2021
Levothyroxine Use in the United States, 2008-2018
Brito JP, Ross JS, Kawkgi O, Maraka S, Deng Y, Shah ND, Lipska KJ. Levothyroxine Use in the United States, 2008-2018. JAMA Internal Medicine 2021, 181: 1402-1405. PMID: 34152370, PMCID: PMC8218227, DOI: 10.1001/jamainternmed.2021.2686.Peer-Reviewed Original ResearchEffects of forced disruption in Medicaid managed care on children with asthma
Piwnica‐Worms K, Staiger B, Ross JS, Rosenthal MS, Ndumele CD. Effects of forced disruption in Medicaid managed care on children with asthma. Health Services Research 2021, 56: 668-676. PMID: 33624290, PMCID: PMC8313960, DOI: 10.1111/1475-6773.13643.Peer-Reviewed Original ResearchConceptsPrimary care providersPersistent asthmaCare plansOutpatient visitsCare utilizationCare administrative claims dataEmergency department utilizationHealth care utilizationAdministrative claims dataIndicators of asthmaProportion of childrenPatients outpatientHealth utilizationAdministrative claimsAsthmaCare providersClaims dataNumber of childrenConsistent associationMedicaidVisitsChildrenOutpatientsPercentage point decreaseEnrollment data
2020
Medicare beneficiaries' out-of-pocket costs for commonly used generic drugs, 2009-2017.
Liu P, Dhruva SS, Shah ND, Ross JS. Medicare beneficiaries' out-of-pocket costs for commonly used generic drugs, 2009-2017. The American Journal Of Managed Care 2020, 26: 112-117. PMID: 32181626, DOI: 10.37765/ajmc.2020.42635.Peer-Reviewed Original ResearchMeSH KeywordsChronic DiseaseDrugs, GenericFinancing, PersonalHumansInsurance Claim ReviewMedicare Part DResidence CharacteristicsRetrospective StudiesUnited StatesConceptsPrescription drug plansPocket costsMedicare prescription drug plansGeneric drugsDrug price transparencyCash pricesPrice transparencyPocket expenditureDiscount programDrug plansDrug discount programsMedicare beneficiariesGeneric drug discount programsBeneficiariesCostGeneric drug prescriptionPricesDrug listGeneric medications
2019
Claims-based cardiovascular outcome identification for clinical research: Results from 7 large randomized cardiovascular clinical trials
Brennan JM, Wruck L, Pencina MJ, Clare RM, Lopes RD, Alexander JH, O'Brien S, Krucoff M, Rao SV, Wang TY, Curtis LH, Newby LK, Granger CB, Patel M, Mahaffey K, Ross JS, Normand SL, Eloff BC, Caños DA, Lokhnygina YV, Roe MT, Califf RM, Marinac-Dabic D, Peterson ED. Claims-based cardiovascular outcome identification for clinical research: Results from 7 large randomized cardiovascular clinical trials. American Heart Journal 2019, 218: 110-122. PMID: 31726314, DOI: 10.1016/j.ahj.2019.09.002.Peer-Reviewed Original ResearchMeSH KeywordsAgedBiomedical ResearchCardiovascular DiseasesCoronary Artery BypassData AccuracyDatabases, FactualFee-for-Service PlansFemaleFollow-Up StudiesHumansInpatientsInsurance Claim ReviewKaplan-Meier EstimateMaleMedical Record LinkageMedicareMulticenter Studies as TopicMyocardial InfarctionMyocardial RevascularizationRandomized Controlled Trials as TopicRetrospective StudiesStrokeUnited StatesConceptsCardiovascular clinical trialsMyocardial infarctionEvent ratesClinical researchRandomized cardiovascular clinical trialsClinical trialsTrial participantsClinical events committee’s adjudicationsOverall cardiovascular event ratesTreatment effectsAnnual event rateCardiovascular event ratesMedicare inpatient claimsClinical trial dataOutcomes of interestSite-reported eventsCase concordanceCardiovascular outcomesRetrospective studyHigher event ratesInpatient claimsClinical dataMedicare claimsClaims dataDuke Database
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
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
Development and Validation of an Algorithm to Identify Planned Readmissions From Claims Data
Horwitz LI, Grady JN, Cohen DB, Lin Z, Volpe M, Ngo CK, Masica AL, Long T, Wang J, Keenan M, Montague J, Suter LG, Ross JS, Drye EE, Krumholz HM, Bernheim SM. Development and Validation of an Algorithm to Identify Planned Readmissions From Claims Data. Journal Of Hospital Medicine 2015, 10: 670-677. PMID: 26149225, PMCID: PMC5459369, DOI: 10.1002/jhm.2416.Peer-Reviewed Original ResearchMeSH KeywordsAgedAlgorithmsFee-for-Service PlansHospitals, VoluntaryHumansInsurance Claim ReviewMedicarePatient ReadmissionSensitivity and SpecificityUnited StatesConceptsSame-hospital readmissionsNegative predictive valuePositive predictive valuePredictive valueReadmission measuresHospital-wide readmission measureGold standard chart reviewAdministrative claims-based algorithmDiagnostic cardiac catheterizationClaims-based algorithmLarge teaching centersAcute care hospitalsSmall community hospitalUnplanned readmissionChart reviewCardiac catheterizationScheduled careSpecificity 96.5Community hospitalReadmissionClaims dataCardiac devicesHealth systemTeaching centerPublic reporting
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 adjustmentHospitalUse and Out-of-Pocket Costs of Insulin for Type 2 Diabetes Mellitus From 2000 Through 2010
Lipska KJ, Ross JS, Van Houten HK, Beran D, Yudkin JS, Shah ND. Use and Out-of-Pocket Costs of Insulin for Type 2 Diabetes Mellitus From 2000 Through 2010. JAMA 2014, 311: 2331-2333. PMID: 24915266, PMCID: PMC4133975, DOI: 10.1001/jama.2014.6316.Peer-Reviewed Original ResearchDoctors and healthcare reform: a duty to understand?
Long T, Ross JS. Doctors and healthcare reform: a duty to understand? Postgraduate Medical Journal 2014, 90: 303-304. PMID: 24835534, DOI: 10.1136/postgradmedj-2014-132689.Commentaries, Editorials and Letters
2013
Diagnoses and Timing of 30-Day Readmissions After Hospitalization for Heart Failure, Acute Myocardial Infarction, or Pneumonia
Dharmarajan K, Hsieh AF, Lin Z, Bueno H, Ross JS, Horwitz LI, Barreto-Filho JA, Kim N, Bernheim SM, Suter LG, Drye EE, Krumholz HM. Diagnoses and Timing of 30-Day Readmissions After Hospitalization for Heart Failure, Acute Myocardial Infarction, or Pneumonia. JAMA 2013, 309: 355-363. PMID: 23340637, PMCID: PMC3688083, DOI: 10.1001/jama.2012.216476.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionCommon readmission diagnosesAcute MI hospitalizationReadmission diagnosesDays of hospitalizationPatient demographic characteristicsHeart failureMyocardial infarctionHF hospitalizationReadmission timingPneumonia hospitalizationsMedian timeMI hospitalizationMedicare feeIndex HF hospitalizationIndex pneumonia hospitalizationProportion of patientsDemographic characteristicsService claims dataMI cohortPneumonia cohortHF cohortCondition categoriesHospitalizationReadmission
2008
An Administrative Claims Measure Suitable for Profiling Hospital Performance on the Basis of 30-Day All-Cause Readmission Rates Among Patients With Heart Failure
Keenan PS, Normand SL, Lin Z, Drye EE, Bhat KR, Ross JS, Schuur JD, Stauffer BD, Bernheim SM, Epstein AJ, Wang Y, Herrin J, Chen J, Federer JJ, Mattera JA, Wang Y, Krumholz HM. An Administrative Claims Measure Suitable for Profiling Hospital Performance on the Basis of 30-Day All-Cause Readmission Rates Among Patients With Heart Failure. Circulation Cardiovascular Quality And Outcomes 2008, 1: 29-37. PMID: 20031785, DOI: 10.1161/circoutcomes.108.802686.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesCause readmission rateReadmission ratesHeart failureHospital-level readmission ratesAdjusted readmission ratesAdministrative Claims MeasureUnadjusted readmission ratesHeart failure patientsHospital risk-standardized readmission ratesMedical record dataProfiling Hospital PerformanceHierarchical logistic regression modelsUse of MedicareMedical record modelNational Quality ForumLogistic regression modelsCause readmissionClaims-based modelsHospital dischargeFailure patientsC-statisticPreventable eventsPatientsQuality Forum