2021
Scope of Practice of US Interventional Cardiologists from an Analysis of Medicare Billing Data
Murugiah K, Chen L, Castro-Dominguez Y, Khera R, Krumholz HM. Scope of Practice of US Interventional Cardiologists from an Analysis of Medicare Billing Data. The American Journal Of Cardiology 2021, 160: 40-45. PMID: 34610872, DOI: 10.1016/j.amjcard.2021.08.041.Peer-Reviewed Original Research
2014
Hospital variation in risk-standardized hospital admission rates from US EDs among adults
Capp R, Ross JS, Fox JP, Wang Y, Desai MM, Venkatesh AK, Krumholz HM. Hospital variation in risk-standardized hospital admission rates from US EDs among adults. The American Journal Of Emergency Medicine 2014, 32: 837-843. PMID: 24881514, DOI: 10.1016/j.ajem.2014.03.033.Peer-Reviewed Original ResearchConceptsHospital admission ratesEmergency departmentAdmission ratesClinical characteristicsED visitsHospital factorsClinical factorsAdult ED visitsUS emergency departmentsHospital teaching statusCross-sectional analysisPatient characteristicsHospital admissionHospital variationPatientsTeaching statusHospitalED dataVisitsRepresentative sampleAdultsRural locationsAdmissionFactorsNational variations
2013
Patterns of Change in Nesiritide Use in Patients With Heart Failure How Hospitals React to New Information
Partovian C, Li SX, Xu X, Lin H, Strait KM, Hwa J, Krumholz HM. Patterns of Change in Nesiritide Use in Patients With Heart Failure How Hospitals React to New Information. JACC Heart Failure 2013, 1: 318-324. PMID: 24621935, PMCID: PMC5322944, DOI: 10.1016/j.jchf.2013.04.005.Peer-Reviewed Original ResearchConceptsHeart failureNesiritide useHospital characteristicsHospital groupDecompensated heart failureProportion of hospitalizationsPatterns of changeMultivariate regression analysisPatient characteristicsEarly reliefHospital patternsHospitalTeaching statusPremier databaseMedical evidenceHospitalizationPatientsRegression analysisSafety concernsLow usersUse ratesGroupFailureFurther researchDyspneaHospital Strategies Associated With 30-Day Readmission Rates for Patients With Heart Failure
Bradley EH, Curry L, Horwitz LI, Sipsma H, Wang Y, Walsh MN, Goldmann D, White N, Piña IL, Krumholz HM. Hospital Strategies Associated With 30-Day Readmission Rates for Patients With Heart Failure. Circulation Cardiovascular Quality And Outcomes 2013, 6: 444-450. PMID: 23861483, PMCID: PMC3802532, DOI: 10.1161/circoutcomes.111.000101.Peer-Reviewed Original ResearchConceptsLower readmission ratesReadmission ratesHeart failurePrimary physicianHospital strategiesPatient's primary physicianHospital readmission ratesMultivariable linear regression modelsHospital teaching statusNational quality initiativesHospital volumeMedication reconciliationDischarge papersCommunity physiciansLocal hospitalPatientsWeb-based surveyReadmissionPhysician groupsTeaching statusHospitalElectronic summariesQuality InitiativePercentage point reductionLinear regression models
2010
Variation 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
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