National Center for Medical Rehabilitation Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
National Center for Medical Rehabilitation Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
Arch Phys Med Rehabil. 2020 Aug;101(8):1313-1321. doi: 10.1016/j.apmr.2020.04.005. Epub 2020 May 15.
To summarize the progress toward the National Institutes of Health (NIH) Research Plan on Rehabilitation goals and the methods by which tracking occurred.
Each grant award was manually coded by NIH staff for research plan goals, type of science categories (eg, basic, applied, infrastructure, etc), and if applicable, training, and then validated by NIH institute and center (IC) experts. Data for years 2015 through 2017 were used to develop a coding algorithm to automatically code grants in 2018 for validation by NIH IC experts. Additional data for all years (2015-2018) were also analyzed to track changes and progress.
The research utilized administrative data from NIH Reporter and internal NIH databases.
The data sample included research grants and programs funded from fiscal years 2015 through 2018. The year 2015 was considered a baseline year as the research plan was published in 2016.
Not applicable.
The primary outcome measures were substantial growth in NIH funding and numbers of awards for rehabilitation research, across most research plan goals and types of science, as well as validation of an automatic algorithm for coding grants.
Number of grants, funding dollars, funding mechanisms, patent data, scientific influence and translational science, research plan goals, and type of science categories were tracked across years (2015-2018). Algorithm validation is presented for 2018 data.
NIH advanced the goals stated in the Research Plan on Rehabilitation, but gap areas remain. Though funding in this portfolio is growing, continued focus and participation by the field is needed to advance rehabilitation science.
总结美国国立卫生研究院（NIH）康复研究计划的进展情况以及跟踪进展的方法。
NIH 工作人员对每项资助拨款进行人工编码，以确定研究计划目标、科学类别（如基础、应用、基础设施等），并在适用的情况下，确定培训情况，然后由 NIH 研究所和中心（IC）专家进行验证。使用 2015 年至 2017 年的数据开发编码算法，以自动对 2018 年的拨款进行编码，并由 NIH IC 专家进行验证。还分析了所有年份（2015-2018 年）的数据，以跟踪变化和进展情况。
该研究利用了 NIH Reporter 的行政数据和内部 NIH 数据库。
数据样本包括 2015 年至 2018 年资助的研究拨款和项目。2015 年被视为基线年，因为研究计划于 2016 年发布。
不适用。
主要观察指标是 NIH 康复研究资助和拨款数量的大幅增长，涉及大多数研究计划目标和科学类别，以及自动编码拨款算法的验证。
在几年（2015-2018 年）中跟踪了拨款数量、资助金额、资助机制、专利数据、科学影响力和转化科学、研究计划目标以及科学类别。为 2018 年的数据提供了算法验证。
NIH 推进了康复研究计划中规定的目标，但仍存在差距领域。尽管该投资组合中的资金不断增加，但仍需要该领域的持续关注和参与，以推进康复科学的发展。
