2024
Incorporating Medicare Advantage Admissions Into the CMS Hospital-Wide Readmission Measure
Kyanko K, Sahay K, Wang Y, Li S, Schreiber M, Hager M, Myers R, Johnson W, Zhang J, Krumholz H, Suter L, Triche E. Incorporating Medicare Advantage Admissions Into the CMS Hospital-Wide Readmission Measure. JAMA Network Open 2024, 7: e2414431. PMID: 38829614, PMCID: PMC11148674, DOI: 10.1001/jamanetworkopen.2024.14431.Peer-Reviewed Original ResearchConceptsCenters for Medicare & Medicaid ServicesSpecialty subgroupsPerformance quintileMedicare AdvantageReadmission ratesRisk-standardized readmission ratesHospital-wide readmission measureHospital outcome measuresTest-retest reliabilityRisk-adjustment variablesMeasurement reliabilityAdministrative claims dataReadmission measuresImprove measurement reliabilityIntegrated data repositoryMA beneficiariesQuintile rankingsMedicare beneficiariesMedicaid ServicesAll-causePublic reportingStudy assessed differencesClaims dataOutcome measuresMA cohort
2023
Multinational patterns of second line antihyperglycaemic drug initiation across cardiovascular risk groups: federated pharmacoepidemiological evaluation in LEGEND-T2DM
Khera R, Dhingra L, Aminorroaya A, Li K, Zhou J, Arshad F, Blacketer C, Bowring M, Bu F, Cook M, Dorr D, Duarte-Salles T, DuVall S, Falconer T, French T, Hanchrow E, Horban S, Lau W, Li J, Liu Y, Lu Y, Man K, Matheny M, Mathioudakis N, McLemore M, Minty E, Morales D, Nagy P, Nishimura A, Ostropolets A, Pistillo A, Posada J, Pratt N, Reyes C, Ross J, Seager S, Shah N, Simon K, Wan E, Yang J, Yin C, You S, Schuemie M, Ryan P, Hripcsak G, Krumholz H, Suchard M. Multinational patterns of second line antihyperglycaemic drug initiation across cardiovascular risk groups: federated pharmacoepidemiological evaluation in LEGEND-T2DM. BMJ Medicine 2023, 2: e000651. PMID: 37829182, PMCID: PMC10565313, DOI: 10.1136/bmjmed-2023-000651.Peer-Reviewed Original ResearchType 2 diabetes mellitusSecond-line treatmentCardiovascular risk groupsDiabetes mellitusCardiovascular diseaseAntihyperglycaemic drugsLine treatmentRisk groupsObservational Health Data SciencesGlucagon-like peptide-1 receptor agonistsElectronic health recordsSodium-glucose cotransporter 2 inhibitorsCalendar year trendsPeptide-1 receptor agonistsUS databaseOutcomes of patientsCotransporter 2 inhibitorsAdministrative claims databaseSecond-line drugsHealth recordsSodium-glucose cotransporter-2 inhibitorsMedication useMetformin monotherapyGuideline recommendationsOutcome measures
2022
Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform
Mori M, Dhruva S, Geirsson A, Krumholz H. Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform. Npj Digital Medicine 2022, 5: 192. PMID: 36564550, PMCID: PMC9789027, DOI: 10.1038/s41746-022-00736-0.Peer-Reviewed Original ResearchPatient-reported outcome measuresCardiac surgeryProspective cohort studyPROM data collectionPostoperative complicationsCohort studyPostoperative recoveryTertiary centerPatients' perceptionsOutcome measuresClinical practicePatientsSurgeryRecovery progressionRecovery trajectoriesTrajectory membershipComplicationsOverall recoveryDaysAnxiety trajectoriesRecoveryProgressionCare
2021
Incorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models
Triche EW, Xin X, Stackland S, Purvis D, Harris A, Yu H, Grady JN, Li SX, Bernheim SM, Krumholz HM, Poyer J, Dorsey K. Incorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models. JAMA Network Open 2021, 4: e218512. PMID: 33978722, PMCID: PMC8116982, DOI: 10.1001/jamanetworkopen.2021.8512.Peer-Reviewed Original ResearchConceptsPOA indicatorRisk factorsOutcome measuresQuality outcome measuresRisk-adjustment modelsClaims dataAdmission indicatorsPatient risk factorsAcute myocardial infarctionPatient-level outcomesAdministrative claims dataQuality improvement studyClaims-based measuresComparative effectiveness studiesPatient claims dataInternational Statistical ClassificationMortality outcome measuresRelated Health ProblemsHospital quality measuresRisk model performanceHospital stayIndex admissionCare algorithmHeart failureMortality outcomes
2020
Geographic Variation in Process and Outcomes of Care for Patients With Acute Myocardial Infarction in China From 2001 to 2015
Zhong Q, Gao Y, Zheng X, Chen J, Masoudi FA, Lu Y, Feng Y, Hu S, Zhang Q, Huang C, Wang Y, Krumholz HM, Li X, Zhou Y. Geographic Variation in Process and Outcomes of Care for Patients With Acute Myocardial Infarction in China From 2001 to 2015. JAMA Network Open 2020, 3: e2021182. PMID: 33095248, PMCID: PMC7584924, DOI: 10.1001/jamanetworkopen.2020.21182.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionProcess of careHospital mortalityMyocardial infarctionOdds ratioAngiotensin receptor blockersCross-sectional studyOutcomes of careReceptor blockersReperfusion therapyPatient characteristicsTherapy useCare measuresPatient hospitalizationIdeal patientOutcome measuresMAIN OUTCOMEΒ-blockersAMI managementPatientsEnzyme inhibitorsSignificant geographic variationMortalityCareHospitalizationAssociation Between Subsequent Hospitalizations and Recurrent Acute Myocardial Infarction Within 1 Year After Acute Myocardial Infarction
Wang Y, Leifheit E, Normand S, Krumholz HM. Association Between Subsequent Hospitalizations and Recurrent Acute Myocardial Infarction Within 1 Year After Acute Myocardial Infarction. Journal Of The American Heart Association 2020, 9: e014907. PMID: 32172654, PMCID: PMC7335517, DOI: 10.1161/jaha.119.014907.Peer-Reviewed Original ResearchConceptsRecurrent acute myocardial infarctionAcute myocardial infarctionIndex acute myocardial infarctionClinical Classification SoftwareMyocardial infarctionDisease categoriesRisk of deathCox regression modelPost-acute careAcute care hospitalsOccurrence of hospitalizationLow recurrence riskUnplanned rehospitalizationSubsequent hospitalizationBackground PatientsHazard ratioPatient characteristicsSecondary preventionMedian timeService patientsChronic diseasesPatient riskOutcome measuresRehospitalizationHigh risk
2019
Characterizing Patient‐Centered Postoperative Recovery After Adult Cardiac Surgery: A Systematic Review
Mori M, Angraal S, Chaudhry SI, Suter LG, Geirsson A, Wallach JD, Krumholz HM. Characterizing Patient‐Centered Postoperative Recovery After Adult Cardiac Surgery: A Systematic Review. Journal Of The American Heart Association 2019, 8: e013546. PMID: 31617435, PMCID: PMC6898802, DOI: 10.1161/jaha.119.013546.Peer-Reviewed Original ResearchConceptsPatient-reported outcome measuresPostoperative patient-reported outcome measuresAdult cardiac surgeryPostoperative recoveryOutcome measuresCardiac surgerySystematic reviewCoronary artery bypass graftSingle-center settingArtery bypass graftQuality of evidenceWeb of ScienceNociceptive symptomsDiversity of patientsLess comorbidityAdult patientsBypass graftPhysical functionPostacute careElective casesInclusion criteriaDaily livingPatientsStudy participantsCognitive functionDo pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study
Riley C, Roy B, Herrin J, Spatz E, Silvestri MT, Arora A, Kell KP, Rula EY, Krumholz HM. Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study. BMJ Open 2019, 9: e024143. PMID: 31048427, PMCID: PMC6501974, DOI: 10.1136/bmjopen-2018-024143.Peer-Reviewed Original ResearchConceptsPreterm birthCross-sectional studyIndividual risk factorsPreterm deliveryRisk factorsPregnant womenLower riskMaternal risk factorsPrimary outcome measurePrimary independent variableGestational ageMaternal riskOutcome measuresUS birthsHealth StatisticsBirth dataBeing IndexWomenBirthGallup-Sharecare WellLower ratesQuintileRiskDeliveryPopulation
2018
Age of Data at the Time of Publication of Contemporary Clinical Trials
Welsh J, Lu Y, Dhruva SS, Bikdeli B, Desai NR, Benchetrit L, Zimmerman CO, Mu L, Ross JS, Krumholz HM. Age of Data at the Time of Publication of Contemporary Clinical Trials. JAMA Network Open 2018, 1: e181065-e181065. PMID: 30646100, PMCID: PMC6324269, DOI: 10.1001/jamanetworkopen.2018.1065.Peer-Reviewed Original ResearchConceptsClinical trialsFinal data collectionParticipant enrollmentInternal medicineMultivariable linear regression analysisFirst participant enrollmentPrimary end pointMultivariable regression analysisContemporary clinical trialsClinical trial dataJAMA Internal MedicineRegression analysisCross-sectional analysisTime of publicationMedian timeTrial characteristicsOutcome measuresMAIN OUTCOMENew England JournalClinical practiceLinear regression analysisTrial dataEnd pointTrial resultsTrialsDefining 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
Hospital Performance on Percutaneous Coronary Intervention Process and Outcomes Measures
Chui PW, Parzynski CS, Nallamothu BK, Masoudi FA, Krumholz HM, Curtis JP. Hospital Performance on Percutaneous Coronary Intervention Process and Outcomes Measures. Journal Of The American Heart Association 2017, 6: e004276. PMID: 28446493, PMCID: PMC5524055, DOI: 10.1161/jaha.116.004276.Peer-Reviewed Original ResearchMeSH KeywordsCardiac RehabilitationCoronary DiseaseCross-Sectional StudiesHealthcare DisparitiesHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMedicarePatient DischargePatient ReadmissionPercutaneous Coronary InterventionPlatelet Aggregation InhibitorsProcess Assessment, Health CareQuality ImprovementQuality Indicators, Health CareReferral and ConsultationRegistriesRisk FactorsTime FactorsTime-to-TreatmentTreatment OutcomeUnited StatesConceptsProcess measuresReadmission ratesOutcome measuresNational Cardiovascular Data Registry CathPCI RegistryHospital performancePercutaneous coronary interventionSpecific process measuresRisk-standardized mortalityPCI patientsCathPCI RegistryCoronary interventionHospital variationOutcome ratesHospital qualityPhysician ConsortiumMortalitySmall percentageWeak correlationAssociationIntervention processPatients
2015
Differences in Colonoscopy Quality Among Facilities: Development of a Post-Colonoscopy Risk-Standardized Rate of Unplanned Hospital Visits
Ranasinghe I, Parzynski CS, Searfoss R, Montague J, Lin Z, Allen J, Vender R, Bhat K, Ross JS, Bernheim S, Krumholz HM, Drye EE. Differences in Colonoscopy Quality Among Facilities: Development of a Post-Colonoscopy Risk-Standardized Rate of Unplanned Hospital Visits. Gastroenterology 2015, 150: 103-113. PMID: 26404952, DOI: 10.1053/j.gastro.2015.09.009.Peer-Reviewed Original ResearchConceptsUnplanned hospital visitsDay of colonoscopyHospital visitsOutpatient facilitiesColonoscopy qualityHealthcare costsRisk-standardized ratesHospital outpatient departmentsUtilization Project dataAmbulatory surgery centersLogistic regression modelsHierarchical logistic regressionQuality improvement effortsPrior arrhythmiaAbdominal painElectrolyte imbalanceOutpatient departmentSurgery centersCommon causeHospital careOutcome measuresPsychiatric disordersColonoscopyUtilization ProjectPatient choiceDevelopment of a Hospital Outcome Measure Intended for Use With Electronic Health Records
McNamara RL, Wang Y, Partovian C, Montague J, Mody P, Eddy E, Krumholz HM, Bernheim SM. Development of a Hospital Outcome Measure Intended for Use With Electronic Health Records. Medical Care 2015, 53: 818-826. PMID: 26225445, DOI: 10.1097/mlr.0000000000000402.Peer-Reviewed Original ResearchConceptsElectronic health recordsOutcome measuresClinical dataMortality rateClinical practiceFuture quality improvement measuresRisk-standardized mortality ratesHospital risk-standardized mortality ratesLow-mortality hospitalsHealth recordsSystolic blood pressureOdds of mortalityClinical registry dataAcute myocardial infarctionHigh-mortality hospitalsHospital outcome measuresEHR dataFinal risk modelCurrent clinical practiceStandard clinical practiceFirst outcome measureNational Quality ForumCurrent electronic health recordsQuality improvement measuresChart abstraction
2014
Predictors of clinical trial data sharing: exploratory analysis of a cross-sectional survey
Rathi VK, Strait KM, Gross CP, Hrynaszkiewicz I, Joffe S, Krumholz HM, Dzara K, Ross JS. Predictors of clinical trial data sharing: exploratory analysis of a cross-sectional survey. Trials 2014, 15: 384. PMID: 25277128, PMCID: PMC4192345, DOI: 10.1186/1745-6215-15-384.Peer-Reviewed Original ResearchMeSH KeywordsAccess to InformationAgedAttitude of Health PersonnelChi-Square DistributionClinical Trials as TopicCooperative BehaviorCross-Sectional StudiesDatabases, FactualFemaleHealth Knowledge, Attitudes, PracticeHumansInformation DisseminationInternetMaleMiddle AgedPerceptionRegistriesResearch PersonnelSurveys and QuestionnairesConceptsTrial funding sourceExact testMain outcome measuresFisher's exact testCross-sectional surveyChi-square testClinical trialsTrial characteristicsOutcome measuresGeneral medical journalsClinical trialistsWeb-based surveyTrialistsExploratory analysisBackgroundA numberStatistical significanceSignificant differencesExternal investigatorsClinical trial data sharingTrialsMedical journalsPharmaceutical companiesFunding sourcesIndustry fundingPotential respondentsNational Patterns of Risk-Standardized Mortality and Readmission After Hospitalization for Acute Myocardial Infarction, Heart Failure, and Pneumonia: Update on Publicly Reported Outcomes Measures Based on the 2013 Release
Suter LG, Li SX, Grady JN, Lin Z, Wang Y, Bhat KR, Turkmani D, Spivack SB, Lindenauer PK, Merrill AR, Drye EE, Krumholz HM, Bernheim SM. National Patterns of Risk-Standardized Mortality and Readmission After Hospitalization for Acute Myocardial Infarction, Heart Failure, and Pneumonia: Update on Publicly Reported Outcomes Measures Based on the 2013 Release. Journal Of General Internal Medicine 2014, 29: 1333-1340. PMID: 24825244, PMCID: PMC4175654, DOI: 10.1007/s11606-014-2862-5.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionHeart failurePneumonia mortalityMyocardial infarctionMedian risk-standardized mortality rateHospital-level mortalityUnplanned readmission ratePrincipal discharge diagnosisHospital performanceRisk-Standardized MortalityHF mortalityReadmission resultsReadmission ratesDischarge diagnosisOutcome measuresAMI mortalityReadmission measuresPneumoniaMortality rateService MedicareHierarchical logistic modelsMortalityMedicaid ServicesReadmissionImpact of the ENHANCE Trial on the use of ezetimibe in the United States and Canada
Lu L, Krumholz HM, Tu JV, Ross JS, Ko DT, Jackevicius CA. Impact of the ENHANCE Trial on the use of ezetimibe in the United States and Canada. American Heart Journal 2014, 167: 683-689. PMID: 24766978, PMCID: PMC4215424, DOI: 10.1016/j.ahj.2014.01.014.Peer-Reviewed Original ResearchConceptsUse of ezetimibeENHANCE trialEzetimibe useProgression of atherosclerosisMain outcome measuresAtherosclerosis regression trialsMonthly numberOutcome measuresRegression trialsEzetimibeIMS HealthCommon evidence baseEvidence baseTrialsUnited StatesUtilization patternsFurther investigationDifferent utilization patternsPopulationDifferent patternsUse trendsAtherosclerosisSimvastatinProgressionUsual Source of Care and Outcomes Following Acute Myocardial Infarction
Spatz ES, Sheth SD, Gosch KL, Desai MM, Spertus JA, Krumholz HM, Ross JS. Usual Source of Care and Outcomes Following Acute Myocardial Infarction. Journal Of General Internal Medicine 2014, 29: 862-869. PMID: 24553957, PMCID: PMC4026492, DOI: 10.1007/s11606-014-2794-0.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionUsual sourceMyocardial infarctionMortality rateBaseline risk factorsAcute clinical eventsMain outcome measuresAMI severityAMI patientsMultivariable analysisKey ResultsAmongClinical eventsSocio-demographic characteristicsRisk factorsOutcome measuresReadmissionHigh mortalityPatientsMortalityCareMonthsInfarctionAdultsOutcomesAssociationRisk Adjustment of Ischemic Stroke Outcomes for Comparing Hospital Performance
Katzan IL, Spertus J, Bettger JP, Bravata DM, Reeves MJ, Smith EE, Bushnell C, Higashida RT, Hinchey JA, Holloway RG, Howard G, King RB, Krumholz HM, Lutz BJ, Yeh RW. Risk Adjustment of Ischemic Stroke Outcomes for Comparing Hospital Performance. Stroke 2014, 45: 918-944. PMID: 24457296, DOI: 10.1161/01.str.0000441948.35804.77.Peer-Reviewed Original ResearchMeSH KeywordsAmerican Heart AssociationBrain IschemiaHospitalsHumansModels, OrganizationalOutcome Assessment, Health CarePatient ReadmissionPredictive Value of TestsPrognosisQuality of Health CareRecovery of FunctionReproducibility of ResultsRisk AdjustmentSample SizeStrokeTreatment OutcomeUnited StatesConceptsIschemic stroke outcomeRisk-adjustment modelsStroke severityStroke outcomeStroke careOutcome measuresHospital levelRisk-adjusted outcome comparisonsRisk adjustmentHospital-level outcomesHospital performanceVascular risk factorsImportant prognostic factorIschemic stroke careIndividual patient levelStroke severity measuresRisk-adjusted modelsHospital-level performanceQuality of strokeComparison of qualityIschemic strokePrognostic factorsComorbid conditionsFunctional outcomeMajor disability
2012
Hospitalist utilization and hospital performance on 6 publicly reported patient outcomes
Goodrich K, Krumholz HM, Conway PH, Lindenauer P, Auerbach AD. Hospitalist utilization and hospital performance on 6 publicly reported patient outcomes. Journal Of Hospital Medicine 2012, 7: 482-488. PMID: 22689448, PMCID: PMC3531241, DOI: 10.1002/jhm.1943.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPercentage of patientsHeart failurePatient outcomesOutcome measuresPresence of hospitalistsReadmission measuresCongestive heart failureCross-sectional studyMultivariable regression modelsComparison of hospitalQuality outcome measuresReadmission ratesIndependent predictorsMyocardial infarctionInpatient careHospitalist serviceHospitalist useMedical conditionsHospital personnelHospitalist programHospitalistsHospitalExpectation of improvementOutcomesRegional Associations Between Medicare Advantage Penetration and Administrative Claims-based Measures of Hospital Outcomes
Kulkarni VT, Shah SJ, Bernheim SM, Wang Y, Normand SL, Han LF, Rapp MT, Drye EE, Krumholz HM. Regional Associations Between Medicare Advantage Penetration and Administrative Claims-based Measures of Hospital Outcomes. Medical Care 2012, 50: 406-409. PMID: 22456113, PMCID: PMC5459365, DOI: 10.1097/mlr.0b013e318245a0f9.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionRisk-standardized readmission ratesHospital outcomesReadmission ratesHeart failureMyocardial infarctionPopulation riskOutcome measuresMortality rateMedicare Advantage patientsHospital referral region levelHospital outcome measuresClaims-based measuresMedicaid Services measuresFFS patientsAdvantage patientsRetrospective studyService patientsMedicare feeMedicare Advantage penetrationPatientsMedicaid ServicesInfarctionPneumonia