2023
Longitudinal Patterns in Testosterone Prescribing After US FDA Safety Communication in 2014
Sankar A, Everhart A, Jena A, Jeffery M, Ross J, Shah N, Karaca-Mandic P. Longitudinal Patterns in Testosterone Prescribing After US FDA Safety Communication in 2014. The Joint Commission Journal On Quality And Patient Safety 2023, 49: 458-466. PMID: 37380503, DOI: 10.1016/j.jcjq.2023.05.003.Peer-Reviewed Original ResearchConceptsCoronary artery diseaseFDA safety communicationPhysician characteristicsLabel prescribingCare physiciansTestosterone prescribingService administrative claims dataNon-primary care physiciansCertain physician characteristicsDrug Administration (FDA) safety communicationPrimary care physiciansAdministrative claims dataCase mix indexTestosterone therapyArtery diseaseTestosterone prescriptionsPrescribing levelsMean agePrescription trendsTeaching hospitalClaims dataPrescription levelsMedicare feePrescribingUS Food
2021
Uptake of evidence by physicians: De-adoption of erythropoiesis-stimulating agents after the TREAT trial
Vu K, Zhou J, Everhart A, Desai N, Herrin J, Jena AB, Ross JS, Shah ND, Karaca-Mandic P. Uptake of evidence by physicians: De-adoption of erythropoiesis-stimulating agents after the TREAT trial. BMC Nephrology 2021, 22: 284. PMID: 34419007, PMCID: PMC8379779, DOI: 10.1186/s12882-021-02491-y.Peer-Reviewed Original ResearchConceptsErythropoiesis-stimulating agentsChronic kidney diseaseEpoetin alfaDarbepoetin alfaTREAT trialTypes of ESAsNew clinical evidencePrimary care physiciansMedicare AdvantageUptake of evidenceCare physiciansAnemia treatmentClinical evidenceKidney diseasePhysician genderMedicare feeUnsafe treatmentSegmented regression approachStudy periodPhysiciansService populationConsistent changesAlfaHigher useTreatment
2020
Patient and provider-level factors associated with changes in utilization of treatments in response to evidence on ineffectiveness or harm
Smith LB, Desai NR, Dowd B, Everhart A, Herrin J, Higuera L, Jeffery MM, Jena AB, Ross JS, Shah ND, Karaca-Mandic P. Patient and provider-level factors associated with changes in utilization of treatments in response to evidence on ineffectiveness or harm. International Journal Of Health Economics And Management 2020, 20: 299-317. PMID: 32350680, PMCID: PMC7725279, DOI: 10.1007/s10754-020-09282-2.Peer-Reviewed Original ResearchConceptsPermanent atrial fibrillationType 2 diabetesAtrial fibrillationPermanent atrial fibrillation patientsProvider-level factorsAtrial fibrillation patientsEffective new therapiesPrimary care providersUse of medicationsProvider-level characteristicsUtilization of treatmentHigh-quality health careDronedarone useInterrupted time-series regression modelsFibrillation patientsMedication useDiabetes patientsProvider characteristicsCare providersMedicare feeNew therapiesService claimsFemale providersPatientsMedicationsImpact of left ventricular assist devices and heart transplants on acute myocardial infarction and heart failure mortality and readmission measures
Brandt EJ, Ross JS, Grady JN, Ahmad T, Pawar S, Bernheim SM, Desai NR. Impact of left ventricular assist devices and heart transplants on acute myocardial infarction and heart failure mortality and readmission measures. PLOS ONE 2020, 15: e0230734. PMID: 32214363, PMCID: PMC7098556, DOI: 10.1371/journal.pone.0230734.Peer-Reviewed Original ResearchConceptsLeft ventricular assist deviceHeart transplantation patientsRisk-standardized mortalityHeart transplantationTransplantation patientsAMI cohortReadmission cohortHF cohortVentricular assist deviceAMI mortalityAssist deviceHeart failure mortalityAcute myocardial infarctionHF mortalityLVAD indicationHF patientsLVAD patientsReadmission ratesHeart transplantMyocardial infarctionPrimary diagnosisReadmission measuresMedicare feeChronic supportPatients
2019
Risk of Readmission After Discharge From Skilled Nursing Facilities Following Heart Failure Hospitalization: A Retrospective Cohort Study
Weerahandi H, Li L, Bao H, Herrin J, Dharmarajan K, Ross JS, Kim KL, Jones S, Horwitz LI. Risk of Readmission After Discharge From Skilled Nursing Facilities Following Heart Failure Hospitalization: A Retrospective Cohort Study. Journal Of The American Medical Directors Association 2019, 20: 432-437. PMID: 30954133, PMCID: PMC6486375, DOI: 10.1016/j.jamda.2019.01.135.Peer-Reviewed Original ResearchConceptsSkilled nursing facilitiesSNF dischargeRetrospective cohort studySNF lengthHeart failureHF hospitalizationComposite outcomeCohort studyNursing facilitiesService beneficiaries 65Heart failure hospitalizationRisk of readmissionHazard rate ratiosFailure hospitalizationUnplanned readmissionHF diagnosisHospital dischargePostdischarge outcomesSNF stayMedicare patientsMedicare feeHome transitionPatientsReadmissionDay 3Association of Inferior Vena Cava Filter Use With Mortality Rates in Older Adults With Acute Pulmonary Embolism
Bikdeli B, Wang Y, Jimenez D, Ross JS, Monreal M, Goldhaber SZ, Krumholz HM. Association of Inferior Vena Cava Filter Use With Mortality Rates in Older Adults With Acute Pulmonary Embolism. JAMA Internal Medicine 2019, 179: 263-265. PMID: 30535318, PMCID: PMC6439651, DOI: 10.1001/jamainternmed.2018.5287.Peer-Reviewed Original Research
2018
Defining Multiple Chronic Conditions for Quality Measurement
Drye EE, Altaf FK, Lipska KJ, Spatz ES, Montague JA, Bao H, Parzynski CS, Ross JS, Bernheim SM, Krumholz HM, Lin Z. Defining Multiple Chronic Conditions for Quality Measurement. Medical Care 2018, 56: 193-201. PMID: 29271820, DOI: 10.1097/mlr.0000000000000853.Peer-Reviewed Original ResearchConceptsMultiple chronic conditionsChronic conditionsMedicare feeService beneficiariesMedicare Chronic Conditions WarehouseMCC cohortBroad cohortChronic Conditions WarehouseRisk-standardized ratesNational quality measuresUnplanned admissionsFinal cohortTotal admissionsAdmission riskAccountable care organizationsAdmission ratesOutcome measuresAdmissionCohortCohort conditionCare organizationsPatientsStakeholder inputNarrow cohortBeneficiariesVariation in the Diagnosis of Aspiration Pneumonia and Association with Hospital Pneumonia Outcomes
Lindenauer PK, Strait KM, Grady JN, Ngo CK, Parisi ML, Metersky M, Ross JS, Bernheim SM, Dorsey K. Variation in the Diagnosis of Aspiration Pneumonia and Association with Hospital Pneumonia Outcomes. Annals Of The American Thoracic Society 2018, 15: 562-569. PMID: 29298090, DOI: 10.1513/annalsats.201709-728oc.Peer-Reviewed Original ResearchConceptsAspiration pneumoniaHospital mortalityHospital patientsMortality rateLower risk-standardized mortality ratesRisk-standardized mortality ratesRisk-standardized ratesPatients 65 yearsHospital readmission ratesNational mortality ratesPneumonia cohortPneumonia outcomesHospital outcomesReadmission ratesHospital differencesPrincipal diagnosisOutcome measuresReadmission measuresHospital codingMedicare feePneumoniaService claimsPatientsMedian proportionMortality
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 reportingFailureLong-Term Risk for Device-Related Complications and Reoperations After Implantable Cardioverter-Defibrillator Implantation: An Observational Cohort Study.
Ranasinghe I, Parzynski CS, Freeman JV, Dreyer RP, Ross JS, Akar JG, Krumholz HM, Curtis JP. Long-Term Risk for Device-Related Complications and Reoperations After Implantable Cardioverter-Defibrillator Implantation: An Observational Cohort Study. Annals Of Internal Medicine 2016, 165: 20-29. PMID: 27135392, DOI: 10.7326/m15-2732.Peer-Reviewed Original ResearchICD-related complicationsNational Cardiovascular Data RegistryObservational cohort studyDevice-related complicationsICD implantationLong-term riskCohort studyMedicare feeNational Cardiovascular Data Registry ICD RegistryImplantable cardioverter defibrillator implantationImplantable cardioverter-defibrillator placementCardioverter-defibrillator implantationService claims dataCRT-D devicesSingle-chamber devicesCumulative incidenceNonfatal outcomesICD RegistryService patientsBlack raceFemale sexReoperationAmerican CollegeClaims dataComplicationsRisk-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
2015
Association of hospital volume with readmission rates: a retrospective cross-sectional study
Horwitz LI, Lin Z, Herrin J, Bernheim S, Drye EE, Krumholz HM, Hines HJ, Ross JS. Association of hospital volume with readmission rates: a retrospective cross-sectional study. The BMJ 2015, 350: h447. PMID: 25665806, PMCID: PMC4353286, DOI: 10.1136/bmj.h447.Peer-Reviewed Original ResearchConceptsReadmission ratesHospital volumeRetrospective cross-sectional studyUS acute care hospitalsHospital readmission ratesAcute care hospitalsCross-sectional studyMedical cancer treatmentCare hospitalAdult dischargesHospital characteristicsMedicare feeCancer treatmentHospitalAssociationDaysService dataPatientsCardiovascularGynecologyQuintileNeurologyTrajectories 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
2014
Development and use of an administrative claims measure for profiling hospital-wide performance on 30-day unplanned readmission.
Horwitz LI, Partovian C, Lin Z, Grady JN, Herrin J, Conover M, Montague J, Dillaway C, Bartczak K, Suter LG, Ross JS, Bernheim SM, Krumholz HM, Drye EE. Development and use of an administrative claims measure for profiling hospital-wide performance on 30-day unplanned readmission. Annals Of Internal Medicine 2014, 161: s66-75. PMID: 25402406, PMCID: PMC4235629, DOI: 10.7326/m13-3000.Peer-Reviewed Original ResearchConceptsUnplanned readmissionReadmission measuresReadmission ratesReadmission riskMedicare feeHospital-wide readmission measureRisk-standardized readmission ratesPayer dataAdministrative Claims MeasureRisk-standardized ratesAverage-risk patientsUnplanned readmission rateDays of dischargeHospital risk-standardized readmission ratesAdult hospitalizationsComorbid conditionsPrincipal diagnosisClaims dataService claimsService beneficiariesReadmissionMeasure development studiesMedicaid ServicesRisk adjustmentHospitalPayments for Acute Myocardial Infarction Episodes-of-Care Initiated at Hospitals With and Without Interventional Capabilities
Ben-Josef G, Ott LS, Spivack SB, Wang C, Ross JS, Shah SJ, Curtis JP, Kim N, Krumholz HM, Bernheim SM. Payments for Acute Myocardial Infarction Episodes-of-Care Initiated at Hospitals With and Without Interventional Capabilities. Circulation Cardiovascular Quality And Outcomes 2014, 7: 882-888. PMID: 25387777, DOI: 10.1161/circoutcomes.114.000927.Peer-Reviewed Original ResearchConceptsNon-PCI hospitalsCoronary artery bypass graft ratesPCI hospitalsAcute myocardial infarctionMyocardial infarctionPercutaneous coronary intervention capabilityAcute myocardial infarction admissionsLower revascularization ratesPrincipal discharge diagnosisTreatment of patientsMyocardial infarction admissionsHigh rateMyocardial infarction episodeGraft ratePCI capabilityPCI useIndex admissionRevascularization ratesClinical characteristicsPatient demographicsDays postadmissionDischarge diagnosisMedicare patientsCare proceduresMedicare fee
2013
Relationship 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