CAREER: Enabling Healthier Futures: Understanding and Strengthening Sociotechnical Ecologies of Frontline Health Work

职业：实现更健康的未来：理解和加强前线卫生工作的社会技术生态

• 批准号: 2047726
• 负责人: Neha Kumar
• 金额: $ 49.99万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2047726&HistoricalAwards=false
• 关键词: CAREER; Enabling; Healthier; Futures; Understanding

The COVID-19 pandemic emphasizes how sociotechnical ecologies of frontline health work are vital to the wellbeing of society at large. This project will work to develop new knowledge about how to make frontline health infrastructures that deliver critical last-mile care in resource-constrained, underserved communities more robust, by leveraging data-driven and technologically mediated approaches to global health. Prior research has found that the data that such approaches rely on is frequently biased, incomplete, or missing. As a result, data infrastructures--individual health records, frontline health surveys, activity on social media and online health fora—often fail to capture local, sociocultural specificities. This project will work to actively engage the underrepresented voices of predominantly women frontline health workers (FHWs)—also among the most vulnerable and impacted—toward designing technology-mediated frontline health workflows. It will investigate supporting these technology workflows by making frontline health work more visible, distributing the burden of care work through selective automation, and providing avenues workers can use to transition toward improved economic livelihoods. It will work toward improved health outcomes for care-seekers from underserved communities, improved futures for the workers, and robust overall healthcare ecologies.The project will research how data-driven and technologically mediated healthcare can be directed toward the design of stronger frontline health ecologies, using community-centric, participatory approaches. Advancing scholarship at the intersection of human-centered computing and frontline health, the project will investigate three research questions. First, how can data practices and tools be designed and augmented to capture the work of FHWs that is currently not adequately visible, to enable better recognition of this work across state and healthcare authorities? Second, how can routine, everyday workflows be automated or supported to make work more manageable and the burden effectively distributed? Third, how can mobile health technologies support digital and data literacies among FHWs, to enable professional growth and employment opportunities in increasingly sociotechnical ecologies of frontline health? These research questions will be addressed through a combination of data collection methods, in conjunction with designing and developing systems, with local partners. The project will synthesize elements to contribute a design framework that grapples with interlocking power structures and oppressions, in order to impact future research undertakings with communities that have been historically marginalized.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.

COVID-19 大流行强调了一线卫生工作的社会技术生态对于整个社会的福祉至关重要。该项目将致力于开发新知识，了解如何建设一线卫生基础设施，在资源有限的地区提供关键的最后一英里护理。通过利用数据驱动和技术介导的全球健康方法，使服务不足的社区变得更加强大。 先前的研究发现，这些方法所依赖的数据经常是有偏见的、不完整的或缺失的。健康记录、一线健康调查、社交媒体和在线健康论坛上的活动通常无法捕捉当地的社会文化特征。该项目将努力积极吸引以女性为主的一线卫生工作者 (FHW) 的声音，这些工作者也是最弱势群体。它将研究通过使一线卫生工作更加可见、通过选择性自动化分配护理工作负担以及提供工作人员可以用来过渡的途径来支持这些技术工作流程。它将致力于改善服务不足社区寻求护理者的健康状况、改善工人的未来以及健全的整体医疗生态系统。该项目将研究如何将数据驱动和技术介导的医疗保健用于设计该项目将研究三个研究问题，即如何设计和增强数据实践和工具来捕获数据。第二，如何自动化或支持日常工作流程，使工作更易于管理并有效分配负担？移动医疗技术能否支持家庭健康工作者的数字和数据素养，从而在日益社会化的一线医疗生态中实现专业发展和就业机会？这些研究问题将通过数据收集方法与设计和开发系统相结合来解决。当地的该项目将综合各种要素，提供一个设计框架，反映与相互关联的权力结构和压迫的斗争，以影响历史上被边缘化的社区的未来研究工作。该奖项是 NSF 的法定使命，并被认为值得通过以下方式获得支持。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。

项目成果

“Information-Backward but Sex-Forward”: Navigating Masculinity towards Intimate Wellbeing and Heterosexual Relationships

– 信息落后但性向前 –：引导男性气质走向亲密幸福和异性恋关系

• DOI: 10.1145/3544548.3581478
• 发表时间: 2023
• 期刊: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23
• 作者: Tuli, Anupriya;Ismail, Azra;Bhat, Karthik S;Singh, Pushpendra;Kumar, Neha
• 通讯作者: Kumar, Neha

The Future of Care Work: Towards a Radical Politics of Care in CSCW Research and Practice

护理工作的未来：CSCW 研究和实践中的激进护理政治

• DOI: 10.1145/3462204.3481734
• 发表时间: 2021
• 期刊: CSCW '21: Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing
• 作者: Karusala, Naveena;Ismail, Azra;Bhat, Karthik S;Gautam, Aakash;Pendse, Sachin R;Kumar, Neha;Anderson, Richard;Balaam, Madeline;Bardzell, Shaowen;Bidwell, Nicola J
• 通讯作者: Bidwell, Nicola J

Imagining Caring Futures for Frontline Health Work

• DOI: 10.1145/3555581
• 发表时间: 2022-11
• 期刊: Proceedings of the ACM on Human-Computer Interaction
• 作者: Azra Ismail;Deepika Yadav;Meghna Gupta;Kirti Dabas;Pushpendra Singh;Neha Kumar