2016
Development and validation of a simple risk score to predict 30‐day readmission after percutaneous coronary intervention in a cohort of medicare patients
Minges KE, Herrin J, Fiorilli PN, Curtis JP. Development and validation of a simple risk score to predict 30‐day readmission after percutaneous coronary intervention in a cohort of medicare patients. Catheterization And Cardiovascular Interventions 2016, 89: 955-963. PMID: 27515069, PMCID: PMC5397364, DOI: 10.1002/ccd.26701.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAlgorithmsDecision Support TechniquesFemaleHumansLogistic ModelsMaleMedicareMultivariate AnalysisOdds RatioPatient ReadmissionPercutaneous Coronary InterventionPredictive Value of TestsRegistriesReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsRisk of readmissionPCI patientsRisk scoreMultivariable logistic regression modelRisk score developmentDays of dischargeSimple risk scoreTime of dischargeModel c-statisticLogistic regression modelsStepwise selection modelCathPCI RegistryHospital dischargeReadmission ratesClinical factorsRevascularization proceduresValidation cohortC-statisticReadmissionHigh riskMedicare feeLower riskService claimsPatientsCohort
2012
Proton Versus Intensity-Modulated Radiotherapy for Prostate Cancer: Patterns of Care and Early Toxicity
Yu JB, Soulos PR, Herrin J, Cramer LD, Potosky AL, Roberts KB, Gross CP. Proton Versus Intensity-Modulated Radiotherapy for Prostate Cancer: Patterns of Care and Early Toxicity. Journal Of The National Cancer Institute 2012, 105: 25-32. PMID: 23243199, PMCID: PMC3536640, DOI: 10.1093/jnci/djs463.Peer-Reviewed Original ResearchConceptsIntensity-modulated radiotherapyProstate cancerMedicare beneficiariesGenitourinary toxicityEarly toxicityProton radiotherapyMultivariable logistic regressionPatterns of careMain outcome measuresType of radiotherapyMedicare reimbursementClinical benefitRetrospective studyPRT patientsOutcome measuresComprehensive cohortPRT useIMRT patientsPatientsSociodemographic characteristicsRadiotherapyCancerLogistic regressionMonthsSignificant differences
2009
Evaluating Obstetrical Residency Programs Using Patient Outcomes
Asch DA, Nicholson S, Srinivas S, Herrin J, Epstein AJ. Evaluating Obstetrical Residency Programs Using Patient Outcomes. JAMA 2009, 302: 1277-1283. PMID: 19773562, DOI: 10.1001/jama.2009.1356.Peer-Reviewed Original ResearchMeSH KeywordsAdultCesarean SectionClinical CompetenceComorbidityConfounding Factors, EpidemiologicDelivery, ObstetricExtraction, ObstetricalFemaleFloridaGynecologyHumansInternship and ResidencyMaleMothersNew YorkObstetricsOdds RatioOutcome Assessment, Health CarePhysicians, WomenPostpartum HemorrhagePuerperal InfectionQuality of Health CareResearch DesignRetrospective StudiesSurgical Wound InfectionConceptsMaternal complication ratesComplication rateCesarean deliveryPatient outcomesResidency programsGynecology training programsAdjusted complication rateQuality of careExamination scoresGynecology residency programsMaternal complicationsNonclinical measuresHospital dischargeVaginal deliveryCesarean birthRetrospective analysisComplicationsUS residency programsPatientsObstetriciansBottom quintileTop quintileHemorrhageObstetricsOne-third
2005
Enrolling Older Persons in Cancer Trials: The Effect of Sociodemographic, Protocol, and Recruitment Center Characteristics
Gross CP, Herrin J, Wong N, Krumholz HM. Enrolling Older Persons in Cancer Trials: The Effect of Sociodemographic, Protocol, and Recruitment Center Characteristics. Journal Of Clinical Oncology 2005, 23: 4755-4763. PMID: 16034051, DOI: 10.1200/jco.2005.14.365.Peer-Reviewed Original ResearchConceptsCancer trialsOlder personsRecruitment centerElderly enrollmentProportion of patientsEffect of patientProstate cancer trialsPatient-level variationFinal study sampleNational Cancer InstituteCross-sectional analysisEffects of sociodemographicsNonwhite patientsTrial participantsOutlier centersCancer InstitutePatientsEnrollment centerMultivariate analysisLikelihood of participantsCancer typesLogistic multilevel modelsTrialsCenter characteristicsStudy sample