2022
Trends in Racial and Ethnic Disparities in Barriers to Timely Medical Care Among Adults in the US, 1999 to 2018
Caraballo C, Ndumele CD, Roy B, Lu Y, Riley C, Herrin J, Krumholz HM. Trends in Racial and Ethnic Disparities in Barriers to Timely Medical Care Among Adults in the US, 1999 to 2018. JAMA Health Forum 2022, 3: e223856. PMID: 36306118, PMCID: PMC9617175, DOI: 10.1001/jamahealthforum.2022.3856.Peer-Reviewed Original ResearchConceptsTimely medical careSerial cross-sectional studyNational Health Interview SurveyCross-sectional studyHealth Interview SurveyMedical careLack of transportationEthnic disparitiesHispanics/LatinosWhite individualsEthnicity groupsInterview SurveyCost of careSelf-reported raceStudy cohortClinic hoursMAIN OUTCOMEMedical officesCarePrevalenceLatino individualsBlack individualsSignificant differencesSignificant increasePopulation groups
2020
Burden and Consequences of Financial Hardship From Medical Bills Among Nonelderly Adults With Diabetes Mellitus in the United States
Caraballo C, Valero-Elizondo J, Khera R, Mahajan S, Grandhi GR, Virani SS, Mszar R, Krumholz HM, Nasir K. Burden and Consequences of Financial Hardship From Medical Bills Among Nonelderly Adults With Diabetes Mellitus in the United States. Circulation Cardiovascular Quality And Outcomes 2020, 13: e006139. PMID: 32069093, DOI: 10.1161/circoutcomes.119.006139.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsBlack or African AmericanComorbidityCost of IllnessCross-Sectional StudiesDiabetes MellitusFemaleFinancing, PersonalFood SupplyHealth Care CostsHealth Care SurveysHealth ExpendituresHealth Services AccessibilityHumansIncomeMaleMedically UninsuredMiddle AgedPatient ComplianceRisk AssessmentRisk FactorsUnited StatesYoung AdultConceptsDiabetes mellitusMedical billsHigher oddsMedical careNational Health Interview Survey dataHealth Interview Survey dataCost-related medication nonadherenceHigher comorbidity burdenCost-related nonadherenceSelf-reported diagnosisNon-Hispanic blacksInterview Survey dataFinancial hardshipMedication nonadherenceMean ageNonmedical needsHigh prevalenceMellitusMultivariate analysisPocket expenditureFood insecurityNonadherenceHigh financial distressPatientsAdults
2018
The digital transformation of medicine can revitalize the patient-clinician relationship
Warraich HJ, Califf RM, Krumholz HM. The digital transformation of medicine can revitalize the patient-clinician relationship. Npj Digital Medicine 2018, 1: 49. PMID: 31304328, PMCID: PMC6550259, DOI: 10.1038/s41746-018-0060-2.Peer-Reviewed Original ResearchDigital transformationPatient-clinician relationshipData securityElectronic health recordsAnalytics technologiesSpeech recognitionComputer technologyInformation technologyMundane tasksHealth recordsHealthcare technologiesMajority of patientsDelivery of healthcareClinical care teamDigital phenotypingLives of patientsTechnologyPrior iterationsCare teamHealthcarePatientsNew analytic technologiesHealth professionalsMedical careClinicians
2015
Achieving best outcomes for patients with cardiovascular disease in China by enhancing the quality of medical care and establishing a learning health-care system
Jiang L, Krumholz HM, Li X, Li J, Hu S. Achieving best outcomes for patients with cardiovascular disease in China by enhancing the quality of medical care and establishing a learning health-care system. The Lancet 2015, 386: 1493-1505. PMID: 26466053, PMCID: PMC5323019, DOI: 10.1016/s0140-6736(15)00343-8.Peer-Reviewed Original Research
2010
Racial Disparities in Health Literacy and Access to Care Among Patients With Heart Failure
Chaudhry SI, Herrin J, Phillips C, Butler J, Mukerjhee S, Murillo J, Onwuanyi A, Seto TB, Spertus J, Krumholz HM. Racial Disparities in Health Literacy and Access to Care Among Patients With Heart Failure. Journal Of Cardiac Failure 2010, 17: 122-127. PMID: 21300301, PMCID: PMC3053061, DOI: 10.1016/j.cardfail.2010.09.016.Peer-Reviewed Original ResearchConceptsHeart failure patientsHealth literacyFailure patientsHeart failureInsurance statusWorse health literacyOutpatient medical careRacial differencesImportant racial differencesNoncardiac comorbiditiesUnadjusted analysesBlack raceCare existMedical homePatientsMedical careRacial disparitiesSocioeconomic statusStrong associationPotential mediatorsHealth carePoor accessCareSocial supportStatus
2006
Does Random Treatment Assignment Cause Harm to Research Participants?
Gross CP, Krumholz HM, Van Wye G, Emanuel EJ, Wendler D. Does Random Treatment Assignment Cause Harm to Research Participants? PLOS Medicine 2006, 3: e188. PMID: 16719548, PMCID: PMC1470665, DOI: 10.1371/journal.pmed.0030188.Peer-Reviewed Original ResearchConceptsClinical outcomesTreatment assignmentRCT participantsClinical trialsTrial participantsRandom treatment assignmentPrimary study outcomeMeeting eligibility criteriaImproved patient outcomesSimilar health statusSubstandard medical careBaseline characteristicsPatient groupPatient outcomesEligibility criteriaHealth outcomesHealth statusEligible manuscriptsMedical careSystematic reviewSame interventionClinical researchStudy outcomesOutcomesSignificant differencesThe Effect of a Psychosocial Intervention and Quality of Life After Acute Myocardial Infarction
de Leon C, Czajkowski SM, Freedland KE, Bang H, Powell LH, Wu C, Burg MM, DiLillo V, Ironson G, Krumholz HM, Mitchell P, Blumenthal JA. The Effect of a Psychosocial Intervention and Quality of Life After Acute Myocardial Infarction. Journal Of Cardiopulmonary Rehabilitation And Prevention 2006, 26: 9-13. PMID: 16617220, DOI: 10.1097/00008483-200601000-00002.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionQuality of lifeMyocardial infarctionPsychosocial interventionsClinical trialsOverall QOLUsual medical carePost-MI patientsSocial supportPatient clinical trialsImportant secondary outcomesCognitive behavioral therapySignificant treatment differencesSF12-MCSSF12-PCSClinic visitsSecondary outcomesClinical centersQOL outcomesPhysical functioningQOL benefitsEnhancing RecoveryQOL measuresPatientsMedical care
2001
Quality of Medical Care and Excess Mortality in Older Patients With Mental Disorders
Druss BG, Bradford WD, Rosenheck RA, Radford MJ, Krumholz HM. Quality of Medical Care and Excess Mortality in Older Patients With Mental Disorders. JAMA Psychiatry 2001, 58: 565-572. PMID: 11386985, DOI: 10.1001/archpsyc.58.6.565.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAge FactorsAgedAngiotensin-Converting Enzyme InhibitorsAspirinCluster AnalysisCohort StudiesComorbidityFemaleFollow-Up StudiesHospitalizationHumansMaleMedicareMental DisordersMyocardial InfarctionMyocardial ReperfusionProportional Hazards ModelsQuality of Health CareRisk FactorsSmoking CessationVentricular Function, LeftConceptsExcess mortalityMajor affective disordersMyocardial infarctionMedical careMental disordersAffective disordersMedicare patients 65 yearsCardiac risk factorsPatients 65 yearsAcute myocardial infarctionProportional hazards modelPatient's medical carePotential confounding factorsCessation counselingOlder patientsVentricular functionAdmission characteristicsNational cohortHospital characteristicsRisk factorsHazards modelEnzyme inhibitorsConfounding factorsMortalityInfarction