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Building a Learning Healthcare System to Understand and Improve Sepsis Outcomes in the VA TeleICU Network

Building a Learning Healthcare System to Understand and Improve Sepsis Outcomes in the VA TeleICU Network
建立学习医疗系统以了解和改善 VA TeleICU 网络中的败血症结果
批准号:
10221781
负责人:
James Marlow Blum
金额:
$0.0万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-07-01 至 2024-06-30

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中文摘要
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英文摘要
Background: Sepsis, the body’s overwhelming systemic response to infection, strikes more than 1 million patients annually in the United States and is known to impact over 48,000 Veterans every year. Over the past decade, sepsis survival has continued to improve through a better understanding of effective therapies, early intervention, and prophylaxis. This has been seen in the private sector and VA with inpatient mortality dropping from 15% in 2008 to 10% in 2012. However, despite this improvement, a patient with sepsis may have up to a 100% increased risk of death at 30 days depending on the hospital to which he/she is admitted in the VA system. Significance/Impact: This proposal is specifically designed to address three priority domains of the HSR&D Service - Healthcare Informatics, Quality and Safety of Health Care, and Virtual Care. Through the unique combination of these three domains we plan to address two significant limitations in understanding sepsis in the VA; 1) that existing reports may or may not provide insight into the distinguishing characteristics of the patients that died with sepsis in what are thought to be similar VA ICUs, and 2) in these reports there are multiple interventions known or suspected to improve outcomes with varying levels of efficacy about which little or no information is offered. Innovation: We can use a novel data source (TeleICU) to directly identify the patient level factors associated with negative outcomes in the septic patient population, quantify the practices of high and low performing units, and subsequently improve the care provided to septic patients in VA ICUs using this information. Specific Aims: Aim #1: Evaluate risk factors of negative outcomes for specificity to sepsis and within sepsis types to determine best strategies for adjustment and calculate risk-adjusted ICU mortality rates. Aim #2: Evaluate the incidence of previously unmonitored elements of sepsis care (hypotension, ventilator management, and antibiotics) and their impact on outcomes cited in SA1a (ICU mortality as primary outcome) in VA sepsis patients. Aim #3: Qualitatively examine the management of hypotension, lung protective ventilation, and antibiotic therapy in sepsis patients at high and low performing sites (based on appropriately adjusted ICU mortality rates). Evaluations will include documented protocols, clinical workflows, and TeleICU support. Methodology: We will conduct a mixed methods investigation by merging data from the TeleICU and Corporate Data Warehouse to first identify high and low performing ICUs in the treatment of sepsis. We will then perform an ethnographic investigation of 3 high and low performing ICUs in the treatment of sepsis. Simultaneously, we will examine the management of hypotension, the use of lung protective ventilation, and the use and efficacy of antibiotics in septic patients in the ICU. Next Steps/Implementation: We will develop real-time clinical decision support, to provide local clinicians with updates on septic patients in the ICU that provide information regarding the state of septic patients and their compliance with metrics that are associated with improved outcomes. We anticipate this will improve the overall survival of sepsis patients and potentially reduce the cost of care.
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Building a Learning Healthcare System to Understand and Improve Sepsis Outcomes in the VA TeleICU Network
  • 批准号:
    10816110
  • 项目类别:
  • 资助金额:
    $0.0万
  • 财政年份:
    2020
  • 负责人:
    James Marlow Blum
  • 依托单位:
Building a Learning Healthcare System to Understand and Improve Sepsis Outcomes in the VA TeleICU Network
  • 批准号:
    10663774
  • 项目类别:
  • 资助金额:
    $0.0万
  • 财政年份:
    2020
  • 负责人:
    James Marlow Blum
  • 依托单位:
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