2022
Factors Associated With Disparities in Hospital Readmission Rates Among US Adults Dually Eligible for Medicare and Medicaid
Silvestri D, Goutos D, Lloren A, Zhou S, Zhou G, Farietta T, Charania S, Herrin J, Peltz A, Lin Z, Bernheim S. Factors Associated With Disparities in Hospital Readmission Rates Among US Adults Dually Eligible for Medicare and Medicaid. JAMA Health Forum 2022, 3: e214611. PMID: 35977231, PMCID: PMC8903116, DOI: 10.1001/jamahealthforum.2021.4611.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionNon-DE patientsCommunity-level factorsHospital disparitiesHeart failureDE patientsReadmission ratesCohort studyUS hospitalsRisk-adjusted readmission ratesRetrospective cohort studyHospital readmission ratesLow-income older adultsHospital quality improvementEligible patientsHospital readmissionMedicaid eligibility policyCare transitionsMyocardial infarctionState Medicaid policiesWorse outcomesMedicare patientsMAIN OUTCOMEUS adultsPneumonia
2020
Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data
Li SX, Wang Y, Lama SD, Schwartz J, Herrin J, Mei H, Lin Z, Bernheim SM, Spivack S, Krumholz HM, Suter LG. Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data. BMC Health Services Research 2020, 20: 733. PMID: 32778098, PMCID: PMC7416804, DOI: 10.1186/s12913-020-05611-w.Peer-Reviewed Original ResearchRisk of Systemic Adverse Events after Intravitreal Bevacizumab, Ranibizumab, and Aflibercept in Routine Clinical Practice
Maloney MH, Payne SR, Herrin J, Sangaralingham LR, Shah ND, Barkmeier AJ. Risk of Systemic Adverse Events after Intravitreal Bevacizumab, Ranibizumab, and Aflibercept in Routine Clinical Practice. Ophthalmology 2020, 128: 417-424. PMID: 32781110, DOI: 10.1016/j.ophtha.2020.07.062.Peer-Reviewed Original ResearchMeSH KeywordsAngiogenesis InhibitorsBevacizumabCerebrovascular DisordersDrug-Related Side Effects and Adverse ReactionsFemaleHemorrhageHospitalizationHumansIntravitreal InjectionsMaleMyocardial InfarctionRanibizumabReceptors, Vascular Endothelial Growth FactorRecombinant Fusion ProteinsRetinal DiseasesRetrospective StudiesRisk AssessmentVascular Endothelial Growth Factor AConceptsNeovascular age-related macular degenerationRetinal venous occlusive diseaseDiabetic retinal diseaseSystemic serious adverse eventsAnti-VEGF injectionsAnti-VEGF agentsMajor bleedingAcute myocardial infarctionCause hospitalizationCerebrovascular diseaseRoutine clinical practiceMyocardial infarctionIntravitreal bevacizumabTreatment initiationAdverse eventsPropensity score-weighted Cox proportional hazards modelClinical practiceLarge U.S. administrative claims databaseRisk of MICox proportional hazards modelU.S. administrative claims databaseAge-related macular degenerationRisk-adjusted effectSystemic safety profileRetrospective cohort studyAssociation of Do-Not-Resuscitate Patient Case Mix With Publicly Reported Risk-Standardized Hospital Mortality and Readmission Rates
Pollock BD, Herrin J, Neville MR, Dowdy SC, Franco P, Shah ND, Ting HH. Association of Do-Not-Resuscitate Patient Case Mix With Publicly Reported Risk-Standardized Hospital Mortality and Readmission Rates. JAMA Network Open 2020, 3: e2010383. PMID: 32662845, PMCID: PMC7361656, DOI: 10.1001/jamanetworkopen.2020.10383.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesChronic obstructive pulmonary diseaseAcute myocardial infarctionRevision diagnosis codesHeart failureCross-sectional studyDNR statusReadmission cohortInpatient encountersMortality cohortHighest quintileDiagnosis codesTenth Revision diagnosis codesNinth Revision diagnosis codesAcute care transfersStandard Analytical FilesObstructive pulmonary diseaseCMS Hospital Compare websitePatient-level dataHospital-level performanceHospital-level dataInternational Statistical ClassificationRelated Health ProblemsHospital Compare websiteHospital mortality
2019
Trends in Hospital Readmission of Medicare-Covered Patients With Heart Failure
Blecker S, Herrin J, Li L, Yu H, Grady JN, Horwitz LI. Trends in Hospital Readmission of Medicare-Covered Patients With Heart Failure. Journal Of The American College Of Cardiology 2019, 73: 1004-1012. PMID: 30846093, PMCID: PMC7011858, DOI: 10.1016/j.jacc.2018.12.040.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramSecondary heart failureReadmission ratesHeart failureReadmissions Reduction ProgramHF hospitalizationAffordable Care ActMedicare's Hospital Readmissions Reduction ProgramRisk-adjusted readmission ratesCause readmission rateHigher readmission ratesAcute myocardial infarctionCare ActReduction programsLinear spline regression modelsPneumonia hospitalizationsHospital readmissionMedicare hospitalizationsRetrospective studySecondary diagnosisMyocardial infarctionPrincipal diagnosisHospitalizationSpline regression modelsPatientsMeasuring hospital‐specific disparities by dual eligibility and race to reduce health inequities
Lloren A, Liu S, Herrin J, Lin Z, Zhou G, Wang Y, Kuang M, Zhou S, Farietta T, McCole K, Charania S, Sheares K, Bernheim S. Measuring hospital‐specific disparities by dual eligibility and race to reduce health inequities. Health Services Research 2019, 54: 243-254. PMID: 30666634, PMCID: PMC6341208, DOI: 10.1111/1475-6773.13108.Peer-Reviewed Original ResearchConceptsAfrican American racePatient case mixDual eligibilityReadmission ratesAmerican raceRisk-standardized outcomesHigher readmission ratesDual eligibility statusAcute myocardial infarctionAfrican American patientsRisk-standardized readmission ratesAcute care hospitalsQuality of careMedicaid Services methodologyHealth care qualityHospital disparitiesCare hospitalHeart failureInpatient admissionsMyocardial infarctionAmerican patientsMedicare patientsCase mixHealth outcomesHospitalEducation level and outcomes after acute myocardial infarction in China
Huo X, Khera R, Zhang L, Herrin J, Bai X, Wang Q, Lu Y, Nasir K, Hu S, Li J, Li X, Zheng X, Masoudi FA, Spertus JA, Krumholz HM, Jiang L. Education level and outcomes after acute myocardial infarction in China. Heart 2019, 105: 946. PMID: 30661037, PMCID: PMC6582708, DOI: 10.1136/heartjnl-2018-313752.Peer-Reviewed Original ResearchConceptsMajor adverse cardiovascular eventsLow educational attainmentAcute myocardial infarction (AMI) outcomesAdverse cardiovascular eventsFuture healthcare interventionsMyocardial infarction outcomesCardiovascular risk factorsRisk-adjusted analysisAcute myocardial infarctionMedian participant ageCardiovascular eventsCause mortalityAdverse eventsConsecutive patientsAMI outcomesChina PatientUnadjusted analysesMyocardial infarctionRisk factorsChinese cohortHigh riskEducational attainmentEducational attainment groupsHealthcare interventionsPatients
2018
Hospital Characteristics Associated With Postdischarge Hospital Readmission, Observation, and Emergency Department Utilization
Horwitz LI, Wang Y, Altaf FK, Wang C, Lin Z, Liu S, Grady J, Bernheim SM, Desai NR, Venkatesh AK, Herrin J. Hospital Characteristics Associated With Postdischarge Hospital Readmission, Observation, and Emergency Department Utilization. Medical Care 2018, 56: 281-289. PMID: 29462075, PMCID: PMC6170884, DOI: 10.1097/mlr.0000000000000882.Peer-Reviewed Original ResearchMeSH KeywordsCross-Sectional StudiesEmergency Service, HospitalFee-for-Service PlansHeart FailureHospital AdministrationHospitals, PublicHumansMedicareMyocardial InfarctionNursing Staff, HospitalOwnershipPatient ReadmissionPneumoniaResidence CharacteristicsRetrospective StudiesSafety-net ProvidersUnited StatesConceptsAcute care utilizationAcute myocardial infarctionHeart failureCare utilizationAcute careMyocardial infarctionHospital characteristicsNet hospitalExcess daysPublic hospitalsNonsafety net hospitalsHigher readmission ratesEmergency department utilizationProportion of hospitalsAcute care hospitalsSafety-net hospitalService Medicare beneficiariesLarge urban hospitalMajor teaching hospitalType of hospitalCross-sectional analysisPostdischarge utilizationHospital dischargeHospital factorsReadmission rates
2016
Association Between Hospital Penalty Status Under the Hospital Readmission Reduction Program and Readmission Rates for Target and Nontarget Conditions
Desai NR, Ross JS, Kwon JY, Herrin J, Dharmarajan K, Bernheim SM, Krumholz HM, Horwitz LI. Association Between Hospital Penalty Status Under the Hospital Readmission Reduction Program and Readmission Rates for Target and Nontarget Conditions. JAMA 2016, 316: 2647-2656. PMID: 28027367, PMCID: PMC5599851, DOI: 10.1001/jama.2016.18533.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramAcute myocardial infarctionReadmission ratesReadmissions Reduction ProgramHeart failurePenalty statusNontarget conditionsMedicare feeMean readmission rateThirty-day riskRetrospective cohort studyUnplanned readmission rateReduction programsHRRP announcementHRRP implementationPenalized hospitalsCohort studyService patientsMyocardial infarctionMAIN OUTCOMEExcess readmissionsMedicare beneficiariesService beneficiariesHospitalPatients
2014
Community Factors and Hospital Readmission Rates
Herrin J, St. Andre J, Kenward K, Joshi MS, Audet A, Hines SC. Community Factors and Hospital Readmission Rates. Health Services Research 2014, 50: 20-39. PMID: 24712374, PMCID: PMC4319869, DOI: 10.1111/1475-6773.12177.Peer-Reviewed Original ResearchConceptsHospital readmission ratesReadmission ratesAcute myocardial infarctionHeart failureRisk-standardized readmission ratesHigher readmission ratesCommunity factorsCounty characteristicsNursing Home CompareArea Resource FileMultivariable analysisMeasures of accessMyocardial infarctionCounty demographicsHospitalStrong associationStudy sampleResource FilePneumoniaInfarctionPatientsFactorsNational variationsCareRate
2012
Hospital strategies for reducing risk-standardized mortality rates in acute myocardial infarction.
Bradley EH, Curry LA, Spatz ES, Herrin J, Cherlin EJ, Curtis JP, Thompson JW, Ting HH, Wang Y, Krumholz HM. Hospital strategies for reducing risk-standardized mortality rates in acute myocardial infarction. Annals Of Internal Medicine 2012, 156: 618-26. PMID: 22547471, PMCID: PMC3386642, DOI: 10.7326/0003-4819-156-9-201205010-00003.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionLower risk-standardized mortality ratesMyocardial infarctionNurse championsMortality rateHospital strategiesHospital risk-standardized mortality ratesHospital-level factorsIntensive care unitAcute care hospitalsCardiac catheterization laboratoryCross-sectional surveyUnited Health FoundationCare hospitalCare unitCross-sectional designAMI casesAMI volumeCatheterization laboratoryHospital cliniciansHospitalMultivariate analysisPatientsHealth Foundation
2011
National Performance on Door-In to Door-Out Time Among Patients Transferred for Primary Percutaneous Coronary Intervention
Herrin J, Miller LE, Turkmani DF, Nsa W, Drye EE, Bernheim SM, Ling SM, Rapp MT, Han LF, Bratzler DW, Bradley EH, Nallamothu BK, Ting HH, Krumholz HM. National Performance on Door-In to Door-Out Time Among Patients Transferred for Primary Percutaneous Coronary Intervention. JAMA Internal Medicine 2011, 171: 1879-1886. PMID: 22123793, PMCID: PMC4312661, DOI: 10.1001/archinternmed.2011.481.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionDIDO timeCoronary interventionST-segment elevation acute myocardial infarctionMixed-effects multivariable modelElevation acute myocardial infarctionPrimary percutaneous coronary interventionMedian DIDO timeAcute myocardial infarctionFibrinolytic therapyPatient characteristicsMultivariable analysisEmergency departmentMyocardial infarctionHospital characteristicsMultivariable modelPatientsRural hospitalsHospitalMedicaid ServicesAge categoriesInterventionAfrican AmericansMinutesTreatment timeQuality of Care in the US Territories
Nunez-Smith M, Bradley EH, Herrin J, Santana C, Curry LA, Normand SL, Krumholz HM. Quality of Care in the US Territories. JAMA Internal Medicine 2011, 171: 1528-1540. PMID: 21709184, PMCID: PMC3251926, DOI: 10.1001/archinternmed.2011.284.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionRisk-standardized readmission ratesRisk-standardized mortality ratesHeart failureMortality rateReadmission ratesProcess measuresHospital characteristicsHighest risk-standardized mortality ratesPrincipal discharge diagnosisQuality of careHealth care qualityDischarge diagnosisService patientsMyocardial infarctionTerritorial HospitalNonfederal hospitalsUS territoriesMedicare feePneumoniaHospitalCare qualityPatientsPerformance of hospitalsUS states
2010
Variation in Recovery
Lichtman JH, Lorenze NP, D'Onofrio G, Spertus JA, Lindau ST, Morgan TM, Herrin J, Bueno H, Mattera JA, Ridker PM, Krumholz HM. Variation in Recovery. Circulation Cardiovascular Quality And Outcomes 2010, 3: 684-693. PMID: 21081748, PMCID: PMC3064946, DOI: 10.1161/circoutcomes.109.928713.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionYoung AMI patientsAMI patientsYoung womenHeart diseaseSex differencesExcess mortality riskIschemic heart diseaseRisk stratification modelPsychosocial risk factorsYears of ageQuality of careComparison cohortPrognostic factorsPrognostic importanceAMI populationMyocardial infarctionRisk factorsObservational studyMortality riskHigh riskAMI eventsPatientsAge accountWomenVariation in Hospital Mortality Rates for Patients With Acute Myocardial Infarction
Bradley EH, Herrin J, Curry L, Cherlin EJ, Wang Y, Webster TR, Drye EE, Normand SL, Krumholz HM. Variation in Hospital Mortality Rates for Patients With Acute Myocardial Infarction. The American Journal Of Cardiology 2010, 106: 1108-1112. PMID: 20920648, DOI: 10.1016/j.amjcard.2010.06.014.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHospital characteristicsMyocardial infarctionMortality rateCross-sectional national studyHospital mortality rateHospital patient populationAmerican Hospital Association surveyAMI dischargeMean hospitalHospital outcomesCardiac facilitiesPatient populationAMI volumeMultivariable modelPatient profilesMedicare beneficiariesHospitalHospital bedsPatientsTeaching statusUnited States Census dataStates Census dataInfarctionStatus profile
2006
Strategies for Reducing the Door-to-Balloon Time in Acute Myocardial Infarction
Bradley EH, Herrin J, Wang Y, Barton BA, Webster TR, Mattera JA, Roumanis SA, Curtis JP, Nallamothu BK, Magid DJ, McNamara RL, Parkosewich J, Loeb JM, Krumholz HM. Strategies for Reducing the Door-to-Balloon Time in Acute Myocardial Infarction. New England Journal Of Medicine 2006, 355: 2308-2320. PMID: 17101617, DOI: 10.1056/nejmsa063117.Peer-Reviewed Original ResearchConceptsST-segment elevationBalloon timeCatheterization laboratoryMyocardial infarctionFaster doorEmergency departmentPrimary percutaneous coronary interventionHospital strategiesIntracoronary balloon inflationPercutaneous coronary interventionAcute myocardial infarctionMinority of hospitalsEmergency medicine physiciansReperfusion treatmentCoronary interventionBalloon inflationMedicine physiciansMultivariate analysisHospitalInfarctionPatientsMedicaid ServicesSignificant reductionReal-time data feedbackData feedbackHospital Quality for Acute Myocardial Infarction: Correlation Among Process Measures and Relationship With Short-term Mortality
Bradley EH, Herrin J, Elbel B, McNamara RL, Magid DJ, Nallamothu BK, Wang Y, Normand SL, Spertus JA, Krumholz HM. Hospital Quality for Acute Myocardial Infarction: Correlation Among Process Measures and Relationship With Short-term Mortality. JAMA 2006, 296: 72-78. PMID: 16820549, DOI: 10.1001/jama.296.1.72.Peer-Reviewed Original ResearchMeSH KeywordsAgedCenters for Medicare and Medicaid Services, U.S.Cross-Sectional StudiesHospital MortalityHospitalsHumansJoint Commission on Accreditation of Healthcare OrganizationsMedicareMyocardial InfarctionOutcome and Process Assessment, Health CareQuality Indicators, Health CareRegistriesRisk AssessmentUnited StatesConceptsAcute myocardial infarctionMortality rateMyocardial infarctionProcess measuresAngiotensin-converting enzyme inhibitor useRisk-standardized mortality ratesShort-term mortality rateBeta-blocker useEnzyme inhibitor useHospital performanceHospital-level variationShort-term mortalityQuality process measuresAspirin useCessation counselingHospital outcomesInhibitor useAMI patientsNational registryMedication measuresTherapy measuresHospital qualityInfarctionMedicaid ServicesJoint Commission
2005
Quality Improvement Efforts and Hospital Performance
Bradley EH, Herrin J, Mattera JA, Holmboe ES, Wang Y, Frederick P, Roumanis SA, Radford MJ, Krumholz HM. Quality Improvement Efforts and Hospital Performance. Medical Care 2005, 43: 282-292. PMID: 15725985, DOI: 10.1097/00005650-200503000-00011.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAgedAged, 80 and overCross-Sectional StudiesDrug Utilization ReviewFemaleHospitalsHumansLeadershipMaleMedical Staff, HospitalMiddle AgedMyocardial InfarctionOrganizational CultureOutcome Assessment, Health CarePractice Patterns, Physicians'Quality Indicators, Health CareRegistriesTotal Quality ManagementUnited StatesConceptsAcute myocardial infarctionBeta-blocker prescription ratesQuality improvement effortsMyocardial infarctionBeta-blocker useHospital teaching statusCross-sectional studyQuality improvement interventionsPatient-level dataPhysician leadershipQuality of careHospital performanceHospital quality improvement effortsImprovement effortsQuality improvement strategiesPrescription ratesBorderline significanceNational registryAMI volumeUS hospitalsImprovement interventionsHospitalTeaching statusEvidence baseHigh/medium
2004
Hospital-Level Performance Improvement
Bradley EH, Herrin J, Mattera JA, Holmboe ES, Wang Y, Frederick P, Roumanis SA, Radford MJ, Krumholz HM. Hospital-Level Performance Improvement. Medical Care 2004, 42: 591-599. PMID: 15167327, DOI: 10.1097/01.mlr.0000128006.27364.a9.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAgedAmerican Hospital AssociationCardiology Service, HospitalComorbidityDrug Utilization ReviewFemaleGeographyGuideline AdherenceHealth Care SurveysHumansLogistic ModelsMaleMiddle AgedMyocardial InfarctionPatient DischargeQuality Assurance, Health CareRegistriesSocioeconomic FactorsUnited StatesConceptsBeta-blocker useAcute myocardial infarctionHospital-level variationHospital characteristicsMyocardial infarctionBeta-blocker prescription ratesHospital-level changesHospital-level ratesAmerican Hospital Association Annual SurveyClinical characteristicsPrescription ratesNational registryAMI volumeHospital ratesRate of improvementImprovement rateTeaching statusIndividual hospitalsInfarctionHospitalNational surveyPercentage pointsTime periodUse ratesWeak predictor
2003
What Are Hospitals Doing to Increase Beta-Blocker Use?
Bradley EH, Holmboe ES, Wang Y, Herrin J, Frederick PD, Mattera JA, Roumanis SA, Radford MJ, Krumholz HM. What Are Hospitals Doing to Increase Beta-Blocker Use? The Joint Commission Journal On Quality And Patient Safety 2003, 29: 409-415. PMID: 12953605, DOI: 10.1016/s1549-3741(03)29049-3.Peer-Reviewed Original ResearchConceptsBeta-blocker useQuality improvement interventionsMyocardial infarctionCare coordinatorsClinical pathwayImprovement interventionsAcute myocardial infarctionCross-sectional analysisQuality improvement staffQuality improvement effortsNational registryMedian numberHospitalTelephone surveyInfarctionReminder FormInterventionImprovement effortsRegistryPrevalencePathwayPhysicians