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A Sepsis Transition Program to Reduce Morbidity and Mortality in High Risk Individuals

A Sepsis Transition Program to Reduce Morbidity and Mortality in High Risk Individuals
败血症过渡计划可降低高危人群的发病率和死亡率
批准号:
10397042
负责人:
Marc Kowalkowski
金额:
$62.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-07-23 至 2024-04-30
关键词:
AccountingAddressAdoptionAdultAnxietyAreaBenchmarkingCaringCessation of lifeChronicClinicalCognitiveCommunicationComplexConsolidated Framework for Implementation ResearchCost AnalysisCost Effectiveness AnalysisDataData MartDevelopmentDissemination and ImplementationEarly identificationEffectivenessElectronic Health RecordEthnographyEvaluationEvidence based practiceFaceFunctional disorderGeographic LocationsGoalsHealthHealth Care CostsHealth Services AccessibilityHealth care facilityHealth systemHealthcareHealthcare ActivityHealthcare SystemsHospital MortalityHospitalizationHospitalsImpact evaluationImpaired healthImpairmentIndividualInterventionKnowledgeLinkMedication ErrorsMental DepressionMental HealthMethodsModelingMonitorMorbidity - disease rateNorth CarolinaNursesOrganOutcomePalliative CareParticipantPatient CarePatient-Focused OutcomesPatientsPharmaceutical PreparationsPopulationPopulation HeterogeneityPost-Traumatic Stress DisordersPrimary InfectionProcessProviderPublic HealthQuality-Adjusted Life YearsRandomizedRecommendationRecoveryResearchResearch DesignResearch MethodologyResolutionResourcesRiskRoleSepsisServicesSiteSurvivorsSystemTechnologyTestingTimeUnited StatesWorkacute careagedarmbasecare coordinationcare costscare providersclinical practiceclinically significantcomorbiditycontextual factorscostcost effectivecost effectivenessdata warehousedesigndissemination researcheconomic evaluationeffectiveness evaluationevidence baseexperiencefuture implementationhealth care deliveryhealth care settingshigh riskhospital readmissionimplementation evaluationimplementation facilitationimplementation frameworkimplementation researchimplementation strategyimprovedintervention programmortalitypoint of careprediction algorithmprematureprogramsprospectivepublic health prioritiesrandomized controlled studyrisk predictionseptic patientssocietal coststelehealthtreatment as usualvirtualvirtual healthcare

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PROJECT SUMMARY Sepsis survivors and healthcare systems are burdened by high mortality, morbidity, and utilization following hospitalization for sepsis. While many complications post-sepsis result from preventable causes, healthcare systems lack efficient strategies to deliver evidence-based care recommendations targeted to specific deficits experienced by sepsis survivors. There is urgent need to determine successful implementation strategies for post-sepsis care to improve patient outcomes. The overarching goal of our work is to reduce hospital readmissions and post-discharge mortality for patients admitted to an acute care facility for sepsis. The objective of this study is to evaluate the effectiveness and cost-effectiveness of implementing an evidence- based Sepsis Transition And Recovery (STAR) program to develop broadly generalizable knowledge on best practices for post-sepsis care. To achieve this objective, we will: 1) link EHR based data to risk prediction algorithms to identify at the point of care patients who are high risk for post-sepsis mortality and readmission; and 2) implement evidence-based post-sepsis care recommendations, directed to high-risk sepsis survivors, and delivered using a proactive, nurse navigation process. The STAR program will focus on adults aged 18 and older hospitalized for sepsis. Effectiveness of the STAR program is assessed using a stepped-wedge, cluster randomized controlled study design. Eight acute care hospitals from diverse geographic regions of western and central North Carolina will be randomized to a staggered sequence (i.e., steps 1 to 8) of transitioning from Usual Care to STAR group assignment. The two intervention conditions are: Arm 1) Usual care in which hospitals and their providers have no access to intervention-related post-sepsis care support; and Arm 2) STAR program intervention in which a centrally located nurse navigator facilitates the application of four evidence-based core components of post-sepsis care (i.e., review of medications, new impairments, comorbidities, and palliative care), to patients prior to and during the 90 days after hospital discharge. With eight hospital sites and 4400 potentially eligible patients, this study will formally test the hypothesis that STAR program implementation is superior to usual care with respect to significantly lower rate of combined death or hospital readmission, at 90 days. We further hypothesize that STAR will have lower healthcare and societal costs than usual care. We will use the Consolidated Framework for Implementation Research processes to guide implementation planning, organization, conduct, and impact evaluation of this complex intervention into a large, diverse healthcare system. We will apply focused ethnography to obtain an intensive and nuanced understanding of the nurse navigator’s important role in the execution of the STAR program. The proposed project will engage a heterogeneous population with substantial morbidity and mortality and gaps in the delivery of evidence-based post-sepsis care. Results will advance dissemination and implementation research methods that can improve the immense long-term healthcare burden of sepsis.
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Personalized Clinical Decision Support to Improve Participation in Hospital at Home
  • 批准号:
    10428461
  • 项目类别:
  • 资助金额:
    $10.18万
  • 财政年份:
    2021
  • 负责人:
    Marc Kowalkowski
  • 依托单位:
COVID-19 Healthcare Access and Sequelae Evaluation
  • 批准号:
    10320654
  • 项目类别:
  • 资助金额:
    $14.66万
  • 财政年份:
    2019
  • 负责人:
    Marc Kowalkowski
  • 依托单位:
A Sepsis Transition Program to Reduce Morbidity and Mortality in High Risk Individuals
  • 批准号:
    9982449
  • 项目类别:
  • 资助金额:
    $61.35万
  • 财政年份:
    2019
  • 负责人:
    Marc Kowalkowski
  • 依托单位:
A Sepsis Transition Program to Reduce Morbidity and Mortality in High Risk Individuals
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