Advanced Training in Nursing Outcomes Research

项目摘要 护理成果研究高级培训 这是宾夕法尼亚州护理的T32 NR 007104博士前和博士后培训计划的竞争延续， 护理成果研究现已进入第19个年头。92%的T32博士校友和94%的 博士后校友是研究密集型机构的教师; 77%的博士和79%的博士后 受训人员成功地竞争了研究资助后培训。学员是从一个强大的 目前在24个州的44个不同机构就业。寿命期间 T32，34%的受训者是少数民族。要求提供资金，以继续5个博士前职位， 以及将博士后培训生从4人减少到3人，以便能够投资于更多的博士后培训生 高级定量方法课程。T32嵌入在屡获殊荣的健康中心 宾夕法尼亚大学护理学院的成果和政策研究（CHOPR）为学员提供模范资源 和学习机会。这些措施包括：1）导师由著名的CHOPR护士研究人员谁拥有7 目前资助的R 01在护理成果研究加上其他资助的大规模研究; 2）CHOPR分析 指定支持T32大数据计算机应用培训的工作人员; 3）T32护士调查员 来自宾夕法尼亚大学护理的导师，他们的研究是在严重疾病的新重点课题; 4）一个大的 跨学科的T32教师与相关资助的研究和先进的定量方法的专业知识; 和5）访问来自CHOPR的NIH/AHRQ研究，伦纳德的独特和强大的大数据库存 戴维斯卫生经济研究所的卫生服务研究数据存储库和临床数据仓库 宾夕法尼亚大学健康系统的一个重要组成部分。培训的重点仍然是以下领域： 研究，其中T32教师和学员作出了重大贡献的进步， 关于护理对患者结果的影响的知识，以T32教师的研究为例 发表在《柳叶刀》上，并在目前的NINR战略计划中强调。T32正在增强管道 通过招募BSN博士申请人并加快博士培训， 多年来，我们一直成功地实现这一目标。在本申请中，我们指定了 调查扩展了我们的中心论点，即潜在的可修改的组织环境的测试， 跨护理环境和患者群体的护理实践与护理结果显著相关。 新的方向包括护理对重症和高需求患者临床结果的影响， 寿命和跨设置。这一重点反映了国家医学科学院的优先事项， 报告为需要不成比例护理的高需求患者提供有效护理。我们注意到 呼吁国家卫生研究院数据科学战略计划通过强调数据科学来加强研究培训， 大数据正在逼近。

Project Summary Advanced Training in Nursing Outcomes Research This a competing continuation of Penn Nursing's T32NR007104 pre- and post-doctoral training program in nursing outcomes research now in its 19th year. Ninety-two percent of T32 PhD alumni and 94% of postdoctoral alumni are faculty at research-intensive institutions; 77% of PhDs and 79% of postdoctoral trainees have competed successfully for research funding post training. Trainees were recruited from a robust national pool of applicants and are now employed in 44 different institutions in 24 states. Over the life of the T32, 34% of trainees have been minorities. Funding is requested for continuation of 5 pre-doctoral positions, and a reduction of post-doctoral trainees from 4 to 3 to enable investments in more postdoctoral trainee coursework in advanced quantitative methods. The T32 is embedded in the award-winning Center for Health Outcomes and Policy Research (CHOPR) at Penn Nursing that provides trainees with exemplary resources and learning opportunities. These include: 1) mentorship by prominent CHOPR nurse researchers who have 7 currently funded R01s in nursing outcomes research plus other funded large-scale studies; 2) CHOPR analytic staff designated to support T32 training in computer applications for Big Data; 3) T32 nurse investigator preceptors from Penn Nursing whose research is in the new emphasis topics of serious illness; 4) a large interdisciplinary T32 faculty with relevant funded research and expertise in advanced quantitative methods; and 5) access to a unique and robust Big Data inventory from CHOPR's NIH/AHRQ research, the Leonard Davis Institute of Health Economics' health services research data repository, and the clinical data warehouse of the large University of Pennsylvania Health System. The training emphasis continues to focus on areas of research in which T32 faculty and trainees have made significant contributions to the advancement of knowledge about the impact of nursing on patient outcomes exemplified by the T32 faculty's research published in The Lancet and highlighted in the current NINR Strategic Plan. The T32 is enhancing the pipeline of nurses into PhD study by recruiting BSN to PhD applicants and expediting PhD training to completion in 3 years, an objective that we have been successfully achieving. In this application, we specify new areas of inquiry that extend the testing of our central thesis that the potentially modifiable organizational context of nursing practice across settings of care and patient populations is significantly associated with care outcomes. New directions include nursing's impact on clinical outcomes among seriously ill and high-need patients across the lifespan and across settings. This focus reflects the priority set by the National Academy of Medicine's report Effective Care for High-Need Patients that require a disproportionate share of nursing care. We heed the call in the NIH Strategic Plan for Data Science to enhance research training by emphasizing data science and Big Data approaches.