2024
Calculation of Overall Hospital Quality Star Ratings With and Without Inclusion of the Peer Grouping Step
Gettel C, Bagshaw K, Qin L, Lin Z, Rothenberg E, Omotosho P, Goutos D, Herrin J, Suter L, Schreiber M, Fleisher L, Myers R, Spivack S, Venkatesh A. Calculation of Overall Hospital Quality Star Ratings With and Without Inclusion of the Peer Grouping Step. JAMA Network Open 2024, 7: e2411933. PMID: 38753326, PMCID: PMC11099678, DOI: 10.1001/jamanetworkopen.2024.11933.Peer-Reviewed Original ResearchMeSH KeywordsCenters for Medicare and Medicaid Services, U.S.Cross-Sectional StudiesHospitalsHumansQuality Indicators, Health CareQuality of Health CareUnited StatesConceptsCenters for Medicare & Medicaid ServicesCross-sectional studyHospital characteristicsHigher star ratingsStar ratingsOverall hospital qualityLowest-performing hospitalsOverall star ratingQuality star ratingsHospital star ratingsStar Ratings scoresHospital qualityHospital performanceStratified hospitalsMedicaid ServicesMain OutcomesFace validityPeer groupPeer group approachPrimary outcomePeer comparisonHospitalRating scoresPeerMeasurement group
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
Association of Do-Not-Resuscitate Patient Case Mix With Publicly Reported Risk-Standardized Hospital Mortality and Readmission Rates
Pollock BD, Herrin J, Neville MR, Dowdy SC, Franco P, Shah ND, Ting HH. Association of Do-Not-Resuscitate Patient Case Mix With Publicly Reported Risk-Standardized Hospital Mortality and Readmission Rates. JAMA Network Open 2020, 3: e2010383. PMID: 32662845, PMCID: PMC7361656, DOI: 10.1001/jamanetworkopen.2020.10383.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesChronic obstructive pulmonary diseaseAcute myocardial infarctionRevision diagnosis codesHeart failureCross-sectional studyDNR statusReadmission cohortInpatient encountersMortality cohortHighest quintileDiagnosis codesTenth Revision diagnosis codesNinth Revision diagnosis codesAcute care transfersStandard Analytical FilesObstructive pulmonary diseaseCMS Hospital Compare websitePatient-level dataHospital-level performanceHospital-level dataInternational Statistical ClassificationRelated Health ProblemsHospital Compare websiteHospital mortality
2015
Assessing Community Quality of Health Care
Herrin J, Kenward K, Joshi MS, Audet AM, Hines SJ. Assessing Community Quality of Health Care. Health Services Research 2015, 51: 98-116. PMID: 26096649, PMCID: PMC4722214, DOI: 10.1111/1475-6773.12322.Peer-Reviewed Original ResearchConceptsHospital service areasNursing homesHospital measuresHospital qualityHigh hospital qualityHealth system factorsAgreement of measuresHigh-quality careHigh-quality hospitalsHome health agenciesDimensions of careComposite quality measureGeneral practitionersCare settingsNH careHealth agenciesQuality hospitalsHospitalCareHealth careSystem factorsAvailable quality measuresQuality measuresHigh differSetting
2011
How Good Are the Data? Feasible Approach to Validation of Metrics of Quality Derived From an Outpatient Electronic Health Record
Benin AL, Fenick A, Herrin J, Vitkauskas G, Chen J, Brandt C. How Good Are the Data? Feasible Approach to Validation of Metrics of Quality Derived From an Outpatient Electronic Health Record. American Journal Of Medical Quality 2011, 26: 441-451. PMID: 21926280, DOI: 10.1177/1062860611403136.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAmbulatory CareChildChild, PreschoolGuideline AdherenceHumansInfantMass ScreeningMedical Records Systems, ComputerizedOutcome and Process Assessment, Health CareOutpatientsPatient SafetyPediatricsPractice Guidelines as TopicQuality Indicators, Health CareQuality of Health CareReproducibility of Results
2006
Hospital Quality for Acute Myocardial Infarction: Correlation Among Process Measures and Relationship With Short-term Mortality
Bradley EH, Herrin J, Elbel B, McNamara RL, Magid DJ, Nallamothu BK, Wang Y, Normand SL, Spertus JA, Krumholz HM. Hospital Quality for Acute Myocardial Infarction: Correlation Among Process Measures and Relationship With Short-term Mortality. JAMA 2006, 296: 72-78. PMID: 16820549, DOI: 10.1001/jama.296.1.72.Peer-Reviewed Original ResearchMeSH KeywordsAgedCenters for Medicare and Medicaid Services, U.S.Cross-Sectional StudiesHospital MortalityHospitalsHumansJoint Commission on Accreditation of Healthcare OrganizationsMedicareMyocardial InfarctionOutcome and Process Assessment, Health CareQuality Indicators, Health CareRegistriesRisk AssessmentUnited StatesConceptsAcute myocardial infarctionMortality rateMyocardial infarctionProcess measuresAngiotensin-converting enzyme inhibitor useRisk-standardized mortality ratesShort-term mortality rateBeta-blocker useEnzyme inhibitor useHospital performanceHospital-level variationShort-term mortalityQuality process measuresAspirin useCessation counselingHospital outcomesInhibitor useAMI patientsNational registryMedication measuresTherapy measuresHospital qualityInfarctionMedicaid ServicesJoint Commission
2005
Quality of Care of Medicare Patients With Diabetes in a Metropolitan Fee-for-Service Primary Care Integrated Delivery System
Hollander P, Nicewander D, Couch C, Winter D, Herrin J, Haydar Z, Ballard D. Quality of Care of Medicare Patients With Diabetes in a Metropolitan Fee-for-Service Primary Care Integrated Delivery System. American Journal Of Medical Quality 2005, 20: 344-352. PMID: 16280398, DOI: 10.1177/1062860605280205.Peer-Reviewed Original ResearchConceptsHealth maintenance organizationVeterans AffairsStaff-model health maintenance organizationLow-density lipoprotein cholesterolAmerican Diabetes Association standardsClosed-panel health maintenance organizationPrimary care group practiceAnnual eye examinationsEye examination ratesQuality of careChart abstractionFoot examinationLipoprotein cholesterolBlood pressureEye examinationGlycemic controlScreening ratesExamination rateMedicare patientsMedicare claimsPatientsMaintenance organizationIntegrated delivery systemsGroup practiceControl markersQuality 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