2024
Enrollment in High-Deductible Health Plans and Incident Diabetes Complications
McCoy R, Swarna K, Jiang D, Van Houten H, Chen J, Davis E, Herrin J. Enrollment in High-Deductible Health Plans and Incident Diabetes Complications. JAMA Network Open 2024, 7: e243394. PMID: 38517436, PMCID: PMC10960199, DOI: 10.1001/jamanetworkopen.2024.3394.Peer-Reviewed Original ResearchConceptsHigh-deductible health plansHealth plansChronic disease managementOdds of myocardial infarctionLower-extremity complicationsMixed-effects logistic regression modelsOut-of-pocket costsAssociated with increased oddsDiabetic complicationsInverse propensity score weightingLogistic regression modelsCardiovascular risk factorsEmployer-sponsored health plansDiabetes careRetrospective cohort studyUS adultsPropensity score weightingPotential selection biasMain OutcomesCohort studyBaseline yearIncident complicationsDisease managementMixed-effectsPotential harm
2022
Factors Associated With Disparities in Hospital Readmission Rates Among US Adults Dually Eligible for Medicare and Medicaid
Silvestri D, Goutos D, Lloren A, Zhou S, Zhou G, Farietta T, Charania S, Herrin J, Peltz A, Lin Z, Bernheim S. Factors Associated With Disparities in Hospital Readmission Rates Among US Adults Dually Eligible for Medicare and Medicaid. JAMA Health Forum 2022, 3: e214611. PMID: 35977231, PMCID: PMC8903116, DOI: 10.1001/jamahealthforum.2021.4611.Peer-Reviewed Original ResearchMeSH KeywordsAgedCohort StudiesHeart FailureHumansMedicaidMedicareMyocardial InfarctionPatient ReadmissionPneumoniaRetrospective StudiesUnited StatesConceptsAcute myocardial infarctionNon-DE patientsCommunity-level factorsHospital disparitiesHeart failureDE patientsReadmission ratesCohort studyUS hospitalsRisk-adjusted readmission ratesRetrospective cohort studyHospital readmission ratesLow-income older adultsHospital quality improvementEligible patientsHospital readmissionMedicaid eligibility policyCare transitionsMyocardial infarctionState Medicaid policiesWorse outcomesMedicare patientsMAIN OUTCOMEUS adultsPneumonia
2020
Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data
Li SX, Wang Y, Lama SD, Schwartz J, Herrin J, Mei H, Lin Z, Bernheim SM, Spivack S, Krumholz HM, Suter LG. Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data. BMC Health Services Research 2020, 20: 733. PMID: 32778098, PMCID: PMC7416804, DOI: 10.1186/s12913-020-05611-w.Peer-Reviewed Original ResearchRisk 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
Measuring hospital‐specific disparities by dual eligibility and race to reduce health inequities
Lloren A, Liu S, Herrin J, Lin Z, Zhou G, Wang Y, Kuang M, Zhou S, Farietta T, McCole K, Charania S, Sheares K, Bernheim S. Measuring hospital‐specific disparities by dual eligibility and race to reduce health inequities. Health Services Research 2019, 54: 243-254. PMID: 30666634, PMCID: PMC6341208, DOI: 10.1111/1475-6773.13108.Peer-Reviewed Original ResearchConceptsAfrican American racePatient case mixDual eligibilityReadmission ratesAmerican raceRisk-standardized outcomesHigher readmission ratesDual eligibility statusAcute myocardial infarctionAfrican American patientsRisk-standardized readmission ratesAcute care hospitalsQuality of careMedicaid Services methodologyHealth care qualityHospital disparitiesCare hospitalHeart failureInpatient admissionsMyocardial infarctionAmerican patientsMedicare patientsCase mixHealth outcomesHospitalEducation level and outcomes after acute myocardial infarction in China
Huo X, Khera R, Zhang L, Herrin J, Bai X, Wang Q, Lu Y, Nasir K, Hu S, Li J, Li X, Zheng X, Masoudi FA, Spertus JA, Krumholz HM, Jiang L. Education level and outcomes after acute myocardial infarction in China. Heart 2019, 105: 946. PMID: 30661037, PMCID: PMC6582708, DOI: 10.1136/heartjnl-2018-313752.Peer-Reviewed Original ResearchMeSH KeywordsAgedChinaEducational StatusFemaleHumansMaleMiddle AgedMyocardial InfarctionProspective StudiesConceptsMajor adverse cardiovascular eventsLow educational attainmentAcute myocardial infarction (AMI) outcomesAdverse cardiovascular eventsFuture healthcare interventionsMyocardial infarction outcomesCardiovascular risk factorsRisk-adjusted analysisAcute myocardial infarctionMedian participant ageCardiovascular eventsCause mortalityAdverse eventsConsecutive patientsAMI outcomesChina PatientUnadjusted analysesMyocardial infarctionRisk factorsChinese cohortHigh riskEducational attainmentEducational attainment groupsHealthcare interventionsPatients
2018
Hospital Characteristics Associated With Postdischarge Hospital Readmission, Observation, and Emergency Department Utilization
Horwitz LI, Wang Y, Altaf FK, Wang C, Lin Z, Liu S, Grady J, Bernheim SM, Desai NR, Venkatesh AK, Herrin J. Hospital Characteristics Associated With Postdischarge Hospital Readmission, Observation, and Emergency Department Utilization. Medical Care 2018, 56: 281-289. PMID: 29462075, PMCID: PMC6170884, DOI: 10.1097/mlr.0000000000000882.Peer-Reviewed Original ResearchMeSH KeywordsCross-Sectional StudiesEmergency Service, HospitalFee-for-Service PlansHeart FailureHospital AdministrationHospitals, PublicHumansMedicareMyocardial InfarctionNursing Staff, HospitalOwnershipPatient ReadmissionPneumoniaResidence CharacteristicsRetrospective StudiesSafety-net ProvidersUnited StatesConceptsAcute care utilizationAcute myocardial infarctionHeart failureCare utilizationAcute careMyocardial infarctionHospital characteristicsNet hospitalExcess daysPublic hospitalsNonsafety net hospitalsHigher readmission ratesEmergency department utilizationProportion of hospitalsAcute care hospitalsSafety-net hospitalService Medicare beneficiariesLarge urban hospitalMajor teaching hospitalType of hospitalCross-sectional analysisPostdischarge utilizationHospital dischargeHospital factorsReadmission rates
2016
Association Between Hospital Penalty Status Under the Hospital Readmission Reduction Program and Readmission Rates for Target and Nontarget Conditions
Desai NR, Ross JS, Kwon JY, Herrin J, Dharmarajan K, Bernheim SM, Krumholz HM, Horwitz LI. Association Between Hospital Penalty Status Under the Hospital Readmission Reduction Program and Readmission Rates for Target and Nontarget Conditions. JAMA 2016, 316: 2647-2656. PMID: 28027367, PMCID: PMC5599851, DOI: 10.1001/jama.2016.18533.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramAcute myocardial infarctionReadmission ratesReadmissions Reduction ProgramHeart failurePenalty statusNontarget conditionsMedicare feeMean readmission rateThirty-day riskRetrospective cohort studyUnplanned readmission rateReduction programsHRRP announcementHRRP implementationPenalized hospitalsCohort studyService patientsMyocardial infarctionMAIN OUTCOMEExcess readmissionsMedicare beneficiariesService beneficiariesHospitalPatientsShared 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
2014
Effectiveness of the Chest Pain Choice decision aid in emergency department patients with low-risk chest pain: study protocol for a multicenter randomized trial
Anderson RT, Montori VM, Shah ND, Ting HH, Pencille LJ, Demers M, Kline JA, Diercks DB, Hollander JE, Torres CA, Schaffer JT, Herrin J, Branda M, Leblanc A, Hess EP. Effectiveness of the Chest Pain Choice decision aid in emergency department patients with low-risk chest pain: study protocol for a multicenter randomized trial. Trials 2014, 15: 166. PMID: 24884807, PMCID: PMC4031497, DOI: 10.1186/1745-6215-15-166.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAngina, UnstableCardiology Service, HospitalClinical ProtocolsCommunicationConflict, PsychologicalDecision Support TechniquesEmergency Service, HospitalHealth Knowledge, Attitudes, PracticeHealth ResourcesHumansMyocardial InfarctionPatient Education as TopicPhysician-Patient RelationsPredictive Value of TestsPrognosisResearch DesignRisk AssessmentRisk FactorsSurveys and QuestionnairesTime FactorsUnited StatesVideo RecordingConceptsAdvanced cardiac testingAcute coronary syndromeDiverse emergency departmentsEmergency departmentCardiac testingHealthcare utilizationLow-risk chest pain patientsLow-risk chest painMajor adverse cardiac eventsMethods/designThisAdverse cardiac eventsLow-risk patientsProportion of patientsChest pain patientsCommon reason patientsEmergency department patientsPatient-clinician discussionsHospital billing recordsPatient-centered outcomesElectronic medical recordsAvailable management optionsDecision aidChest painCoronary syndromeUsual careCommunity Factors and Hospital Readmission Rates
Herrin J, St. Andre J, Kenward K, Joshi MS, Audet A, Hines SC. Community Factors and Hospital Readmission Rates. Health Services Research 2014, 50: 20-39. PMID: 24712374, PMCID: PMC4319869, DOI: 10.1111/1475-6773.12177.Peer-Reviewed Original ResearchConceptsHospital readmission ratesReadmission ratesAcute myocardial infarctionHeart failureRisk-standardized readmission ratesHigher readmission ratesCommunity factorsCounty characteristicsNursing Home CompareArea Resource FileMultivariable analysisMeasures of accessMyocardial infarctionCounty demographicsHospitalStrong associationStudy sampleResource FilePneumoniaInfarctionPatientsFactorsNational variationsCareRate
2012
Hospital strategies for reducing risk-standardized mortality rates in acute myocardial infarction.
Bradley EH, Curry LA, Spatz ES, Herrin J, Cherlin EJ, Curtis JP, Thompson JW, Ting HH, Wang Y, Krumholz HM. Hospital strategies for reducing risk-standardized mortality rates in acute myocardial infarction. Annals Of Internal Medicine 2012, 156: 618-26. PMID: 22547471, PMCID: PMC3386642, DOI: 10.7326/0003-4819-156-9-201205010-00003.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionLower risk-standardized mortality ratesMyocardial infarctionNurse championsMortality rateHospital strategiesHospital risk-standardized mortality ratesHospital-level factorsIntensive care unitAcute care hospitalsCardiac catheterization laboratoryCross-sectional surveyUnited Health FoundationCare hospitalCare unitCross-sectional designAMI casesAMI volumeCatheterization laboratoryHospital cliniciansHospitalMultivariate analysisPatientsHealth Foundation
2011
National Performance on Door-In to Door-Out Time Among Patients Transferred for Primary Percutaneous Coronary Intervention
Herrin J, Miller LE, Turkmani DF, Nsa W, Drye EE, Bernheim SM, Ling SM, Rapp MT, Han LF, Bratzler DW, Bradley EH, Nallamothu BK, Ting HH, Krumholz HM. National Performance on Door-In to Door-Out Time Among Patients Transferred for Primary Percutaneous Coronary Intervention. JAMA Internal Medicine 2011, 171: 1879-1886. PMID: 22123793, PMCID: PMC4312661, DOI: 10.1001/archinternmed.2011.481.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionDIDO timeCoronary interventionST-segment elevation acute myocardial infarctionMixed-effects multivariable modelElevation acute myocardial infarctionPrimary percutaneous coronary interventionMedian DIDO timeAcute myocardial infarctionFibrinolytic therapyPatient characteristicsMultivariable analysisEmergency departmentMyocardial infarctionHospital characteristicsMultivariable modelPatientsRural hospitalsHospitalMedicaid ServicesAge categoriesInterventionAfrican AmericansMinutesTreatment timeImprovements in Door-to-Balloon Time in the United States, 2005 to 2010
Krumholz HM, Herrin J, Miller LE, Drye EE, Ling SM, Han LF, Rapp MT, Bradley EH, Nallamothu BK, Nsa W, Bratzler DW, Curtis JP. Improvements in Door-to-Balloon Time in the United States, 2005 to 2010. Circulation 2011, 124: 1038-1045. PMID: 21859971, PMCID: PMC3598634, DOI: 10.1161/circulationaha.111.044107.Peer-Reviewed Original ResearchConceptsPrimary percutaneous coronary interventionPercutaneous coronary interventionBalloon timeCoronary interventionMedian timeST-segment elevation myocardial infarctionHigher median timeCharacteristics of patientsPercentage of patientsTimeliness of treatmentYears of ageRegistry studyMyocardial infarctionInpatient measuresPatientsHospital groupMedicaid ServicesCalendar yearInterventionMinutesMedianGroupYearsPercentageInfarctionQuality of Care in the US Territories
Nunez-Smith M, Bradley EH, Herrin J, Santana C, Curry LA, Normand SL, Krumholz HM. Quality of Care in the US Territories. JAMA Internal Medicine 2011, 171: 1528-1540. PMID: 21709184, PMCID: PMC3251926, DOI: 10.1001/archinternmed.2011.284.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionRisk-standardized readmission ratesRisk-standardized mortality ratesHeart failureMortality rateReadmission ratesProcess measuresHospital characteristicsHighest risk-standardized mortality ratesPrincipal discharge diagnosisQuality of careHealth care qualityDischarge diagnosisService patientsMyocardial infarctionTerritorial HospitalNonfederal hospitalsUS territoriesMedicare feePneumoniaHospitalCare qualityPatientsPerformance of hospitalsUS states
2010
Variation 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 accountWomenVariation in Hospital Mortality Rates for Patients With Acute Myocardial Infarction
Bradley EH, Herrin J, Curry L, Cherlin EJ, Wang Y, Webster TR, Drye EE, Normand SL, Krumholz HM. Variation in Hospital Mortality Rates for Patients With Acute Myocardial Infarction. The American Journal Of Cardiology 2010, 106: 1108-1112. PMID: 20920648, DOI: 10.1016/j.amjcard.2010.06.014.Peer-Reviewed Original ResearchMeSH KeywordsHospital MortalityHospitalsHumansMyocardial InfarctionRetrospective StudiesSurvival AnalysisUnited StatesConceptsAcute myocardial infarctionHospital characteristicsMyocardial infarctionMortality rateCross-sectional national studyHospital mortality rateHospital patient populationAmerican Hospital Association surveyAMI dischargeMean hospitalHospital outcomesCardiac facilitiesPatient populationAMI volumeMultivariable modelPatient profilesMedicare beneficiariesHospitalHospital bedsPatientsTeaching statusUnited States Census dataStates Census dataInfarctionStatus profileTrends 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
2007
Impact of Delay in Door-to-Needle Time on Mortality in Patients With ST-Segment Elevation Myocardial Infarction
McNamara RL, Herrin J, Wang Y, Curtis JP, Bradley EH, Magid DJ, Rathore SS, Nallamothu BK, Peterson ED, Blaney ME, Frederick P, Krumholz HM. Impact of Delay in Door-to-Needle Time on Mortality in Patients With ST-Segment Elevation Myocardial Infarction. The American Journal Of Cardiology 2007, 100: 1227-1232. PMID: 17920362, PMCID: PMC2715362, DOI: 10.1016/j.amjcard.2007.05.043.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overArrhythmias, CardiacCaliforniaCohort StudiesEmergency Service, HospitalEmergency TreatmentFemaleFibrinolytic AgentsHospital MortalityHumansMaleMedical RecordsMyocardial InfarctionOutcome Assessment, Health CareRegistriesRetrospective StudiesThrombolytic TherapyTime and Motion StudiesTime FactorsConceptsST-segment elevation myocardial infarctionElevation myocardial infarctionNeedle timeFibrinolytic therapyMyocardial infarctionHospital mortalitySymptom onsetOdds ratioReperfusion strategyAdjunctive medicationsHospital arrivalShorter doorTimely administrationNational registryRepresentative cohortPatientsMortalityInfarctionTherapyIndependent effectsCohortMinutesSmaller centersOnsetImpact of delay