2024
Long COVID Characteristics and Experience: A Descriptive Study from the Yale LISTEN Research Cohort
Sawano M, Wu Y, Shah R, Zhou T, Arun A, Khosla P, Kaleem S, Vashist A, Bhattacharjee B, Ding Q, Lu Y, Caraballo C, Warner F, Huang C, Herrin J, Putrino D, Michelsen T, Fisher L, Adinig C, Iwasaki A, Krumholz H. Long COVID Characteristics and Experience: A Descriptive Study from the Yale LISTEN Research Cohort. The American Journal Of Medicine 2024 PMID: 38663793, DOI: 10.1016/j.amjmed.2024.04.015.Peer-Reviewed Original ResearchExperiences of peopleHealth statusLong COVIDLower health statusNew-onset conditionsCommunity support servicesNon-Hispanic whitesArray of healthQuality of lifeVisual analogue scaleMental healthPsychological distressPsychological statusDescriptive studyHealthcare systemMedian scoreSupport servicesResearch cohortSocial isolationDemographic characteristicsAnalogue scaleImpact of long COVIDHealthFinancial stressParticipants
2020
Rates and Predictors of Patient Underreporting of Hospitalizations During Follow-Up After Acute Myocardial Infarction
Caraballo C, Khera R, Jones PG, Decker C, Schulz W, Spertus JA, Krumholz HM. Rates and Predictors of Patient Underreporting of Hospitalizations During Follow-Up After Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2020, 13: e006231. PMID: 32552061, PMCID: PMC9465954, DOI: 10.1161/circoutcomes.119.006231.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionHospitalization eventsMedical recordsLongitudinal multicenter cohort studyMulticenter cohort studyMedical record abstractionDifferent patient characteristicsHealth care eventsPatients' underreportingTRIUMPH registryAccuracy of reportingCohort studyPatient characteristicsRecord abstractionProspective studyClinical studiesClinical investigationHospitalizationPatientsCare eventsInfarctionEvent ratesParticipantsPredictors
2018
Accurate estimation of cardiovascular risk in a non-diabetic adult: detecting and correcting the error in the reported Framingham Risk Score for the Systolic Blood Pressure Intervention Trial population
Warner F, Dhruva SS, Ross JS, Dey P, Murugiah K, Krumholz HM. Accurate estimation of cardiovascular risk in a non-diabetic adult: detecting and correcting the error in the reported Framingham Risk Score for the Systolic Blood Pressure Intervention Trial population. BMJ Open 2018, 8: e021685. PMID: 30037874, PMCID: PMC6059296, DOI: 10.1136/bmjopen-2018-021685.Peer-Reviewed Original ResearchConceptsSystolic Blood Pressure Intervention TrialFramingham risk scoreCardiovascular riskRisk scoreStudy populationStudy participantsNon-diabetic adultsTotal study populationHigh-risk populationClinical trial dataClinical trial sitesTrial populationIntervention trialsRisk populationsNew England JournalIndependent investigatorsTrial dataSecondary analysisSPRINT trialSPRINT dataTrialsRiskScoresParticipantsPopulation
2002
Reporting the recruitment process in clinical trials: who are these patients and how did they get there?
Gross CP, Mallory R, Heiat A, Krumholz HM. Reporting the recruitment process in clinical trials: who are these patients and how did they get there? Annals Of Internal Medicine 2002, 137: 10-6. PMID: 12093240, DOI: 10.7326/0003-4819-137-1-200207020-00007.Peer-Reviewed Original ResearchConceptsNumber of personsMedian proportionPotential study participantsMedical journalsClinical trialsEligible personsHigh-impact medical journalsGeneral populationRCTsMajor medical journalsStudy participantsPatient recruitment processStudy sampleTrialsEligibilityPersonsExplicit reviewProportionEnrollment processParticipantsPatients
2001
A Qualitative Study of Increasing β-Blocker Use After Myocardial Infarction: Why Do Some Hospitals Succeed?
Bradley EH, Holmboe ES, Mattera JA, Roumanis SA, Radford MJ, Krumholz HM. A Qualitative Study of Increasing β-Blocker Use After Myocardial Infarction: Why Do Some Hospitals Succeed? JAMA 2001, 285: 2604-2611. PMID: 11368734, DOI: 10.1001/jama.285.20.2604.Peer-Reviewed Original ResearchConceptsBeta-blocker useAcute myocardial infarctionMyocardial infarctionΒ-blocker useStrong physician leadershipImprovement effortsUS hospitalsQualitative studyHospitalPatientsHospital sizeImprovement initiativesInfarctionKey physiciansGreater improvementPhysician leadershipCareAdministrative supportUse ratesPerformance improvement effortsData feedbackParticipantsGeographic regionsCliniciansMortality