NSF-SSRC: An Intention-Action Framework for Improving the Impact of Public Health Initiatives

NSF-SSRC：提高公共卫生举措影响力的意向行动框架

• 批准号: 2317430
• 负责人: Silvia Saccardo
• 金额: $ 59.75万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2317430&HistoricalAwards=false
• 关键词: NSF; SSRC; Intention; Action; Framework

Addressing pressing public health challenges, such as controlling outbreaks of infectious diseases and managing chronic conditions, is critical for societal well-being. However, uptake of crucial healthcare resources, such as vaccines and preventive health screenings, is often suboptimal. As such, finding ways to develop evidence-based interventions to promote positive health behaviors is of the utmost importance. For scientific research to truly guide public health efforts, it is essential to a) understand why interventions capitalizing on knowledge of human behavior work in some settings but fail to reproduce similar effects in others; and b) examine when deploying a given intervention will be most successful at changing actual behavior in the field. This interdisciplinary proposal combines insights from psychology and behavioral economics, to understand when and among whom behavioral interventions can effectively change individuals’ health behaviors in natural settings as well as how to optimally combine different types of interventions. The proposed research will leverage large-scale randomized controlled trials (RCTs), lab experiments, archival data, and machine learning to examine a wide range of consequential health behaviors (COVID-19 and flu vaccinations, cancer screening uptake, chronic condition management). The resulting knowledge helps develop nuanced theories of health decision making and advance the scientific frontier of building demand for vaccines and preventive screenings. Additionally, it provides valuable insights into the sources of heterogeneity that may explain why promising scientific findings fail to replicate in certain settings. Ultimately, this research has the potential to enhance the impact and reach of public health initiatives by offering actionable insights for customizing interventions to specific sub-populations and temporal contexts.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.

应对紧迫的公共卫生挑战，如控制传染病爆发和管理慢性病，对社会福祉至关重要。然而，疫苗和预防性健康检查等关键医疗资源的利用往往不理想。因此，找到制定循证干预措施以促进积极健康行为的方法至关重要。为了使科学研究真正指导公共卫生工作，必须：a）理解为什么利用人类行为知识的干预措施在某些情况下有效，但在其他情况下却无法复制类似的效果;以及B）检查何时部署特定的干预措施将最成功地改变该领域的实际行为。这个跨学科的建议结合了心理学和行为经济学的见解，以了解行为干预何时以及在哪些人中可以有效地改变自然环境中的个人健康行为，以及如何最佳地结合联合收割机不同类型的干预措施。拟议的研究将利用大规模随机对照试验（RCT），实验室实验，档案数据和机器学习来检查广泛的相应健康行为（COVID-19和流感疫苗接种，癌症筛查摄取，慢性病管理）。由此产生的知识有助于发展微妙的健康决策理论，并推动建立疫苗和预防性筛查需求的科学前沿。此外，它还提供了对异质性来源的有价值的见解，这可能解释为什么有前途的科学发现在某些环境中无法复制。最终，这项研究有可能通过提供针对特定亚人群和时间背景的定制干预措施的可操作见解来增强公共卫生举措的影响和范围。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。