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
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
2013
Regional Density of Cardiologists and Rates of Mortality for Acute Myocardial Infarction and Heart Failure
Kulkarni VT, Ross JS, Wang Y, Nallamothu BK, Spertus JA, Normand SL, Masoudi FA, Krumholz HM. Regional Density of Cardiologists and Rates of Mortality for Acute Myocardial Infarction and Heart Failure. Circulation Cardiovascular Quality And Outcomes 2013, 6: 352-359. PMID: 23680965, PMCID: PMC5323047, DOI: 10.1161/circoutcomes.113.000214.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCardiologyCohort StudiesFemaleHealth Services AccessibilityHealth Services Needs and DemandHealthcare DisparitiesHeart FailureHospitalizationHumansLinear ModelsLogistic ModelsMaleMedicareMyocardial InfarctionOdds RatioPhysiciansPneumoniaPrognosisResidence CharacteristicsRisk AssessmentRisk FactorsTime FactorsUnited StatesWorkforceConceptsAcute myocardial infarctionHeart failureHospital referral regionsMortality riskLowest quintileMyocardial infarctionReferral regionsMedicare administrative claims dataCharacteristics of patientsRisk of deathAdministrative claims dataHierarchical logistic regression modelsLogistic regression modelsRate of mortalityRegional densityHighest quintileNumber of cardiologistsWorse outcomesClaims dataPatientsPneumoniaCardiologistsHospitalizationAdmissionQuintile