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
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 riskMeasuring 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 outcomesHospital
2011
Quality 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
2008
The Effect of Health Care System Administrator Pay-for-Performance on Quality of Care
Herrin J, Nicewander D, Ballard DJ. The Effect of Health Care System Administrator Pay-for-Performance on Quality of Care. The Joint Commission Journal On Quality And Patient Safety 2008, 34: 646-654. PMID: 19025085, DOI: 10.1016/s1553-7250(08)34082-3.Peer-Reviewed Original ResearchConceptsBaylor Health Care SystemCore measuresJoint Commission core measuresAcute care facilitiesP4P programCalendar timeClinical quality indicatorsQuality improvement initiativesQuality of careHealth care systemRandom effects logistic modelHealth care qualityEligible patientsHealth care administratorsEffects logistic modelCare facilitiesVaccination performanceCare qualityCare systemHospitalJoint CommissionImprovement initiativesEffectiveness of payCare administratorsPatients