2023
Association of Neighborhood-Level Marginalization With Health Care Use and Clinical Outcomes Following Hospital Discharge in Patients Who Underwent Coronary Catheterization for Acute Myocardial Infarction in a Single-Payer Health Care System
Akioyamen L, Abdel-Qadir H, Han L, Sud M, Mistry N, Alter D, Atzema C, Austin P, Bhatia R, Booth G, Dhalla I, Ha A, Jackevicius C, Kapral M, Krumholz H, Lee D, McNaughton C, Roifman I, Schull M, Sivaswamy A, Tu K, Udell J, Wijeysundera H, Ko D. Association of Neighborhood-Level Marginalization With Health Care Use and Clinical Outcomes Following Hospital Discharge in Patients Who Underwent Coronary Catheterization for Acute Myocardial Infarction in a Single-Payer Health Care System. Circulation Cardiovascular Quality And Outcomes 2023, 16: e010063. PMID: 38050754, DOI: 10.1161/circoutcomes.123.010063.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionHealth care systemHospital dischargeClinical outcomesSocioeconomic statusFirst acute myocardial infarctionProportional hazards regression modelsCare systemSecondary prevention medicationsWorse clinical outcomesHealth service usePopulation-based studyPrimary care physiciansHealth care useHazards regression modelsGreater long-term riskPrescription medication useSingle-payer health care systemUniversal health care systemLong-term riskLow socioeconomic statusCause mortalityDays postdischargePrevention medications
2019
Disparities in Socioeconomic Context and Association With Blood Pressure Control and Cardiovascular Outcomes in ALLHAT
Shahu A, Herrin J, Dhruva SS, Desai NR, Davis BR, Krumholz HM, Spatz ES. Disparities in Socioeconomic Context and Association With Blood Pressure Control and Cardiovascular Outcomes in ALLHAT. Journal Of The American Heart Association 2019, 8: e012277. PMID: 31362591, PMCID: PMC6761647, DOI: 10.1161/jaha.119.012277.Peer-Reviewed Original ResearchConceptsBlood pressure controlLow-income sitesCardiovascular outcomesPressure controlALLHAT participantsPoor blood pressure controlEnd-stage renal diseaseHospitalization/mortalityAdverse cardiovascular eventsCardiovascular risk factorsWorse cardiovascular outcomesHigh blood pressureStandardized treatment protocolRandomized clinical trialsBackground Observational studiesLow socioeconomic statusHighest income quintileAngina hospitalizationCardiovascular eventsCause mortalityCoronary revascularizationClinical characteristicsBlood pressureRenal diseaseClinical outcomes
2018
Variation in and Hospital Characteristics Associated With the Value of Care for Medicare Beneficiaries With Acute Myocardial Infarction, Heart Failure, and Pneumonia
Desai NR, Ott LS, George EJ, Xu X, Kim N, Zhou S, Hsieh A, Nuti SV, Lin Z, Bernheim SM, Krumholz HM. Variation in and Hospital Characteristics Associated With the Value of Care for Medicare Beneficiaries With Acute Myocardial Infarction, Heart Failure, and Pneumonia. JAMA Network Open 2018, 1: e183519. PMID: 30646247, PMCID: PMC6324438, DOI: 10.1001/jamanetworkopen.2018.3519.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionHeart failureHigh-value careHospital characteristicsValue of careMyocardial infarctionNational cross-sectional studyHospital risk-standardized mortality ratesMedian risk-standardized mortality rateProportion of patientsSafety-net statusAcute care hospitalsCross-sectional studyLow socioeconomic statusCharacteristics of hospitalsValue-based payment modelsWeak inverse correlationCare hospitalHospital variationHospital typeHospitalizationMAIN OUTCOMEPneumoniaMedicare beneficiaries
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 proportionPercentAdjustmentProportion
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
2007
Socioeconomic disparities in outcomes after acute myocardial infarction
Bernheim SM, Spertus JA, Reid KJ, Bradley EH, Desai RA, Peterson ED, Rathore SS, Normand SL, Jones PG, Rahimi A, Krumholz HM. Socioeconomic disparities in outcomes after acute myocardial infarction. American Heart Journal 2007, 153: 313-319. PMID: 17239695, DOI: 10.1016/j.ahj.2006.10.037.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionBaseline clinical statusClinical factorsQuality of careLow socioeconomic statusSocioeconomic statusClinical statusMyocardial infarctionMultivariable modelingWorse clinical statusEducation levelSelf-reported household incomeCause mortalityCause rehospitalizationHazard ratioCare measuresObservational studyHousehold incomeRehospitalizationHigh riskUS hospitalsHigh mortalityPatientsMortalitySocioeconomic disparities
2006
Socioeconomic status, treatment, and outcomes among elderly patients hospitalized with heart failure: Findings from the National Heart Failure Project
Rathore SS, Masoudi FA, Wang Y, Curtis JP, Foody JM, Havranek EP, Krumholz HM. Socioeconomic status, treatment, and outcomes among elderly patients hospitalized with heart failure: Findings from the National Heart Failure Project. American Heart Journal 2006, 152: 371-378. PMID: 16875925, PMCID: PMC2790269, DOI: 10.1016/j.ahj.2005.12.002.Peer-Reviewed Original ResearchConceptsLeft ventricular systolic function assessmentHigh SES patientsVentricular systolic function assessmentHeart failureSES patientsSystolic function assessmentYear of dischargeQuality of careSocioeconomic statusMultivariable adjustmentFunction assessmentEnzyme inhibitorsNational Heart Failure ProjectHeart Failure ProjectPrescription of angiotensinLow SES patientsPatients' socioeconomic statusAssociation of SESYear of admissionMedical record dataHierarchical logistic regression modelsLow socioeconomic statusLogistic regression modelsPatient sElderly patients
2005
The impact of socioeconomic status and race on trial participation for older women with breast cancer
Gross CP, Filardo G, Mayne ST, Krumholz HM. The impact of socioeconomic status and race on trial participation for older women with breast cancer. Cancer 2005, 103: 483-491. PMID: 15597407, DOI: 10.1002/cncr.20792.Peer-Reviewed Original ResearchMeSH KeywordsAgedAsianBlack or African AmericanBreast NeoplasmsCase-Control StudiesClinical Trials as TopicFemaleHispanic or LatinoHumansLogistic ModelsMedicaidMultivariate AnalysisNational Institutes of Health (U.S.)Odds RatioPatient SelectionPovertySEER ProgramUnemploymentUnited StatesWhite PeopleConceptsBreast cancer trialsTrial participationOlder womenBreast cancerSocioeconomic statusMedicaid insuranceTrial enrollmentCancer patientsCancer trialsMultivariable logistic regression modelBreast cancer patientsMedicaid insurance coverageAssociation of SESHigh-poverty zip codesCase-control studyPopulation-based sampleLow socioeconomic statusLogistic regression modelsImpact of SESWhite patientsBlack patientsSEER areasBlack raceElderly womenTrial participants