2022
Temporal Trends in Racial and Ethnic Disparities in Multimorbidity Prevalence in the United States, 1999-2018
Caraballo C, Herrin J, Mahajan S, Massey D, Lu Y, Ndumele CD, Drye EE, Krumholz HM. Temporal Trends in Racial and Ethnic Disparities in Multimorbidity Prevalence in the United States, 1999-2018. The American Journal Of Medicine 2022, 135: 1083-1092.e14. PMID: 35472394, DOI: 10.1016/j.amjmed.2022.04.010.Peer-Reviewed Original ResearchConceptsMultimorbidity prevalenceRace/ethnicityWhite individualsChronic conditionsBlack individualsSerial cross-sectional analysisCommon chronic conditionsRisk of morbidityPrevalence of multimorbidityPublic health interventionsCross-sectional analysisSelf-reported presenceSelf-reported raceLatino/HispanicMAIN OUTCOMEHealth interventionsEthnic disparitiesPrevalenceHealth inequalitiesStudy periodEarly lifeHispanic individualsTemporal trendsStudy sampleAsian individuals
2019
Population Impact of Generic Valsartan Recall
Jackevicius CA, Krumholz HM, Chong A, Koh M, Ozaki AF, Austin PC, Udell JA, Ko DT. Population Impact of Generic Valsartan Recall. Circulation 2019, 141: 411-413. PMID: 31707798, DOI: 10.1161/circulationaha.119.044494.Peer-Reviewed Original ResearchConceptsNational Ambulatory Care Reporting System databaseEmergency department visitsRegistered Persons DatabaseOntario Registered Persons DatabaseReporting System databaseHealth care systemDrug recallsSegmented regression analysisBaseline comorbiditiesOral medicationsDepartment visitsHospital admissionMedication useClinical outcomesDischarge diagnosisVital statusChronic conditionsHealthcare databasesHealth CanadaCare systemCanadian InstituteHealth informationPopulation impactPatientsRegression analysis
2018
Defining 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
2016
Risk-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
2011
Trends in Comorbidity, Disability, and Polypharmacy in Heart Failure
Wong CY, Chaudhry SI, Desai MM, Krumholz HM. Trends in Comorbidity, Disability, and Polypharmacy in Heart Failure. The American Journal Of Medicine 2011, 124: 136-143. PMID: 21295193, PMCID: PMC3237399, DOI: 10.1016/j.amjmed.2010.08.017.Peer-Reviewed Original ResearchConceptsProportion of patientsHeart failureSelf-reported heart failureHeart failure populationComorbid chronic conditionsNumber of comorbiditiesNutrition Examination SurveyCare of patientsPrevalence of disabilityPhenotype of patientsComplexity of patientsMedication useRecent patientsFunctional disabilityExamination SurveyFailure populationPhysical functionPrescription medicationsPatient preferencesChronic conditionsNational HealthPatient's abilityComorbiditiesPatientsOlder individuals
2006
The effect of age and chronic illness on life expectancy after a diagnosis of colorectal cancer: implications for screening.
Gross CP, McAvay GJ, Krumholz HM, Paltiel AD, Bhasin D, Tinetti ME. The effect of age and chronic illness on life expectancy after a diagnosis of colorectal cancer: implications for screening. Annals Of Internal Medicine 2006, 145: 646-53. PMID: 17088577, DOI: 10.7326/0003-4819-145-9-200611070-00006.Peer-Reviewed Original ResearchConceptsChronic illnessColorectal cancerChronic conditionsLife expectancyCancer stageEarly-stage colorectal cancerPopulation-based cancer registriesPatients 67 yearsRetrospective cohort studyStage I cancerAdministrative claims dataChronic condition groupsFinal study sampleYears of ageShort life expectancyCohort studyEffect of agePatient ageI cancerCancer RegistryCancer variesHealthy patientsIndividual patientsMedicare claimsAdministrative claims