The Center for Accelerating Practices to End Suicide through Technology Translation (CAPES)

通过技术转化加速结束自杀实践中心 (CAPES)

基本信息

项目摘要

CAPES OVERALL: PROJECT SUMMARY/ABSTRACT Significance: Recently, we have seen massive growth in availability of empirically supported technologies enabling suicide risk identification, monitoring, and prevention in healthcare settings. However, our knowledge of effective, efficient strategies to translate these technologies into clinical practice is weak. As a result, these technologies are not being optimally deployed to prevent suicides. The Center for Accelerating Practices to End Suicide through Technology Translation ( CAPES ) will bridge this research-to-practice gap. Investigators: CAPES transdisciplinary Faculty, Advisors, and Consultants have extensive expertise in the disciplines required to successfully support the CAPES mission and its individual projects, producing synergistic insights and discovery. Combined, the team has over 1,000 high-impact publications in fields relevant to or directly studying the intersection of suicide prevention, implementation science, digital health technology development and translation to practice, health disparities, study design and analysis, and healthcare systems- based change. This scientific depth will be accompanied by longitudinal engagement of diverse stakeholders. Innovation: CAPES will be the first NIMH center focused on accelerating evidence-based suicide care by leveraging technology solutions across multiple healthcare settings. Further, it will leverage innovations in implementation science, person-centered design, hybrid clinical trial design, technology-related economics evaluations, business development, and ethics to maximize scientific and public health impact. Approach: The CAPES Administrative Core will collaborate with the Methods Core to maximize the Center’s impact by creating synergy; prioritizing evidence-based, scalable technologies for study; creating relevance across multiple settings and diverse patient populations; leveraging the Zero Suicide framework to align with priorities of the National Action Alliance for Suicide Prevention and NIMH; and fostering business development and technology transfer to help ensure successful public dissemination, adoption, and sustainability. Environment: UMass and Worcester Polytechnic Institute have an established history of successfully carrying out collaborative studies and are perfectly situated to support this Center. Their networked capabilities, combined with other academic, health system, business, and community partners, provide layered, complementary resource access for clinical care improvement, technology development, technology transfer from research settings to clinical use, and widespread dissemination of CAPES resources. Impact: Led by accomplished investigators with access to powerful resources, CAPES will be ideally situated to answer the critical research questions posed in this proposal and reach many diverse settings and patient populations. CAPES innovative embrace of evidence-based suicide care technologies, combined with a strong focus on Zero Suicide alignment, implementation science advances, technology transfer, and multi-channel dissemination, position it for transformational impact on suicide prevention in healthcare settings.
总体上:项目摘要/摘要 意义:最近,我们看到了经验支持的技术的可用性大量增长 在医疗机构中实现自杀风险识别,监测和预防。但是,我们的知识 将这些技术转化为临床实践的有效,有效的策略很弱。结果,这些 技术并未最佳地部署以防止自杀。加速实践中心 通过技术翻译结束自杀( 斗篷 )将弥合这一研究对实践差距。 调查人员:Capes跨学科教师,顾问和顾问在 成功支持开普斯任务及其个别项目所需的学科,产生协同作用 见解和发现。该团队结合在一起,在与或 直接研究预防自杀,实施科学,数字卫生技术的交集 发展和翻译为实践,健康分布,研究设计和分析以及医疗保健系统 - 基于更改。该科学深度将通过潜水者利益相关者的纵向参与来实现。 创新:斗篷将是第一个致力于加速循证自杀护理的NIMH中心 利用多个医疗机构的技术解决方案。此外,它将利用创新 实施科学,以人为本的设计,混合临床试验设计,技术相关经济学 评估,业务发展和道德规范,以最大程度地发挥科学和公共卫生的影响。 方法:Capes行政核心将与方法核心合作,以最大化中心的 通过创造协同作用来影响;优先考虑基于证据的可扩展技术;创建相关性 在多种环境和潜水员的患者人群中;利用零自杀框架与 国家预防自杀和NIMH的国家行动联盟的优先事项;并促进业务发展 和技术转移,以帮助确保成功的公众传播,采用和可持续性。 环境:UMass和Worcester理工学院拥有成功的历史 进行协作研究,非常适合支持该中心。他们的网络功能, 结合其他学术,卫生系统,商业和社区合作伙伴,提供分层, 互补的资源访问临床护理改进,技术开发,技术转移 从研究环境到临床用途,再到广泛的斗篷资源传播。 影响:由有能力获得强大资源的成熟调查员领导,披肩将是理想位置的 回答本提案中假设的关键研究问题,并遇到许多潜水员的环境和患者 人群。 Capes创新的循证自杀护理技术的拥抱,结合了强大 专注于零自杀一致,实施科学进步,技术转移和多渠道 传播,将其定位为对医疗环境中自杀预防的变革影响。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据

数据更新时间:2024-06-01

Edwin D Boudreaux的其他基金

Signature Research Project
签名研究项目
  • 批准号:
    10577120
    10577120
  • 财政年份:
    2023
  • 资助金额:
    $ 336.07万
    $ 336.07万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    10577118
    10577118
  • 财政年份:
    2023
  • 资助金额:
    $ 336.07万
    $ 336.07万
  • 项目类别:
CDR Administrative Supplement for COVID-19 Impacted NIMH Research
针对受新冠肺炎 (COVID-19) 影响的 NIMH 研究的 CDR 行政补充
  • 批准号:
    10617502
    10617502
  • 财政年份:
    2022
  • 资助金额:
    $ 336.07万
    $ 336.07万
  • 项目类别:
Telehealth to Improve Prevention of Suicide (TIPS) in EDs
远程医疗可改善急诊科的自杀预防 (TIPS)
  • 批准号:
    10322028
    10322028
  • 财政年份:
    2021
  • 资助金额:
    $ 336.07万
    $ 336.07万
  • 项目类别:
Telehealth to Improve Prevention of Suicide (TIPS) in EDs
远程医疗可改善急诊科的自杀预防 (TIPS)
  • 批准号:
    10532210
    10532210
  • 财政年份:
    2021
  • 资助金额:
    $ 336.07万
    $ 336.07万
  • 项目类别:
Reward-based technology to improve opioid use disorder treatment initiation after an ED visit
基于奖励的技术可改善急诊就诊后阿片类药物使用障碍治疗的启动
  • 批准号:
    10414138
    10414138
  • 财政年份:
    2019
  • 资助金额:
    $ 336.07万
    $ 336.07万
  • 项目类别:
Computerized Adaptive Suicidal Risk Stratification and Prediction
计算机化自适应自杀风险分层和预测
  • 批准号:
    10254382
    10254382
  • 财政年份:
    2019
  • 资助金额:
    $ 336.07万
    $ 336.07万
  • 项目类别:
Reward-based technology to improve opioid use disorder treatment initiation after an ED visit
基于奖励的技术可改善急诊就诊后阿片类药物使用障碍治疗的启动
  • 批准号:
    10337501
    10337501
  • 财政年份:
    2019
  • 资助金额:
    $ 336.07万
    $ 336.07万
  • 项目类别:
Reward-based technology to improve opioid use disorder treatment initiation after an ED visit
基于奖励的技术可改善急诊就诊后阿片类药物使用障碍治疗的启动
  • 批准号:
    10794875
    10794875
  • 财政年份:
    2019
  • 资助金额:
    $ 336.07万
    $ 336.07万
  • 项目类别:
Deriving a Clinical Decision Rule for Suicide Risk in the Emergency Department Setting
得出急诊科自杀风险的临床决策规则
  • 批准号:
    10299606
    10299606
  • 财政年份:
    2019
  • 资助金额:
    $ 336.07万
    $ 336.07万
  • 项目类别:

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