SCC-PG: Optimizing sociotechnical interventions for healthcare access using community sensing

SCC-PG：利用社区感知优化医疗保健获取的社会技术干预措施

• 批准号: 2334724
• 负责人: Arthi Rao
• 金额: $ 15万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2334724&HistoricalAwards=false
• 关键词: SCC; PG; Optimizing; sociotechnical; interventions

Healthcare systems are increasingly recognizing the critical importance of the social determinants of health (SDOH) in impacting an individual’s ability to access health-promoting resources and living environments. One element of SDOH, transportation disadvantage (TD), refers to the absence of reliable transportation at the individual and community level, preventing an estimated 3.6 million people per year from accessing timely medical care, disproportionately impacting people of color, rural communities, disabled people, and low-income populations. The process of integrating and connecting social and health data to decision making, intervention design, and impact evaluation become critical as health systems seek interventions to lessen health inequity attributable to TD. To address these gaps, this SCC-PG project will advance data-informed time and place-responsive TD solutions and other SDOH interventions in the long term by leveraging industry partnerships, novel data collection and computational methods, and stakeholder engagement. By integrating community and individual level data to measure TD, this research will demonstrate innovative resource allocation models, ultimately reducing transportation barriers to healthcare access and improving health equity. While TD is a recognized barrier to healthcare access, its definition, impacts, and associated interventions are investigated and implemented in a fragmented manner. Understanding these relationships can support the design of customized interventions to reduce health disparities resulting from TD. Healthcare systems currently rely on coarse data that do not adequately capture spatial and temporal variations of SDOH needs within communities. Interoperability between data sources and how SDOH data will be incorporated into decision-making is also unclear. Through the planning grant, our work will 1) advance knowledge on socioecological theories of TD through extensive stakeholder engagement; 2) develop community sensing methods to address lack of granular TD/SDOH data to enable comprehensive analysis; and 3) demonstrate the integration of multilevel TD/SDOH data into optimization frameworks for decision-making for a mobile clinic pilot project in 6 North Carolina counties. Our sociotechnical approach lays the foundation for a systems-based framework to address SDOH in a smart, sustainable, and holistic manner. This work aims to improve the well-being of individuals and communities by focusing on primary prevention and upstream risk reduction strategies that can significantly improve population health and equity.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.

医疗保健系统越来越认识到健康社会决定因素 (SDOH) 在影响个人获得健康促进资源和生活环境的能力方面的至关重要性。SDOH 的要素之一是交通劣势 (TD)，是指缺乏可靠的交通。在个人和社区层面，每年约有 360 万人无法获得及时的医疗服务，对有色人种、农村社区、残疾人和低收入人群产生了不成比例的影响。决定随着卫生系统寻求干预措施以减少 TD 造成的健康不平等，制定、干预设计和影响评估变得至关重要。为了解决这些差距，该 SCC-PG 项目将推进基于数据的时间和地点响应型 TD 解决方案和其他 SDOH 干预措施。从长远来看，通过利用行业合作伙伴关系、新颖的数据收集和计算方法以及利益相关者的参与，通过整合社区和个人层面的数据来衡量 TD，这项分配研究将展示创新的资源模型，最终减少获得医疗服务的交通障碍并改善健康。虽然 TD 是获得医疗保健的一个公认的障碍，但其定义、影响和相关干预措施以分散的方式进行调查和实施，可以支持设计定制干预措施，以减少当前 TD 医疗保健系统造成的健康差异。依赖于粗略数据，无法充分捕捉社区内 SDOH 需求的空间和时间变化。 数据源之间的互操作性以及 SDOH 数据如何纳入决策也不清楚。通过规划拨款，我们的工作将 1) 推进知识。 TD的社会生态学理论通过广泛的利益相关者参与；2) 开发社区感知方法来解决缺乏精细 TD/SDOH 数据的问题，以实现全面分析；3) 展示将多级 TD/SDOH 数据集成到移动诊所试点项目决策的优化框架中；我们的社会技术方法为基于系统的框架奠定了基础，以智能、可持续和整体的方式解决 SDOH。这项工作旨在通过关注初级预防和预防来改善个人和社区的福祉。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。