2024
Incorporating Medicare Advantage Admissions Into the CMS Hospital-Wide Readmission Measure
Kyanko K, Sahay K, Wang Y, Li S, Schreiber M, Hager M, Myers R, Johnson W, Zhang J, Krumholz H, Suter L, Triche E. Incorporating Medicare Advantage Admissions Into the CMS Hospital-Wide Readmission Measure. JAMA Network Open 2024, 7: e2414431. PMID: 38829614, PMCID: PMC11148674, DOI: 10.1001/jamanetworkopen.2024.14431.Peer-Reviewed Original ResearchConceptsCenters for Medicare & Medicaid ServicesSpecialty subgroupsPerformance quintileMedicare AdvantageReadmission ratesRisk-standardized readmission ratesHospital-wide readmission measureHospital outcome measuresTest-retest reliabilityRisk-adjustment variablesMeasurement reliabilityAdministrative claims dataReadmission measuresImprove measurement reliabilityIntegrated data repositoryMA beneficiariesQuintile rankingsMedicare beneficiariesMedicaid ServicesAll-causePublic reportingStudy assessed differencesClaims dataOutcome measuresMA cohortAssociation of marital/partner status with hospital readmission among young adults with acute myocardial infarction.
Zhu C, Dreyer R, Li F, Spatz E, Caraballo C, Mahajan S, Raparelli V, Leifheit E, Lu Y, Krumholz H, Spertus J, D'Onofrio G, Pilote L, Lichtman J. Association of marital/partner status with hospital readmission among young adults with acute myocardial infarction. PLOS ONE 2024, 19: e0287949. PMID: 38277368, PMCID: PMC10817183, DOI: 10.1371/journal.pone.0287949.Peer-Reviewed Original ResearchMeSH KeywordsFemaleHeartHumansMaleMiddle AgedMyocardial InfarctionPatient ReadmissionRisk FactorsSocioeconomic FactorsYoung AdultConceptsMarital/partner statusPsychosocial factorsAcute myocardial infarctionYoung adultsHospital dischargeYear of hospital dischargeYoung acute myocardial infarctionAssociated with 1.3-foldCohort of young adultsLong-term readmissionCox proportional hazards modelsStatus interactionSimilar-aged menMyocardial infarctionProportional hazards modelUnpartnered statusPatient interviewsPhysician panelCardiovascular healthHospital readmissionSocioeconomic factorsAMI survivorsSequential adjustmentCardiac readmissionMultiple imputation
2023
Relationship Between In-Hospital Adverse Events and Hospital Performance on 30-Day All-cause Mortality and Readmission for Patients With Heart Failure
Wang Y, Eldridge N, Metersky M, Rodrick D, Eckenrode S, Mathew J, Galusha D, Peterson A, Hunt D, Normand S, Krumholz H. Relationship Between In-Hospital Adverse Events and Hospital Performance on 30-Day All-cause Mortality and Readmission for Patients With Heart Failure. Circulation Cardiovascular Quality And Outcomes 2023, 16: e009573. PMID: 37463255, PMCID: PMC10351904, DOI: 10.1161/circoutcomes.122.009573.Peer-Reviewed Original ResearchMeSH KeywordsAgedCross-Sectional StudiesHeart FailureHospital MortalityHospitalsHumansMedicarePatient ReadmissionUnited StatesConceptsMore adverse eventsAdverse eventsHeart failureCause mortalityReadmission ratesHigh riskMedicare Patient Safety Monitoring SystemHospital-acquired adverse eventsIn-Hospital Adverse EventsHospital adverse eventsRate of patientsPatient Safety DatabasePerformance categoriesAdverse event dataCross-sectional studyUnited States CentersHospital performanceHospital characteristicsReadmission dataPatient riskMAIN OUTCOMEPatientsWorst hospitalsHospitalHigh mortality
2022
Analysis of Hospital-Level Readmission Rates and Variation in Adverse Events Among Patients With Pneumonia in the United States
Wang Y, Eldridge N, Metersky ML, Rodrick D, Faniel C, Eckenrode S, Mathew J, Galusha DH, Tasimi A, Ho SY, Jaser L, Peterson A, Normand ST, Krumholz HM. Analysis of Hospital-Level Readmission Rates and Variation in Adverse Events Among Patients With Pneumonia in the United States. JAMA Network Open 2022, 5: e2214586. PMID: 35639379, PMCID: PMC9157270, DOI: 10.1001/jamanetworkopen.2022.14586.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCross-Sectional StudiesFemaleHospitalsHumansMaleMedicarePatient ReadmissionPneumoniaUnited StatesConceptsRisk-standardized readmission ratesMedicare Patient Safety Monitoring SystemCause readmission rateAdverse eventsReadmission ratesHigh riskHospital-level readmission ratesHigher patient riskHospital adverse eventsAdverse event dataCross-sectional studyHospital performanceIndex hospitalizationMedian ageHospital characteristicsMedical recordsReadmission dataPatient riskHospital careMAIN OUTCOMEPneumoniaHospital levelPatientsReadmissionGreater risk
2021
Incorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models
Triche EW, Xin X, Stackland S, Purvis D, Harris A, Yu H, Grady JN, Li SX, Bernheim SM, Krumholz HM, Poyer J, Dorsey K. Incorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models. JAMA Network Open 2021, 4: e218512. PMID: 33978722, PMCID: PMC8116982, DOI: 10.1001/jamanetworkopen.2021.8512.Peer-Reviewed Original ResearchConceptsPOA indicatorRisk factorsOutcome measuresQuality outcome measuresRisk-adjustment modelsClaims dataAdmission indicatorsPatient risk factorsAcute myocardial infarctionPatient-level outcomesAdministrative claims dataQuality improvement studyClaims-based measuresComparative effectiveness studiesPatient claims dataInternational Statistical ClassificationMortality outcome measuresRelated Health ProblemsHospital quality measuresRisk model performanceHospital stayIndex admissionCare algorithmHeart failureMortality outcomesAdministrative Claims Measure for Profiling Hospital Performance Based on 90-Day All-Cause Mortality Following Coronary Artery Bypass Graft Surgery
Mori M, Nasir K, Bao H, Jimenez A, Legore SS, Wang Y, Grady J, Lama SD, Brandi N, Lin Z, Kurlansky P, Geirsson A, Bernheim SM, Krumholz HM, Suter LG. Administrative Claims Measure for Profiling Hospital Performance Based on 90-Day All-Cause Mortality Following Coronary Artery Bypass Graft Surgery. Circulation Cardiovascular Quality And Outcomes 2021, 14: e006644. PMID: 33535776, DOI: 10.1161/circoutcomes.120.006644.Peer-Reviewed Original ResearchMeSH KeywordsAgedCoronary Artery BypassHospital MortalityHospitalsHumansMedicarePatient ReadmissionUnited StatesConceptsRisk-standardized mortality ratesCoronary artery bypass graft surgeryArtery bypass graft surgeryBypass graft surgeryMortality rateGraft surgeryC-statisticMedicaid ServicesAdministrative Claims MeasureCause mortality ratesMortality measuresUnadjusted mortality ratesProfiling Hospital PerformanceHierarchical logistic regression modelsAlternate payment modelsHospital performanceLogistic regression modelsCABG recoveryPayment modelsCABG surgeryCause mortalityCABG proceduresDays postsurgeryHospital levelSurgery180-day readmission risk model for older adults with acute myocardial infarction: the SILVER-AMI study
Dodson JA, Hajduk AM, Murphy TE, Geda M, Krumholz HM, Tsang S, Nanna MG, Tinetti ME, Ouellet G, Sybrant D, Gill TM, Chaudhry SI. 180-day readmission risk model for older adults with acute myocardial infarction: the SILVER-AMI study. Open Heart 2021, 8: e001442. PMID: 33452007, PMCID: PMC7813425, DOI: 10.1136/openhrt-2020-001442.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionReadmission risk modelSelf-reported health statusMyocardial infarctionFunctional mobilityOlder adultsHealth statusDays of AMIFirst diastolic blood pressureChronic obstructive pulmonary diseaseIschemic ECG changesProspective cohort studyDiastolic blood pressureObstructive pulmonary diseaseLength of stayInitial heart rateFinal risk modelSILVER-AMI StudyRisk modelInitial hemoglobinCohort studyReadmission ratesBlood pressureEjection fractionHeart failure
2020
Associations Between the Severity of Influenza Seasons and Mortality and Readmission Risks After Elective Surgical Aortic Valve Replacement and Coronary Artery Bypass Graft Surgery in Older Adults
Mori M, Wang Y, Mahajan S, Geirsson A, Krumholz HM. Associations Between the Severity of Influenza Seasons and Mortality and Readmission Risks After Elective Surgical Aortic Valve Replacement and Coronary Artery Bypass Graft Surgery in Older Adults. JAMA Network Open 2020, 3: e2031078. PMID: 33355673, PMCID: PMC7758803, DOI: 10.1001/jamanetworkopen.2020.31078.Peer-Reviewed Original ResearchConceptsSurgical aortic valve replacementElective surgical aortic valve replacementAortic valve replacementValve replacementReadmission riskCoronary artery bypass graft surgeryArtery bypass graft surgeryOlder adultsBypass graft surgeryCoronary artery bypassCross-sectional studyArtery bypassGraft surgeryInfluenza seasonMedicaid ServicesMortalitySeverityAdultsRiskAssociationSurgeryBypassFrequency, trends and institutional variation in 30‐day all‐cause mortality and unplanned readmissions following hospitalisation for heart failure in Australia and New Zealand
Labrosciano C, Horton D, Air T, Tavella R, Beltrame JF, Zeitz CJ, Krumholz HM, Adams R, Scott IA, Gallagher M, Hossain S, Hariharaputhiran S, Ranasinghe I. Frequency, trends and institutional variation in 30‐day all‐cause mortality and unplanned readmissions following hospitalisation for heart failure in Australia and New Zealand. European Journal Of Heart Failure 2020, 23: 31-40. PMID: 33094886, DOI: 10.1002/ejhf.2030.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAustraliaFemaleHeart FailureHospitalizationHumansMaleNew ZealandPatient ReadmissionConceptsHF hospitalisationUnplanned readmissionReadmission ratesHeart failure hospitalisationUnplanned readmission rateMortality cohortReadmission cohortCause mortalityHeart failurePrimary outcomeHospitalisationReadmissionSeparate cohortMortality rateHospitalPatientsMortalityCare qualityPrivate hospitalsStudy periodCohortModest declineNational averageOutcomesDaysTimely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data
Li SX, Wang Y, Lama SD, Schwartz J, Herrin J, Mei H, Lin Z, Bernheim SM, Spivack S, Krumholz HM, Suter LG. Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data. BMC Health Services Research 2020, 20: 733. PMID: 32778098, PMCID: PMC7416804, DOI: 10.1186/s12913-020-05611-w.Peer-Reviewed Original ResearchAssociation Between Subsequent Hospitalizations and Recurrent Acute Myocardial Infarction Within 1 Year After Acute Myocardial Infarction
Wang Y, Leifheit E, Normand S, Krumholz HM. Association Between Subsequent Hospitalizations and Recurrent Acute Myocardial Infarction Within 1 Year After Acute Myocardial Infarction. Journal Of The American Heart Association 2020, 9: e014907. PMID: 32172654, PMCID: PMC7335517, DOI: 10.1161/jaha.119.014907.Peer-Reviewed Original ResearchConceptsRecurrent acute myocardial infarctionAcute myocardial infarctionIndex acute myocardial infarctionClinical Classification SoftwareMyocardial infarctionDisease categoriesRisk of deathCox regression modelPost-acute careAcute care hospitalsOccurrence of hospitalizationLow recurrence riskUnplanned rehospitalizationSubsequent hospitalizationBackground PatientsHazard ratioPatient characteristicsSecondary preventionMedian timeService patientsChronic diseasesPatient riskOutcome measuresRehospitalizationHigh riskReadmission and Mortality After Hospitalization for Myocardial Infarction and Heart Failure
Ko DT, Khera R, Lau G, Qiu F, Wang Y, Austin PC, Koh M, Lin Z, Lee DS, Wijeysundera HC, Krumholz HM. Readmission and Mortality After Hospitalization for Myocardial Infarction and Heart Failure. Journal Of The American College Of Cardiology 2020, 75: 736-746. PMID: 32081282, DOI: 10.1016/j.jacc.2019.12.026.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overFemaleHeart FailureHumansMaleMyocardial InfarctionOntarioPatient ReadmissionRetrospective StudiesConceptsAcute myocardial infarctionPost-discharge mortalityHospital mortalityReadmission ratesHospitalization ratesMyocardial infarctionMortality rateRisk-adjusted mortality ratesHospital Readmissions Reduction ProgramHF hospitalization ratesHeart failure hospitalizationPatients 65 yearsReadmissions Reduction ProgramFailure hospitalizationHF patientsSecondary outcomesHospital readmissionPrimary outcomeReadmissionMortalityAMI hospitalization ratesStudy periodPattern of outcomesHospitalizationOutcomesPost-discharge acute care and outcomes following readmission reduction initiatives: national retrospective cohort study of Medicare beneficiaries in the United States
Khera R, Wang Y, Bernheim SM, Lin Z, Krumholz HM. Post-discharge acute care and outcomes following readmission reduction initiatives: national retrospective cohort study of Medicare beneficiaries in the United States. The BMJ 2020, 368: l6831. PMID: 31941686, PMCID: PMC7190056, DOI: 10.1136/bmj.l6831.Peer-Reviewed Original ResearchConceptsAcute care utilizationAcute myocardial infarctionRetrospective cohort studyHeart failureCare utilizationPost-discharge periodEmergency departmentMyocardial infarctionDay mortalityCohort studyHospital admissionObservation unitAcute careNational retrospective cohort studyPost-acute care utilizationHospital Readmissions Reduction ProgramObservation unit carePost-discharge mortalityDay readmission rateRisk of deathReadmissions Reduction ProgramReadmission reduction initiativesReadmission ratesUnit careInpatient unit
2019
Patient-Reported Quality of Hospital Discharge Transitions: Results from the SILVER-AMI Study
Richards BG, Hajduk AM, Perry J, Krumholz HM, Khan AM, Chaudhry SI. Patient-Reported Quality of Hospital Discharge Transitions: Results from the SILVER-AMI Study. Journal Of General Internal Medicine 2019, 35: 808-814. PMID: 31654359, PMCID: PMC7080904, DOI: 10.1007/s11606-019-05414-8.Peer-Reviewed Original ResearchConceptsDays of dischargeEmergency department utilizationAcute myocardial infarctionPatient-reported qualityHospital discharge processOlder patientsAcute Myocardial Infarction StudyMyocardial Infarction StudyProspective cohort studyMedical record reviewEmergency room utilizationAdults age 75Key ResultsA totalHospital Consumer AssessmentSILVER-AMI StudyHospital discharge transitionsHigh-risk periodDesignMulti-centerCohort studyHospital dischargeMedian ageClinical outcomesRecord reviewAdverse outcomesResultsA totalPulmonary Embolism Hospitalization, Readmission, and Mortality Rates in US Older Adults, 1999-2015
Bikdeli B, Wang Y, Jimenez D, Parikh SA, Monreal M, Goldhaber SZ, Krumholz HM. Pulmonary Embolism Hospitalization, Readmission, and Mortality Rates in US Older Adults, 1999-2015. JAMA 2019, 322: 574-576. PMID: 31408124, PMCID: PMC6692667, DOI: 10.1001/jama.2019.8594.Peer-Reviewed Original ResearchMeSH KeywordsAgedFemaleHospitalizationHumansLength of StayMaleModels, StatisticalPatient ReadmissionPulmonary EmbolismUnited StatesDevelopment 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 OUTCOMEEvaluation of 30-Day Hospital Readmission and Mortality Rates Using Regression-Discontinuity Framework
Khera R, Wang Y, Nasir K, Lin Z, Krumholz HM. Evaluation of 30-Day Hospital Readmission and Mortality Rates Using Regression-Discontinuity Framework. Journal Of The American College Of Cardiology 2019, 74: 219-234. PMID: 31296295, PMCID: PMC8669780, DOI: 10.1016/j.jacc.2019.04.060.Peer-Reviewed Original ResearchMeSH KeywordsHeart FailureHumansMyocardial InfarctionPatient ReadmissionPneumoniaRegression AnalysisConceptsAcute myocardial infarctionHospital Readmissions Reduction ProgramHeart failureReadmission ratesElderly Medicare feeMedian readmission rateReadmissions Reduction ProgramPost-discharge daysInstitution of strategiesHospital readmissionReadmission riskMyocardial infarctionReadmission reductionCardiovascular conditionsEligible hospitalsMedicare feeReadmission penaltiesMortality rateDay 1Day 30ReadmissionDay 60HospitalU.S. hospitalsHospitalizationThirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction
Dodson JA, Hajduk AM, Murphy TE, Geda M, Krumholz HM, Tsang S, Nanna MG, Tinetti ME, Goldstein D, Forman DE, Alexander KP, Gill TM, Chaudhry SI. Thirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005320. PMID: 31010300, PMCID: PMC6481309, DOI: 10.1161/circoutcomes.118.005320.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overFemaleGeriatric AssessmentHealth Status IndicatorsHumansMaleMyocardial InfarctionPatient AdmissionPatient ReadmissionPredictive Value of TestsProspective StudiesReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsAcute myocardial infarctionReadmission risk modelFinal risk modelFunctional mobilityFunctional impairmentMyocardial infarctionOlder adultsFirst diastolic blood pressureChronic obstructive pulmonary diseaseAge-related functional impairmentsP2Y12 inhibitor useAcute kidney injuryDaily living (ADL) disabilityPatient-level factorsProspective cohort studyDiastolic blood pressureObstructive pulmonary diseasePatients of ageGeneral health statusStrongest predictorRisk modelMore comorbiditiesCause readmissionKidney injuryCohort studyThirty-Day Hospital Readmission After Acute Myocardial Infarction in China
Li J, Dharmarajan K, Bai X, Masoudi FA, Spertus JA, Li X, Zheng X, Zhang H, Yan X, Dreyer RP, Krumholz HM, Group F. Thirty-Day Hospital Readmission After Acute Myocardial Infarction in China. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005628. PMID: 31092023, DOI: 10.1161/circoutcomes.119.005628.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionUnplanned cardiovascular readmissionsDays of dischargeMyocardial infarctionCardiovascular readmissionCause readmissionMost readmissionsLower riskFit Cox proportional hazards modelsST-segment elevation myocardial infarctionAcute Coronary Events (GRACE) scoreThirty-day hospital readmissionsDisease-specific health statusCox proportional hazards modelVentricular ejection fractionProportional hazards modelLow social supportBackground ReadmissionRecurrent anginaCardiovascular eventsHospital complicationsUnplanned readmissionIndex hospitalizationClinical factorsConsecutive patientsAssociation of in-hospital resource utilization with post-acute spending in Medicare beneficiaries hospitalized for acute myocardial infarction: a cross-sectional study
Nuti SV, Li SX, Xu X, Ott LS, Lagu T, Desai NR, Murugiah K, Duan M, Martin J, Kim N, Krumholz HM. Association of in-hospital resource utilization with post-acute spending in Medicare beneficiaries hospitalized for acute myocardial infarction: a cross-sectional study. BMC Health Services Research 2019, 19: 190. PMID: 30909904, PMCID: PMC6432744, DOI: 10.1186/s12913-019-4018-0.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionPost-acute care costsPost-acute care utilizationOverall episode costsPremier Healthcare DatabaseHospital resource utilizationStudy of patientsCross-sectional studyGreater resource utilizationPost-acute periodHigh cost tertilesHigh-cost hospitalsHospital meanResultsAmong patientsReadmission ratesCare utilizationHospitalization costsEpisode costsMedicare feeTertileMedicare beneficiariesMortality rateHealthcare databasesService beneficiaries