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
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
关键词:
Acute Physiology and Chronic Health EvaluationAcute Respiratory Distress SyndromeAddressAdministratorAffectAntibiotic TherapyAntibioticsAreaBedsCare given by nursesCaringCharacteristicsClinicalClinical DataComputerized Medical RecordCoronaryCritical CareDataData AnalysesData CollectionData SetData SourcesDiagnosisDropsEarly InterventionElementsEthnographyEvaluationEventGeographyHealthcareHealthcare SystemsHospital MortalityHospitalsHypotensionIncidenceInfectionInformaticsInformation SystemsInpatientsInstitutesIntensive CareInterventionInvestigationLearningLiquid substanceLungMeasuresMechanical ventilationMethodologyMethodsModalityModelingMonitorNursesOutcomePatientsPhysiciansPhysiologicalPhysiologyPopulationPositioning AttributePrivate SectorProcessProcess MeasureProphylactic treatmentProtocols documentationProviderReportingRiskRisk AdjustmentRisk FactorsSafetySepsisSiteSourceSpecificityStandardizationStatistical ModelsSystemTelemedicineTestingTimeUnited StatesUpdateVariantVasoconstrictor AgentsVentilatorVeteransWorkbasecare costsclinical decision supportdata warehousedesigneffective therapyefficacy evaluationhealth care servicehemodynamicshigh riskimprovedimproved outcomeinnovationinsightmortalitymortality riskmultidisciplinarynovelpatient populationprimary outcomeprogramsresponseseptic patientssurvival predictiontherapy resistantventilationvirtual healthcare
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
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批准号:10816110
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项目类别:
-
资助金额:$0.0万
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财政年份:2020
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负责人:James Marlow Blum
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依托单位:
Building a Learning Healthcare System to Understand and Improve Sepsis Outcomes in the VA TeleICU Network
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批准号:10663774
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项目类别:
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资助金额:$0.0万
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财政年份:2020
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负责人:James Marlow Blum
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依托单位:
海外基金