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
2018
Hospital Leadership Diversity and Strategies to Advance Health Equity
Herrin J, Harris KG, Spatz E, Cobbs-Lomax D, Allen S, León T. Hospital Leadership Diversity and Strategies to Advance Health Equity. The Joint Commission Journal On Quality And Patient Safety 2018, 44: 545-551. PMID: 30166038, DOI: 10.1016/j.jcjq.2018.03.008.Peer-Reviewed Original Research
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 beneficiariesHospitalPatients
2014
Community 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
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