课题基金 / 基金详情

Predicting and Preventing Hospital Readmission in Patients with Diabetes and CVD

Predicting and Preventing Hospital Readmission in Patients with Diabetes and CVD
预测和预防糖尿病和心血管疾病患者再入院
批准号:
9206498
负责人:
Daniel J Rubin
金额:
$19.3万
依托单位国家:
美国
项目类别:
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-04-01 至 2019-02-28

项目摘要

项目成果

Daniel J Rubin的其他基金

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中文摘要
翻译
 描述(由申请人提供):这项K23提案的总体目标是培训丹尼尔·J·鲁宾,医学博士,硕士,作为一名独立调查员,在预测和预防糖尿病患者再次住院方面的职业生涯。出院后30天内重新入院(30天重新入院)是一项高度优先的质量措施,也是降低成本的目标。糖尿病和心血管疾病(CVD)患者在30天的再入院时间中比例过高,特别是在少数民族和城市人口中。目前还没有有效的方法来识别因心血管疾病入院的糖尿病患者30天再入院的最高风险,这是将有限的资源集中到最有需要的人减少再入院风险的关键先决条件。此外,还没有得到证实的干预措施来降低糖尿病患者30天再入院的风险。鲁宾博士计划通过两个目标来解决这些知识空白:1)验证和完善糖尿病早期再入院风险指数(DERRI-CVD),以预测因心血管疾病入院的糖尿病患者30天再入院风险;2)评估旨在减少30天再入院风险的新型多因素干预措施的可行性和可接受性。该干预措施使在其他住院人群中成功使用的方法适用于因心血管疾病住院的糖尿病患者。 根据皮下心血管疾病确定为再入院高危人群。拟议的研究分两个阶段来解决这些目标:第一阶段使用新的糖尿病患者回顾队列来验证和完善用于预测30d再入院风险的DERI-CVD;第二阶段涉及单臂试点试验以定性评估其可行性 以及干预的可接受性。为了成功地完成拟议的研究并提高实现独立的总体目标的技能,鲁宾博士将通过正式的课程和结构化的指导接受以下方面的额外培训:验证和完善预测模型、临床试验和医院质量改进原则,重点是重新入院预测和预防。一组杰出的资深调查人员将担任导师和顾问,监督鲁宾博士的研究和职业发展。拟议的研究和培训将帮助鲁宾博士获得技能,在这一领域建立一系列工作,并产生初步数据,以支持竞争性的R01应用,以在随机对照试验中测试降低再入院风险干预。在当前医疗成本飙升和国家医疗改革的时代,这样的工作具有很强的相关性。这项建议将使鲁宾博士能够发展成为一名成功的独立研究员,同时通过临床研究改善患者护理并减少再入院差异。
英文摘要
 DESCRIPTION (provided by applicant): The overall goal of this K23 proposal is to train Daniel J. Rubin, MD, MSc for a career as an independent investigator in the prediction and prevention of hospital readmission among patients with diabetes. Readmissions within 30 days of discharge (30d readmissions) are a high-priority quality measure and target for cost reduction. Patients with diabetes and cardiovascular disease (CVD) are disproportionately over- represented in 30d readmissions, especially among racial minorities and urban populations. Currently there is no validated method to identify diabetic patients admitted for CVD at the highest risk of 30d readmission, which is a critical prerequisite for targeting limited resources fr reducing readmission risk to those most in need. Furthermore, there are no proven interventions to reduce the risk of 30d readmission specifically among patients with diabetes. Dr. Rubin plans to address these gaps in knowledge with 2 aims, 1) validating and refining a Diabetes Early Readmission Risk Index (DERRI-CVD) for predicting 30d readmission risk in diabetic patients admitted for CVD, and 2) assessing the feasibility and acceptability of a novel, multifactorial intervention designed to reduce 30d readmissions. The intervention adapts methods successfully used in other inpatient populations to diabetic patients hospitalized for CVD and will target those identified as high risk for readmission based on the DERRI-CVD. There are 2 Phases to the proposed research that address these aims: Phase 1 uses a new retrospective cohort of diabetic patients to validate and refine the DERRI-CVD for prediction of 30d readmission risk; Phase 2 involves a single-arm pilot trial to qualitatively assess the feasibility and acceptability of the intervention. In order to successfully complete the proposed research and build on skills to achieve the overall goal of independence, Dr. Rubin will receive additional training through formal coursework and structured mentorship in the following: validating and refining predictive models, clinical trials, and principles of hospital quality improvement with a focus on readmission prediction and prevention. A distinguished group of senior investigators will serve as mentors and advisors to supervise Dr. Rubin's research and career development. The proposed research and training will help Dr. Rubin acquire skills, establish a body of work in this area and generate preliminary data to support a competitive R01 application to test the readmission risk reduction intervention in a randomized controlled trial. Such work is highly relevant in the current era of soaring health care costs and national health care reform. This proposal will enable Dr. Rubin to develop into a successful independent investigator while improving patient care and reducing readmission disparities through clinical research.
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Developing and validating EHR-integrated readmission risk prediction models for hospitalized patients with diabetes
  • 批准号:
    10414988
  • 项目类别:
  • 资助金额:
    $56.55万
  • 财政年份:
    2020
  • 负责人:
    Daniel J Rubin
  • 依托单位:
Developing and validating EHR-integrated readmission risk prediction models for hospitalized patients with diabetes
  • 批准号:
    10245208
  • 项目类别:
  • 资助金额:
    $56.29万
  • 财政年份:
    2020
  • 负责人:
    Daniel J Rubin
  • 依托单位:
Developing and validating EHR-integrated readmission risk prediction models for hospitalized patients with diabetes
  • 批准号:
    10629295
  • 项目类别:
  • 资助金额:
    $54.84万
  • 财政年份:
    2020
  • 负责人:
    Daniel J Rubin
  • 依托单位:
Predicting and Preventing Hospital Readmission in Patients with Diabetes and CVD
  • 批准号:
    8891852
  • 项目类别:
  • 资助金额:
    $17.16万
  • 财政年份:
    2015
  • 负责人:
    Daniel J Rubin
  • 依托单位: