2023
Payer-Negotiated Prices for Cardiac Electrophysiology Procedures at 2022-2023 Top 100 US News & World Report for Cardiology and Heart Surgery Hospitals
Gupta K, Gupta R, Xiao R, Rathi V, Miller P, Ross J, Dhruva S. Payer-Negotiated Prices for Cardiac Electrophysiology Procedures at 2022-2023 Top 100 US News & World Report for Cardiology and Heart Surgery Hospitals. Circulation Arrhythmia And Electrophysiology 2023, 16: e012159. PMID: 37622312, DOI: 10.1161/circep.123.012159.Peer-Reviewed Original Research
2022
Hospital-Administered Cancer Therapy Prices for Patients With Private Health Insurance
Xiao R, Ross JS, Gross CP, Dusetzina SB, McWilliams JM, Sethi RKV, Rathi VK. Hospital-Administered Cancer Therapy Prices for Patients With Private Health Insurance. JAMA Internal Medicine 2022, 182: 603-611. PMID: 35435948, PMCID: PMC9016607, DOI: 10.1001/jamainternmed.2022.1022.Peer-Reviewed Original ResearchConceptsCancer CenterCancer therapyCross-sectional studyHospital acquisition costNational Cancer InstituteCross-sectional analysisPrimary outcomeSecondary outcomesPrivate health insuranceMAIN OUTCOMEClinical careCancer InstituteMedicare Part B spendingTherapyAcquisition costsPart B spendingHospitalCancer treatmentHealth insuranceFinancial burdenB spendingPatientsSame centerOutcomesPayersAccess to High-Volume Hospitals for High-Risk Cancer Surgery for Racial and Ethnic Minoritized Groups
Salazar MC, Canavan ME, Holaday LW, Billingsley KG, Ross J, Boffa DJ, Gross CP. Access to High-Volume Hospitals for High-Risk Cancer Surgery for Racial and Ethnic Minoritized Groups. JNCI Cancer Spectrum 2022, 6: pkac024. PMID: 35603855, PMCID: PMC8997114, DOI: 10.1093/jncics/pkac024.Peer-Reviewed Original ResearchConceptsHigh-risk cancer surgeryHigh-volume hospitalsCancer surgeryHispanic patientsNational Cancer DatabaseNon-Hispanic patientsNon-black patientsLung resectionBlack patientsCancer DatabaseBetter outcomesPatientsSurgeryHospitalPancreatectomyLow probabilityInequitable accessEsophagectomyProctectomyResection
2021
Identification of Hospitals That Care for a High Proportion of Patients With Social Risk Factors
Matty R, Heckmann R, George E, Barthel AB, Suter LG, Ross JS, Bernheim SM. Identification of Hospitals That Care for a High Proportion of Patients With Social Risk Factors. JAMA Health Forum 2021, 2: e211323. PMID: 35977204, PMCID: PMC8796989, DOI: 10.1001/jamahealthforum.2021.1323.Peer-Reviewed Original ResearchConceptsSocial risk factorsIdentification of hospitalsProportion of patientsRisk factorsCross-sectional studyHospital performance measuresPatient populationHospital Readmissions Reduction ProgramAfrican American raceProportion of hospitalsDisadvantaged patient populationsReadmissions Reduction ProgramHigher proportionSocioeconomic status scoresSame hospitalStatus scoreCrowded householdsMAIN OUTCOMEMedicaid coverageAmerican racePatientsHospitalHealthcare ResearchDisadvantaged populationsSuch hospitals
2020
Availability of Telemedicine Services Across Hospitals in the United States in 2018: A Cross-sectional Study
Jain S, Khera R, Lin Z, Ross JS, Krumholz HM. Availability of Telemedicine Services Across Hospitals in the United States in 2018: A Cross-sectional Study. Annals Of Internal Medicine 2020, 173: m20-1201. PMID: 32353106, PMCID: PMC7212823, DOI: 10.7326/m20-1201.Commentaries, Editorials and Letters
2017
Age Differences in Hospital Mortality for Acute Myocardial Infarction: Implications for Hospital Profiling.
Dharmarajan K, McNamara RL, Wang Y, Masoudi FA, Ross JS, Spatz EE, Desai NR, de Lemos JA, Fonarow GC, Heidenreich PA, Bhatt DL, Bernheim SM, Slattery LE, Khan YM, Curtis JP. Age Differences in Hospital Mortality for Acute Myocardial Infarction: Implications for Hospital Profiling. Annals Of Internal Medicine 2017, 167: 555-564. PMID: 28973634, PMCID: PMC9359429, DOI: 10.7326/m16-2871.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionOlder patientsYounger patientsMyocardial infarctionAge groupsHospital risk-standardized mortality ratesRetrospective cohort studyHospital mortality rankingsNational Quality ForumHospital mortalityMedian hospitalHospital outcomesCohort studyACTION RegistryAMI mortalityAmerican CollegeMedicare beneficiariesAMI hospitalizationPatientsMortality rateHospitalQuality ForumHospital ValueHospital profilingHospital-Readmission Risk — Isolating Hospital Effects from Patient Effects
Krumholz HM, Wang K, Lin Z, Dharmarajan K, Horwitz LI, Ross JS, Drye EE, Bernheim SM, Normand ST. Hospital-Readmission Risk — Isolating Hospital Effects from Patient Effects. New England Journal Of Medicine 2017, 377: 1055-1064. PMID: 28902587, PMCID: PMC5671772, DOI: 10.1056/nejmsa1702321.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesReadmission ratesObserved readmission ratesSimilar diagnosesHospital effectsDifferent hospitalsHospital readmission performanceRate of readmissionHospital readmission ratesLower readmission ratesStudy sampleYears of ageSignificant differencesMultiple admissionsReadmission outcomesOnly significant differencePatient effectsSame patientMedicare recipientsPatientsReadmission performanceRisk-standardized hospital readmission ratesHospitalHospital qualityQuartileAssociation 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 reportingFailureAccounting 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
2015
Hospital-Based Acute Care After Total Hip and Knee Arthroplasty: Implications for Quality Measurement
Trimba R, Laughlin RT, Krishnamurthy A, Ross JS, Fox JP. Hospital-Based Acute Care After Total Hip and Knee Arthroplasty: Implications for Quality Measurement. The Journal Of Arthroplasty 2015, 31: 573-578.e2. PMID: 26689614, DOI: 10.1016/j.arth.2015.10.019.Peer-Reviewed Original ResearchMeSH KeywordsAgedArthroplasty, Replacement, HipArthroplasty, Replacement, KneeDatabases, FactualEmergency Service, HospitalFemaleHumansMaleMiddle AgedOutcome Assessment, Health CarePatient DischargePatient ReadmissionQuality Assurance, Health CareQuality of Health CareRetrospective StudiesSubacute CareConceptsED visitsReadmission ratesTotal hipPostdischarge experiencesHospital-based acute carePostdischarge health care utilizationHospital emergency department (ED) visitsAcute care measuresEmergency department visitsED visit ratesHospital readmission ratesHealth care utilizationDepartment visitsHospital readmissionCare utilizationAcute careKnee arthroplastyCare measuresVisit ratesVisitsReadmissionArthroplastyHospitalHipCarePredictors and outcomes of unplanned readmission to a different hospital
Kim H, Hung WW, Paik MC, Ross JS, Zhao Z, Kim GS, Boockvar K. Predictors and outcomes of unplanned readmission to a different hospital. International Journal For Quality In Health Care 2015, 27: 513-519. PMID: 26472739, PMCID: PMC4665363, DOI: 10.1093/intqhc/mzv082.Peer-Reviewed Original ResearchConceptsDifferent-hospital readmissionsReadmission groupAcute care hospitalsDifferent hospitalsUnplanned readmissionCare hospitalSame hospitalThirty-day unplanned readmissionsPercent of patientsSame-hospital readmissionsBetter care coordinationHospital deathIndex dischargeIndex hospitalCare coordinationHospital costsReadmissionHigher oddsMAIN OUTCOMEPatientsHealth outcomesCost outcomesHospitalSecondary analysisOutcomesPhysician and other healthcare personnel responses to hospital stroke quality of care performance feedback: a qualitative study
Ross JS, Williams L, Damush TM, Matthias M. Physician and other healthcare personnel responses to hospital stroke quality of care performance feedback: a qualitative study. BMJ Quality & Safety 2015, 25: 441. PMID: 26253122, DOI: 10.1136/bmjqs-2015-004197.Peer-Reviewed Original ResearchConceptsStroke qualityVHA hospitalsCare measuresHealthcare personnelVeterans Health Administration hospitalsStroke care processesPublic reportingQuality improvement effortsAdministration HospitalCare processesHospitalPhysiciansRelevant physiciansHospital administratorsYears of experienceHospital performanceCliniciansNursesQualitative studyInterview transcriptsPersonnel responsesImprovement effortsIdentified areasFeedback initiativeQualitative interviewsAssociation 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 dataPatientsCardiovascularGynecologyQuintileNeurology
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 adjustmentHospitalHospital variation in risk-standardized hospital admission rates from US EDs among adults
Capp R, Ross JS, Fox JP, Wang Y, Desai MM, Venkatesh AK, Krumholz HM. Hospital variation in risk-standardized hospital admission rates from US EDs among adults. The American Journal Of Emergency Medicine 2014, 32: 837-843. PMID: 24881514, DOI: 10.1016/j.ajem.2014.03.033.Peer-Reviewed Original ResearchConceptsHospital admission ratesEmergency departmentAdmission ratesClinical characteristicsED visitsHospital factorsClinical factorsAdult ED visitsUS emergency departmentsHospital teaching statusCross-sectional analysisPatient characteristicsHospital admissionHospital variationPatientsTeaching statusHospitalED dataVisitsRepresentative sampleAdultsRural locationsAdmissionFactorsNational variations
2013
For-profit hospital ownership status and use of brachytherapy after breast-conserving surgery
Sen S, Soulos PR, Herrin J, Roberts KB, Yu JB, Lesnikoski BA, Ross JS, Krumholz HM, Gross CP. For-profit hospital ownership status and use of brachytherapy after breast-conserving surgery. Surgery 2013, 155: 776-788. PMID: 24787104, PMCID: PMC4008843, DOI: 10.1016/j.surg.2013.12.009.Peer-Reviewed Original ResearchConceptsHospital ownership statusBreast-conserving operationsBreast-conserving surgeryUse of brachytherapyRadiation therapyOperative careBreast cancerMedicare beneficiariesOverall useReceipt of brachytherapyAdjuvant radiation therapyInvasive breast cancerFemale Medicare beneficiariesGreater overall useYears of ageShort life expectancyRetrospective studyRT modalityProfit hospitalsExpensive modalityOlder womenBrachytherapy useBreast brachytherapyHospitalBrachytherapyRelationship 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 relationship
2012
Discharge disposition disagreements and re-admission risk among older adults: a retrospective cohort study
Dinescu A, Korc-Grodzicki B, Farber J, Ross JS. Discharge disposition disagreements and re-admission risk among older adults: a retrospective cohort study. BMJ Open 2012, 2: e001646. PMID: 23117568, PMCID: PMC3547317, DOI: 10.1136/bmjopen-2012-001646.Peer-Reviewed Original ResearchRetrospective cohort studyHospital dischargeOlder patientsDischarge dispositionClinical teamCohort studyDaily livingInpatient servicesRe-admission riskRe-admission ratesLarge academic medical centerAcademic medical centerAdjusted analysisMean ageMedical CenterPatientsCognitive impairmentHospitalisationMain independent variableOlder adultsTeam recommendationsDaysDischargeHospitalDisposition