Assessing the accuracy of race‐and‐ethnicity data in the Outcome and Assessment Information Set
Martino S, Elliott M, Haas A, Peltz A, Saliba D, Hassan S, Rothenberg E, Keshawarz A, Rushkin M, Gildner J, Orr N, Hager M, Myers R, Kiser R, Bernheim S. Assessing the accuracy of race‐and‐ethnicity data in the Outcome and Assessment Information Set. Journal Of The American Geriatrics Society 2024, 72: 2508-2515. PMID: 38511724, DOI: 10.1111/jgs.18889.Peer-Reviewed Original ResearchCenters for Medicare & Medicaid ServicesRace-and-ethnicityConsumer Assessment of Healthcare Providers and SystemsCenters for Medicare & Medicaid Services administrative dataAssessment of Healthcare Providers and SystemsMedicare Consumer Assessment of Healthcare ProvidersConsumer Assessment of Healthcare ProvidersHealthcare Providers and SystemsAdministrative dataHealth record dataHome health agenciesOASIS dataSelf-reported informationSelf-reported dataRecord-level dataHealthcare providersConsumer AssessmentAssess disparitiesMedicaid ServicesHealth agenciesOlder AmericansData SystemPatient assessmentSelf-reportMedicare coverageMeasuring Equity in Readmission as a Distinct Assessment of Hospital Performance
Nash K, Weerahandi H, Yu H, Venkatesh A, Holaday L, Herrin J, Lin Z, Horwitz L, Ross J, Bernheim S. Measuring Equity in Readmission as a Distinct Assessment of Hospital Performance. JAMA 2024, 331: 111-123. PMID: 38193960, PMCID: PMC10777266, DOI: 10.1001/jama.2023.24874.Peer-Reviewed Original ResearchConceptsBlack patientsPatient populationHospital characteristicsHospital-wide readmission measureDual-eligible patientsHospital patient populationCross-sectional studyMeasures of hospitalHealth care qualityPatient demographicsReadmission ratesClinical outcomesPatient raceEligible hospitalsReadmissionMAIN OUTCOMEReadmission measuresMedicare dataUS hospitalsHospitalCare qualityPatientsMedicaid ServicesOutcomesLower percentage