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

CHS：小型：支持自我跟踪和患者与提供者协作，使用数据实现偏头痛患者的多个和不断变化的目标

• 批准号: 1813675
• 负责人: James Fogarty
• 金额: $ 49.98万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1813675&HistoricalAwards=false
• 关键词: CHS; Small; Support; Self; Tracking

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.

技术支持的自我跟踪在各种日常领域越来越普遍，包括财务、食物、位置、身体活动、时间使用和体重。在个人健康方面，许多患者和提供者相信技术支持的自我跟踪可以提供更完整、准确和长期的理解。然而，当前技术支持的自我跟踪工具通常无法有效支持自我跟踪数据与人们对该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、患者与提供者协作目标以及这些目标对数据收集和分析需求的影响。该团队将基于使用目标模板开发用于自我跟踪的新方法和工具，以及围绕这些目标进行患者与提供者协作的新方法和工具。该团队将与偏头痛患者和医疗服务提供者密切合作，设计和评估方法和工具，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追踪研究。该项目还将为从小学到研究生的学生提供研究和教育机会，该团队专门针对计算机研究中代表性不足的群体的学生。该团队将通过参与式设计流程、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描述患者自我跟踪目标、患者与提供者协作目标以及与基础数据的关系。他们将开发目标模板，支撑决定跟踪内容、时间和方式的过程，并将在一系列移动、网络和后端自我跟踪工具中将这些模板与适当的分析和可视化一起实施。然后，他们将利用这种新颖的自我跟踪基础设施来检查目标模板的使用情况，以解决针对个人的多个和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，以及在跨多个和不断变化的目标进行建模时使用异构数据的挑战。他们还将研究目标模板在患者与提供者协作中的使用，包括跟踪目标的协作定义以及根据患者和提供者可以为相同基础数据带来的不同目标和观点进行交互式管理和数据转换。评估将在现场部署中进行，包括检查偏头痛患者自我跟踪的部署、检查专业头痛诊所和初级保健环境中患者与提供者之间的合作，以及检查为患者和提供者提供专业知识的方法。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Examining Opportunities for Goal-Directed Self-Tracking to Support Chronic Condition Management.

• DOI: 10.1145/3369809
• 发表时间: 2019-12-01
• 期刊: Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies
• 作者: Schroeder, Jessica;Karkar, Ravi;Munson, Sean A
• 通讯作者: Munson, Sean A

“They don’t always think about that”: Translational Needs in the Design of Personal Health Informatics Applications

“他们并不总是考虑这一点”：个人健康信息学应用程序设计中的转化需求

• DOI: 10.1145/3411764.3445587
• 发表时间: 2021
• 期刊: Proceedings of the ACM Conference on Human Factors in Computing Systems
• 作者: Kirchner, Susanne;Schroeder, Jessica;Fogarty, James;Munson, Sean A.
• 通讯作者: Munson, Sean A.

The Importance of Starting With Goals in N-of-1 Studies

• DOI: 10.3389/fdgth.2020.00003
• 发表时间: 2020-05-22
• 期刊: FRONTIERS IN DIGITAL HEALTH
• 作者: Munson, Sean A.;Schroeder, Jessica;Fogarty, James
• 通讯作者: Fogarty, James