2019
Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states
Roy B, Riley C, Herrin J, Spatz E, Hamar B, Kell KP, Rula EY, Krumholz H. Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states. BMJ Open 2019, 9: e030017. PMID: 31780588, PMCID: PMC6886944, DOI: 10.1136/bmjopen-2019-030017.Peer-Reviewed Original ResearchConceptsHospitalisation ratesZip codesPrimary care physician densityCross-sectional study SETTINGCancer-related admissionsRespiratory-related admissionsCross-sectional studyQuality of lifeRace/ethnicityCause hospitalisationSecondary outcomesPrimary outcomeHighest quintileUnnecessary hospitalisationAdmission ratesSD increaseHospitalisationLife benefitsPhysician densityStudy settingMain independent variableBeing IndexHospital bedsAdmissionGallup-Sharecare Well
2018
Admission diagnoses among patients with heart failure: Variation by ACO performance on a measure of risk-standardized acute admission rates
Benchetrit L, Zimmerman C, Bao H, Dharmarajan K, Altaf F, Herrin J, Lin Z, Krumholz HM, Drye EE, Lipska KJ, Spatz ES. Admission diagnoses among patients with heart failure: Variation by ACO performance on a measure of risk-standardized acute admission rates. American Heart Journal 2018, 207: 19-26. PMID: 30404047, DOI: 10.1016/j.ahj.2018.09.006.Peer-Reviewed Original ResearchMeSH KeywordsAccountable Care OrganizationsAgedAlgorithmsAnalysis of VarianceCardiovascular DiseasesComorbidityFemaleHeart FailureHospitalizationHumansInternational Classification of DiseasesMaleMedicare Part AMedicare Part BPatient AdmissionPatient DischargePatient-Centered CareSex DistributionTime FactorsUnited StatesConceptsHeart failureAccountable care organizationsMean admission rateAdmission ratesAdmission typeAcute admission ratesNoncardiovascular conditionsAdmission diagnosisCause admission ratesMedicare Shared Savings Program Accountable Care OrganizationsRate of hospitalizationPrincipal discharge diagnosisProportion of admissionsType of admissionNoncardiovascular causesHF admissionsHF patientsPerson yearsDischarge diagnosisPatient populationPatientsAdmissionKey quality metricDiagnosisSubstantial proportionDefining Multiple Chronic Conditions for Quality Measurement
Drye EE, Altaf FK, Lipska KJ, Spatz ES, Montague JA, Bao H, Parzynski CS, Ross JS, Bernheim SM, Krumholz HM, Lin Z. Defining Multiple Chronic Conditions for Quality Measurement. Medical Care 2018, 56: 193-201. PMID: 29271820, DOI: 10.1097/mlr.0000000000000853.Peer-Reviewed Original ResearchConceptsMultiple chronic conditionsChronic conditionsMedicare feeService beneficiariesMedicare Chronic Conditions WarehouseMCC cohortBroad cohortChronic Conditions WarehouseRisk-standardized ratesNational quality measuresUnplanned admissionsFinal cohortTotal admissionsAdmission riskAccountable care organizationsAdmission ratesOutcome measuresAdmissionCohortCohort conditionCare organizationsPatientsStakeholder inputNarrow cohortBeneficiaries
2017
ADMISSION TYPES AMONG PATIENTS WITH HEART FAILURE CARED FOR BY ACCOUNTABLE CARE ORGANIZATIONS: VARIATION BY PERFORMANCE ON A MEASURE OF RISK STANDARDIZED ACUTE ADMISSION RATES
Benchetrit L, Zimmerman C, Bao H, Dharmarajan K, Atlaf F, Herrin J, Lin Z, Krumholz H, Drye E, Lipska K, Spatz E. ADMISSION TYPES AMONG PATIENTS WITH HEART FAILURE CARED FOR BY ACCOUNTABLE CARE ORGANIZATIONS: VARIATION BY PERFORMANCE ON A MEASURE OF RISK STANDARDIZED ACUTE ADMISSION RATES. Journal Of The American College Of Cardiology 2017, 69: 762. DOI: 10.1016/s0735-1097(17)34151-7.Peer-Reviewed Original Research
2016
Hospital Phenotypes in the Management of Patients Admitted for Acute Myocardial Infarction
Xu X, Li SX, Lin H, Normand SL, Lagu T, Desai N, Duan M, Kroch EA, Krumholz HM. Hospital Phenotypes in the Management of Patients Admitted for Acute Myocardial Infarction. Medical Care 2016, 54: 929-936. PMID: 27261637, PMCID: PMC5305177, DOI: 10.1097/mlr.0000000000000571.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPercutaneous coronary interventionICU admission rateICU admissionMyocardial infarctionAdmission ratesProcedure ratesIntensive care unit admissionHigher ICU admissionLower ICU admissionCare unit admissionCoronary artery bypassPatients' clinical characteristicsManagement of patientsOpen heart surgeryRisk-standardized mortalityArtery bypassUnit admissionClinical characteristicsCoronary interventionReadmission ratesGroup of hospitalsHospital costsPractice patternsCABGDeclining Admission Rates And Thirty-Day Readmission Rates Positively Associated Even Though Patients Grew Sicker Over Time
Dharmarajan K, Qin L, Lin Z, Horwitz LI, Ross JS, Drye EE, Keshawarz A, Altaf F, Normand SL, Krumholz HM, Bernheim SM. Declining Admission Rates And Thirty-Day Readmission Rates Positively Associated Even Though Patients Grew Sicker Over Time. Health Affairs 2016, 35: 1294-1302. PMID: 27385247, DOI: 10.1377/hlthaff.2015.1614.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCenters for Medicare and Medicaid Services, U.S.Chronic DiseaseDatabases, FactualDisease ProgressionFemaleGeriatric AssessmentHospital MortalityHumansIncidenceLength of StayMaleOutcome Assessment, Health CarePatient AdmissionPatient ReadmissionRetrospective StudiesRisk AssessmentSeverity of Illness IndexTime FactorsUnited StatesRisk-standardized Acute Admission Rates Among Patients With Diabetes and Heart Failure as a Measure of Quality of Accountable Care Organizations
Spatz ES, Lipska KJ, Dai Y, Bao H, Lin Z, Parzynski CS, Altaf FK, Joyce EK, Montague JA, Ross JS, Bernheim SM, Krumholz HM, Drye EE. Risk-standardized Acute Admission Rates Among Patients With Diabetes and Heart Failure as a Measure of Quality of Accountable Care Organizations. Medical Care 2016, 54: 528-537. PMID: 26918404, PMCID: PMC5356461, DOI: 10.1097/mlr.0000000000000518.Peer-Reviewed Original ResearchConceptsHeart failure measuresAccountable care organizationsAcute admission ratesHeart failureAdmission ratesNational ratesUnplanned hospital admissionsHeart failure cohortRisk-adjustment variablesPopulation-based measuresCare organizationsOutcome measure developmentIntraclass correlation coefficientHospital admissionDiabetes measuresFailure cohortChronic conditionsMedicare feeDiabetesService beneficiariesPatientsMeet criteriaMeasures of qualitySocioeconomic statusPerformance categories
2015
Variation in US Hospital Emergency Department Admission Rates by Clinical Condition
Venkatesh AK, Dai Y, Ross JS, Schuur JD, Capp R, Krumholz HM. Variation in US Hospital Emergency Department Admission Rates by Clinical Condition. Medical Care 2015, 53: 237-244. PMID: 25397965, PMCID: PMC4858175, DOI: 10.1097/mlr.0000000000000261.Peer-Reviewed Original ResearchConceptsEmergency Department Admission RatesED admission ratesAdmission ratesClinical conditionsMood disordersChronic obstructive pulmonary diseaseNational Emergency Department SampleAdult ED visitsNonspecific chest painObstructive pulmonary diseaseSoft tissue infectionsUrinary tract infectionEmergency Department SampleClinical Classification SoftwareCross-sectional analysisChest painED visitsTract infectionsPulmonary diseaseSpearman correlation coefficientTissue infectionsHospitalization ratesUS hospitalsCondition-specific variationsHospital correlation
2014
Hospital variation in risk-standardized hospital admission rates from US EDs among adults
Capp R, Ross JS, Fox JP, Wang Y, Desai MM, Venkatesh AK, Krumholz HM. Hospital variation in risk-standardized hospital admission rates from US EDs among adults. The American Journal Of Emergency Medicine 2014, 32: 837-843. PMID: 24881514, DOI: 10.1016/j.ajem.2014.03.033.Peer-Reviewed Original ResearchConceptsHospital admission ratesEmergency departmentAdmission ratesClinical characteristicsED visitsHospital factorsClinical factorsAdult ED visitsUS emergency departmentsHospital teaching statusCross-sectional analysisPatient characteristicsHospital admissionHospital variationPatientsTeaching statusHospitalED dataVisitsRepresentative sampleAdultsRural locationsAdmissionFactorsNational variations
2012
293 National Pattern of Risk-Standardized Emergency Department Hospital Admission Rates for Adult Patients
Capp R, Fox J, Desai M, Wang Y, Krumholz H. 293 National Pattern of Risk-Standardized Emergency Department Hospital Admission Rates for Adult Patients. Annals Of Emergency Medicine 2012, 60: s104. DOI: 10.1016/j.annemergmed.2012.06.271.Peer-Reviewed Original Research
2002
Risk and Predictors of Stroke After Myocardial Infarction Among the Elderly
Lichtman JH, Krumholz HM, Wang Y, Radford MJ, Brass LM. Risk and Predictors of Stroke After Myocardial Infarction Among the Elderly. Circulation 2002, 105: 1082-1087. PMID: 11877359, DOI: 10.1161/hc0902.104708.Peer-Reviewed Original ResearchConceptsMonths of dischargeRisk of strokeAcute myocardial infarctionMyocardial infarctionIschemic strokeOlder patientsStroke admission ratesPatients 75 yearsPeripheral vascular diseasePredictors of strokeRisk stratification scoresRate of admissionSimple clinical factorsPrior strokeStroke admissionsClinical factorsHospital admissionIndependent predictorsStratification scoresAtrial fibrillationBlack racePrincipal diagnosisVascular diseaseAdmission ratesMedicare patients