2021
Performance Metrics for the Comparative Analysis of Clinical Risk Prediction Models Employing Machine Learning
Huang C, Li SX, Caraballo C, Masoudi FA, Rumsfeld JS, Spertus JA, Normand ST, Mortazavi BJ, Krumholz HM. Performance Metrics for the Comparative Analysis of Clinical Risk Prediction Models Employing Machine Learning. Circulation Cardiovascular Quality And Outcomes 2021, 14: e007526. PMID: 34601947, DOI: 10.1161/circoutcomes.120.007526.Peer-Reviewed Original ResearchImplementing Measurement Science for Electronic Health Record Use
Melnick ER, Sinsky CA, Krumholz HM. Implementing Measurement Science for Electronic Health Record Use. JAMA 2021, 325: 2149-2150. PMID: 33818587, DOI: 10.1001/jama.2021.5487.Peer-Reviewed Original ResearchIncorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models
Triche EW, Xin X, Stackland S, Purvis D, Harris A, Yu H, Grady JN, Li SX, Bernheim SM, Krumholz HM, Poyer J, Dorsey K. Incorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models. JAMA Network Open 2021, 4: e218512. PMID: 33978722, PMCID: PMC8116982, DOI: 10.1001/jamanetworkopen.2021.8512.Peer-Reviewed Original ResearchConceptsPOA indicatorRisk factorsOutcome measuresQuality outcome measuresRisk-adjustment modelsClaims dataAdmission indicatorsPatient risk factorsAcute myocardial infarctionPatient-level outcomesAdministrative claims dataQuality improvement studyClaims-based measuresComparative effectiveness studiesPatient claims dataInternational Statistical ClassificationMortality outcome measuresRelated Health ProblemsHospital quality measuresRisk model performanceHospital stayIndex admissionCare algorithmHeart failureMortality outcomes
2005
Relationship Between Time of Day, Day of Week, Timeliness of Reperfusion, and In-Hospital Mortality for Patients With Acute ST-Segment Elevation Myocardial Infarction
Magid DJ, Wang Y, Herrin J, McNamara RL, Bradley EH, Curtis JP, Pollack CV, French WJ, Blaney ME, Krumholz HM. Relationship Between Time of Day, Day of Week, Timeliness of Reperfusion, and In-Hospital Mortality for Patients With Acute ST-Segment Elevation Myocardial Infarction. JAMA 2005, 294: 803-812. PMID: 16106005, DOI: 10.1001/jama.294.7.803.Peer-Reviewed Original ResearchMeSH KeywordsAdultAfter-Hours CareAgedAged, 80 and overAngioplasty, Balloon, CoronaryBenchmarkingChronology as TopicFemaleHospital MortalityHospitalsHumansMaleMiddle AgedMyocardial InfarctionMyocardial ReperfusionRegistriesRetrospective StudiesThrombolytic TherapyTime and Motion StudiesTime FactorsUnited StatesUtilization ReviewConceptsST-segment elevation myocardial infarctionPercutaneous coronary interventionElevation myocardial infarctionBalloon timeFibrinolytic therapyHospital mortalityMyocardial infarctionAcute ST-segment elevation myocardial infarctionDrug timeRegular hoursTimeliness of reperfusionIn-Hospital MortalityDay of weekPCI patientsReperfusion therapyCohort studyCoronary interventionMean doorHospital characteristicsCatheterization laboratoryBetter outcomesPatientsHospital subgroupsTherapyPatient arrivalFrom Adversary to Partner: Have Quality Improvement Organizations Made the Transition?
Bradley EH, Carlson MD, Gallo WT, Scinto J, Campbell MK, Krumholz HM. From Adversary to Partner: Have Quality Improvement Organizations Made the Transition? Health Services Research 2005, 40: 459-476. PMID: 15762902, PMCID: PMC1361151, DOI: 10.1111/j.1475-6773.2005.0y368.x.Peer-Reviewed Original ResearchMeSH KeywordsAttitude of Health PersonnelBenchmarkingCenters for Medicare and Medicaid Services, U.S.Cross-Sectional StudiesHealth PromotionHospital AdministratorsHospitalsHumansMyocardial InfarctionOrganizational InnovationPhysician ExecutivesProfessional Review OrganizationsQuality Indicators, Health CareTotal Quality ManagementUnited StatesConceptsQuality Improvement OrganizationQuality of careAcute myocardial infarctionImprovement organizationsPeer review organizationsMyocardial infarctionHospital performance dataTarget physiciansNational random sampleSpecific interventionsHospitalHospital administrationQuality improvement directorsInterventionCareReview organizationsPhysiciansRandom sampleAdministrationOne-quarterManagement directorsInfarctionEducational materialsPatientsRespondents
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
1999
Performance of the '100 top hospitals': what does the report card report?
Chen J, Radford MJ, Wang Y, Marciniak TA, Krumholz HM. Performance of the '100 top hospitals': what does the report card report? Health Affairs 1999, 18: 53-68. PMID: 10425843, DOI: 10.1377/hlthaff.18.4.53.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionElderly AMI patientsThirty-day mortalityUse of aspirinLower readmission ratesHospital peer groupsTop hospitalsReadmission ratesAMI patientsSuperior clinical performanceHospital studyMyocardial infarctionHospital costsMedicare patientsBetter outcomesHospitalBetter carePatientsClinical performanceLower lengthReperfusionInfarctionAspirinStayMortalityVariations in and correlates of length of stay in academic hospitals among patients with heart failure resulting from systolic dysfunction.
Krumholz HM, Chen YT, Bradford WD, Cerese J. Variations in and correlates of length of stay in academic hospitals among patients with heart failure resulting from systolic dysfunction. The American Journal Of Managed Care 1999, 5: 715-23. PMID: 10538451.Peer-Reviewed Original ResearchConceptsLength of stayCongestive heart failureHeart failureSystolic dysfunctionPatient characteristicsAcademic hospitalCollaborative quality improvement projectIndividual hospitalsAdmission clinical characteristicsRetrospective cohort studyPrincipal discharge diagnosisNumber of patientsQuality improvement projectUniversity HealthSystem ConsortiumCorrelates of lengthHospital stayPeripheral edemaClinical characteristicsCohort studyRenal failureClinical factorsMajor complicationsHospital eventsRegression modelsAtrial fibrillation