2021
Unplanned hospital visits after ambulatory surgical care
Bongiovanni T, Parzynski C, Ranasinghe I, Steinman MA, Ross JS. Unplanned hospital visits after ambulatory surgical care. PLOS ONE 2021, 16: e0254039. PMID: 34283840, PMCID: PMC8291649, DOI: 10.1371/journal.pone.0254039.Peer-Reviewed Original ResearchConceptsUnplanned hospital visitsSame-day surgeryHospital visitsAmbulatory surgeryHealthcare costsDischarge care qualityHospital visit ratesNumber of comorbiditiesEmergency department visitsMajority of surgeriesAmbulatory surgical careSpecific patient populationsQuality's Healthcare CostMedicaid Services measuresPatient hospital visitsQuality of careType of procedureDepartment visitsHospital admissionPatient characteristicsOutpatient settingPatient populationProcedure typeSurgical careSurgical facilities
2020
Impact 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 ResearchMeSH KeywordsAgedDatabases, FactualFemaleHeart FailureHeart TransplantationHeart-Assist DevicesHumansMaleMyocardial InfarctionPatient ReadmissionRiskConceptsLeft 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
Home Health Care After Skilled Nursing Facility Discharge Following Heart Failure Hospitalization
Weerahandi H, Bao H, Herrin J, Dharmarajan K, Ross JS, Jones S, Horwitz LI. Home Health Care After Skilled Nursing Facility Discharge Following Heart Failure Hospitalization. Journal Of The American Geriatrics Society 2019, 68: 96-102. PMID: 31603248, PMCID: PMC6964248, DOI: 10.1111/jgs.16179.Peer-Reviewed Original ResearchConceptsSkilled nursing facilitiesHF hospitalizationReadmission ratesReadmission riskHeart failure readmission ratesDays of dischargeHeart failure hospitalizationRetrospective cohort studyHospital discharge practicesMore functional impairmentHome health careFailure hospitalizationHF patientsUnplanned readmissionCohort studyHospital dischargePrimary outcomeRestorative therapySNF stayFunctional impairmentHome healthcare servicesService Medicare dataAdjusted modelCox modelNursing facilitiesRisk 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 3
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
Hospital-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 ResearchMeSH KeywordsAgedHospitalsHumansOutcome Assessment, Health CarePatient ReadmissionQuality Indicators, Health CareRisk AdjustmentUnited StatesConceptsRisk-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 ActTrends in readmission rates for safety net hospitals and non-safety net hospitals in the era of the US Hospital Readmission Reduction Program: a retrospective time series analysis using Medicare administrative claims data from 2008 to 2015
Salerno AM, Horwitz LI, Kwon JY, Herrin J, Grady JN, Lin Z, Ross JS, Bernheim SM. Trends in readmission rates for safety net hospitals and non-safety net hospitals in the era of the US Hospital Readmission Reduction Program: a retrospective time series analysis using Medicare administrative claims data from 2008 to 2015. BMJ Open 2017, 7: e016149. PMID: 28710221, PMCID: PMC5541519, DOI: 10.1136/bmjopen-2017-016149.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramNon-safety net hospitalsSafety-net hospitalMedicare administrative claims dataReadmission ratesAdministrative claims dataNet hospitalReadmissions Reduction ProgramRetrospective time series analysisSafety netClaims dataTime series analysisSocioeconomic statusUnplanned readmission ratePrincipal discharge diagnosisLow socioeconomic statusInterrupted time seriesReduction programsFive-digit zip codeSeries analysisHRRP penaltiesIndex admissionHospital proportionDischarge diagnosisService patientsHospital 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
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 ResearchMeSH KeywordsCross-Sectional StudiesHeart FailureHospitalizationHospitalsHumansLength of StayMyocardial InfarctionPatient ReadmissionPneumoniaWatchful WaitingConceptsRisk-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 proportionPercentAdjustmentProportionDeclining Admission Rates And Thirty-Day Readmission Rates Positively Associated Even Though Patients Grew Sicker Over Time
Dharmarajan K, Qin L, Lin Z, Horwitz LI, Ross JS, Drye EE, Keshawarz A, Altaf F, Normand SL, Krumholz HM, Bernheim SM. Declining Admission Rates And Thirty-Day Readmission Rates Positively Associated Even Though Patients Grew Sicker Over Time. Health Affairs 2016, 35: 1294-1302. PMID: 27385247, DOI: 10.1377/hlthaff.2015.1614.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCenters for Medicare and Medicaid Services, U.S.Chronic DiseaseDatabases, FactualDisease ProgressionFemaleGeriatric AssessmentHospital MortalityHumansIncidenceLength of StayMaleOutcome Assessment, Health CarePatient AdmissionPatient ReadmissionRetrospective StudiesRisk AssessmentSeverity of Illness IndexTime FactorsUnited StatesAssociation 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
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 analysisOutcomesDevelopment and Validation of an Algorithm to Identify Planned Readmissions From Claims Data
Horwitz LI, Grady JN, Cohen DB, Lin Z, Volpe M, Ngo CK, Masica AL, Long T, Wang J, Keenan M, Montague J, Suter LG, Ross JS, Drye EE, Krumholz HM, Bernheim SM. Development and Validation of an Algorithm to Identify Planned Readmissions From Claims Data. Journal Of Hospital Medicine 2015, 10: 670-677. PMID: 26149225, PMCID: PMC5459369, DOI: 10.1002/jhm.2416.Peer-Reviewed Original ResearchConceptsSame-hospital readmissionsNegative predictive valuePositive predictive valuePredictive valueReadmission measuresHospital-wide readmission measureGold standard chart reviewAdministrative claims-based algorithmDiagnostic cardiac catheterizationClaims-based algorithmLarge teaching centersAcute care hospitalsSmall community hospitalUnplanned readmissionChart reviewCardiac catheterizationScheduled careSpecificity 96.5Community hospitalReadmissionClaims dataCardiac devicesHealth systemTeaching centerPublic reportingAssociation 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 ResearchMeSH KeywordsAgedCross-Sectional StudiesHospitals, High-VolumeHospitals, Low-VolumeHumansPatient ReadmissionRetrospective StudiesConceptsReadmission 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 adjustmentHospital