2019
Association 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 capabilities
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
Quality of Care in the United States Territories, 1999–2012
Nuti SV, Wang Y, Masoudi FA, Nunez-Smith M, Normand ST, Murugiah K, Rodríguez-Vilá O, Ross JS, Krumholz HM. Quality of Care in the United States Territories, 1999–2012. Medical Care 2017, 55: 886-892. PMID: 28906314, PMCID: PMC6482857, DOI: 10.1097/mlr.0000000000000797.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHeart failureHospitalization ratesMedicare beneficiariesMortality rateService Medicare beneficiariesQuality of careRecent study periodPneumonia hospitalizationsMyocardial infarctionPatient outcomesMillions of AmericansMedicare feeHealth outcomesPneumoniaService beneficiariesHospital reimbursementUnique beneficiariesHealth equityStudy periodPatient paymentsInpatient paymentsHealth careMortalityCareAssociation of Changing Hospital Readmission Rates With Mortality Rates After Hospital Discharge
Dharmarajan K, Wang Y, Lin Z, Normand ST, Ross JS, Horwitz LI, Desai NR, Suter LG, Drye EE, Bernheim SM, Krumholz HM. Association of Changing Hospital Readmission Rates With Mortality Rates After Hospital Discharge. JAMA 2017, 318: 270-278. PMID: 28719692, PMCID: PMC5817448, DOI: 10.1001/jama.2017.8444.Peer-Reviewed Original ResearchConceptsRisk-adjusted readmission ratesRisk-adjusted mortality ratesAcute myocardial infarctionHeart failureReadmission ratesMortality rateMyocardial infarctionMedicare feeService beneficiariesHospital readmission ratesMean hospitalHospital mortalityPostdischarge mortalityHospital dischargeHospital readmissionRetrospective studyAffordable Care ActReadmission reductionMAIN OUTCOMEPneumoniaHospitalSecondary analysisWeighted Pearson correlation coefficientMortalityCare Act
2016
Association Between Hospital Penalty Status Under the Hospital Readmission Reduction Program and Readmission Rates for Target and Nontarget Conditions
Desai NR, Ross JS, Kwon JY, Herrin J, Dharmarajan K, Bernheim SM, Krumholz HM, Horwitz LI. Association Between Hospital Penalty Status Under the Hospital Readmission Reduction Program and Readmission Rates for Target and Nontarget Conditions. JAMA 2016, 316: 2647-2656. PMID: 28027367, PMCID: PMC5599851, DOI: 10.1001/jama.2016.18533.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramAcute myocardial infarctionReadmission ratesReadmissions Reduction ProgramHeart failurePenalty statusNontarget conditionsMedicare feeMean readmission rateThirty-day riskRetrospective cohort studyUnplanned readmission rateReduction programsHRRP announcementHRRP implementationPenalized hospitalsCohort studyService patientsMyocardial infarctionMAIN OUTCOMEExcess readmissionsMedicare beneficiariesService beneficiariesHospitalPatientsHospital Use of Observation Stays
Venkatesh AK, Wang C, Ross JS, Altaf FK, Suter LG, Vellanky S, Grady JN, Bernheim SM. Hospital Use of Observation Stays. Medical Care 2016, 54: 1070-1077. PMID: 27579906, PMCID: PMC5850934, DOI: 10.1097/mlr.0000000000000601.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesAcute myocardial infarctionObservation staysHeart failureReadmission measuresHospital useHospital risk-standardized readmission ratesCross-sectional analysisModest inverse correlationPostdischarge periodReadmission ratesHospital observationMyocardial infarctionMedicare feeStayPneumoniaService beneficiariesMeasures of qualityMedicaid ServicesHospitalInverse correlationModest correlationReadmissionPublic reportingFailureA Nationwide Assessment of the Association of Smoking Bans and Cigarette Taxes With Hospitalizations for Acute Myocardial Infarction, Heart Failure, and Pneumonia
Ho V, Ross JS, Steiner CA, Mandawat A, Short M, Ku-Goto MH, Krumholz HM. A Nationwide Assessment of the Association of Smoking Bans and Cigarette Taxes With Hospitalizations for Acute Myocardial Infarction, Heart Failure, and Pneumonia. Medical Care Research And Review 2016, 74: 687-704. PMID: 27624634, PMCID: PMC5665160, DOI: 10.1177/1077558716668646.Peer-Reviewed Original ResearchConceptsHeart failure hospitalizationAcute myocardial infarctionHospitalization ratesSmoking bansFailure hospitalizationMyocardial infarctionCigarette taxesPneumonia hospitalization ratesPublic place smoking banComprehensive smoking banHigher cigarette taxesPersons age 60Pneumonia hospitalizationsHeart failureContemporaneous controlsProvider characteristicsHospitalizationAge 60State cigarette taxesHospitalization countsMultiple studiesLocal healthInfarctionNational studyAssociationAssociation of Admission to Veterans Affairs Hospitals vs Non–Veterans Affairs Hospitals With Mortality and Readmission Rates Among Older Men Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia
Nuti SV, Qin L, Rumsfeld JS, Ross JS, Masoudi FA, Normand SL, Murugiah K, Bernheim SM, Suter LG, Krumholz HM. Association of Admission to Veterans Affairs Hospitals vs Non–Veterans Affairs Hospitals With Mortality and Readmission Rates Among Older Men Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia. JAMA 2016, 315: 582-592. PMID: 26864412, PMCID: PMC5459395, DOI: 10.1001/jama.2016.0278.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionNon-VA hospitalsReadmission ratesHeart failureVA hospitalsMortality rateVeterans AffairsMyocardial infarctionOlder menMedicare Standard Analytic FilesRisk-standardized mortality ratesCause readmission rateCause mortality ratesHigher readmission ratesStandard Analytic FilesVeterans Affairs hospitalRisk-standardized readmission ratesAdministrative claims dataAcute care hospitalsAssociation of admissionLittle contemporary informationLower mortality rateCross-sectional analysisAnalysis cohortCare hospital
2015
Strengthening Medical Device Postmarket Safety Surveillance
Ross JS. Strengthening Medical Device Postmarket Safety Surveillance. JAMA Internal Medicine 2015, 175: 1350-1351. PMID: 26099118, DOI: 10.1001/jamainternmed.2015.2650.Commentaries, Editorials and LettersTrajectories of risk after hospitalization for heart failure, acute myocardial infarction, or pneumonia: retrospective cohort study
Dharmarajan K, Hsieh AF, Kulkarni VT, Lin Z, Ross JS, Horwitz LI, Kim N, Suter LG, Lin H, Normand SL, Krumholz HM. Trajectories of risk after hospitalization for heart failure, acute myocardial infarction, or pneumonia: retrospective cohort study. The BMJ 2015, 350: h411. PMID: 25656852, PMCID: PMC4353309, DOI: 10.1136/bmj.h411.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionRetrospective cohort studyHeart failureRisk of deathMyocardial infarctionFirst readmissionAbsolute riskOlder patientsCohort studyRelative riskMedicare feeService beneficiariesRisk of readmissionGeneral elderly populationGeneral older populationRisk trajectoriesHigh-risk periodHospital dischargeHospital admissionDischarge diagnosisAdverse outcomesReadmissionHospitalizationTrajectories of riskElderly population
2013
Hospital readmission performance and patterns of readmission: retrospective cohort study of Medicare admissions
Dharmarajan K, Hsieh AF, Lin Z, Bueno H, Ross JS, Horwitz LI, Barreto-Filho JA, Kim N, Suter LG, Bernheim SM, Drye EE, Krumholz HM. Hospital readmission performance and patterns of readmission: retrospective cohort study of Medicare admissions. The BMJ 2013, 347: f6571. PMID: 24259033, PMCID: PMC3898430, DOI: 10.1136/bmj.f6571.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionRetrospective cohort studyReadmission diagnosesReadmission ratesHeart failureMyocardial infarctionCohort studySpecific diagnosisReadmission performanceHospital readmission performancePatterns of readmissionDay readmission rateRisk-standardized readmission ratesLow performing hospitalsHospital performanceHigh performing hospitalsReadmission timingDay readmissionHospital stayIndex admissionHospital dischargeReadmission patternsHospital admissionCommon diagnosisMedian timeRegional 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 dataPatientsPneumoniaCardiologistsHospitalizationAdmissionQuintileRelationship Between Hospital Readmission and Mortality Rates for Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia
Krumholz HM, Lin Z, Keenan PS, Chen J, Ross JS, Drye EE, Bernheim SM, Wang Y, Bradley EH, Han LF, Normand SL. Relationship Between Hospital Readmission and Mortality Rates for Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia. JAMA 2013, 309: 587-593. PMID: 23403683, PMCID: PMC3621028, DOI: 10.1001/jama.2013.333.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionRisk-standardized readmission ratesHospital risk-standardized mortality ratesHeart failureMyocardial infarctionHospital characteristicsMortality rateReadmission ratesProportion of hospitalsHospital readmissionMedicare feePneumoniaInfarctionService beneficiariesHospitalPatientsMedicaid ServicesHospital performanceSubgroupsFailureCauseReadmissionSignificant negative linear relationshipDiagnoses and Timing of 30-Day Readmissions After Hospitalization for Heart Failure, Acute Myocardial Infarction, or Pneumonia
Dharmarajan K, Hsieh AF, Lin Z, Bueno H, Ross JS, Horwitz LI, Barreto-Filho JA, Kim N, Bernheim SM, Suter LG, Drye EE, Krumholz HM. Diagnoses and Timing of 30-Day Readmissions After Hospitalization for Heart Failure, Acute Myocardial Infarction, or Pneumonia. JAMA 2013, 309: 355-363. PMID: 23340637, PMCID: PMC3688083, DOI: 10.1001/jama.2012.216476.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionCommon readmission diagnosesAcute MI hospitalizationReadmission diagnosesDays of hospitalizationPatient demographic characteristicsHeart failureMyocardial infarctionHF hospitalizationReadmission timingPneumonia hospitalizationsMedian timeMI hospitalizationMedicare feeIndex HF hospitalizationIndex pneumonia hospitalizationProportion of patientsDemographic characteristicsService claims dataMI cohortPneumonia cohortHF cohortCondition categoriesHospitalizationReadmission
2012
Based On Key Measures, Care Quality For Medicare Enrollees At Safety-Net And Non-Safety-Net Hospitals Was Almost Equal
Ross JS, Bernheim SM, Lin Z, Drye EE, Chen J, Normand SL, Krumholz HM. Based On Key Measures, Care Quality For Medicare Enrollees At Safety-Net And Non-Safety-Net Hospitals Was Almost Equal. Health Affairs 2012, 31: 1739-1748. PMID: 22869652, PMCID: PMC3527010, DOI: 10.1377/hlthaff.2011.1028.Peer-Reviewed Original ResearchConceptsSafety-net hospitalNet hospitalReadmission ratesUrban hospitalHeart failure mortalityRisk-standardized ratesAcute myocardial infarctionIndicators of careService Medicare beneficiariesHeart failureClinical outcomesMyocardial infarctionWorse outcomesMedicare beneficiariesHospitalMedicare enrolleesHospital qualityCare qualityVulnerable populationsGreater financial strainOutcomesMortalityFinancial strainCareMore affluent populationsComparison of hospital risk-standardized mortality rates calculated by using in-hospital and 30-day models: an observational study with implications for hospital profiling.
Drye EE, Normand SL, Wang Y, Ross JS, Schreiner GC, Han L, Rapp M, Krumholz HM. Comparison of hospital risk-standardized mortality rates calculated by using in-hospital and 30-day models: an observational study with implications for hospital profiling. Annals Of Internal Medicine 2012, 156: 19-26. PMID: 22213491, PMCID: PMC3319769, DOI: 10.7326/0003-4819-156-1-201201030-00004.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionHospital risk-standardized mortality ratesHospital mortality measuresHeart failureMortality rateObservational studyNonfederal acute care hospitalsMortality measuresAcute care hospitalsMean LOSPrimary outcomeStandardized followCare hospitalBlood InstituteService patientsMyocardial infarctionNational HeartPatient LOSMedicare feePneumoniaHospitalAdmissionHospital qualityHospital profiling
2010
Use of Administrative Claims Models to Assess 30-Day Mortality Among Veterans Health Administration Hospitals
Ross JS, Maynard C, Krumholz HM, Sun H, Rumsfeld JS, Normand SL, Wang Y, Fihn SD. Use of Administrative Claims Models to Assess 30-Day Mortality Among Veterans Health Administration Hospitals. Medical Care 2010, 48: 652-658. PMID: 20548253, PMCID: PMC3020977, DOI: 10.1097/mlr.0b013e3181dbe35d.Peer-Reviewed Original ResearchConceptsStatistical modelAcute myocardial infarctionVeterans Health Administration hospitalsVHA hospitalsHeart failurePneumonia hospitalizationsC-statisticNon-federal hospitalsMedian numberModest heterogeneityAdministration HospitalAdministrative claims dataService Medicare beneficiariesYears of ageHospital Volume and 30-Day Mortality for Three Common Medical Conditions
Ross JS, Normand SL, Wang Y, Ko DT, Chen J, Drye EE, Keenan PS, Lichtman JH, Bueno H, Schreiner GC, Krumholz HM. Hospital Volume and 30-Day Mortality for Three Common Medical Conditions. New England Journal Of Medicine 2010, 362: 1110-1118. PMID: 20335587, PMCID: PMC2880468, DOI: 10.1056/nejmsa0907130.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHospital volumeHeart failureMyocardial infarctionVolume thresholdRisk factorsAnnual hospital volumeHigh-volume hospitalsPatient risk factorsOdds of deathCommon medical conditionsAcute care hospitalsMedicare administrative claimsHierarchical logistic regression modelsCross-sectional analysisLogistic regression modelsCare hospitalHospital characteristicsReduced oddsMedical conditionsAdministrative claimsInfarctionPatientsPneumoniaService beneficiaries