2019
Racial and Ethnic Differences in 30-Day Hospital Readmissions Among US Adults With Diabetes
Rodriguez-Gutierrez R, Herrin J, Lipska KJ, Montori VM, Shah ND, McCoy RG. Racial and Ethnic Differences in 30-Day Hospital Readmissions Among US Adults With Diabetes. JAMA Network Open 2019, 2: e1913249. PMID: 31603490, PMCID: PMC6804020, DOI: 10.1001/jamanetworkopen.2019.13249.Peer-Reviewed Original ResearchMeSH KeywordsAdministrative Claims, HealthcareAgedAged, 80 and overAsianBlack or African AmericanComorbidityDiabetes ComplicationsEthnicityFemaleHispanic or LatinoHospital Bed Capacity, 300 to 499Hospital Bed Capacity, 500 and overHospitals, UniversityHospitals, VoluntaryHumansIncomeMaleMiddle AgedMinority GroupsPatient ReadmissionRacial GroupsRetrospective StudiesUnited StatesWhite PeopleConceptsCause readmissionIndex hospitalizationBlack patientsWhite patientsUS adultsHigh riskAdministrative claims data setsHospital-level risk factorsEthnic differencesLarge hospitalsPlace of hospitalizationDays of dischargeRetrospective cohort studyLow-income patientsMedicare Advantage beneficiariesSystem-level factorsClaims data setsHealth care qualityRace/ethnicityCohort studyReadmission ratesAdult patientsHospital readmissionHispanic patientsReadmission risk
2018
Admission diagnoses among patients with heart failure: Variation by ACO performance on a measure of risk-standardized acute admission rates
Benchetrit L, Zimmerman C, Bao H, Dharmarajan K, Altaf F, Herrin J, Lin Z, Krumholz HM, Drye EE, Lipska KJ, Spatz ES. Admission diagnoses among patients with heart failure: Variation by ACO performance on a measure of risk-standardized acute admission rates. American Heart Journal 2018, 207: 19-26. PMID: 30404047, DOI: 10.1016/j.ahj.2018.09.006.Peer-Reviewed Original ResearchMeSH KeywordsAccountable Care OrganizationsAgedAlgorithmsAnalysis of VarianceCardiovascular DiseasesComorbidityFemaleHeart FailureHospitalizationHumansInternational Classification of DiseasesMaleMedicare Part AMedicare Part BPatient AdmissionPatient DischargePatient-Centered CareSex DistributionTime FactorsUnited StatesConceptsHeart failureAccountable care organizationsMean admission rateAdmission ratesAdmission typeAcute admission ratesNoncardiovascular conditionsAdmission diagnosisCause admission ratesMedicare Shared Savings Program Accountable Care OrganizationsRate of hospitalizationPrincipal discharge diagnosisProportion of admissionsType of admissionNoncardiovascular causesHF admissionsHF patientsPerson yearsDischarge diagnosisPatient populationPatientsAdmissionKey quality metricDiagnosisSubstantial proportionPhysician peer group characteristics and timeliness of breast cancer surgery
Bachand J, Soulos PR, Herrin J, Pollack CE, Xu X, Ma X, Gross CP. Physician peer group characteristics and timeliness of breast cancer surgery. Breast Cancer Research And Treatment 2018, 170: 657-665. PMID: 29693229, PMCID: PMC6048589, DOI: 10.1007/s10549-018-4789-8.Peer-Reviewed Original ResearchConceptsPhysician peer groupsSurgical delayProvider densityPatient racial compositionBreast cancerEnd Results-Medicare dataBreast cancer patientsBreast cancer surgeryResultsThe study sampleConclusionsThe likelihoodBlack patientsCancer surgeryCancer patientsSurgeryPatientsStudy sampleWomenCancerAssociationGroupGroup characteristicsPurposeLittleInterdisciplinary groupPeer groupEpidemiology
2016
Trends in Drug Utilization, Glycemic Control, and Rates of Severe Hypoglycemia, 2006–2013
Lipska KJ, Yao X, Herrin J, McCoy RG, Ross JS, Steinman MA, Inzucchi SE, Gill TM, Krumholz HM, Shah ND. Trends in Drug Utilization, Glycemic Control, and Rates of Severe Hypoglycemia, 2006–2013. Diabetes Care 2016, 40: 468-475. PMID: 27659408, PMCID: PMC5360291, DOI: 10.2337/dc16-0985.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedBlood GlucoseComorbidityDiabetes Mellitus, Type 2Dipeptidyl-Peptidase IV InhibitorsDrug UtilizationFemaleGlycated HemoglobinHumansHypoglycemiaHypoglycemic AgentsInsulinLogistic ModelsMaleMetforminMiddle AgedRetrospective StudiesSulfonylurea CompoundsThiazolidinedionesYoung AdultConceptsGlycemic controlSevere hypoglycemiaOlder patientsDipeptidyl peptidase-4 inhibitorsGlucose-lowering drugsGlucose-lowering medicationsProportion of patientsOverall glycemic controlPeptidase-4 inhibitorsMedicare Advantage patientsSex-standardized ratesType 2 diabetesOverall rateClass of agentsMore comorbiditiesChronic comorbiditiesYounger patientsAdvantage patientsDrug utilizationClaims dataPatientsHypoglycemiaHemoglobin AT2DMComorbidities
2015
Long-term Outcomes After Stepping Down Asthma Controller Medications A Claims-Based, Time-to-Event Analysis
Rank MA, Johnson R, Branda M, Herrin J, van Houten H, Gionfriddo MR, Shah ND. Long-term Outcomes After Stepping Down Asthma Controller Medications A Claims-Based, Time-to-Event Analysis. CHEST Journal 2015, 148: 630-639. PMID: 25997080, PMCID: PMC4556120, DOI: 10.1378/chest.15-0301.Peer-Reviewed Original ResearchMeSH KeywordsAdministration, InhalationAgedAged, 80 and overAnti-Asthmatic AgentsAsthmaComorbidityDrug Administration ScheduleEmergency Service, HospitalFemaleHospitalizationHumansInsurance Claim ReviewMaleMedicare Part CMedication AdherenceRecurrenceRetrospective StudiesRisk FactorsTreatment OutcomeUnited StatesConceptsAsthma controller medicationsAsthma exacerbationsLong-term outcomesController medicationsAsthma stabilityAsthma medicationsHealth-care provider guidanceFirst asthma exacerbationED visitsPrimary outcomeAdherence lapsesMedicationsExacerbationFour-month intervalsProvider guidanceStudy settingEvent analysisRetrospective timeMonthsAsthmaOutcomesIndividualsHospitalizationPeriodMonth stabilityThe Role of Patient Factors, Cancer Characteristics, and Treatment Patterns in the Cost of Care for Medicare Beneficiaries with Breast Cancer
Xu X, Herrin J, Soulos PR, Saraf A, Roberts KB, Killelea BK, Wang SY, Long JB, Wang R, Ma X, Gross CP. The Role of Patient Factors, Cancer Characteristics, and Treatment Patterns in the Cost of Care for Medicare Beneficiaries with Breast Cancer. Health Services Research 2015, 51: 167-186. PMID: 26119176, PMCID: PMC4722219, DOI: 10.1111/1475-6773.12328.Peer-Reviewed Original ResearchConceptsBreast cancer careHospital referral regionsCancer careMedicare expendituresBreast cancerRadiation therapyTreatment factorsMean Medicare expendituresEnd Results-MedicareSpecific treatment modalitiesContribution of patientCost of careHighest spending quintilePatient factorsTreatment patternsTumor characteristicsCancer characteristicsTreatment modalitiesReferral regionsMedicare beneficiariesQuintilePatientsCancerCareTherapyChanging trends in type 2 diabetes mellitus treatment intensification, 2002-2010.
McCoy RG, Zhang Y, Herrin J, Denton BT, Mason JE, Montori VM, Smith SA, Shah ND. Changing trends in type 2 diabetes mellitus treatment intensification, 2002-2010. The American Journal Of Managed Care 2015, 21: e288-96. PMID: 26167776.Peer-Reviewed Original ResearchMeSH KeywordsAdministration, OralAdolescentAdultAge FactorsAgedBlood GlucoseComorbidityDiabetes Mellitus, Type 2Drug Therapy, CombinationFemaleGlycated HemoglobinHumansHypoglycemic AgentsIncretinsInsurance Claim ReviewMaleMetforminMiddle AgedResidence CharacteristicsRetrospective StudiesSex FactorsSocioeconomic FactorsSulfonylurea CompoundsUnited StatesYoung AdultConceptsTreatment intensificationCox proportional hazards regression analysisNational administrative data setProportional hazards regression analysisRetrospective secondary data analysisDiabetes treatment intensificationOptimal diabetes careHazards regression analysisDiabetes-related complicationsAdults 18 yearsTreatment-naïve adultsNon-Hispanic whitesComorbidity burdenMetformin monotherapySulfonylurea useMetformin prescriptionThiazolidinedione useGlycemic controlKaplan-MeierMean ageDiabetes careSignificant confoundersSecondary data analysisAdministrative data setsDiabetes therapy
2010
Impact of Hospice Disenrollment on Health Care Use and Medicare Expenditures for Patients With Cancer
Carlson MD, Herrin J, Du Q, Epstein AJ, Barry CL, Morrison RS, Back AL, Bradley EH. Impact of Hospice Disenrollment on Health Care Use and Medicare Expenditures for Patients With Cancer. Journal Of Clinical Oncology 2010, 28: 4371-4375. PMID: 20805463, PMCID: PMC2954136, DOI: 10.1200/jco.2009.26.1818.Peer-Reviewed Original ResearchConceptsHealth care useHospice disenrollmentCare useMedicare expendituresHospice usersEmergency departmentIntensive care unit admissionEnd Results-Medicare dataHigher health care useDisease-directed treatmentCare unit admissionRate of hospitalizationIntensive care unitLargest diagnostic groupResult of cancerTotal Medicare expendituresHospital deathUnit admissionCare unitMultivariable analysisFamily caregiversPatientsHospice teamPatient careDiagnostic groups
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
2004
Hospital-Level Performance Improvement
Bradley EH, Herrin J, Mattera JA, Holmboe ES, Wang Y, Frederick P, Roumanis SA, Radford MJ, Krumholz HM. Hospital-Level Performance Improvement. Medical Care 2004, 42: 591-599. PMID: 15167327, DOI: 10.1097/01.mlr.0000128006.27364.a9.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAgedAmerican Hospital AssociationCardiology Service, HospitalComorbidityDrug Utilization ReviewFemaleGeographyGuideline AdherenceHealth Care SurveysHumansLogistic ModelsMaleMiddle AgedMyocardial InfarctionPatient DischargeQuality Assurance, Health CareRegistriesSocioeconomic FactorsUnited StatesConceptsBeta-blocker useAcute myocardial infarctionHospital-level variationHospital characteristicsMyocardial infarctionBeta-blocker prescription ratesHospital-level changesHospital-level ratesAmerican Hospital Association Annual SurveyClinical characteristicsPrescription ratesNational registryAMI volumeHospital ratesRate of improvementImprovement rateTeaching statusIndividual hospitalsInfarctionHospitalNational surveyPercentage pointsTime periodUse ratesWeak predictor