2023
Variation in Risk‐Standardized Acute Admission Rates Among Patients With Heart Failure in Accountable Care Organizations: Implications for Quality Measurement
Chuzi S, Lindenauer P, Faridi K, Priya A, Pekow P, D'Aunno T, Mazor K, Stefan M, Spatz E, Gilstrap L, Werner R, Lagu T. Variation in Risk‐Standardized Acute Admission Rates Among Patients With Heart Failure in Accountable Care Organizations: Implications for Quality Measurement. Journal Of The American Heart Association 2023, 12: e029758. PMID: 37345796, PMCID: PMC10356066, DOI: 10.1161/jaha.122.029758.Peer-Reviewed Original ResearchConceptsAcute admission ratesHeart failureMedicare Shared Savings Program Accountable Care OrganizationsAccountable care organizationsAdmission ratesMost ACOsPrimary care providersPerformance categoriesCare organizationsACO characteristicsHealth care qualityAdmission riskBlack beneficiariesCare providersMedicare feeService beneficiariesConclusions AdmissionCare qualityPatientsAdmissionHospital affiliationACO structureFuture studiesLower proportionFailure
2018
Association of the Overall Well-being of a Population With Health Care Spending for People 65 Years of Age or Older
Riley C, Roy B, Herrin J, Spatz ES, Arora A, Kell KP, Rula EY, Krumholz HM. Association of the Overall Well-being of a Population With Health Care Spending for People 65 Years of Age or Older. JAMA Network Open 2018, 1: e182136. PMID: 30646154, PMCID: PMC6324481, DOI: 10.1001/jamanetworkopen.2018.2136.Peer-Reviewed Original ResearchConceptsMedicare FFS beneficiariesPeople 65 yearsHealth care spendingFFS beneficiariesCare spendingPopulation-based cross-sectional studyLower health care spendingHealth care system capacityCross-sectional studyHealth care systemPopulation levelPayment modelsCare payment modelsHighest quintileInverse associationStudy interventionMAIN OUTCOMEMedicare feeMedicare beneficiariesUS national studyOverall healthMedian household incomeBeing IndexCare systemDemographic characteristicsDefining 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 cohortBeneficiaries
2017
Identification of Emergency Department Visits in Medicare Administrative Claims: Approaches and Implications
Venkatesh AK, Mei H, Kocher KE, Granovsky M, Obermeyer Z, Spatz E, Rothenberg C, Krumholz H, Lin Z. Identification of Emergency Department Visits in Medicare Administrative Claims: Approaches and Implications. Academic Emergency Medicine 2017, 24: 422-431. PMID: 27864915, PMCID: PMC5905698, DOI: 10.1111/acem.13140.Peer-Reviewed Original ResearchConceptsED visitsEmergency department visitsClaims-based definitionED visitationAdministrative claimsDepartment visitsClaims dataAdministrative claims data setsHealthcare resource utilizationMore ED visitsAcute care practiceAdministrative claims dataQuality improvement interventionsEmergency care researchMedicare administrative claimsClaims data setsED useCritical careED servicesMedicare feeMedicare dataCare practicesService beneficiariesImprovement interventionsProvider definitions
2016
Risk-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
Trends in Short- and Long-Term Outcomes for Takotsubo Cardiomyopathy Among Medicare Fee-for-Service Beneficiaries, 2007 to 2012
Murugiah K, Wang Y, Desai NR, Spatz ES, Nuti SV, Dreyer RP, Krumholz HM. Trends in Short- and Long-Term Outcomes for Takotsubo Cardiomyopathy Among Medicare Fee-for-Service Beneficiaries, 2007 to 2012. JACC Heart Failure 2015, 4: 197-205. PMID: 26746377, PMCID: PMC5323042, DOI: 10.1016/j.jchf.2015.09.013.Peer-Reviewed Original ResearchConceptsLong-term outcomesReadmission ratesNonwhite patientsHospitalization ratesSecondary diagnosisMedicare feeYears of ageTakotsubo cardiomyopathyWorse outcomesWhite racePatientsService beneficiariesHospitalMortalityTime pointsOutcomesHospitalizationCohortDiagnosisRepresentative dataTakotsuboTTCReadmissionCardiomyopathyYearsNational Trends in Hospital Readmission Rates among Medicare Fee-for-Service Survivors of Mitral Valve Surgery, 1999–2010
Dodson JA, Wang Y, Murugiah K, Dharmarajan K, Cooper Z, Hashim S, Nuti SV, Spatz E, Desai N, Krumholz HM. National Trends in Hospital Readmission Rates among Medicare Fee-for-Service Survivors of Mitral Valve Surgery, 1999–2010. PLOS ONE 2015, 10: e0132470. PMID: 26147225, PMCID: PMC4493110, DOI: 10.1371/journal.pone.0132470.Peer-Reviewed Original ResearchConceptsMitral valve surgeryLength of stayHospital LOSReadmission ratesHospital readmission ratesOlder patientsHospital readmissionMedicare feeMean hospital LOSSurvival rateProportional hazards regressionYears of ageValve surgeryHazards regressionService patientsWorse outcomesAge subgroupsPatientsOlder adultsSurvivorsNational trendsReadmissionModest declineWomenSubgroups