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Tailored Adaptation of the AHRQ VTE QI Guide to Local Hospital Context

Tailored Adaptation of the AHRQ VTE QI Guide to Local Hospital Context
AHRQ VTE QI 指南根据当地医院情况进行定制调整
批准号:
10740991
负责人:
Anthony D. Yang
金额:
$14.88万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-11-16 至 2024-01-31

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项目成果

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Project Summary / Abstract Dr. Yang is an Assistant Professor in the Department of Surgery, Surgical Outcomes and Quality Improvement Center (SOQIC), and the Center for HealthCare Studies (CHS) – Institute for Public Health and Medicine at the Feinberg School of Medicine. CHS and SOQIC conduct cutting-edge research about the safety and quality of healthcare through interdisciplinary collaborations of health services and outcomes researchers in order to inform and shape healthcare policy and to improve healthcare practices and the health of the nation. Dr. Yang's career goal is to become an independently funded investigator combining advanced quantitative and qualitative analytics with expertise in implementation and dissemination science to facilitate effective healthcare quality improvement locally, regionally, and nationally. To fulfill this goal, he will augment his Master's Degree in Healthcare Quality and Patient Safety by gaining expertise in three areas during this award period: (1) implementation and dissemination science, (2) qualitative and mixed methods research, and (3) quantitative evaluation methods. He will apply the new knowledge and skills experientially to the proposed project. Venous thromboembolism (VTE), defined as either a deep venous thrombosis or pulmonary embolism (PE), is a common, preventable cause of postoperative morbidity and mortality. PE is the leading cause of in-hospital preventable death in the United States. The currently quality measures for VTE have important flaws that limit the ability of hospitals to identify actionable targets for quality improvement (QI). Therefore, at the request of the Centers for Medicare and Medicaid Services, our group created and validated a new VTE Prophylaxis Composite Measure that includes the three best practice elements of postoperative VTE prophylaxis: (1) chemoprophylaxis, (2) sequential compression devices, and (3) early ambulation. The measure helps hospitals easily identify actionable QI targets for VTE prophylaxis. This application proposes to use an intensive, mixed methods evaluation in twelve hospitals of four key types (large academic; large community; small/medium community with QI experience; small/medium community with little/no QI experience) to examine how hospitals differentially adapt and utilize the resource, ““Preventing Hospital-Associated Venous Thromboembolism: A Guide for Effective Quality Improvement” (VTE QI Guide) to address QI targets identified by the VTE Prophylaxis Composite Measure, while taking into account their hospital-specific contexts. The lessons learned will culminate in the development of “Tailored Adaptations of the AHRQ VTE QI Guide,” a companion to the VTE QI Guide, which will equip hospitals with practical strategies to adapt and implement the VTE QI Guide within their hospital type and local context. Finally, the value of tailored use of the VTE QI Guide will be assessed by comparing pre- and post-implementation adherence to the VTE Prophylaxis Composite Measure in the twelve hospitals.
期刊论文(23)
专著(0)
科研奖励(0)
会议论文
Variation in Hospital Utilization of Minimally Invasive Distal Pancreatectomy for Localized Pancreatic Neoplasms.
用于局部胰腺肿瘤的微创远端胰腺切除术的医院利用率变化。
DOI: 10.1007/s11605-019-04414-7
发表时间: 2020-12
期刊: Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
影响因子: --
作者: [Ellis RJ, Zhang LM, Ko CY, Cohen ME, Bentrem DJ, Bilimoria KY, Yang AD, Talamonti MS, Merkow RP]
通讯作者: Merkow RP
DOI: 10.1097/as9.0000000000000258
发表时间: 2023-03
期刊: Annals of surgery open : perspectives of surgical history, education, and clinical approaches
影响因子: --
作者: []
通讯作者:
DOI: 10.1245/s10434-020-08220-3
发表时间: 2020-05
期刊: Annals of surgical oncology
影响因子: 3.7
作者: [Patel D, Phay JE, Yen TWF, Dickson PV, Wang TS, Garcia R, Yang AD, Solórzano CC, Kim LT]
通讯作者: Kim LT
Amalgamation of cloud-based colonoscopy videos with patient-level metadata to facilitate large-scale machine learning.
将基于云的结肠镜检查视频与患者级元数据合并,以促进大规模的机器学习。
DOI: 10.1055/a-1326-1289
发表时间: 2021-03
期刊: Endoscopy international open
影响因子: 2.6
作者: [Keswani RN, Byrd D, Garcia Vicente F, Heller JA, Klug M, Mazumder NR, Wood J, Yang AD, Etemadi M]
通讯作者: Etemadi M
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    Tailored Adaptation of the AHRQ VTE QI Guide to Local Hospital Context.
    海外基金