了解。然而，目前的技术支持的自我跟踪工具往往无法有效地支持自我跟踪数据与人们对这些数据的目标之间的关系。该项目将开发新的方法和工具来帮助人们表示、管理和跟踪目标及其与个人数据的关系。在偏头痛相关跟踪的特定背景下，该团队将描述患者自我跟踪目标、患者与提供者合作目标以及这些目标对数据收集和分析需求的影响。该团队将开发基于使用目标模板的自我跟踪的新方法和工具，以及围绕这些目标的患者与提供者协作的新方法和工具。该团队将在方法和工具的设计和评估方面与偏头痛患者和医疗保健提供者密切合作，并将通过传播方法、工具和数据集来进一步追求更广泛的影响，以支持其他人进行自我跟踪研究。该项目还将为从小学到研究生院的学生提供研究和教育机会，该团队专门针对计算研究中代表性不足的群体的学生。该团队将通过参与性设计过程、偏头痛患者的部署以及检查患者与提供者合作的访谈和观察来表征患者自我跟踪目标、患者与提供者协作目标以及与底层数据的关系。他们将开发目标模板，以确定跟踪什么、何时以及如何跟踪的过程，并将在一系列移动、网络和后端自我跟踪工具中实施这些模板以及适当的分析和可视化。然后，他们将利用这一新颖的自我跟踪基础设施来研究目标模板的使用，以应对针对个人的多个不断变化的目标定制跟踪的挑战，将跟踪集成到日常生活中的挑战，以及在跨多个不断变化的目标建模时使用异类数据的挑战。他们还将研究目标模板在患者-提供者协作中的使用，包括在跟踪目标的协作定义中，以及在根据患者和提供者可以为相同的基础数据带来的不同目标和视角进行交互管理和数据转换时。评估将在实地部署中进行，包括部署检查偏头痛患者的自我跟踪，检查专业头痛诊所和初级保健环境中患者与提供者的合作，以及检查为患者和提供者搭建专业知识的方法。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Technology-supported self-tracking is increasingly common across a variety of everyday domains, including finances, food, location, physical activity, time use, and weight. In the context of personal health, many patients and providers believe technology-supported self-tracking can offer a more complete, accurate, and long-term understanding. However, current tools for technology-supported self-tracking often fail to effectively support the relationship between self-tracking data and the goals that people have for that data. This project will develop new methods and tools to help people represent, manage, and track goals and their relationships to personal data. Working in the specific context of migraine-related tracking, the team will characterize patient self-tracking goals, patient-provider collaboration goals, and the implications of those goals for needs in data collection and analysis. The team will develop new methods and tools for self-tracking, based on using goal templates, as well as new methods and tools for patient-provider collaboration around these goals. The team will work closely with people with migraine and health providers in both the design and assessment of methods and tools, and will further pursue broader impacts through disseminating the methods, tools, and datasets to support others in doing self-tracking research. The project will also provide research and education opportunities for students from grade school to grad school, with the team specifically targeting students from groups that are underrepresented in computing research.The team will characterize patient self-tracking goals, patient-provider collaboration goals, and relationships to underlying data through participatory design processes, deployments with people with migraine, and interviews and observations examining patient-provider collaborations. They will develop goal templates that scaffold the process of deciding what, when, and how to track, and will implement these templates together with appropriate analyses and visualizations in a constellation of mobile, web, and back-end self-tracking tools. They will then leverage this novel self-tracking infrastructure to examine the use of goal templates in addressing challenges of customizing tracking to a person's multiple and evolving goals, challenges of integrating tracking into everyday life, and challenges of using heterogeneous data in modeling across multiple and evolving goals. They will also examine the use of goal templates in patient-provider collaboration, including in the collaborative definition of tracking goals and in interactive curation and transformation of data according to the distinct goals and perspectives that patients and providers can bring to the same underlying data. Assessment will be conducted in field deployments, including deployments examining self-tracking by people with migraine, examining patient-provider collaborations in a specialty headache clinic and primary care contexts, and examining approaches to scaffolding of expertise for patients and providers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.