2024
Social Determinants of Health and Delivery of Rehabilitation to Older Adults During ICU Hospitalization
Jain S, Murphy T, Falvey J, Leo-Summers L, O’Leary J, Zang E, Gill T, Krumholz H, Ferrante L. Social Determinants of Health and Delivery of Rehabilitation to Older Adults During ICU Hospitalization. JAMA Network Open 2024, 7: e2410713. PMID: 38728030, PMCID: PMC11087837, DOI: 10.1001/jamanetworkopen.2024.10713.Peer-Reviewed Original ResearchConceptsSocial determinants of healthDeterminants of healthOccupational therapyPhysical therapyOlder adultsRural residentsIntensive care unit hospitalizationRehabilitation deliveryIntensive care unitSocial determinantsSocioeconomic disadvantageNational Health and Aging Trends StudyDelivery of physical therapyIllness hospitalizationFactors associated with lower oddsDelivery of rehabilitationIn-hospital rehabilitationMitigate functional declineMedicaid eligibilityBurden of disabilityHigh school educationDual MedicareTrends StudyMedicare claimsLength of stay
2023
Trends in the likelihood of receiving percutaneous coronary intervention in a low-volume hospital and disparities by sociodemographic communities
Wang C, Lindquist K, Krumholz H, Hsia R. Trends in the likelihood of receiving percutaneous coronary intervention in a low-volume hospital and disparities by sociodemographic communities. PLOS ONE 2023, 18: e0279905. PMID: 36652416, PMCID: PMC9847957, DOI: 10.1371/journal.pone.0279905.Peer-Reviewed Original ResearchConceptsLow-volume hospitalsNon-Latinx WhitesRelative riskSociodemographic groupsLow-income zip codesHospital PCI volumeRetrospective cohort studyPercutaneous coronary interventionCoronary artery diseaseLow-volume centersFavorable patient outcomesLow-volume facilitiesZip code median incomeLow incomeRace/ethnicityCohort studyCoronary interventionLatinx patientsSecondary outcomesArtery diseasePCI centerPrimary outcomePCI volumeAsian patientsCertain socioeconomic factors
2022
Long-Term Stability of Coverage Among Michigan Medicaid Beneficiaries : A Cohort Study.
Ndumele C, Lollo A, Krumholz H, Schlesinger M, Wallace J. Long-Term Stability of Coverage Among Michigan Medicaid Beneficiaries : A Cohort Study. Annals Of Internal Medicine 2022, 176: 22-28. PMID: 36469920, DOI: 10.7326/m22-1313.Peer-Reviewed Original Research
2019
Development and Testing of Improved Models to Predict Payment Using Centers for Medicare & Medicaid Services Claims Data
Krumholz HM, Warner F, Coppi A, Triche EW, Li SX, Mahajan S, Li Y, Bernheim SM, Grady J, Dorsey K, Desai NR, Lin Z, Normand ST. Development and Testing of Improved Models to Predict Payment Using Centers for Medicare & Medicaid Services Claims Data. JAMA Network Open 2019, 2: e198406. PMID: 31411709, PMCID: PMC6694388, DOI: 10.1001/jamanetworkopen.2019.8406.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHeart failurePopulation-based programsPOA codesSingle diagnostic codeDiagnostic codesComparative effectiveness research studyPublic reportingIndex admission diagnosisDays of hospitalizationClinical Modification codesService claims dataAcute care hospitalsMultiple care settingsPatient-level modelsAdmission diagnosisTotal hospitalizationsCare hospitalPrevious diagnosisNinth RevisionMyocardial infarctionCandidate variablesCare settingsClaims dataMAIN OUTCOMEAssociation Between Insurance Status and Access to Hospital Care in Emergency Department Disposition
Venkatesh AK, Chou SC, Li SX, Choi J, Ross JS, D’Onofrio G, Krumholz HM, Dharmarajan K. Association Between Insurance Status and Access to Hospital Care in Emergency Department Disposition. JAMA Internal Medicine 2019, 179: 686-693. PMID: 30933243, PMCID: PMC6503571, DOI: 10.1001/jamainternmed.2019.0037.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAsthmaCritical CareCross-Sectional StudiesDatabases, FactualEmergency Service, HospitalFemaleHealth Services AccessibilityHospitalizationHumansInsurance CoverageInsurance, HealthLung DiseasesMaleMedicaidMedically UninsuredMiddle AgedPatient DischargePatient TransferPneumoniaPulmonary Disease, Chronic ObstructiveUnited StatesConceptsNational Emergency Department SampleEmergency Department SampleCommon medical conditionsUninsured patientsCritical care capabilitiesED dischargeED visitsED transfersPulmonary diseaseCare capabilitiesInsurance statusHigher oddsMedicaid beneficiariesMedical conditionsChronic obstructive pulmonary diseaseAcute pulmonary diseaseEmergency department transfersAdult ED visitsHospital admission ratesObstructive pulmonary diseaseEmergency department dispositionPatient insurance statusPatient case mixHospital ownership statusIntensive care capabilitiesPersistent geographic variations in availability and quality of nursing home care in the United States: 1996 to 2016
Wang Y, Zhang Q, Spatz ES, Gao Y, Eckenrode S, Johnson F, Ho SY, Hu S, Xing C, Krumholz HM. Persistent geographic variations in availability and quality of nursing home care in the United States: 1996 to 2016. BMC Geriatrics 2019, 19: 103. PMID: 30975076, PMCID: PMC6460800, DOI: 10.1186/s12877-019-1117-z.Peer-Reviewed Original Research
2017
Hospital Characteristics Associated With Risk-standardized Readmission Rates
Horwitz LI, Bernheim SM, Ross JS, Herrin J, Grady JN, Krumholz HM, Drye EE, Lin Z. Hospital Characteristics Associated With Risk-standardized Readmission Rates. Medical Care 2017, 55: 528-534. PMID: 28319580, PMCID: PMC5426655, DOI: 10.1097/mlr.0000000000000713.Peer-Reviewed Original Research
2013
National Trends in Heart Failure Hospital Stay Rates, 2001 to 2009
Chen J, Dharmarajan K, Wang Y, Krumholz HM. National Trends in Heart Failure Hospital Stay Rates, 2001 to 2009. Journal Of The American College Of Cardiology 2013, 61: 1078-1088. PMID: 23473413, PMCID: PMC3939721, DOI: 10.1016/j.jacc.2012.11.057.Peer-Reviewed Original ResearchConceptsHospital stay ratesLength of stayHF hospital stayHospital mortalityYears of ageHospital stayPatients 18Stay ratesNational Inpatient Sample dataU.S. hospital dischargesPatients 65 yearsPrimary discharge diagnosisSignificant declineOlder Medicare beneficiariesNational Inpatient SampleBlack menLarge national datasetHospital dischargeOlder patientsPatients 55Younger patientsDischarge diagnosisInpatient SampleMedicare beneficiariesAge 65
2012
State Medicaid Programs Did Not Make Use Of Prior Authorization To Promote Safer Prescribing After Rosiglitazone Warning
Ross JS, Jackevicius C, Krumholz HM, Ridgeway J, Montori VM, Alexander GC, Zerzan J, Fan J, Shah ND. State Medicaid Programs Did Not Make Use Of Prior Authorization To Promote Safer Prescribing After Rosiglitazone Warning. Health Affairs 2012, 31: 188-198. PMID: 22232110, PMCID: PMC3319744, DOI: 10.1377/hlthaff.2011.1068.Peer-Reviewed Original ResearchConceptsState Medicaid programsPreferred drugDrug listPrior authorizationMedicaid programSafety warningsPrior authorization programHigh-cost drugsDiabetes medicationsPrescribing ratesEffective prescribingSafe prescribingMedicaid beneficiariesDiabetes drugsPrescribingState MedicaidHeart attackRosiglitazoneDrug availabilityDrugsAuthorization programPrescriptionMinimal changesMedicationsProviders
2010
Who is missing from the measures? Trends in the proportion and treatment of patients potentially excluded from publicly reported quality measures
Bernheim SM, Wang Y, Bradley EH, Masoudi FA, Rathore SS, Ross JS, Drye E, Krumholz HM. Who is missing from the measures? Trends in the proportion and treatment of patients potentially excluded from publicly reported quality measures. American Heart Journal 2010, 160: 943-950.e5. PMID: 21095284, PMCID: PMC3319386, DOI: 10.1016/j.ahj.2010.06.046.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAgedAngiotensin-Converting Enzyme InhibitorsCross-Sectional StudiesFemaleHospitalizationHumansMaleMedicaidMedicareMyocardial InfarctionOutcome and Process Assessment, Health CarePlatelet Aggregation InhibitorsPrognosisQuality ImprovementQuality Indicators, Health CareRetrospective StudiesUnited StatesConceptsAcute myocardial infarctionProportion of patientsRelative contraindicationAngiotensin-converting enzyme inhibitorTreatment of patientsMedicaid Services core measuresQuality improvement projectPublic reportingCross-sectional analysisMyocardial infarctionMedicare patientsHospital careΒ-blockersAMI admissionsPatientsInsufficient evidenceEnzyme inhibitorsTreatment ratesBetter careContraindicationsMedicaid ServicesData cohortCore measuresTreatmentImprovement project
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
2006
Nonfinancial Incentives for Quality
Bufalino V, Peterson ED, Krumholz HM, Burke GL, LaBresh KA, Jones DW, Faxon DP, Valadez AM, Solis P, Schwartz JS. Nonfinancial Incentives for Quality. Circulation 2006, 115: 398-401. PMID: 17179024, DOI: 10.1161/circulationaha.106.180202.Peer-Reviewed Original Research
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
1997
Differences in physician compensation for cardiovascular services by age, sex, and race.
Krumholz HM, Fendrick AM, Williams C, Hynes WM. Differences in physician compensation for cardiovascular services by age, sex, and race. The American Journal Of Managed Care 1997, 3: 557-63. PMID: 10169524.Peer-Reviewed Original ResearchConceptsConsecutive patientsCoronary angioplastyCardiovascular servicesPercutaneous transluminal coronary angioplastyPatients 75 yearsTransluminal coronary angioplastyPercutaneous coronary angioplastyPatients 40Patients 65Patient characteristicsPatient groupInsurance statusCardiology practicePhysiciansStress testingAngioplastySignificant differencesPatientsLower ratesSimilar differencesPhysician compensationAgeSexYearsDifferencesDeterminants of Appropriate Use of Angiotensin-Converting Enzyme Inhibitors After Acute Myocardial Infarction in Persons ≥65 Years of Age
Krumholz H, Vaccarino V, Ellerbeck E, Kiefe C, Hennen J, Kresowik T, Gold J, Jencks S, Radford M. Determinants of Appropriate Use of Angiotensin-Converting Enzyme Inhibitors After Acute Myocardial Infarction in Persons ≥65 Years of Age. The American Journal Of Cardiology 1997, 79: 581-586. PMID: 9068512, DOI: 10.1016/s0002-9149(96)00819-3.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAlabamaAngiotensin-Converting Enzyme InhibitorsConnecticutContraindicationsControlled Clinical Trials as TopicDecision MakingDiabetes ComplicationsDiureticsDrug PrescriptionsDrug UtilizationFemaleFollow-Up StudiesHeart FailureHospitalizationHumansIowaMaleMedicaidMultivariate AnalysisMyocardial InfarctionPatient DischargeRetrospective StudiesStroke VolumeTachycardia, VentricularUnited StatesVentricular Function, LeftWisconsinConceptsAcute myocardial infarctionACE inhibitorsMyocardial infarctionDischarge medicationsVentricular functionEnzyme inhibitorsLeft ventricular ejection fractionAngiotensin-converting enzyme inhibitorAngiotensin converting enzyme (ACE) inhibitorsVentricular Enlargement (SAVE) trialCongestive heart failureVentricular ejection fractionYears of ageEligible patientsPatient characteristicsAppropriate patientsDiabetes mellitusEjection fractionHeart failureLoop diureticsMultivariable analysisVentricular tachycardiaIdeal patientObservational studyPatients