2020
Risk of Systemic Adverse Events after Intravitreal Bevacizumab, Ranibizumab, and Aflibercept in Routine Clinical Practice
Maloney MH, Payne SR, Herrin J, Sangaralingham LR, Shah ND, Barkmeier AJ. Risk of Systemic Adverse Events after Intravitreal Bevacizumab, Ranibizumab, and Aflibercept in Routine Clinical Practice. Ophthalmology 2020, 128: 417-424. PMID: 32781110, DOI: 10.1016/j.ophtha.2020.07.062.Peer-Reviewed Original ResearchMeSH KeywordsAngiogenesis InhibitorsBevacizumabCerebrovascular DisordersDrug-Related Side Effects and Adverse ReactionsFemaleHemorrhageHospitalizationHumansIntravitreal InjectionsMaleMyocardial InfarctionRanibizumabReceptors, Vascular Endothelial Growth FactorRecombinant Fusion ProteinsRetinal DiseasesRetrospective StudiesRisk AssessmentVascular Endothelial Growth Factor AConceptsNeovascular age-related macular degenerationRetinal venous occlusive diseaseDiabetic retinal diseaseSystemic serious adverse eventsAnti-VEGF injectionsAnti-VEGF agentsMajor bleedingAcute myocardial infarctionCause hospitalizationCerebrovascular diseaseRoutine clinical practiceMyocardial infarctionIntravitreal bevacizumabTreatment initiationAdverse eventsPropensity score-weighted Cox proportional hazards modelClinical practiceLarge U.S. administrative claims databaseRisk of MICox proportional hazards modelU.S. administrative claims databaseAge-related macular degenerationRisk-adjusted effectSystemic safety profileRetrospective cohort study
2019
Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states
Roy B, Riley C, Herrin J, Spatz E, Hamar B, Kell KP, Rula EY, Krumholz H. Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states. BMJ Open 2019, 9: e030017. PMID: 31780588, PMCID: PMC6886944, DOI: 10.1136/bmjopen-2019-030017.Peer-Reviewed Original ResearchConceptsHospitalisation ratesZip codesPrimary care physician densityCross-sectional study SETTINGCancer-related admissionsRespiratory-related admissionsCross-sectional studyQuality of lifeRace/ethnicityCause hospitalisationSecondary outcomesPrimary outcomeHighest quintileUnnecessary hospitalisationAdmission ratesSD increaseHospitalisationLife benefitsPhysician densityStudy settingMain independent variableBeing IndexHospital bedsAdmissionGallup-Sharecare WellHome Health Care After Skilled Nursing Facility Discharge Following Heart Failure Hospitalization
Weerahandi H, Bao H, Herrin J, Dharmarajan K, Ross JS, Jones S, Horwitz LI. Home Health Care After Skilled Nursing Facility Discharge Following Heart Failure Hospitalization. Journal Of The American Geriatrics Society 2019, 68: 96-102. PMID: 31603248, PMCID: PMC6964248, DOI: 10.1111/jgs.16179.Peer-Reviewed Original ResearchConceptsSkilled nursing facilitiesHF hospitalizationReadmission ratesReadmission riskHeart failure readmission ratesDays of dischargeHeart failure hospitalizationRetrospective cohort studyHospital discharge practicesMore functional impairmentHome health careFailure hospitalizationHF patientsUnplanned readmissionCohort studyHospital dischargePrimary outcomeRestorative therapySNF stayFunctional impairmentHome healthcare servicesService Medicare dataAdjusted modelCox modelNursing facilities
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 proportionAssociation of the Overall Well-being of a Population With Health Care Spending for People 65 Years of Age or Older
Riley C, Roy B, Herrin J, Spatz ES, Arora A, Kell KP, Rula EY, Krumholz HM. Association of the Overall Well-being of a Population With Health Care Spending for People 65 Years of Age or Older. JAMA Network Open 2018, 1: e182136. PMID: 30646154, PMCID: PMC6324481, DOI: 10.1001/jamanetworkopen.2018.2136.Peer-Reviewed Original ResearchConceptsMedicare FFS beneficiariesPeople 65 yearsHealth care spendingFFS beneficiariesCare spendingPopulation-based cross-sectional studyLower health care spendingHealth care system capacityCross-sectional studyHealth care systemPopulation levelPayment modelsCare payment modelsHighest quintileInverse associationStudy interventionMAIN OUTCOMEMedicare feeMedicare beneficiariesUS national studyOverall healthMedian household incomeBeing IndexCare systemDemographic characteristicsRecurrent hospitalizations for severe hypoglycemia and hyperglycemia among U.S. adults with diabetes
McCoy RG, Herrin J, Lipska KJ, Shah ND. Recurrent hospitalizations for severe hypoglycemia and hyperglycemia among U.S. adults with diabetes. Journal Of Diabetes And Its Complications 2018, 32: 693-701. PMID: 29751961, PMCID: PMC6015781, DOI: 10.1016/j.jdiacomp.2018.04.007.Peer-Reviewed Original ResearchConceptsRecurrent hyperglycemiaRecurrent hypoglycemiaNew glucose-lowering medicationsPost-discharge managementGlucose-lowering medicationsHigh-risk patientsOptumLabs Data WarehouseHypoglycemia hospitalizationIndex dischargeOlder patientsRisk patientsUnrelated causesSevere hypoglycemiaRecurrent hospitalizationsNational cohortEarly recognitionPrincipal diagnosisRisk factorsRetrospective analysisHyperglycemiaHypoglycemiaPatientsReadmissionU.S. adultsHospitalizationEffect of Hospital Readmission Reduction on Patients at Low, Medium, and High Risk of Readmission in the Medicare Population
Blecker S, Herrin J, Kwon JY, Grady JN, Jones S, Horwitz LI. Effect of Hospital Readmission Reduction on Patients at Low, Medium, and High Risk of Readmission in the Medicare Population. Journal Of Hospital Medicine 2018, 13: 537-543. PMID: 29455229, PMCID: PMC6063766, DOI: 10.12788/jhm.2936.Peer-Reviewed Original ResearchMeSH KeywordsAgedFee-for-Service PlansFemaleHospitalizationHumansMaleMedicarePatient ReadmissionRetrospective StudiesUnited States
2017
Predictors of Return Visits Among Insured Emergency Department Mental Health and Substance Abuse Patients, 2005-2013
Lee S, Herrin J, Bobo WV, Johnson R, Sangaralingham LR, Campbell RL. Predictors of Return Visits Among Insured Emergency Department Mental Health and Substance Abuse Patients, 2005-2013. Western Journal Of Emergency Medicine 2017, 18: 884-893. PMID: 28874941, PMCID: PMC5576625, DOI: 10.5811/westjem.2017.6.33850.Peer-Reviewed Original ResearchConceptsED visitsReturn visitsInpatient admissionsOptum Labs Data WarehouseMental healthChronic medical comorbiditiesContinuous insurance enrollmentFirst ED visitIndex ED visitRetrospective cohort studyAdministrative claims dataMedicare Advantage enrolleesPrior EDMedical comorbiditiesCohort studyAcute carePrimary diagnosisStudy inclusionRisk factorsInpatient utilizationClaims dataIncreased ageSubstance abusePatientsStudy periodImpact of treatment regimen on acute care use during and after adjuvant chemotherapy for early-stage breast cancer
Ruddy KJ, Van Houten HK, Sangaralingham LR, Freedman RA, Thompson CA, Hashmi SK, Jemal A, Haddad TC, Mougalian S, Herrin J, Gross C, Shah N. Impact of treatment regimen on acute care use during and after adjuvant chemotherapy for early-stage breast cancer. Breast Cancer Research And Treatment 2017, 164: 515-525. PMID: 28493045, DOI: 10.1007/s10549-017-4280-y.Peer-Reviewed Original ResearchConceptsAcute care useEarly-stage breast cancerCare useBreast cancerAdjuvant chemotherapyContemporary adjuvant chemotherapyAcute care needsCommercial insurance databaseEmergency department visitsED visit ratesRate of hospitalizationOncology Care ModelChemotherapy initiationChemotherapy regimenEligible patientsED visitsDepartment visitsTreatment regimenAcute careInsurance databaseAdministration periodAdjusted ratesCare modelCare needsVisit rates
2016
Shared decision making in patients with low risk chest pain: prospective randomized pragmatic trial
Hess EP, Hollander JE, Schaffer JT, Kline JA, Torres CA, Diercks DB, Jones R, Owen KP, Meisel ZF, Demers M, Leblanc A, Shah ND, Inselman J, Herrin J, Castaneda-Guarderas A, Montori VM. Shared decision making in patients with low risk chest pain: prospective randomized pragmatic trial. The BMJ 2016, 355: i6165. PMID: 27919865, PMCID: PMC5152707, DOI: 10.1136/bmj.i6165.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAdultAftercareAmbulatory CareAttitude of Health PersonnelChest PainChoice BehaviorConflict, PsychologicalDecision MakingDecision Support TechniquesEmergency Service, HospitalFemaleHealth Knowledge, Attitudes, PracticeHospital UnitsHospitalizationHumansMaleMiddle AgedMyocardial InfarctionObservationPatient Acceptance of Health CarePatient ParticipationPatient SatisfactionRisk AssessmentTrustConceptsAcute coronary syndromeMajor adverse cardiac eventsAdverse cardiac eventsCardiac testingCoronary syndromeChest painUsual careCardiac eventsPatient knowledgeLow-risk chest painPossible acute coronary syndromeDecision aid armFurther cardiac testingRandomized pragmatic trialRisk chest painUsual care armObservation unitProportion of patientsRate of admissionCare armSecondary outcomesPrimary outcomePrimary complaintTRIAL REGISTRATIONEmergency clinicians
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 stability
2010
Telemonitoring in Patients with Heart Failure
Chaudhry SI, Mattera JA, Curtis JP, Spertus JA, Herrin J, Lin Z, Phillips CO, Hodshon BV, Cooper LS, Krumholz HM. Telemonitoring in Patients with Heart Failure. New England Journal Of Medicine 2010, 363: 2301-2309. PMID: 21080835, PMCID: PMC3237394, DOI: 10.1056/nejmoa1010029.Peer-Reviewed Original ResearchConceptsPrimary end pointUsual care groupSecondary end pointsHeart failureEnd pointHeart failure outcomesNumber of hospitalizationsTelephone-based interactive voice response systemUsual careAdverse eventsPatient's clinicianMedian ageCare groupLarge trialsInteractive voice response systemPatientsSmall studyVoice response systemNumber of daysHospitalizationReadmissionTelemonitoringSignificant differencesCliniciansDeathVariation in Recovery
Lichtman JH, Lorenze NP, D'Onofrio G, Spertus JA, Lindau ST, Morgan TM, Herrin J, Bueno H, Mattera JA, Ridker PM, Krumholz HM. Variation in Recovery. Circulation Cardiovascular Quality And Outcomes 2010, 3: 684-693. PMID: 21081748, PMCID: PMC3064946, DOI: 10.1161/circoutcomes.109.928713.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionYoung AMI patientsAMI patientsYoung womenHeart diseaseSex differencesExcess mortality riskIschemic heart diseaseRisk stratification modelPsychosocial risk factorsYears of ageQuality of careComparison cohortPrognostic factorsPrognostic importanceAMI populationMyocardial infarctionRisk factorsObservational studyMortality riskHigh riskAMI eventsPatientsAge accountWomenImpact 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 groupsTrends in Race-Based Differences in Door-to-Balloon Times
Curtis JP, Herrin J, Bratzler DW, Bradley EH, Krumholz HM. Trends in Race-Based Differences in Door-to-Balloon Times. JAMA Internal Medicine 2010, 170: 992-993. PMID: 20548015, DOI: 10.1001/archinternmed.2010.165.Peer-Reviewed Original Research
2009
National Efforts to Improve Door-to-Balloon Time Results From the Door-to-Balloon Alliance
Bradley EH, Nallamothu BK, Herrin J, Ting HH, Stern AF, Nembhard IM, Yuan CT, Green JC, Kline-Rogers E, Wang Y, Curtis JP, Webster TR, Masoudi FA, Fonarow GC, Brush JE, Krumholz HM. National Efforts to Improve Door-to-Balloon Time Results From the Door-to-Balloon Alliance. Journal Of The American College Of Cardiology 2009, 54: 2423-2429. PMID: 20082933, DOI: 10.1016/j.jacc.2009.11.003.Peer-Reviewed Original ResearchConceptsST-segment elevation myocardial infarctionD2B AllianceBalloon (D2B) AllianceHospital presentationD2B timeNational Cardiovascular Data Registry CathPCI RegistryPrimary percutaneous coronary interventionElevation myocardial infarctionPercutaneous coronary interventionLikelihood of patientsCathPCI RegistryCoronary interventionBalloon timeMyocardial infarctionAmerican CollegePatientsHospitalLongitudinal studyNational Quality CampaignOne-halfPresentationMinNational effortsInfarctionRegistry
2006
Effect of Door-to-Balloon Time on Mortality in Patients With ST-Segment Elevation Myocardial Infarction
McNamara RL, Wang Y, Herrin J, Curtis JP, Bradley EH, Magid DJ, Peterson ED, Blaney M, Frederick PD, Krumholz HM, Investigators N. Effect of Door-to-Balloon Time on Mortality in Patients With ST-Segment Elevation Myocardial Infarction. Journal Of The American College Of Cardiology 2006, 47: 2180-2186. PMID: 16750682, DOI: 10.1016/j.jacc.2005.12.072.Peer-Reviewed Original ResearchConceptsPrimary percutaneous coronary interventionST-segment elevation myocardial infarctionBalloon timeElevation myocardial infarctionSymptom onsetMyocardial infarctionHospital mortalityPatient characteristicsDoor timeEffect of doorPrimary PCIBaseline risk statusPercutaneous coronary interventionHigh-risk factorsSTEMI patientsCohort studyCoronary interventionLonger doorEntire cohortSubgroup analysisNational registryBaseline riskMortality riskPatientsMortalityThe Pre-Hospital Electrocardiogram and Time to Reperfusion in Patients With Acute Myocardial Infarction, 2000–2002 Findings From the National Registry of Myocardial Infarction-4
Curtis JP, Portnay EL, Wang Y, McNamara RL, Herrin J, Bradley EH, Magid DJ, Blaney ME, Canto JG, Krumholz HM. The Pre-Hospital Electrocardiogram and Time to Reperfusion in Patients With Acute Myocardial Infarction, 2000–2002 Findings From the National Registry of Myocardial Infarction-4. Journal Of The American College Of Cardiology 2006, 47: 1544-1552. PMID: 16630989, DOI: 10.1016/j.jacc.2005.10.077.Peer-Reviewed Original ResearchConceptsST-segment elevation myocardial infarctionPre-hospital electrocardiogramPrimary percutaneous coronary interventionMyocardial infarction 4Mean doorReperfusion timeHospital characteristicsNational registryTreatment of STEMILimited contemporary informationElevation myocardial infarctionPercutaneous coronary interventionBundle branch blockAcute reperfusionECG usePCI cohortReperfusion therapyBalloon timeCoronary interventionFibrinolytic therapyTherapy cohortMyocardial infarctionBranch blockNational guidelinesDrug time
2005
Sex, quality of care, and outcomes of elderly patients hospitalized with heart failure: Findings from the National Heart Failure Project
Rathore SS, Foody JM, Wang Y, Herrin J, Masoudi FA, Havranek EP, Ordin DL, Krumholz HM. Sex, quality of care, and outcomes of elderly patients hospitalized with heart failure: Findings from the National Heart Failure Project. American Heart Journal 2005, 149: 121-128. PMID: 15660043, PMCID: PMC2790278, DOI: 10.1016/j.ahj.2004.06.008.Peer-Reviewed Original ResearchConceptsAngiotensin receptor blockersNational Heart Failure ProjectLeft ventricular systolic functionQuality of careACE inhibitor prescriptionHeart Failure ProjectService Medicare patientsHeart failureInhibitor prescriptionMedicare patientsMultivariable hierarchical logistic regression modelsLower crude ratesPrescription of angiotensinLeft ventricular dysfunctionVentricular systolic functionYear of admissionHierarchical logistic regression modelsLower mortality rateLogistic regression modelsSex differencesLow overall rateMultivariable adjustmentVentricular dysfunctionElderly patientsReceptor blockers
2000
The quality of care for medicare patients with peptic ulcer disease
Marshall B, Stevens B, Cangialose C, Bratzler D, Ballard D, FitzGerald D, Etchason J, Herrin J, Culpepper-Morgan J, Ofman J, Elward K, Alexander W. The quality of care for medicare patients with peptic ulcer disease. The American Journal Of Gastroenterology 2000, 95: 106. PMID: 10638567, DOI: 10.1111/j.1572-0241.2000.01514.x.Peer-Reviewed Original ResearchConceptsPeptic ulcer diseaseQuality of careHospitalized Medicare beneficiariesUlcer diseaseNSAID useH. pyloriUlcer patientsUlcer riskMedicare beneficiariesNonsteroidal anti-inflammatory drug useAnti-inflammatory drug useH. pylori-positive patientsMedical record reviewPylori-positive patientsMedicare claim filesSample of inpatientsAppropriate therapyEndoscopic biopsyPeer review organizationsRecord reviewOutpatient recordsCare indicatorsPrincipal diagnosisMedicare patientsPatients