2021
Association of Fluoroquinolone Prescribing Rates With Black Box Warnings from the US Food and Drug Administration
Sankar A, Swanson KM, Zhou J, Jena AB, Ross JS, Shah ND, Karaca-Mandic P. Association of Fluoroquinolone Prescribing Rates With Black Box Warnings from the US Food and Drug Administration. JAMA Network Open 2021, 4: e2136662. PMID: 34851398, PMCID: PMC8637256, DOI: 10.1001/jamanetworkopen.2021.36662.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAmbulatory CareAnti-Bacterial AgentsBronchitisCross-Sectional StudiesDrug LabelingDrug PrescriptionsFemaleFluoroquinolonesHealth Plan ImplementationHumansInterrupted Time Series AnalysisMaleMedicareMiddle AgedPractice Patterns, Physicians'SinusitisUnited StatesUnited States Food and Drug AdministrationUrinary Tract InfectionsConceptsPrescribing of fluoroquinolonesCross-sectional studyBlack box warningFDA warningCare physiciansPrescribing levelsBox warningMAIN OUTCOMEUS FoodDrug AdministrationMedicare administrative claims dataUncomplicated urinary tract infectionsNon-primary care physiciansAcute care visitsUrinary tract infectionFDA black box warningPrimary care physiciansAdministrative claims dataCase mix indexFluoroquinolone prescriptionsPrescribing trendsCare visitsPrescribing ratesTract infectionsOutpatient visits
2019
Association of a Risk Evaluation and Mitigation Strategy Program With Transmucosal Fentanyl Prescribing
Fleischman W, Auth D, Shah ND, Agrawal S, Ross JS. Association of a Risk Evaluation and Mitigation Strategy Program With Transmucosal Fentanyl Prescribing. JAMA Network Open 2019, 2: e191340. PMID: 30924899, PMCID: PMC6450314, DOI: 10.1001/jamanetworkopen.2019.1340.Peer-Reviewed Original ResearchMeSH KeywordsAdministration, MucosalAgedAnalgesics, OpioidDrug PrescriptionsFentanylHumansInterrupted Time Series AnalysisMedicareMiddle AgedRisk Evaluation and MitigationUnited StatesConceptsMedicare Part D beneficiariesPart D beneficiariesOpioid toleranceClock opioid analgesicsMitigation strategy programAccess programOpioid prescribing trendsPercentage of prescriptionsInterrupted time series analysisREMS implementationBreakthrough painCohort studyPrescribing trendsOpioid analgesicsCancer definitionsMAIN OUTCOMECancer statusPatientsUS FoodDrug AdministrationPrescribingCancerFentanyl drugsPrescriptionMonthly decrease
2017
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
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 patients
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 beneficiariesHospitalPatients