2022
Association 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 ResearchMeSH KeywordsBlack or African AmericanHealth FacilitiesHospitalsHumansResidence CharacteristicsRespiration, ArtificialSocial Segregation
2020
Evaluation of STEMI Regionalization on Access, Treatment, and Outcomes Among Adults Living in Nonminority and Minority Communities
Hsia RY, Krumholz H, Shen YC. Evaluation of STEMI Regionalization on Access, Treatment, and Outcomes Among Adults Living in Nonminority and Minority Communities. JAMA Network Open 2020, 3: e2025874. PMID: 33196809, PMCID: PMC7670311, DOI: 10.1001/jamanetworkopen.2020.25874.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBlack or African AmericanCaliforniaCause of DeathCohort StudiesFemaleHealth Services AccessibilityHealthcare DisparitiesHispanic or LatinoHospitalizationHumansMaleMiddle AgedMinority GroupsMortalityNon-Randomized Controlled Trials as TopicPercutaneous Coronary InterventionRegional Medical ProgramsResidence CharacteristicsST Elevation Myocardial InfarctionTime-to-TreatmentWhite PeopleConceptsST-segment elevation myocardial infarctionElevation myocardial infarctionPercutaneous coronary interventionPCI-capable hospitalsZip codesNon-Hispanic whitesPatient's countyCause mortalityCohort studyCoronary interventionPCI hospitalsPCI treatmentWhite patientsCapable hospitalsMyocardial infarctionTop tertileInpatient dataMAIN OUTCOMEPatientsSTEMI regionalizationSmall improvementHospitalPotential mechanismsSame dayHispanic population
2018
Identifying county characteristics associated with resident well-being: A population based study
Roy B, Riley C, Herrin J, Spatz ES, Arora A, Kell KP, Welsh J, Rula EY, Krumholz HM. Identifying county characteristics associated with resident well-being: A population based study. PLOS ONE 2018, 13: e0196720. PMID: 29791476, PMCID: PMC5965855, DOI: 10.1371/journal.pone.0196720.Peer-Reviewed Original ResearchConceptsCounty-level factorsClinical careCross-sectional studyQuality of lifeBetter health outcomesMulti-dimensional assessmentHealth outcomesBeing IndexGallup-Sharecare WellUS residentsCareCounty characteristicsSurvey participantsResident wellUS countiesScoresCounty equivalentsAssessmentFactorsCohort
2015
National Quality Assessment of Early Clopidogrel Therapy in Chinese Patients With Acute Myocardial Infarction (AMI) in 2006 and 2011: Insights From the China Patient‐Centered Evaluative Assessment of Cardiac Events (PEACE)–Retrospective AMI Study
Zhang L, Desai NR, Li J, Hu S, Wang Q, Li X, Masoudi FA, Spertus JA, Nuti SV, Wang S, Krumholz HM, Jiang L, Group T. National Quality Assessment of Early Clopidogrel Therapy in Chinese Patients With Acute Myocardial Infarction (AMI) in 2006 and 2011: Insights From the China Patient‐Centered Evaluative Assessment of Cardiac Events (PEACE)–Retrospective AMI Study. Journal Of The American Heart Association 2015, 4: e001906. PMID: 26163041, PMCID: PMC4608074, DOI: 10.1161/jaha.115.001906.Peer-Reviewed Original ResearchMeSH KeywordsAgedAsian PeopleChinaClopidogrelDrug Administration ScheduleFemaleHealthcare DisparitiesHumansMaleMiddle AgedMyocardial InfarctionNational Health ProgramsPercutaneous Coronary InterventionPlatelet Aggregation InhibitorsPractice Patterns, Physicians'Quality ImprovementQuality Indicators, Health CareResidence CharacteristicsRetrospective StudiesRisk FactorsRural Health ServicesTiclopidineTime FactorsTreatment OutcomeUrban Health ServicesConceptsAcute myocardial infarctionEarly clopidogrel useClopidogrel therapyClopidogrel useRural hospitalsMyocardial infarctionQuality improvement initiativesEligible patientsClopidogrel administrationReperfusion therapyCardiac eventsHospital admissionAMI patientsChina PatientChinese patientsPatterns of useUrban hospitalPatientsClopidogrelChinese trialsHospitalTherapyEarly useAMI studyImprovement initiativesImprovements in the Distribution of Hospital Performance for the Care of Patients With Acute Myocardial Infarction, Heart Failure, and Pneumonia, 2006–2011
Nuti SV, Wang Y, Masoudi FA, Bratzler DW, Bernheim SM, Murugiah K, Krumholz HM. Improvements in the Distribution of Hospital Performance for the Care of Patients With Acute Myocardial Infarction, Heart Failure, and Pneumonia, 2006–2011. Medical Care 2015, 53: 485-491. PMID: 25906012, PMCID: PMC8635168, DOI: 10.1097/mlr.0000000000000358.Peer-Reviewed Original ResearchThe role of socioeconomic status in hospital outcomes measures.
Krumholz HM, Bernheim SM. The role of socioeconomic status in hospital outcomes measures. Annals Of Internal Medicine 2015, 162: 670. PMID: 25939004, DOI: 10.7326/l15-5087-2.Peer-Reviewed Original Research
2014
Considering the role of socioeconomic status in hospital outcomes measures.
Krumholz HM, Bernheim SM. Considering the role of socioeconomic status in hospital outcomes measures. Annals Of Internal Medicine 2014, 161: 833-4. PMID: 25437411, PMCID: PMC5459391, DOI: 10.7326/m14-2308.Peer-Reviewed Original ResearchPlace of Residence and Outcomes of Patients With Heart Failure
Bikdeli B, Wayda B, Bao H, Ross JS, Xu X, Chaudhry SI, Spertus JA, Bernheim SM, Lindenauer PK, Krumholz HM. Place of Residence and Outcomes of Patients With Heart Failure. Circulation Cardiovascular Quality And Outcomes 2014, 7: 749-756. PMID: 25074375, PMCID: PMC5323058, DOI: 10.1161/circoutcomes.113.000911.Peer-Reviewed Original ResearchConceptsNeighborhood socioeconomic statusIndividual socioeconomic statusOutcomes of patientsHeart failureHigher SES neighborhoodsSocioeconomic statusClinical factorsHeart Failure Outcomes trialPrimary end pointPatient-level factorsUS internal medicineCause mortalityCause readmissionMultivariable adjustmentOutcome trialsMedical chartsPatient interviewsLow-SES neighborhoodsCardiology practiceMortality ratePatientsPlace of residenceInternal medicineReadmissionEnd point
2013
Regional Density of Cardiologists and Rates of Mortality for Acute Myocardial Infarction and Heart Failure
Kulkarni VT, Ross JS, Wang Y, Nallamothu BK, Spertus JA, Normand SL, Masoudi FA, Krumholz HM. Regional Density of Cardiologists and Rates of Mortality for Acute Myocardial Infarction and Heart Failure. Circulation Cardiovascular Quality And Outcomes 2013, 6: 352-359. PMID: 23680965, PMCID: PMC5323047, DOI: 10.1161/circoutcomes.113.000214.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCardiologyCohort StudiesFemaleHealth Services AccessibilityHealth Services Needs and DemandHealthcare DisparitiesHeart FailureHospitalizationHumansLinear ModelsLogistic ModelsMaleMedicareMyocardial InfarctionOdds RatioPhysiciansPneumoniaPrognosisResidence CharacteristicsRisk AssessmentRisk FactorsTime FactorsUnited StatesWorkforceConceptsAcute myocardial infarctionHeart failureHospital referral regionsMortality riskLowest quintileMyocardial infarctionReferral regionsMedicare administrative claims dataCharacteristics of patientsRisk of deathAdministrative claims dataHierarchical logistic regression modelsLogistic regression modelsRate of mortalityRegional densityHighest quintileNumber of cardiologistsWorse outcomesClaims dataPatientsPneumoniaCardiologistsHospitalizationAdmissionQuintile
2012
Correlations among risk‐standardized mortality rates and among risk‐standardized readmission rates within hospitals
Horwitz LI, Wang Y, Desai MM, Curry LA, Bradley EH, Drye EE, Krumholz HM. Correlations among risk‐standardized mortality rates and among risk‐standardized readmission rates within hospitals. Journal Of Hospital Medicine 2012, 7: 690-696. PMID: 22865546, PMCID: PMC3535010, DOI: 10.1002/jhm.1965.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionRisk-standardized readmission ratesReadmission ratesRisk-standardized mortalityHeart failureMortality rateReadmission measuresUS hospitalsMortality measuresCross-sectional studyMortality cohortReadmission cohortHospital outcomesSame hospitalMyocardial infarctionMedicare patientsMedicare feeService beneficiariesTeaching hospital membersHospitalSame quartileHospital membersPneumoniaCohortProcedure Intensity and the Cost of Care
Chen SI, Dharmarajan K, Kim N, Strait KM, Li SX, Safavi KC, Lindenauer PK, Krumholz HM, Lagu T. Procedure Intensity and the Cost of Care. Circulation Cardiovascular Quality And Outcomes 2012, 5: 308-313. PMID: 22576844, PMCID: PMC3415230, DOI: 10.1161/circoutcomes.112.966069.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCosts and Cost AnalysisCross-Sectional StudiesFemaleHeart FailureHospital Bed CapacityHospital CostsHospital MortalityHospitalizationHospitals, RuralHospitals, TeachingHospitals, UrbanHumansLength of StayLinear ModelsMaleMiddle AgedModels, EconomicOutcome and Process Assessment, Health CareResidence CharacteristicsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesYoung AdultConceptsHF hospitalizationHeart failureInvasive proceduresHospital groupRisk-standardized mortality ratesProportion of patientsLength of stayCost of careWilcoxon rank sum testHigher procedure ratesRank sum testPatient demographicsPerspective databaseMedian lengthSurgical proceduresProcedure ratesHospitalizationOutcome differencesMortality rateHospitalPatientsPractice styleProcedure useSum testOverall useRegional Associations Between Medicare Advantage Penetration and Administrative Claims-based Measures of Hospital Outcomes
Kulkarni VT, Shah SJ, Bernheim SM, Wang Y, Normand SL, Han LF, Rapp MT, Drye EE, Krumholz HM. Regional Associations Between Medicare Advantage Penetration and Administrative Claims-based Measures of Hospital Outcomes. Medical Care 2012, 50: 406-409. PMID: 22456113, PMCID: PMC5459365, DOI: 10.1097/mlr.0b013e318245a0f9.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionRisk-standardized readmission ratesHospital outcomesReadmission ratesHeart failureMyocardial infarctionPopulation riskOutcome measuresMortality rateMedicare Advantage patientsHospital referral region levelHospital outcome measuresClaims-based measuresMedicaid Services measuresFFS patientsAdvantage patientsRetrospective studyService patientsMedicare feeMedicare Advantage penetrationPatientsMedicaid ServicesInfarctionPneumonia
2011
Do Imaging Studies Performed in Physician Offices Increase Downstream Utilization? An Empiric Analysis of Cardiac Stress Testing With Imaging
Chen J, Fazel R, Ross JS, McNamara RL, Einstein AJ, Al-Mallah M, Krumholz HM, Nallamothu BK. Do Imaging Studies Performed in Physician Offices Increase Downstream Utilization? An Empiric Analysis of Cardiac Stress Testing With Imaging. JACC Cardiovascular Imaging 2011, 4: 630-637. PMID: 21679898, PMCID: PMC3319749, DOI: 10.1016/j.jcmg.2011.04.003.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCardiac CatheterizationChi-Square DistributionEchocardiography, StressEmpirical ResearchFemaleHealthcare DisparitiesHumansInsurance, HealthLogistic ModelsMaleMiddle AgedMyocardial Perfusion ImagingMyocardial RevascularizationOffice VisitsOutpatient Clinics, HospitalPractice Patterns, Physicians'Predictive Value of TestsResidence CharacteristicsTime FactorsUnited StatesYoung AdultConceptsMyocardial perfusion imagingSubsequent myocardial perfusion imagingProportion of patientsStress echocardiographyCardiac catheterizationHospital outpatient settingPhysician's officeOutpatient settingStress testingSubsequent cardiac testingCardiac stress testingDownstream resource utilizationHospital outpatient facilitiesCardiac testingPrivate health insuranceDownstream testingOffice imagingPerfusion imagingCatheterizationImaging studiesOutpatient imagingPatientsHealth insuranceLower ratesHigh rate
2005
Enrolling Older Persons in Cancer Trials: The Effect of Sociodemographic, Protocol, and Recruitment Center Characteristics
Gross CP, Herrin J, Wong N, Krumholz HM. Enrolling Older Persons in Cancer Trials: The Effect of Sociodemographic, Protocol, and Recruitment Center Characteristics. Journal Of Clinical Oncology 2005, 23: 4755-4763. PMID: 16034051, DOI: 10.1200/jco.2005.14.365.Peer-Reviewed Original ResearchConceptsCancer trialsOlder personsRecruitment centerElderly enrollmentProportion of patientsEffect of patientProstate cancer trialsPatient-level variationFinal study sampleNational Cancer InstituteCross-sectional analysisEffects of sociodemographicsNonwhite patientsTrial participantsOutlier centersCancer InstitutePatientsEnrollment centerMultivariate analysisLikelihood of participantsCancer typesLogistic multilevel modelsTrialsCenter characteristicsStudy sampleEnrollment of Older Persons in Cancer Trials After the Medicare Reimbursement Policy Change
Gross CP, Wong N, Dubin JA, Mayne ST, Krumholz HM. Enrollment of Older Persons in Cancer Trials After the Medicare Reimbursement Policy Change. JAMA Internal Medicine 2005, 165: 1514-1520. PMID: 16009867, DOI: 10.1001/archinte.165.13.1514.Peer-Reviewed Original ResearchConceptsOlder patientsCancer trialsReimbursement policy changesOlder personsPatients' sociodemographic characteristicsTrial exclusion criteriaMultivariate logistic regressionProstate cancer trialsProportion of participantsNational Cancer InstituteRoutine care costsSignificant changesClinical trialsPrimary study sampleExclusion criteriaTrial participantsCancer InstitutePatientsPrimary analysisCare costsMultivariate analysisSecondary analysisSociodemographic characteristicsLogistic regressionCancer types