2023
Relationship Between In-Hospital Adverse Events and Hospital Performance on 30-Day All-cause Mortality and Readmission for Patients With Heart Failure
Wang Y, Eldridge N, Metersky M, Rodrick D, Eckenrode S, Mathew J, Galusha D, Peterson A, Hunt D, Normand S, Krumholz H. Relationship Between In-Hospital Adverse Events and Hospital Performance on 30-Day All-cause Mortality and Readmission for Patients With Heart Failure. Circulation Cardiovascular Quality And Outcomes 2023, 16: e009573. PMID: 37463255, PMCID: PMC10351904, DOI: 10.1161/circoutcomes.122.009573.Peer-Reviewed Original ResearchConceptsMore adverse eventsAdverse eventsHeart failureCause mortalityReadmission ratesHigh riskMedicare Patient Safety Monitoring SystemHospital-acquired adverse eventsIn-Hospital Adverse EventsHospital adverse eventsRate of patientsPatient Safety DatabasePerformance categoriesAdverse event dataCross-sectional studyUnited States CentersHospital performanceHospital characteristicsReadmission dataPatient riskMAIN OUTCOMEPatientsWorst hospitalsHospitalHigh mortality
2022
Analysis of Hospital-Level Readmission Rates and Variation in Adverse Events Among Patients With Pneumonia in the United States
Wang Y, Eldridge N, Metersky ML, Rodrick D, Faniel C, Eckenrode S, Mathew J, Galusha DH, Tasimi A, Ho SY, Jaser L, Peterson A, Normand ST, Krumholz HM. Analysis of Hospital-Level Readmission Rates and Variation in Adverse Events Among Patients With Pneumonia in the United States. JAMA Network Open 2022, 5: e2214586. PMID: 35639379, PMCID: PMC9157270, DOI: 10.1001/jamanetworkopen.2022.14586.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesMedicare Patient Safety Monitoring SystemCause readmission rateAdverse eventsReadmission ratesHigh riskHospital-level readmission ratesHigher patient riskHospital adverse eventsAdverse event dataCross-sectional studyHospital performanceIndex hospitalizationMedian ageHospital characteristicsMedical recordsReadmission dataPatient riskHospital careMAIN OUTCOMEPneumoniaHospital levelPatientsReadmissionGreater riskAssociation between Residential Segregation and Long-Term Acute Care Hospital Performance on Improvement in Function among Ventilated Patients.
Jain S, Walkey AJ, Law AC, Ferrante LE, Lindenauer PK, Krumholz HM. Association between Residential Segregation and Long-Term Acute Care Hospital Performance on Improvement in Function among Ventilated Patients. Annals Of The American Thoracic Society 2022, 19: 147-150. PMID: 34644244, PMCID: PMC8787797, DOI: 10.1513/annalsats.202107-796rl.Peer-Reviewed Original Research
2021
Administrative Claims Measure for Profiling Hospital Performance Based on 90-Day All-Cause Mortality Following Coronary Artery Bypass Graft Surgery
Mori M, Nasir K, Bao H, Jimenez A, Legore SS, Wang Y, Grady J, Lama SD, Brandi N, Lin Z, Kurlansky P, Geirsson A, Bernheim SM, Krumholz HM, Suter LG. Administrative Claims Measure for Profiling Hospital Performance Based on 90-Day All-Cause Mortality Following Coronary Artery Bypass Graft Surgery. Circulation Cardiovascular Quality And Outcomes 2021, 14: e006644. PMID: 33535776, DOI: 10.1161/circoutcomes.120.006644.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesCoronary artery bypass graft surgeryArtery bypass graft surgeryBypass graft surgeryMortality rateGraft surgeryC-statisticMedicaid ServicesAdministrative Claims MeasureCause mortality ratesMortality measuresUnadjusted mortality ratesProfiling Hospital PerformanceHierarchical logistic regression modelsAlternate payment modelsHospital performanceLogistic regression modelsCABG recoveryPayment modelsCABG surgeryCause mortalityCABG proceduresDays postsurgeryHospital levelSurgeryAssociation of Graduate Medical Education With Hospital Performance and Patient Outcomes
Zinoviev R, Krumholz HM, Pirruccio K, Forman H. Association of Graduate Medical Education With Hospital Performance and Patient Outcomes. JAMA Network Open 2021, 4: e2034196. PMID: 33507257, PMCID: PMC7844596, DOI: 10.1001/jamanetworkopen.2020.34196.Peer-Reviewed Original ResearchConceptsResident academic performanceFinancial standingGME fundingFinancial scoresFinancial performance scoreHospital's financial standingFunding dataHospital financial dataHospital performanceFinancial dataEconomic evaluationAnnual subsidyEducation fundingHospital operationsMedical education fundingHospital Compare databaseSubsidiesRegression modelsFundingLinear regression modelsCostRecipient hospitalModelBoard certification examinationStanding
2019
Association Between Hospital Recognition for Resuscitation Guideline Adherence and Rates of Survival for In-Hospital Cardiac Arrest
Khera R, Tang Y, Link MS, Krumholz HM, Girotra S, Chan PS. Association Between Hospital Recognition for Resuscitation Guideline Adherence and Rates of Survival for In-Hospital Cardiac Arrest. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005429. PMID: 30871337, PMCID: PMC6592630, DOI: 10.1161/circoutcomes.118.005429.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAwards and PrizesFemaleGuideline AdherenceHeart ArrestHospital MortalityHospitalsHumansInpatientsMaleMiddle AgedOutcome and Process Assessment, Health CarePatient DischargePractice Guidelines as TopicPractice Patterns, Physicians'Quality Indicators, Health CareRegistriesResuscitationTime FactorsTime-to-TreatmentTreatment OutcomeUnited StatesYoung AdultConceptsHospital cardiac arrestCardiac arrestRate of survivalSpontaneous circulationIn-Hospital Cardiac ArrestGuidelines-Resuscitation registryCardiac arrest survivalEndotracheal tube placementHigh rateHospital performanceBest tertileGuidelines-ResuscitationNational GetGuideline adherenceOverall survivalBackground HospitalTube placementNational registryChest compressionsResuscitation qualityHospitalHospital recognitionAward statusSurvivalWeak association
2018
Association of Racial and Socioeconomic Disparities With Outcomes Among Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, and Pneumonia
Downing NS, Wang C, Gupta A, Wang Y, Nuti SV, Ross JS, Bernheim SM, Lin Z, Normand ST, Krumholz HM. Association of Racial and Socioeconomic Disparities With Outcomes Among Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, and Pneumonia. JAMA Network Open 2018, 1: e182044. PMID: 30646146, PMCID: PMC6324513, DOI: 10.1001/jamanetworkopen.2018.2044.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overBlack PeopleCohort StudiesFee-for-Service PlansFemaleHealth Status DisparitiesHeart FailureHospitalizationHospitalsHumansMaleMedicareMiddle AgedMyocardial InfarctionOutcome Assessment, Health CarePneumoniaRacial GroupsRetrospective StudiesSocial ClassUnited StatesWhite PeopleConceptsAcute myocardial infarctionRisk-standardized mortality ratesRisk-standardized readmission ratesReadmission ratesHeart failureMyocardial infarctionMortality rateIntraclass correlation coefficientAnalysis cohortBlack patientsHospital proportionSocioeconomic disparitiesHospital analysisRisk-standardized outcomesRisk-standardized ratesRetrospective cohort studySocioeconomic statusNeighborhood income levelHospital performanceHospital outcomesCohort studyNumber of hospitalsBroader systemic effectsPatient raceMAIN OUTCOME
2017
Hospital Performance on Percutaneous Coronary Intervention Process and Outcomes Measures
Chui PW, Parzynski CS, Nallamothu BK, Masoudi FA, Krumholz HM, Curtis JP. Hospital Performance on Percutaneous Coronary Intervention Process and Outcomes Measures. Journal Of The American Heart Association 2017, 6: e004276. PMID: 28446493, PMCID: PMC5524055, DOI: 10.1161/jaha.116.004276.Peer-Reviewed Original ResearchMeSH KeywordsCardiac RehabilitationCoronary DiseaseCross-Sectional StudiesHealthcare DisparitiesHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMedicarePatient DischargePatient ReadmissionPercutaneous Coronary InterventionPlatelet Aggregation InhibitorsProcess Assessment, Health CareQuality ImprovementQuality Indicators, Health CareReferral and ConsultationRegistriesRisk FactorsTime FactorsTime-to-TreatmentTreatment OutcomeUnited StatesConceptsProcess measuresReadmission ratesOutcome measuresNational Cardiovascular Data Registry CathPCI RegistryHospital performancePercutaneous coronary interventionSpecific process measuresRisk-standardized mortalityPCI patientsCathPCI RegistryCoronary interventionHospital variationOutcome ratesHospital qualityPhysician ConsortiumMortalitySmall percentageWeak correlationAssociationIntervention processPatients
2016
Life Expectancy after Myocardial Infarction, According to Hospital Performance
Bucholz EM, Butala NM, Ma S, Normand ST, Krumholz HM. Life Expectancy after Myocardial Infarction, According to Hospital Performance. New England Journal Of Medicine 2016, 375: 1332-1342. PMID: 27705249, PMCID: PMC5118048, DOI: 10.1056/nejmoa1513223.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionRisk-standardized mortality ratesMyocardial infarctionLife expectancyMortality rateHospital performanceCooperative Cardiovascular ProjectProportional hazards modelLong-term survivalCase-mix severityLonger life expectancySurvival benefitInfarctionMedicare beneficiariesPatientsHospital case mixCase mixHospitalSurvival curvesQuintileStudy sampleSignificant differencesEarly survivalExpectancySurvivalAssociation Between Hospital Performance on Patient Safety and 30‐Day Mortality and Unplanned Readmission for Medicare Fee‐for‐Service Patients With Acute Myocardial Infarction
Wang Y, Eldridge N, Metersky ML, Sonnenfeld N, Fine JM, Pandolfi MM, Eckenrode S, Bakullari A, Galusha DH, Jaser L, Verzier NR, Nuti SV, Hunt D, Normand S, Krumholz HM. Association Between Hospital Performance on Patient Safety and 30‐Day Mortality and Unplanned Readmission for Medicare Fee‐for‐Service Patients With Acute Myocardial Infarction. Journal Of The American Heart Association 2016, 5: e003731. PMID: 27405808, PMCID: PMC5015406, DOI: 10.1161/jaha.116.003731.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCause of DeathCenters for Medicare and Medicaid Services, U.S.Fee-for-Service PlansFemaleHospitalsHospitals, RuralHospitals, VoluntaryHumansMaleMedicareMortalityMyocardial InfarctionPatient ReadmissionPatient SafetyPrognosisUnited StatesUnited States Agency for Healthcare Research and QualityConceptsAcute myocardial infarctionUnplanned readmission rateMedicare Patient Safety Monitoring SystemRisk-standardized mortalityAdverse eventsReadmission ratesService patientsMedicare feeUnplanned readmissionMyocardial infarctionMedicare patientsPatient safetyHospital performanceMore adverse eventsAdverse event ratesAcute care hospitalsPatient safety dataHospital mortalityAdverse event measuresCause mortalityOccurrence rateCare hospitalHospital characteristicsReadmission dataPatient safety performance
2014
Strategies to reduce hospital 30-day risk-standardized mortality rates for patients with acute myocardial infarction: a cross-sectional and longitudinal survey
Bradley EH, Sipsma H, Brewster AL, Krumholz HM, Curry L. Strategies to reduce hospital 30-day risk-standardized mortality rates for patients with acute myocardial infarction: a cross-sectional and longitudinal survey. BMC Cardiovascular Disorders 2014, 14: 126. PMID: 25252826, PMCID: PMC4182840, DOI: 10.1186/1471-2261-14-126.Peer-Reviewed Original ResearchMeSH KeywordsCooperative BehaviorCross-Sectional StudiesEmergency Medical ServicesEmergency Medical TechniciansHealth Care SurveysHospital MortalityHospitalsHumansInservice TrainingInterdisciplinary CommunicationLongitudinal StudiesMedical Order Entry SystemsMyocardial InfarctionOrganizational CulturePatient Care TeamQuality ImprovementQuality Indicators, Health CareTime FactorsUnited StatesConceptsAcute myocardial infarctionAMI mortality ratesPercentage of hospitalsMortality rateMyocardial infarctionAMI mortalityHospital AMI mortality ratesRisk-standardized mortality ratesEmergency medical services (EMS) providersHospital strategiesCross-sectional surveyPhysician order entryBackgroundSurvival ratesAMI careMedical service providersResultsBetween 2010HospitalU.S. hospitalsOrder entryRegular trainingInfarctionLongitudinal analysisHospital performanceMortalityCurrent useNational Patterns of Risk-Standardized Mortality and Readmission After Hospitalization for Acute Myocardial Infarction, Heart Failure, and Pneumonia: Update on Publicly Reported Outcomes Measures Based on the 2013 Release
Suter LG, Li SX, Grady JN, Lin Z, Wang Y, Bhat KR, Turkmani D, Spivack SB, Lindenauer PK, Merrill AR, Drye EE, Krumholz HM, Bernheim SM. National Patterns of Risk-Standardized Mortality and Readmission After Hospitalization for Acute Myocardial Infarction, Heart Failure, and Pneumonia: Update on Publicly Reported Outcomes Measures Based on the 2013 Release. Journal Of General Internal Medicine 2014, 29: 1333-1340. PMID: 24825244, PMCID: PMC4175654, DOI: 10.1007/s11606-014-2862-5.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionHeart failurePneumonia mortalityMyocardial infarctionMedian risk-standardized mortality rateHospital-level mortalityUnplanned readmission ratePrincipal discharge diagnosisHospital performanceRisk-Standardized MortalityHF mortalityReadmission resultsReadmission ratesDischarge diagnosisOutcome measuresAMI mortalityReadmission measuresPneumoniaMortality rateService MedicareHierarchical logistic modelsMortalityMedicaid ServicesReadmissionRisk Adjustment of Ischemic Stroke Outcomes for Comparing Hospital Performance
Katzan IL, Spertus J, Bettger JP, Bravata DM, Reeves MJ, Smith EE, Bushnell C, Higashida RT, Hinchey JA, Holloway RG, Howard G, King RB, Krumholz HM, Lutz BJ, Yeh RW. Risk Adjustment of Ischemic Stroke Outcomes for Comparing Hospital Performance. Stroke 2014, 45: 918-944. PMID: 24457296, DOI: 10.1161/01.str.0000441948.35804.77.Peer-Reviewed Original ResearchMeSH KeywordsAmerican Heart AssociationBrain IschemiaHospitalsHumansModels, OrganizationalOutcome Assessment, Health CarePatient ReadmissionPredictive Value of TestsPrognosisQuality of Health CareRecovery of FunctionReproducibility of ResultsRisk AdjustmentSample SizeStrokeTreatment OutcomeUnited StatesConceptsIschemic stroke outcomeRisk-adjustment modelsStroke severityStroke outcomeStroke careOutcome measuresHospital levelRisk-adjusted outcome comparisonsRisk adjustmentHospital-level outcomesHospital performanceVascular risk factorsImportant prognostic factorIschemic stroke careIndividual patient levelStroke severity measuresRisk-adjusted modelsHospital-level performanceQuality of strokeComparison of qualityIschemic strokePrognostic factorsComorbid conditionsFunctional outcomeMajor disability
2013
Hospital readmission performance and patterns of readmission: retrospective cohort study of Medicare admissions
Dharmarajan K, Hsieh AF, Lin Z, Bueno H, Ross JS, Horwitz LI, Barreto-Filho JA, Kim N, Suter LG, Bernheim SM, Drye EE, Krumholz HM. Hospital readmission performance and patterns of readmission: retrospective cohort study of Medicare admissions. The BMJ 2013, 347: f6571. PMID: 24259033, PMCID: PMC3898430, DOI: 10.1136/bmj.f6571.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionRetrospective cohort studyReadmission diagnosesReadmission ratesHeart failureMyocardial infarctionCohort studySpecific diagnosisReadmission performanceHospital readmission performancePatterns of readmissionDay readmission rateRisk-standardized readmission ratesLow performing hospitalsHospital performanceHigh performing hospitalsReadmission timingDay readmissionHospital stayIndex admissionHospital dischargeReadmission patternsHospital admissionCommon diagnosisMedian timeRelationship Between Hospital Readmission and Mortality Rates for Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia
Krumholz HM, Lin Z, Keenan PS, Chen J, Ross JS, Drye EE, Bernheim SM, Wang Y, Bradley EH, Han LF, Normand SL. Relationship Between Hospital Readmission and Mortality Rates for Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia. JAMA 2013, 309: 587-593. PMID: 23403683, PMCID: PMC3621028, DOI: 10.1001/jama.2013.333.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionRisk-standardized readmission ratesHospital risk-standardized mortality ratesHeart failureMyocardial infarctionHospital characteristicsMortality rateReadmission ratesProportion of hospitalsHospital readmissionMedicare feePneumoniaInfarctionService beneficiariesHospitalPatientsMedicaid ServicesHospital performanceSubgroupsFailureCauseReadmissionSignificant negative linear relationship
2010
DEVELOPMENT OF TWO REGISTRY-BASED MEASURES SUITABLE FOR CHARACTERIZING HOSPITAL PERFORMANCE ON 30-DAY ALL-CAUSE MORTALITY RATES AMONG PATIENTS UNDERGOING PERCUTANEOUS CORONARY INTERVENTION
Curtis J, Geary L, Wang Y, Chen J, Drye E, Grosso L, Schreiner G, Spertus J, Rumsfeld J, Weintraub W, Normand S, Krumholz H. DEVELOPMENT OF TWO REGISTRY-BASED MEASURES SUITABLE FOR CHARACTERIZING HOSPITAL PERFORMANCE ON 30-DAY ALL-CAUSE MORTALITY RATES AMONG PATIENTS UNDERGOING PERCUTANEOUS CORONARY INTERVENTION. Journal Of The American College Of Cardiology 2010, 55: a197.e1852. DOI: 10.1016/s0735-1097(10)61853-0.Peer-Reviewed Original Research
2009
Patterns of Hospital Performance in Acute Myocardial Infarction and Heart Failure 30-Day Mortality and Readmission
Krumholz HM, Merrill AR, Schone EM, Schreiner GC, Chen J, Bradley EH, Wang Y, Wang Y, Lin Z, Straube BM, Rapp MT, Normand SL, Drye EE. Patterns of Hospital Performance in Acute Myocardial Infarction and Heart Failure 30-Day Mortality and Readmission. Circulation Cardiovascular Quality And Outcomes 2009, 2: 407-413. PMID: 20031870, DOI: 10.1161/circoutcomes.109.883256.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHeart failureReadmission ratesMyocardial infarctionMortality rateRisk-standardized mortality ratesAge 65 yearsRisk-standardized mortalityHospital referral regionsHospital structural characteristicsType of hospitalHospital performancePrimary diagnosisHospital characteristicsReferral regionsMedicare feeMortalityMedicaid ServicesInfarctionHospitalGeographic differencesReadmissionFailureDiagnosisDoor-to-Balloon Times in Hospitals Within the Get-With-The-Guidelines Registry After Initiation of the Door-to-Balloon (D2B) Alliance
Nallamothu BK, Krumholz HM, Peterson ED, Pan W, Bradley E, Stern AF, Masoudi FA, Janicke DM, Hernandez AF, Cannon CP, Fonarow GC, Investigators D. Door-to-Balloon Times in Hospitals Within the Get-With-The-Guidelines Registry After Initiation of the Door-to-Balloon (D2B) Alliance. The American Journal Of Cardiology 2009, 103: 1051-1055. PMID: 19361588, DOI: 10.1016/j.amjcard.2008.12.030.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionPrimary percutaneous coronary interventionD2B AlliancePercentage of patientsGWTG-CADBalloon timeST-elevation myocardial infarctionNational quality improvement effortsQuality improvement effortsBalloon (D2B) AllianceDTB timeNontransferred patientsCoronary interventionPatient characteristicsMyocardial infarctionMultivariable modelAmerican CollegePatientsDisease programsHospitalStudy periodSignificant differencesHospital performanceMinutesImprovement efforts
2007
Comparing Hospital Performance in Door-to-Balloon Time Between the Hospital Quality Alliance and the National Cardiovascular Data Registry
Nallamothu BK, Wang Y, Bradley EH, Ho KK, Curtis JP, Rumsfeld JS, Masoudi FA, Krumholz HM. Comparing Hospital Performance in Door-to-Balloon Time Between the Hospital Quality Alliance and the National Cardiovascular Data Registry. Journal Of The American College Of Cardiology 2007, 50: 1517-1519. PMID: 17919575, DOI: 10.1016/j.jacc.2007.07.010.Peer-Reviewed Original ResearchConceptsNational Cardiovascular Data RegistryHospital Quality AllianceBalloon timeData registryQuality AllianceHospital performanceRegistryMeasuring Performance For Treating Heart Attacks And Heart Failure: The Case For Outcomes Measurement
Krumholz HM, Normand SL, Spertus JA, Shahian DM, Bradley EH. Measuring Performance For Treating Heart Attacks And Heart Failure: The Case For Outcomes Measurement. Health Affairs 2007, 26: 75-85. PMID: 17211016, DOI: 10.1377/hlthaff.26.1.75.Peer-Reviewed Original Research