Yale-METRO Metropolitan Emergency Trial netwoRK to advance patient Outcomes

耶鲁大学-METRO 大都会紧急试验网络可改善患者的治疗效果

基本信息

  • 批准号:
    10552382
  • 负责人:
  • 金额:
    $ 50.09万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-02-01 至 2028-01-31
  • 项目状态:
    未结题

项目摘要

The Yale-Metropolitan Emergency Trial network to advance patient Outcomes (Yale-METRO) is anchored by Yale New Haven Health System (YNHHS) as the Hub and 5 leading partner integrated health systems (1) Hartford Healthcare, (2) Rhode Island/Brown University Health System, (3) Mount Sinai Health System, (4) New York Presbyterian/Weill Cornell Medicine, and (5) Montefiore Health System. Yale-New Haven Hospital is the 7th largest hospital in the U.S. and in collaboration with YNHHS and the Spokes with their respective networks these geographically proximate institutions, cover a densely populated catchment area including more than 8 million people throughout Connecticut, Rhode Island, Southeast NY, Southern MA, and 4 boroughs of New York City, with 1,739,027 Emergency Department visits offering access to a large and diverse population of acutely ill adult and pediatric patients. Principal Investigators Dr. Gail D'Onofrio (Emergency Medicine) and Dr. Kevin Sheth (Neurology) bring a complementary set of leadership skills, high-level clinical trial experience, and an excellent organizational framework. Each have demonstrated expertise in leading and conducting multicenter trials, and a proven track record of high-quality ED and pre-hospital recruitment, and retention in studies, even during the COVID-19 Pandemic. They have collaborated and are actively engaged in multicenter trials with the Spoke institutions and investigators. These interactions include leveraging successful contributions currently in place for NIH networks such as NeuroNEXT and Stroke Net. They have access to a cadre of impressive multispecialty faculty, creating a highly collaborative environment focused on the emergency care related to presentations and diagnoses of interest including, neurological, cardiovascular, respiratory, hematology and trauma. Finally, they have created mechanisms to facilitate enrollment 24 hours, 7 days a week that are already in place. The proposal is strengthened by a: (1) Pool of talented investigators with nationally recognized researchers and MPIs with experience implementing multicenter trials (2) Large diverse patient population (3) Informaticist and analytic team bringing innovative technological strategies and processes for rapid uptake of Spokes, recruitment, data collection, monitoring and quality; (4) Robust track record of mentoring junior investigators and (5) Expertise in developing future proposals for SIREN research. Yale-METRO offers all the components for conducting high-quality research and unique opportunities to use innovative technology advances for disease detection, patient enrollment, data collection and high-quality assurances procedures. Thus, Yale-METRO offers unique opportunities to strengthen the SIREN Network, designing, testing, and discovering interventions and therapies improving patient outcomes.
耶鲁-大都会急诊试验网络旨在促进患者结局(Yale-METRO),由耶鲁纽黑文卫生系统(YNHHS)作为中心和5个领先的合作伙伴综合卫生系统(1)哈特福德医疗保健系统,(2)罗得岛/布朗大学卫生系统,(3)西奈山卫生系统,(4)纽约长老会/威尔康奈尔医学,和(5)蒙蒂菲奥里卫生系统。耶鲁-纽黑文医院是美国第七大医院,与YNHHS和Spokes合作,利用各自的网络,这些地理位置接近的机构,覆盖人口密集的集水区,包括康涅狄格州,罗得岛,纽约东南部,马萨诸塞州南部和纽约市的4个行政区的800多万人,其中1,739人,027急诊科访问提供了一个大的和不同的急性疾病的成人和儿科患者的人口访问。 主要研究者Gail D 'Onofrio博士(急诊医学)和Kevin Sheth博士(神经病学)带来了一套互补的领导技能、高水平的临床试验经验和出色的组织框架。每个人都展示了领导和开展多中心试验的专业知识,以及高质量艾德和院前招募的良好记录,以及即使在COVID-19大流行期间的研究保留。他们与Spoke机构和研究人员合作并积极参与多中心试验。这些互动包括利用目前为NIH网络(如NeuroNEXT和Stroke Net)做出的成功贡献。他们有机会获得令人印象深刻的多专业教师的干部,创造一个高度协作的环境,专注于与感兴趣的演示和诊断相关的紧急护理,包括神经,心血管,呼吸,血液学和创伤。最后,他们已经建立了机制,以促进登记24小时,每周7天,已经到位。 该提案得到了以下方面的加强:(1)由国家认可的研究人员和具有实施多中心试验经验的MPI组成的人才库(2)大量多样化的患者人群(3)信息学家和分析团队,为快速采用Spoke,招募,数据收集,监测和质量带来创新的技术策略和流程;(4)指导初级研究人员的良好记录和(5)在为SIREN研究制定未来提案方面的专业知识。 Yale-METRO提供进行高质量研究的所有组件和独特的机会,使用创新技术进步进行疾病检测,患者登记,数据收集和高质量保证程序。因此,Yale-METRO提供了独特的机会来加强SIREN网络,设计,测试和发现改善患者预后的干预措施和疗法。

项目成果

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Gail D'Onofrio其他文献

Gail D'Onofrio的其他文献

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{{ truncateString('Gail D'Onofrio', 18)}}的其他基金

Clinical Trials Network: Admin Supplement: Integrating MOUD with BUP in Non-medical Community Settings
临床试验网络:管理补充:在非医疗社区环境中将 MOUD 与 BUP 集成
  • 批准号:
    10801347
  • 财政年份:
    2023
  • 资助金额:
    $ 50.09万
  • 项目类别:
Standard versus High Dose ED-Initiated Buprenorphine Induction
标准剂量与高剂量 ED 引发的丁丙诺啡诱导
  • 批准号:
    10801950
  • 财政年份:
    2023
  • 资助金额:
    $ 50.09万
  • 项目类别:
Clinical Trials Network New England Consortium Node: Admin Supplement CTN0131
临床试验网络新英格兰联盟节点:管理补充 CTN0131
  • 批准号:
    10655837
  • 财政年份:
    2022
  • 资助金额:
    $ 50.09万
  • 项目类别:
National Institute on Drug Abuse Clinical Trial Network: New England Consortium Node
国家药物滥用研究所临床试验网络:新英格兰联盟节点
  • 批准号:
    10684501
  • 财政年份:
    2022
  • 资助金额:
    $ 50.09万
  • 项目类别:
Clinical Trials Network New England Consortium Node: Admin Supplement CTN0126
临床试验网络新英格兰联盟节点:管理补充 CTN0126
  • 批准号:
    10655828
  • 财政年份:
    2022
  • 资助金额:
    $ 50.09万
  • 项目类别:
The National Drug Abuse Clinical Trials Network: New England Consortium Node
国家药物滥用临床试验网络:新英格兰联盟节点
  • 批准号:
    10450554
  • 财政年份:
    2021
  • 资助金额:
    $ 50.09万
  • 项目类别:
The National Drug Abuse Clinical Trials Network: New England Consortium Node
国家药物滥用临床试验网络:新英格兰联盟节点
  • 批准号:
    10442107
  • 财政年份:
    2021
  • 资助金额:
    $ 50.09万
  • 项目类别:
The National Drug Abuse Clinical Trials Network: New England Consortium Node
国家药物滥用临床试验网络:新英格兰联盟节点
  • 批准号:
    10451986
  • 财政年份:
    2021
  • 资助金额:
    $ 50.09万
  • 项目类别:
EMBED: Pragmatic trial of user-centered clinical decision support to implement EMergency department-initiated BuprenorphinE for opioid use Disorder
EMBED:以用户为中心的临床决策支持的实用试验,以实施急诊部门发起的丁丙诺啡E治疗阿片类药物使用障碍
  • 批准号:
    9928151
  • 财政年份:
    2018
  • 资助金额:
    $ 50.09万
  • 项目类别:
EMBED: Pragmatic trial of user-centered clinical decision support to implement EMergency department-initiated BuprenorphinE for opioid use Disorder
EMBED:以用户为中心的临床决策支持的实用试验,以实施急诊部门发起的丁丙诺啡E治疗阿片类药物使用障碍
  • 批准号:
    10379284
  • 财政年份:
    2018
  • 资助金额:
    $ 50.09万
  • 项目类别:

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