2021
Changes in Virtual and In-Person Health Care Utilization in a Large Health System During the COVID-19 Pandemic
Zachrison K, Yan Z, Schwamm L. Changes in Virtual and In-Person Health Care Utilization in a Large Health System During the COVID-19 Pandemic. JAMA Network Open 2021, 4: e2129973. PMID: 34705016, PMCID: PMC8552053, DOI: 10.1001/jamanetworkopen.2021.29973.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAmbulatory CareCOVID-19Cross-Sectional StudiesDelivery of Health Care, IntegratedFemaleHumansMaleMiddle AgedOffice VisitsPandemicsPatient Acceptance of Health CareSARS-CoV-2TelemedicineRegional Changes in Patterns of Stroke Presentation During the COVID-19 Pandemic
Etherton M, Zachrison K, Yan Z, Sveikata L, Bretzner M, Estrada J, Viswanathan A, Singhal A, Schwamm L. Regional Changes in Patterns of Stroke Presentation During the COVID-19 Pandemic. Stroke 2021, 52: 1398-1406. PMID: 33588592, PMCID: PMC8992369, DOI: 10.1161/strokeaha.120.031300.Peer-Reviewed Original ResearchAgedAged, 80 and overCOVID-19Delivery of Health Care, IntegratedFemaleHumansMaleMiddle AgedNew EnglandPandemicsRetrospective StudiesStrokeTelemedicine
2020
Digital triage: Novel strategies for population health management in response to the COVID-19 pandemic
Lai L, Wittbold K, Dadabhoy F, Sato R, Landman A, Schwamm L, He S, Patel R, Wei N, Zuccotti G, Lennes I, Medina D, Sequist T, Bomba G, Keschner Y, Zhang H. Digital triage: Novel strategies for population health management in response to the COVID-19 pandemic. Healthcare 2020, 8: 100493. PMID: 33129176, PMCID: PMC7586929, DOI: 10.1016/j.hjdsi.2020.100493.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceClinical Decision-MakingCOVID-19Delivery of Health Care, IntegratedHotlinesHumansMassachusettsPandemicsPopulation Health ManagementTriageConceptsPre-hospital triagePotential viral transmissionHealthcare system capacityPopulation health managementCOVID-19 pandemicEmergency departmentCOVID-19 casesAppropriate careU.S. healthcare systemClinical staffViral transmissionPatient demandPartners HealthCareHealthcare systemCOVID-19PatientsCareNovel strategyHealth managementArtificial intelligenceHospitalizationPandemicUnique challengesClinicCliniciansWhat Drives Greater Assimilation of Telestroke in Emergency Departments?
Uscher-Pines L, Sousa J, Zachrison K, Guzik A, Schwamm L, Mehrotra A. What Drives Greater Assimilation of Telestroke in Emergency Departments? Journal Of Stroke And Cerebrovascular Diseases 2020, 29: 105310. PMID: 32992169, PMCID: PMC7686253, DOI: 10.1016/j.jstrokecerebrovasdis.2020.105310.Peer-Reviewed Original ResearchAttitude of Health PersonnelClinical ProtocolsDelivery of Health Care, IntegratedEmergency Service, HospitalHealth Knowledge, Attitudes, PracticeHumansInterviews as TopicLeadershipPractice Patterns, Physicians'Quality ImprovementQuality Indicators, Health CareReferral and ConsultationStrokeTelemedicineWorkflowTrends in Telestroke Care Delivery
Sharma R, Zachrison KS, Viswanathan A, Matiello M, Estrada J, Anderson CD, Etherton M, Silverman S, Rost NS, Feske SK, Schwamm LH. Trends in Telestroke Care Delivery. Circulation Cardiovascular Quality And Outcomes 2020, 13: e005903. PMID: 32126805, PMCID: PMC7374496, DOI: 10.1161/circoutcomes.119.005903.Peer-Reviewed Original ResearchAcademic Medical CentersAgedAged, 80 and overCooperative BehaviorDelivery of Health Care, IntegratedFemaleFibrinolytic AgentsHumansInterdisciplinary CommunicationMaleMiddle AgedNew EnglandOutcome and Process Assessment, Health CareProgram EvaluationProof of Concept StudyRemote ConsultationRetrospective StudiesStrokeThrombolytic TherapyTime FactorsTime-to-TreatmentTissue Plasminogen ActivatorTreatment OutcomeWorkflow
2019
Hospital Factors Associated With Interhospital Transfer Destination for Stroke in the Northeast United States
Zachrison K, Onnela J, Reeves M, Hernandez A, Camargo C, Zhao X, Matsouaka R, Goldstein J, Metlay J, Schwamm L. Hospital Factors Associated With Interhospital Transfer Destination for Stroke in the Northeast United States. Journal Of The American Heart Association 2019, 9: e011575. PMID: 31888430, PMCID: PMC6988147, DOI: 10.1161/jaha.118.011575.Peer-Reviewed Original ResearchMeSH KeywordsCatchment Area, HealthDatabases, FactualDelivery of Health Care, IntegratedFibrinolytic AgentsHospitalsHospitals, High-VolumeHospitals, Low-VolumeHumansMedicarePatient TransferPractice Patterns, Physicians'Quality Indicators, Health CareRetrospective StudiesStrokeThrombolytic TherapyTissue Plasminogen ActivatorUnited StatesConceptsAcute ischemic strokeAlteplase administrationIschemic strokeUS hospitalsHospital qualityHospital stroke volumeTransfer destinationsHospital referral regionsHospital factorsNumber of hospitalsStroke patientsHospital characteristicsStroke volumeMedicare claimsReferral regionsHospitalLogistic regressionStrokePatientsHospital performancePotential strategyAdministrationHome timeResult dataConnected dyadsA Network Approach to Stroke Systems of Care
Zachrison K, Dhand A, Schwamm L, Onnela J. A Network Approach to Stroke Systems of Care. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005526. PMID: 31405293, PMCID: PMC6822608, DOI: 10.1161/circoutcomes.119.005526.Peer-Reviewed Original ResearchDigital Health Strategies to Improve Care and Continuity Within Stroke Systems of Care in the United States
Schwamm L. Digital Health Strategies to Improve Care and Continuity Within Stroke Systems of Care in the United States. Circulation 2019, 139: 149-151. PMID: 30615498, DOI: 10.1161/circulationaha.117.029234.Peer-Reviewed Original Research
2018
Ischemic Stroke Transfer Patterns in the Northeast United States
Zachrison K, Onnela J, Hernandez A, Reeves M, Camargo C, Cox M, Matsouaka R, Metlay J, Goldstein J, Schwamm L. Ischemic Stroke Transfer Patterns in the Northeast United States. Journal Of Stroke And Cerebrovascular Diseases 2018, 28: 295-304. PMID: 30389376, DOI: 10.1016/j.jstrokecerebrovasdis.2018.09.048.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overBrain IschemiaDelivery of Health Care, IntegratedFemaleHumansMaleNew EnglandPatient TransferProcess Assessment, Health CareRegional Health PlanningRegistriesStrokeTime FactorsTreatment OutcomeConceptsGuidelines-Stroke registryRegional stroke systemIschemic stroke patientsHospital connectionsTissue plasminogen activatorSevere strokeMore patientsStroke patientsIS patientsReceiving HospitalPatient dischargeStroke systemsPatient transferPatientsHospitalNortheast hospitalsMost hospitalsPlasminogen activatorCareUnited StatesFurther characterizationAdmissionRegistryStrokeComparison of Acute Ischemic Stroke Care and Outcomes Between Comprehensive Stroke Centers and Primary Stroke Centers in the United States
Man S, Zhao X, Uchino K, Hussain M, Smith E, Bhatt D, Xian Y, Schwamm L, Shah S, Khan Y, Fonarow G. Comparison of Acute Ischemic Stroke Care and Outcomes Between Comprehensive Stroke Centers and Primary Stroke Centers in the United States. Circulation Cardiovascular Quality And Outcomes 2018, 11: e004512. PMID: 29794035, PMCID: PMC5978771, DOI: 10.1161/circoutcomes.117.004512.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overBrain IschemiaCertificationComprehensive Health CareDelivery of Health Care, IntegratedEmergency Service, HospitalEndovascular ProceduresFemaleHospital MortalityHospitalsHumansMaleMiddle AgedOutcome and Process Assessment, Health CarePatient AdmissionPatient TransferQuality ImprovementQuality Indicators, Health CareRecovery of FunctionRegistriesRisk AssessmentRisk FactorsStrokeThrombolytic TherapyTime FactorsTime-to-TreatmentTreatment OutcomeUnited StatesConceptsPrimary stroke centerEmergency department admissionsStroke center certificationAcute ischemic strokeIschemic stroke careStroke centersStroke careDepartment admissionsHospital mortalityHospital outcomesIntravenous tPAIschemic strokeCenter certificationTPA timeComprehensive Stroke Center (CSC) certificationAcute ischemic stroke careMultivariable logistic regression modelAcute reperfusion therapyAcute stroke triageBrain Attack CoalitionDefect-free careComprehensive stroke centerOverall care qualityLogistic regression modelsGuidelines-Stroke
2017
The American Heart Association’s Get With the Guidelines (GWTG)-Stroke development and impact on stroke care
Ormseth CH, Sheth KN, Saver JL, Fonarow GC, Schwamm LH. The American Heart Association’s Get With the Guidelines (GWTG)-Stroke development and impact on stroke care. Stroke And Vascular Neurology 2017, 2: 94. PMID: 28959497, PMCID: PMC5600018, DOI: 10.1136/svn-2017-000092.Peer-Reviewed Original ResearchConceptsStroke care deliveryAmerican Heart AssociationHeart AssociationCare deliveryEvidence-based careContinuous quality improvement initiativesQuality improvement initiativesInpatient outcomesStroke ProgramPatient characteristicsStroke outcomeStroke careStroke developmentVoluntary registryPatient outcomesHospital adherenceImprovement initiativesOutcomesCareGuidelinesAssociationGWTGDeliveryRegistryTimely Reperfusion in Stroke and Myocardial Infarction Is Not Correlated
Sauser Zachrison K, Levine D, Fonarow G, Bhatt D, Cox M, Schulte P, Smith E, Suter R, Xian Y, Schwamm L. Timely Reperfusion in Stroke and Myocardial Infarction Is Not Correlated. Circulation Cardiovascular Quality And Outcomes 2017, 10: e003148. PMID: 28283469, PMCID: PMC5369604, DOI: 10.1161/circoutcomes.116.003148.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAngioplasty, Balloon, CoronaryDelivery of Health Care, IntegratedFemaleFibrinolytic AgentsHumansMaleMiddle AgedMyocardial ReperfusionOrganizational ObjectivesPatient Care TeamProspective StudiesQuality ImprovementQuality Indicators, Health CareRegistriesST Elevation Myocardial InfarctionStrokeThrombolytic TherapyTime FactorsTime-to-TreatmentTissue Plasminogen ActivatorUnited StatesConceptsST-segment elevation myocardial infarctionAcute ischemic strokeDTN timeD2B timeTimely reperfusionMyocardial infarctionHospital CompareGuidelines-Coronary Artery DiseaseHospital performanceHierarchical linear regression modelingEligible patientsGuidelines-StrokeNeedle timeSTEMI patientsBalloon timeIschemic strokeArtery diseaseHospital proportionLinear regression modelingProspective studyHospital differencesAIS carePatientsCare processesSpearman's rank correlation coefficient