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
Trends in readmission rates for safety net hospitals and non-safety net hospitals in the era of the US Hospital Readmission Reduction Program: a retrospective time series analysis using Medicare administrative claims data from 2008 to 2015
Salerno AM, Horwitz LI, Kwon JY, Herrin J, Grady JN, Lin Z, Ross JS, Bernheim SM. Trends in readmission rates for safety net hospitals and non-safety net hospitals in the era of the US Hospital Readmission Reduction Program: a retrospective time series analysis using Medicare administrative claims data from 2008 to 2015. BMJ Open 2017, 7: e016149. PMID: 28710221, PMCID: PMC5541519, DOI: 10.1136/bmjopen-2017-016149.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramNon-safety net hospitalsSafety-net hospitalMedicare administrative claims dataReadmission ratesAdministrative claims dataNet hospitalReadmissions Reduction ProgramRetrospective time series analysisSafety netClaims dataTime series analysisSocioeconomic statusUnplanned readmission ratePrincipal discharge diagnosisLow socioeconomic statusInterrupted time seriesReduction programsFive-digit zip codeSeries analysisHRRP penaltiesIndex admissionHospital proportionDischarge diagnosisService patients
2016
Accounting For Patients’ Socioeconomic Status Does Not Change Hospital Readmission Rates
Bernheim SM, Parzynski CS, Horwitz L, Lin Z, Araas MJ, Ross JS, Drye EE, Suter LG, Normand SL, Krumholz HM. Accounting For Patients’ Socioeconomic Status Does Not Change Hospital Readmission Rates. Health Affairs 2016, 35: 1461-1470. PMID: 27503972, PMCID: PMC7664840, DOI: 10.1377/hlthaff.2015.0394.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramPatients' socioeconomic statusMedicare's Hospital Readmissions Reduction ProgramLow socioeconomic statusReadmission ratesSocioeconomic statusRisk-standardized readmission ratesHospital readmission ratesReadmissions Reduction ProgramMedicaid Services methodologyReadmission measuresHospital resultsPatientsHospitalSuch hospitalsPayment penaltiesReduction programsStatusCurrent CentersLower proportionLarge proportionPercentAdjustmentProportionRisk-standardized Acute Admission Rates Among Patients With Diabetes and Heart Failure as a Measure of Quality of Accountable Care Organizations
Spatz ES, Lipska KJ, Dai Y, Bao H, Lin Z, Parzynski CS, Altaf FK, Joyce EK, Montague JA, Ross JS, Bernheim SM, Krumholz HM, Drye EE. Risk-standardized Acute Admission Rates Among Patients With Diabetes and Heart Failure as a Measure of Quality of Accountable Care Organizations. Medical Care 2016, 54: 528-537. PMID: 26918404, PMCID: PMC5356461, DOI: 10.1097/mlr.0000000000000518.Peer-Reviewed Original ResearchConceptsHeart failure measuresAccountable care organizationsAcute admission ratesHeart failureAdmission ratesNational ratesUnplanned hospital admissionsHeart failure cohortRisk-adjustment variablesPopulation-based measuresCare organizationsOutcome measure developmentIntraclass correlation coefficientHospital admissionDiabetes measuresFailure cohortChronic conditionsMedicare feeDiabetesService beneficiariesPatientsMeet criteriaMeasures of qualitySocioeconomic statusPerformance categories
2014
Place 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
2008
Influence of Patients’ Socioeconomic Status on Clinical Management Decisions: A Qualitative Study
Bernheim SM, Ross JS, Krumholz HM, Bradley EH. Influence of Patients’ Socioeconomic Status on Clinical Management Decisions: A Qualitative Study. The Annals Of Family Medicine 2008, 6: 53-59. PMID: 18195315, PMCID: PMC2203396, DOI: 10.1370/afm.749.Peer-Reviewed Original ResearchConceptsClinical management decisionsPatients' socioeconomic statusClinical managementSocioeconomic statusPatient sPatient outcomesPrimary care physiciansStandard of careInfluence of patientLow socioeconomic statusVaried practice settingsHealth care qualitySES influencesCare physiciansHispanic ethnicityPhysician perspectivesPractice settingsCare qualityPatientsPhysiciansPatient interestMinority racial backgroundsInterview guideFinancial strainOutcomes