Advancing the Methods of Evaluation of Quality and Safety Practice and Education

推进质量安全实践与教育评价方法

基本信息

项目摘要

DESCRIPTION (provided by applicant): Despite the remarkable progress in improving healthcare, avoidable harm and wide variations in the quality of care remain a reality. There is a critical need to build capability and capacity in the work force on the science of quality improvement (QI) and safety, assure that there are rigorous ways to evaluate QI interventions, and quickly disseminate the results of these efforts. Strong partnerships between interprofessional researchers, educators, and frontline providers are critical. Until this need is met, the pace with which improvement science impacts health outcomes and care delivery will continue to be unacceptably slow. We propose that the Academy for Healthcare Improvement (AHI) sponsor a third annual conference, entitled Advancing the Methods of Evaluation of Quality and Safety Practice and Education. To begin to develop an interprofessional workforce with the skills to apply and rigorously evaluate the context-sensitive effectiveness of improvement science-based interventions, AHI will partner with the Quality and Safety Education for Nurses Institute. The conference specific aims are to provide QI-focused clinicians, researchers and educators from a variety of disciplines with information and experience that will enable them to improve quality and safety by: 1) conveying evidence-based methods of building effective capability in improvement science across professional communities toward the goal of creating and facilitating interprofessional communities in local and national healthcare settings, 2) providing skills to apply rigorous evaluation designs to QI interventions in order to delineate not only effectiveness, but also the theory and mechanisms involved, and 3) demystifying the scientific writing process to enhance the publication and dissemination of effective improvement efforts. Achieving these aims will result in 1) an interprofessional healthcare workforce with the capacity and capability to apply QI science in their daily work (whether practice, research or education-focused), and 2) QI-focused clinicians, researchers and educators who routinely apply robust evaluation methods to their work, resulting in successful replication of effective interventions in healthcare and a concomitant acceleration of improved patient outcomes. Conference activities will include keynote lectures, workshops, panel discussions, abstract presentations and writing workshops. Speakers will include recognized experts whose sessions will focus on methods applicable to real-world settings using examples of AHRQ priority populations. Conference proceedings will be disseminated via web links and Twitter feeds.
描述(由申请人提供):尽管在改善医疗保健方面取得了显著进展,但可避免的伤害和医疗质量的巨大差异仍然是现实。迫切需要建立质量改进(QI)和安全科学工作队伍的能力和能力,确保有严格的方法来评估QI干预措施,并迅速传播这些努力的结果。跨专业研究人员、教育工作者和一线提供者之间牢固的伙伴关系至关重要。在这一需求得到满足之前,科学进步影响健康结果和提供护理的速度将继续缓慢到令人无法接受的地步。我们建议卫生保健改进学会(AHI)主办第三次年度会议,题为推进质量和安全实践和教育的评估方法。为了开始培养一支具有应用技能的跨专业劳动力队伍,并严格评估基于改进的科学干预措施的上下文敏感有效性,AHI将与护士质量和安全教育研究所合作。会议的具体目的是为来自不同学科的以QI为重点的临床医生、研究人员和教育工作者提供信息和经验,使他们能够通过以下方式提高质量和安全:1)传达基于证据的方法,在专业社区中建立有效的改进科学能力,以实现在地方和国家医疗保健环境中创建和促进跨专业社区的目标;2)提供技能,将严格的评估设计应用于QI干预措施,以便不仅描述有效性,而且描述所涉及的理论和机制;以及3)揭开科学写作过程的神秘面纱,以加强有效改进工作的出版和传播。实现这些目标将产生1)具有在日常工作中应用QI科学的能力和能力的跨专业医疗队伍(无论是以实践、研究或教育为重点的),以及2)以QI为重点的临床医生、研究人员和教育工作者,他们经常将可靠的评估方法应用于他们的工作,从而在医疗保健领域成功复制有效的干预措施,从而加速改善患者的结果。会议活动将包括主旨讲座、研讨会、小组讨论、摘要报告和写作研讨会。发言者将包括公认的专家,他们的会议将重点讨论适用于现实世界的方法,使用AHRQ优先人口的例子。会议记录将通过网络链接和推特订阅进行传播。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

EVALINE A ALESSANDRINI其他文献

EVALINE A ALESSANDRINI的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('EVALINE A ALESSANDRINI', 18)}}的其他基金

Methods and Measures of Improving Healthcare Value
提升医疗价值的方法和措施
  • 批准号:
    9328025
  • 财政年份:
    2015
  • 资助金额:
    $ 3.5万
  • 项目类别:
Doing Research at the Front Line of Improving Healthcare
在改善医疗保健的第一线进行研究
  • 批准号:
    8573705
  • 财政年份:
    2013
  • 资助金额:
    $ 3.5万
  • 项目类别:
PREDICTING VACCINE STATUS & ED USE IN MEDICAID NEWBORNS
预测疫苗状况
  • 批准号:
    6636726
  • 财政年份:
    2000
  • 资助金额:
    $ 3.5万
  • 项目类别:
PREDICTING VACCINE STATUS & ED USE IN MEDICAID NEWBORNS
预测疫苗状况
  • 批准号:
    6772649
  • 财政年份:
    2000
  • 资助金额:
    $ 3.5万
  • 项目类别:
PREDICTING VACCINE STATUS & ED USE IN MEDICAID NEWBORNS
预测疫苗状况
  • 批准号:
    6520626
  • 财政年份:
    2000
  • 资助金额:
    $ 3.5万
  • 项目类别:
PREDICTING VACCINE STATUS & ED USE IN MEDICAID NEWBORNS
预测疫苗状况
  • 批准号:
    6387365
  • 财政年份:
    2000
  • 资助金额:
    $ 3.5万
  • 项目类别:
PREDICTING VACCINE STATUS & ED USE IN MEDICAID NEWBORNS
预测疫苗状况
  • 批准号:
    6130067
  • 财政年份:
    2000
  • 资助金额:
    $ 3.5万
  • 项目类别:

相似国自然基金

Computational Methods for Analyzing Toponome Data
  • 批准号:
    60601030
  • 批准年份:
    2006
  • 资助金额:
    17.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

NIRG: Evaluation of interventions with rare events: methods for parallel cluster randomised trials and stepped-wedge cluster randomised trials
NIRG:罕见事件干预措施的评估:平行整群随机试验和阶梯楔形整群随机试验的方法
  • 批准号:
    MR/X029492/1
  • 财政年份:
    2024
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Research Grant
Evaluation of body measurement methods for children living with obesity
肥胖儿童体型测量方法评价
  • 批准号:
    MR/X03349X/1
  • 财政年份:
    2024
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Fellowship
Development of Recovery Evaluation Methods in Disaster-affected Areas in Indonesia and Clarification of Spatio-temporal Changes in Disaster Risk Perception
印度尼西亚受灾地区恢复评估方法的发展和灾害风险认知时空变化的澄清
  • 批准号:
    23KK0084
  • 财政年份:
    2023
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Fund for the Promotion of Joint International Research (International Collaborative Research)
Development of Curriculum, Teaching, and Evaluation Methods for Data Science Education in High Schools
高中数据科学教育课程、教学和评价方法的开发
  • 批准号:
    23K02665
  • 财政年份:
    2023
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
A Randomized Pilot and Feasibility Study of a cultuRE-Directed approach to Urinary traCT Infection symptoms in older womeN: a mixed methods evaluation - the REDUCTION trial
针对老年女性尿路感染症状的文化导向方法的随机试验和可行性研究:混合方法评估 - REDUCTION 试验
  • 批准号:
    10586250
  • 财政年份:
    2023
  • 资助金额:
    $ 3.5万
  • 项目类别:
Creation of a platform for the evaluation of signal toxicity, starting with the development of methods for the detection and diagnosis of brain function disruption.
创建一个评估信号毒性的平台,首先开发检测和诊断脑功能中断的方法。
  • 批准号:
    23H00512
  • 财政年份:
    2023
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Grant-in-Aid for Scientific Research (A)
Understanding New Brunswick citizens' experiences and perceptions of MyHealthNB and accessing their personal health information online: A mixed methods evaluation
了解新不伦瑞克省公民对 MyHealthNB 的体验和看法并在线访问他们的个人健康信息:混合方法评估
  • 批准号:
    495305
  • 财政年份:
    2023
  • 资助金额:
    $ 3.5万
  • 项目类别:
Components of emergency department pediatric readiness associated with short- and long-term survival among children: a mixed methods evaluation
与儿童短期和长期生存相关的急诊儿科准备的组成部分:混合方法评估
  • 批准号:
    10731344
  • 财政年份:
    2023
  • 资助金额:
    $ 3.5万
  • 项目类别:
A Mixed Methods Evaluation of Developing COPD Exacerbations in the MARC Cohort
MARC 队列中 COPD 加重的混合方法评估
  • 批准号:
    10605385
  • 财政年份:
    2023
  • 资助金额:
    $ 3.5万
  • 项目类别:
Use of deep learning and development of statistical prediction result evaluation methods for the acceleration of personalized medicine
利用深度学习和开发统计预测结果评估方法加速个性化医疗
  • 批准号:
    23K11014
  • 财政年份:
    2023
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了