2018
An empiric approach to identifying physician peer groups from claims data: An example from breast cancer care
Herrin J, Soulos PR, Xu X, Gross CP, Pollack CE. An empiric approach to identifying physician peer groups from claims data: An example from breast cancer care. Health Services Research 2018, 54: 44-51. PMID: 30488484, PMCID: PMC6338298, DOI: 10.1111/1475-6773.13095.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBreast NeoplasmsFemaleHumansInsurance Claim ReviewMedicareOutcome and Process Assessment, Health CarePeer ReviewUnited StatesConceptsPhysician peer groupsClaims dataEnd Results-MedicareBreast cancer careAdministrative claims dataHospital-based groupEmpiric approachCancer careBreast cancerHospital groupPatientsPatient volumePhysiciansEmpirical groupGroup reliabilityPhysician inclusionPercentGroupMedian overlapT1CancerPeer groupEpidemiology
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
2012
The Effectiveness of Implementing an Electronic Health Record on Diabetes Care and Outcomes
Herrin J, da Graca B, Nicewander D, Fullerton C, Aponte P, Stanek G, Cowling T, Collinsworth A, Fleming NS, Ballard DJ. The Effectiveness of Implementing an Electronic Health Record on Diabetes Care and Outcomes. Health Services Research 2012, 47: 1522-1540. PMID: 22250953, PMCID: PMC3401397, DOI: 10.1111/j.1475-6773.2011.01370.x.Peer-Reviewed Original ResearchConceptsPrimary care practicesBlood pressureDiabetes careOptimal careCare practicesDiastolic blood pressureSystolic blood pressureYears of ageElectronic health record implementationElectronic health recordsAspirin prescriptionUnexposed patientsAspirin useCare bundleInsulin usePatient ageLipid controlPrimary outcomeClinical outcomesLDL cholesterolSmoking cessationChart auditDiabetes measuresDiabetes patientsPatients
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
2008
Team Training and Stroke Rehabilitation Outcomes: A Cluster Randomized Trial
Strasser DC, Falconer JA, Stevens AB, Uomoto JM, Herrin J, Bowen SE, Burridge AB. Team Training and Stroke Rehabilitation Outcomes: A Cluster Randomized Trial. Archives Of Physical Medicine And Rehabilitation 2008, 89: 10-15. PMID: 18164324, DOI: 10.1016/j.apmr.2007.08.127.Peer-Reviewed Original ResearchMeSH KeywordsAgedFemaleHospitals, VeteransHumansLength of StayMaleMiddle AgedOutcome and Process Assessment, Health CarePatient Care TeamProblem SolvingRecovery of FunctionStroke RehabilitationUnited StatesUnited States Department of Veterans AffairsConceptsLength of stayStroke patientsCommunity dischargePatient outcomesVeterans Affairs Medical CenterImproved patient outcomesIntervention teamStroke rehabilitation outcomesSignificant differencesVideoconference consultationsStroke outcomeFunctional outcomeFIM instrumentRehabilitation unitFunctional improvementIntervention groupFIM gainMedical CenterStroke rehabilitationFunctional gainsRehabilitation outcomesControl groupClinical staffMotor itemsSecondary analysis
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
A Randomized Outpatient Trial of a Decision-Support Information Technology Tool
Apkon M, Mattera JA, Lin Z, Herrin J, Bradley EH, Carbone M, Holmboe ES, Gross CP, Selter JG, Rich AS, Krumholz HM. A Randomized Outpatient Trial of a Decision-Support Information Technology Tool. JAMA Internal Medicine 2005, 165: 2388-2394. PMID: 16287768, DOI: 10.1001/archinte.165.20.2388.Peer-Reviewed Original ResearchMeSH KeywordsAdultAmbulatory CareAttitude of Health PersonnelCost-Benefit AnalysisDecision Support Systems, ClinicalFemaleFloridaHealth ResourcesHospitals, MilitaryHumansKentuckyMaleMass ScreeningMultivariate AnalysisOutcome and Process Assessment, Health CarePatient SatisfactionPreventive MedicineQuality of Health CareConceptsProvider satisfactionAmbulatory clinic visitsUsual care patientsDays of enrollmentQuality process measuresQuality of careProportion of opportunitiesUsual careClinic visitsOutpatient trialSecondary outcomesPrimary outcomeAcute carePatient satisfactionIntervention groupHealth care opportunitiesPatientsClinical decisionCare opportunitiesPharmacy resourcesPreventive measuresProcess measuresCareMedical resourcesModest improvementQuality 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 ResearchMeSH KeywordsAgedDelivery of Health Care, IntegratedDiabetes MellitusFee-for-Service PlansFemaleHumansMaleMedicareOutcome and Process Assessment, Health CarePrimary Health CareQuality Indicators, Health CareRetrospective StudiesTexasConceptsHealth 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 markersSex, quality of care, and outcomes of elderly patients hospitalized with heart failure: Findings from the National Heart Failure Project
Rathore SS, Foody JM, Wang Y, Herrin J, Masoudi FA, Havranek EP, Ordin DL, Krumholz HM. Sex, quality of care, and outcomes of elderly patients hospitalized with heart failure: Findings from the National Heart Failure Project. American Heart Journal 2005, 149: 121-128. PMID: 15660043, PMCID: PMC2790278, DOI: 10.1016/j.ahj.2004.06.008.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAngiotensin-Converting Enzyme InhibitorsChi-Square DistributionCohort StudiesFemaleHeart FailureHospitalizationHumansLogistic ModelsMaleMedicareOutcome and Process Assessment, Health CareQuality of Health CareSex FactorsStroke VolumeUnited StatesConceptsAngiotensin receptor blockersNational Heart Failure ProjectLeft ventricular systolic functionQuality of careACE inhibitor prescriptionHeart Failure ProjectService Medicare patientsHeart failureInhibitor prescriptionMedicare patientsMultivariable hierarchical logistic regression modelsLower crude ratesPrescription of angiotensinLeft ventricular dysfunctionVentricular systolic functionYear of admissionHierarchical logistic regression modelsLower mortality rateLogistic regression modelsSex differencesLow overall rateMultivariable adjustmentVentricular dysfunctionElderly patientsReceptor blockers
2002
Blind Faith? The Effects of Promoting Active Sick Leave for Back Pain Patients
Scheel I, Hagen K, Herrin J, Carling C, Oxman A. Blind Faith? The Effects of Promoting Active Sick Leave for Back Pain Patients. Spine 2002, 27: 2734-2740. PMID: 12461401, DOI: 10.1097/00007632-200212010-00014.Peer-Reviewed Original ResearchMeSH KeywordsBack PainCluster AnalysisHumansNorwayOutcome and Process Assessment, Health CarePatient SatisfactionProgram EvaluationQuality of LifeRehabilitation, VocationalSick LeaveSurveys and QuestionnairesWorkloadConceptsLow back painProportion of patientsQuality of lifeSick leaveControl groupIntervention groupPassive intervention groupBack pain patientsPassive interventionMain outcome measuresSelf-reported qualityNational Insurance AdministrationLBP patientsPain patientsBack painPatient satisfactionGeneral practitionersMedian numberOutcome measuresBACKGROUND DATAIndividual patientsPatientsResponse rateHealth outcomesIntervention