2016
Adoption of new agents and changes in treatment patterns for hepatitis C: 2010-2014.
Yao X, Sangaralingham LR, Ross JS, Shah ND, Talwalkar JA. Adoption of new agents and changes in treatment patterns for hepatitis C: 2010-2014. The American Journal Of Managed Care 2016, 22: e224-32. PMID: 27355910.Peer-Reviewed Original ResearchMeSH KeywordsAdultAntiviral AgentsDatabases, FactualDrug Therapy, CombinationFemaleHealth Care CostsHepacivirusHepatitis C, ChronicHumansInsurance Claim ReviewInterferonsLogistic ModelsMaleMiddle AgedOligopeptidesPredictive Value of TestsRetrospective StudiesRibavirinSofosbuvirTreatment OutcomeUnited StatesConceptsTreatment ratesNew medicationsRetrospective analysisHepatitis C virus medicationsOptum Labs Data WarehouseUS commercial insurance databaseLedipasvir/sofosbuvirMedian OOP costsNew HCV medicationsInterferon/ribavirinInterferon-based regimensCommercial insurance databaseAdministrative claims dataChronic HCVLiver transplantElderly patientsHCV medicationsHepatitis CNew regimensLiver diseaseTreatment patternsInsurance databaseUrgent treatmentPrimary treatmentClaims data
2015
Regional-Level Correlations in Inappropriate Imaging Rates for Prostate and Breast Cancers: Potential Implications for the Choosing Wisely Campaign
Makarov DV, Soulos PR, Gold HT, Yu JB, Sen S, Ross JS, Gross CP. Regional-Level Correlations in Inappropriate Imaging Rates for Prostate and Breast Cancers: Potential Implications for the Choosing Wisely Campaign. JAMA Oncology 2015, 1: 185-194. PMID: 26181021, PMCID: PMC4707944, DOI: 10.1001/jamaoncol.2015.37.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overBreast NeoplasmsCatchment Area, HealthChi-Square DistributionDiagnostic ImagingFemaleGuideline AdherenceHumansLogistic ModelsMaleMedicareMultivariate AnalysisPractice Guidelines as TopicPractice Patterns, Physicians'Predictive Value of TestsProstatic NeoplasmsResidence CharacteristicsRetrospective StudiesRisk FactorsSEER ProgramUnited StatesUnnecessary ProceduresConceptsLow-risk prostate cancerProstate cancerBreast cancerProstate cancer imagingFourth quartileLow-risk breast cancerBreast cancer imagingLow-risk prostateEnd Results-MedicareRetrospective cohort studyMultivariable logistic regressionChoosing Wisely campaignPatient-level analysisAppropriateness of careHospital referral regionsCancer imagingQuality of careInappropriate imagingCohort studyWisely campaignHealth care spendingLowest quartileOdds ratioPatient levelHRR level
2014
Ensuring Correct Interpretation of Diagnostic Test Results
Ross JS. Ensuring Correct Interpretation of Diagnostic Test Results. JAMA Internal Medicine 2014, 174: 993-993. PMID: 24756330, DOI: 10.1001/jamainternmed.2014.165.Commentaries, Editorials and Letters
2011
Do Imaging Studies Performed in Physician Offices Increase Downstream Utilization? An Empiric Analysis of Cardiac Stress Testing With Imaging
Chen J, Fazel R, Ross JS, McNamara RL, Einstein AJ, Al-Mallah M, Krumholz HM, Nallamothu BK. Do Imaging Studies Performed in Physician Offices Increase Downstream Utilization? An Empiric Analysis of Cardiac Stress Testing With Imaging. JACC Cardiovascular Imaging 2011, 4: 630-637. PMID: 21679898, PMCID: PMC3319749, DOI: 10.1016/j.jcmg.2011.04.003.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCardiac CatheterizationChi-Square DistributionEchocardiography, StressEmpirical ResearchFemaleHealthcare DisparitiesHumansInsurance, HealthLogistic ModelsMaleMiddle AgedMyocardial Perfusion ImagingMyocardial RevascularizationOffice VisitsOutpatient Clinics, HospitalPractice Patterns, Physicians'Predictive Value of TestsResidence CharacteristicsTime FactorsUnited StatesYoung AdultConceptsMyocardial perfusion imagingSubsequent myocardial perfusion imagingProportion of patientsStress echocardiographyCardiac catheterizationHospital outpatient settingPhysician's officeOutpatient settingStress testingSubsequent cardiac testingCardiac stress testingDownstream resource utilizationHospital outpatient facilitiesCardiac testingPrivate health insuranceDownstream testingOffice imagingPerfusion imagingCatheterizationImaging studiesOutpatient imagingPatientsHealth insuranceLower ratesHigh rate
2008
Statistical Models and Patient Predictors of Readmission for Heart Failure: A Systematic Review
Ross JS, Mulvey GK, Stauffer B, Patlolla V, Bernheim SM, Keenan PS, Krumholz HM. Statistical Models and Patient Predictors of Readmission for Heart Failure: A Systematic Review. JAMA Internal Medicine 2008, 168: 1371-1386. PMID: 18625917, DOI: 10.1001/archinte.168.13.1371.Peer-Reviewed Original ResearchMeSH KeywordsDisease ProgressionEvidence-Based MedicineFemaleHeart FailureHospitalizationHumansIncidenceMaleModels, StatisticalPatient ReadmissionPredictive Value of TestsProportional Hazards ModelsQuality-Adjusted Life YearsRisk FactorsSensitivity and SpecificitySeverity of Illness IndexSurvival AnalysisUnited StatesConceptsPatient characteristicsPatient readmission riskReadmission riskPatient riskSystematic reviewReadmission ratesHospital ratesOvid Evidence-Based Medicine ReviewsEligible English-language publicationsEvidence-Based Medicine ReviewsHeart failure hospitalizationPatient risk stratificationEnglish-language literatureEnglish-language publicationsFailure hospitalizationHF hospitalizationAdult patientsHeart failureHospital readmissionMedicine ReviewsRisk stratificationPatient predictorsInclusion criteriaReadmissionCombined outcome