Office of Disease Prevention, NIH, Rockville, Maryland.
Office of Disease Prevention, NIH, Rockville, Maryland.
Am J Prev Med. 2018 Dec;55(6):915-925. doi: 10.1016/j.amepre.2018.08.006. Epub 2018 Oct 25.
This paper provides the first detailed analysis of the NIH prevention research portfolio for primary and secondary prevention research in humans and related methods research.
The Office of Disease Prevention developed a taxonomy of 128 topics and applied it to 11,082 projects representing 91.7% of all new projects and 84.1% of all dollars used for new projects awarded using grant and cooperative agreement activity codes that supported research in fiscal years 2012-2017. Projects were coded in 2016-2018 and analyzed in 2018.
Only 16.7% of projects and 22.6% of dollars were used for primary and secondary prevention research in humans or related methods research. Most of the leading risk factors for death and disability in the U.S. were selected as an outcome in <5% of the projects. Many more projects included an observational study, or an analysis of existing data, than a randomized intervention. These patterns were consistent over time.
The appropriate level of support for primary and secondary prevention research in humans from NIH will differ by field and stage of research. The estimates reported here may be overestimates, as credit was given for a project even if only a portion of that project addressed prevention research. Given that 74% of the variability in county-level life expectancy across the U.S. is explained by established risk factors, it seems appropriate to devote additional resources to developing and testing interventions to address those risk factors.
本文首次详细分析了 NIH 在人类一级和二级预防研究及其相关方法研究方面的预防研究组合。
疾病预防办公室开发了一个包含 128 个主题的分类法,并将其应用于代表 2012-2017 财年使用支持新研究项目的赠款和合作协议活动代码的 11082 个新项目的 91.7%的新资金和 84.1%的全部资金。项目于 2016-2018 年进行编码,并于 2018 年进行分析。
只有 16.7%的项目和 22.6%的资金用于人类一级和二级预防研究或相关方法研究。在美国,导致死亡和残疾的主要风险因素中,只有不到 5%的项目将其作为研究结果。与随机干预相比,更多的项目包括观察性研究或对现有数据的分析。这些模式随着时间的推移保持一致。
NIH 对人类一级和二级预防研究的适当支持水平将因领域和研究阶段而异。这里报告的估计数可能过高,因为即使项目的一部分涉及预防研究,也会为该项目提供资金。鉴于美国县级预期寿命的 74%的可变性可以用已确定的风险因素来解释,因此似乎应该投入更多资源来开发和测试针对这些风险因素的干预措施。