2024
Measuring Equity in Readmission as a Distinct Assessment of Hospital Performance
Nash K, Weerahandi H, Yu H, Venkatesh A, Holaday L, Herrin J, Lin Z, Horwitz L, Ross J, Bernheim S. Measuring Equity in Readmission as a Distinct Assessment of Hospital Performance. JAMA 2024, 331: 111-123. PMID: 38193960, PMCID: PMC10777266, DOI: 10.1001/jama.2023.24874.Peer-Reviewed Original ResearchConceptsBlack patientsPatient populationHospital characteristicsHospital-wide readmission measureDual-eligible patientsHospital patient populationCross-sectional studyMeasures of hospitalHealth care qualityPatient demographicsReadmission ratesClinical outcomesPatient raceEligible hospitalsReadmissionMAIN OUTCOMEReadmission measuresMedicare dataUS hospitalsHospitalCare qualityPatientsMedicaid ServicesOutcomesLower percentage
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 ResearchConceptsAcute 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
2021
Association between 30-day readmission rates and health information technology capabilities in US hospitals
Elysee G, Yu H, Herrin J, Horwitz LI. Association between 30-day readmission rates and health information technology capabilities in US hospitals. Medicine 2021, 100: e24755. PMID: 33663091, PMCID: PMC7909153, DOI: 10.1097/md.0000000000024755.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesHealth IT capabilitiesLower readmission riskReadmission riskReadmission ratesHealth information technologyElectronic health recordsHospital dischargeRetrospective cross-sectional studyU.S. acute care hospitalsHealth recordsAcute care hospitalsCross-sectional studyFragmentation of careHospital-level risk-standardized readmission ratesOne-point increaseHospital Compare websiteHealth information technology capabilitiesCare hospitalOutcome measuresOutpatient providersUS hospitalsCare deliveryPatient accessClinical stakeholders
2020
Quality of informed consent documents among US. hospitals: a cross-sectional study
Spatz ES, Bao H, Herrin J, Desai V, Ramanan S, Lines L, Dendy R, Bernheim SM, Krumholz HM, Lin Z, Suter LG. Quality of informed consent documents among US. hospitals: a cross-sectional study. BMJ Open 2020, 10: e033299. PMID: 32434934, PMCID: PMC7247389, DOI: 10.1136/bmjopen-2019-033299.Peer-Reviewed Original ResearchConceptsInformed consent documentsHOSPITAL scoreUS hospitalsMean hospital scoresRetrospective observational studyConsent documentsCross-sectional studyEight-item instrumentService patientsElective proceduresProcedure typeObservational studySurgical proceduresMedicare feeHospitalHospital qualityMeasure scoresInformed consentMost hospitalsSpearman correlationScoresFace validityIndependent ratersOutcomesStakeholder feedback
2005
Quality Improvement Efforts and Hospital Performance
Bradley EH, Herrin J, Mattera JA, Holmboe ES, Wang Y, Frederick P, Roumanis SA, Radford MJ, Krumholz HM. Quality Improvement Efforts and Hospital Performance. Medical Care 2005, 43: 282-292. PMID: 15725985, DOI: 10.1097/00005650-200503000-00011.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAgedAged, 80 and overCross-Sectional StudiesDrug Utilization ReviewFemaleHospitalsHumansLeadershipMaleMedical Staff, HospitalMiddle AgedMyocardial InfarctionOrganizational CultureOutcome Assessment, Health CarePractice Patterns, Physicians'Quality Indicators, Health CareRegistriesTotal Quality ManagementUnited StatesConceptsAcute myocardial infarctionBeta-blocker prescription ratesQuality improvement effortsMyocardial infarctionBeta-blocker useHospital teaching statusCross-sectional studyQuality improvement interventionsPatient-level dataPhysician leadershipQuality of careHospital performanceHospital quality improvement effortsImprovement effortsQuality improvement strategiesPrescription ratesBorderline significanceNational registryAMI volumeUS hospitalsImprovement interventionsHospitalTeaching statusEvidence baseHigh/medium
2001
Utilization of technologies to reduce allogeneic blood transfusion in the United States
Hutchinson A, Fergusson D, Graham I, Laupacis A, Herrin J, Hillyer C. Utilization of technologies to reduce allogeneic blood transfusion in the United States. Transfusion Medicine 2001, 11: 79-85. PMID: 11299024, DOI: 10.1046/j.1365-3148.2001.00290.x.Peer-Reviewed Original ResearchConceptsPreoperative autologous donationAcute normovolemic haemodilutionAllogeneic blood transfusionOpen heart surgeryCell salvageEpsilon-aminocaproic acidBlood transfusionTranexamic acidUS hospitalsPeri-operative settingCross-sectional mail surveyRecombinant human erythropoietinHospital bed sizeCent of hospitalsNormovolemic haemodilutionAllogeneic bloodAutologous donationBlood supplyCommon reasonHuman erythropoietinHospitalLack of familiarityTransfusionSurgeryInfrequent use