2020
Patient and provider-level factors associated with changes in utilization of treatments in response to evidence on ineffectiveness or harm
Smith LB, Desai NR, Dowd B, Everhart A, Herrin J, Higuera L, Jeffery MM, Jena AB, Ross JS, Shah ND, Karaca-Mandic P. Patient and provider-level factors associated with changes in utilization of treatments in response to evidence on ineffectiveness or harm. International Journal Of Health Economics And Management 2020, 20: 299-317. PMID: 32350680, PMCID: PMC7725279, DOI: 10.1007/s10754-020-09282-2.Peer-Reviewed Original ResearchConceptsPermanent atrial fibrillationType 2 diabetesAtrial fibrillationPermanent atrial fibrillation patientsProvider-level factorsAtrial fibrillation patientsEffective new therapiesPrimary care providersUse of medicationsProvider-level characteristicsUtilization of treatmentHigh-quality health careDronedarone useInterrupted time-series regression modelsFibrillation patientsMedication useDiabetes patientsProvider characteristicsCare providersMedicare feeNew therapiesService claimsFemale providersPatientsMedications
2018
Variation 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
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