SCC-Planning: Using Innovations in Big Data and Technology to Address the High Rate of Infant Mortality in Greater Columbus Ohio

SCC-Planning：利用大数据和技术创新解决俄亥俄州大哥伦布市婴儿死亡率高的问题

• 批准号: 1737560
• 负责人: Raghu Machiraju
• 金额: $ 10万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2020-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1737560&HistoricalAwards=false
• 关键词: SCC; Planning; Using; Innovations; Big

Franklin County, Ohio, home of the state's capital at Columbus, has one of the highest infant mortality rates in the country at 8.3 deaths per 1,000 live births. As outlined in a recent article in the Journal of the American Medical Association (2016), the U.S. lags behind in many important measures of population health, including infant mortality, despite the fact that one-fifth of our dollars are spent on healthcare. While the data needed to address these important public health problems are available, to date we have not seen adequate investment in informatics approaches to combine and analyze these multilevel (e.g., individual lifestyle factors, neighborhood characteristics) data. The current planning project represents an effort to plan (with an intent to implement) just such an approach to address the high rate of infant mortality in Greater Columbus and nationwide. As the recent winner of the Department of Transportation's Smart Cities Challenge, Columbus already has a well-developed plan to employ technology to improve local transportation options, which is anticipated to ameliorate some contributing factors such as lack of access prenatal and other health care. The financial support from this and follow-up grants will permit us to expand that effort and leverage technological advances to further identify and design interventions to address risk factors for poor maternal and infant health outcomes. Further, by including students and other trainees in our work, we will be training the next generation of scientists to develop innovative solutions to address complex societal problems. The objectives of this one-year planning project are to: 1) identify data gaps that present local barriers to achieving optimal maternal and infant health and their effect on proximate causes of infant mortality in the community; 2) align with key stakeholders and partners in the community with a goal to identify opportunities where technology, especially connectivity and mobility, could be leveraged to address barriers and speed-up progress; and 3) utilize our technological and content expertise to design and implement novel interventions for improving maternal and infant health. Since 2014 there have been a number of local efforts to address Franklin County's high rate of infant mortality to no avail. As such, there is a dire need for a coordinated novel multidisciplinary approach. The primary focus and intellectual contribution of this planning grant is to work closely with stakeholders to plan strategies to identify the key contributors of infant mortality in Franklin County (i.e., likely specific social determinants of health) and to develop novel interventions driven by innovations in BIGDATA technology.

俄亥俄州富兰克林县是该州首府哥伦布市的所在地，该县是全国婴儿死亡率最高的县之一，每 1,000 名活产婴儿中有 8.3 人死亡。 正如《美国医学会杂志》（2016 年）最近发表的一篇文章所述，尽管美国有五分之一的资金用于医疗保健，但美国在许多重要的人口健康指标（包括婴儿死亡率）方面仍然落后。 虽然解决这些重要公共卫生问题所需的数据是可用的，但迄今为止，我们还没有看到对信息学方法的足够投资来组合和分析这些多层次（例如，个人生活方式因素、社区特征）数据。当前的规划项目代表着努力规划（并打算实施）这样一种方法，以解决大哥伦布市和全国范围内的高婴儿死亡率问题。 作为最近交通部智慧城市挑战赛的获胜者，哥伦布已经制定了一项完善的计划，利用技术来改善当地的交通选择，预计这将改善一些影响因素，例如缺乏产前和其他医疗保健服务。 这笔资金和后续赠款的财政支持将使我们能够扩大这一努力，并利用技术进步来进一步确定和设计干预措施，以解决孕产妇和婴儿健康状况不佳的风险因素。此外，通过让学生和其他学员参与我们的工作，我们将培训下一代科学家，开发创新的解决方案来解决复杂的社会问题。 这一为期一年的规划项目的目标是： 1) 查明当地实现最佳孕产妇和婴儿健康障碍的数据差距及其对社区婴儿死亡直接原因的影响； 2) 与社区中的主要利益相关者和合作伙伴保持一致，目标是发现可以利用技术（尤其是连通性和移动性）来解决障碍并加快进展的机会； 3) 利用我们的技术和内容专业知识来设计和实施新颖的干预措施，以改善孕产妇和婴儿健康。自 2014 年以来，当地为解决富兰克林县高婴儿死亡率问题做出了一系列努力，但均无济于事。因此，迫切需要一种协调一致的新颖的多学科方法。该规划拨款的主要重点和智力贡献是与利益相关者密切合作，制定战略，以确定富兰克林县婴儿死亡率的关键因素（即可能的特定健康社会决定因素），并制定由大数据创新驱动的新颖干预措施技术。