SCC-PG: Planning Live, Sustainable Community Asset Mapping for a Dementia e-Friendly Alabama

SCC-PG：为痴呆症电子友好型阿拉巴马州规划实时、可持续的社区资产映射

• 批准号: 1951974
• 负责人: Nicole Ruggiano
• 金额: $ 15万
• 依托单位: University of Alabama Tuscaloosa
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1951974&HistoricalAwards=false
• 关键词: SCC; PG; Planning; Live; Sustainable

Among the 5.7 million Americans with Alzheimer’s disease or related dementia (ADRD), most reside in the community and receive care from unpaid family caregivers. ADRD caregiving is complex and caregivers often report having a lack of support and barriers to services, which often results in feelings of depression, burden, and isolation. At the same time, primary care providers report being unaware of local supportive services that they can refer patients and caregivers to for support. There is particular urgency to address issues of ADRD care in Alabama, where there is an expected 17% increase in cases of ADRD over the next six years and patient/caregiver populations that are geographically isolated, vulnerable, and unaware of local support services and resources. To better support ADRD caregivers and link them to needed services, this planning project will engage community stakeholders in four regions of Alabama to initiate the development of a community asset mapping (CAM) technology that: (a) utilizes volunteered geographic information (VGI) and data mining; (b) is self-monitoring for data accuracy and quality; and (c) can be used by community residents and providers to connect families with supportive resources that address their ADRD needs. To inform the development of this technology, the planning project will collect data from a variety of stakeholders (people with ADRD, caregivers, providers, policymakers) through interviews, focus groups, and surveys. The data collected will address a number of conceptual issues in developing the proposed technology and promoting its adoption and engagement by stakeholders. The project will also explore and evaluate approaches to managing data that takes into account both space and time, available data sources for data mining, and data mining algorithms for the proposed technology. Overall, the planning project will explore how new crowd sourcing protocols may drive community engagement with a VGI technology that aims to address issues of ADRD care and caregiving. More importantly, the project can potentially transform social science research on ADRD care and caregiving from existing technology approaches that are used in isolation (e.g., internet searches) or by small groups (e.g., virtual support groups) towards a connected community approach that facilitates social and mutual support and is driven by local needs to improve care and quality of life.This project is jointly funded by Smart and Connected Communities and the Established Program to Stimulate Competitive Research (EPSCoR).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.

在患有阿尔茨海默氏病或​​相关痴呆症（ADRD）的570万美国人中，大多数居住在社区中，并获得了未付家庭护理人员的护理。 Adrd Caregiving很复杂，护理人员经常报告缺乏支持和服务障碍，这通常会导致抑郁症，伯恩（Burnen）和孤立感。同时，初级保健提供者报告说，他们不知道当地的支持服务，他们可以将患者和看护人转介给他们以寻求支持。在阿拉巴马州有特别的迫切需要解决ADRD护理问题，在未来六年中，ADRD的病例预计会增加17％，并且在地理位置上孤立，脆弱且不知道本地支持服务和资源的患者/看护人人群。为了更好地支持ADRD护理人员并将其链接到所需的服务，该计划项目将吸引阿拉巴马州四个地区的社区利益相关者，以启动社区资产制图（CAM）技术的开发：（a）利用志愿地理信息（VGI）和数据挖掘； （b）正在自我监控数据的准确性和质量； （c）社区居民和提供者可以使用，将家庭与满足其ADRD需求的支持资源联系起来。为了告知这项技术的开发，计划项目将通过访谈，焦点小组和调查从各种利益相关者（ADRD，护理人员，提供者，政策制定者）​​那里收集数据。收集的数据将解决开发提出的技术并促进利益相关者的采用和参与的许多概念问题。该项目还将探索和评估管理数据挖掘时空，可用数据源的数据以及所提出技术的数据挖掘算法的方法。总体而言，该计划项目将探讨新的人群来源协议如何推动社区与VGI技术的参与，该技术旨在解决ADRD护理和护理问题。更重要的是，该项目可以从现有技术方法（例如，互联网搜索）或小组（例如虚拟支持小组）中使用现有技术方法的社会科学研究对社会和相互支持的相关社区方法，从而促进社区和相互支持的社区方法。 （EPSCOR）。该奖项反映了NSF的法定使命，并通过使用基金会的知识分子优点和更广泛的影响评估标准评估被认为是珍贵的支持。

项目成果

Community Asset Mapping in Public Health: A Review of Applications and Approaches

• DOI: 10.1080/19371918.2022.2114568
• 发表时间: 2022-08-25
• 期刊: SOCIAL WORK IN PUBLIC HEALTH
• 影响因子: 2.5
• 作者: Luo, Yan;Ruggiano, Nicole;Jiang, Zhe
• 通讯作者: Jiang, Zhe