2020
Association between FDA and EMA expedited approval programs and therapeutic value of new medicines: retrospective cohort study
Hwang TJ, Ross JS, Vokinger KN, Kesselheim AS. Association between FDA and EMA expedited approval programs and therapeutic value of new medicines: retrospective cohort study. The BMJ 2020, 371: m3434. PMID: 33028575, PMCID: PMC7537471, DOI: 10.1136/bmj.m3434.Peer-Reviewed Original ResearchConceptsEuropean Medicines AgencyRetrospective cohort studyTherapeutic valueHigh therapeutic valueNew drugsCohort studyLow therapeutic valueEMA approvalUS FoodDrug AdministrationMedicines AgencyFDA approvalDrugsFDARegulatory approvalApproval programsNew medicinesAssociationGreater proportionApprovalProportionAdministrationThe Promise of Big Data and Digital Solutions in Building a Cardiovascular Learning System: Opportunities and Barriers.
Mori M, Khera R, Lin Z, Ross JS, Schulz W, Krumholz HM. The Promise of Big Data and Digital Solutions in Building a Cardiovascular Learning System: Opportunities and Barriers. Methodist DeBakey Cardiovascular Journal 2020, 16: 212-219. PMID: 33133357, PMCID: PMC7587314, DOI: 10.14797/mdcj-16-3-212.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsLearning health systemLearning systemCommon data modelDynamic learning systemAdvanced analyticsBig dataData assetsData modelDigital solutionsCustomer interactionContinuous learningKnowledge generationEffective useConceptual modelAnalyticsSystemGoogleHealth systemLearningComparable scaleModelDataCompanies
2014
Attitudes of Hospital Leaders Toward Publicly Reported Measures of Health Care Quality
Lindenauer PK, Lagu T, Ross JS, Pekow PS, Shatz A, Hannon N, Rothberg MB, Benjamin EM. Attitudes of Hospital Leaders Toward Publicly Reported Measures of Health Care Quality. JAMA Internal Medicine 2014, 174: 1904-1911. PMID: 25286316, PMCID: PMC4250277, DOI: 10.1001/jamainternmed.2014.5161.Peer-Reviewed Original ResearchConceptsPatient experience measuresDevelopment 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 adjustmentHospitalPlace of Residence and Outcomes of Patients With Heart Failure
Bikdeli B, Wayda B, Bao H, Ross JS, Xu X, Chaudhry SI, Spertus JA, Bernheim SM, Lindenauer PK, Krumholz HM. Place of Residence and Outcomes of Patients With Heart Failure. Circulation Cardiovascular Quality And Outcomes 2014, 7: 749-756. PMID: 25074375, PMCID: PMC5323058, DOI: 10.1161/circoutcomes.113.000911.Peer-Reviewed Original ResearchConceptsNeighborhood socioeconomic statusIndividual socioeconomic statusOutcomes of patientsHeart failureHigher SES neighborhoodsSocioeconomic statusClinical factorsHeart Failure Outcomes trialPrimary end pointPatient-level factorsUS internal medicineCause mortalityCause readmissionMultivariable adjustmentOutcome trialsMedical chartsPatient interviewsLow-SES neighborhoodsCardiology practiceMortality ratePatientsPlace of residenceInternal medicineReadmissionEnd point
2010
Who is missing from the measures? Trends in the proportion and treatment of patients potentially excluded from publicly reported quality measures
Bernheim SM, Wang Y, Bradley EH, Masoudi FA, Rathore SS, Ross JS, Drye E, Krumholz HM. Who is missing from the measures? Trends in the proportion and treatment of patients potentially excluded from publicly reported quality measures. American Heart Journal 2010, 160: 943-950.e5. PMID: 21095284, PMCID: PMC3319386, DOI: 10.1016/j.ahj.2010.06.046.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAgedAngiotensin-Converting Enzyme InhibitorsCross-Sectional StudiesFemaleHospitalizationHumansMaleMedicaidMedicareMyocardial InfarctionOutcome and Process Assessment, Health CarePlatelet Aggregation InhibitorsPrognosisQuality ImprovementQuality Indicators, Health CareRetrospective StudiesUnited StatesConceptsAcute myocardial infarctionProportion of patientsRelative contraindicationAngiotensin-converting enzyme inhibitorTreatment of patientsMedicaid Services core measuresQuality improvement projectPublic reportingCross-sectional analysisMyocardial infarctionMedicare patientsHospital careΒ-blockersAMI admissionsPatientsInsufficient evidenceEnzyme inhibitorsTreatment ratesBetter careContraindicationsMedicaid ServicesData cohortCore measuresTreatmentImprovement project