2024
Pre-COVID-19 hospital quality and hospital response to COVID-19: examining associations between risk-adjusted mortality for patients hospitalised with COVID-19 and pre-COVID-19 hospital quality
Peter D, Li S, Wang Y, Zhang J, Grady J, McDowell K, Norton E, Lin Z, Bernheim S, Venkatesh A, Fleisher L, Schreiber M, Suter L, Triche E. Pre-COVID-19 hospital quality and hospital response to COVID-19: examining associations between risk-adjusted mortality for patients hospitalised with COVID-19 and pre-COVID-19 hospital quality. BMJ Open 2024, 14: e077394. PMID: 38553067, PMCID: PMC10982775, DOI: 10.1136/bmjopen-2023-077394.Peer-Reviewed Original ResearchMeSH KeywordsAgedCOVID-19Hospital MortalityHospitalsHumansMedicarePandemicsRetrospective StudiesUnited StatesConceptsHospital qualityPatient experiencePre-COVID-19Medicare patientsShort-term acute care hospitalsCritical access hospitalsAcute care hospitalsFuture public health emergenciesHigher odds of mortalityIn-hospitalRisk-adjusted mortalityOdds of mortalityCare deliveryAccess hospitalsEffective careCOVID-19-related deathsAssociated with mortalityCare structuresHospital characteristicsPublic health emergencySummary scoreMedicare beneficiariesHigher oddsHospital responseRSMRs
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
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 patternsCABGIdentification of Hospital Cardiac Services for Acute Myocardial Infarction Using Individual Patient Discharge Data
Chang TE, Krumholz HM, Li S, Martin J, Ranasinghe I. Identification of Hospital Cardiac Services for Acute Myocardial Infarction Using Individual Patient Discharge Data. Journal Of The American Heart Association 2016, 5: e003680. PMID: 27628573, PMCID: PMC5079029, DOI: 10.1161/jaha.116.003680.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPatient discharge dataCardiac servicesMyocardial infarctionAmerican Heart Association/American CollegePremier Healthcare DatabaseCurrent Procedural Terminology codesProcedural Terminology codesAmerican Hospital Association Annual SurveyDischarge dataPremier hospitalsCardiology guidelinesNinth RevisionAMI careInpatient careClinical ModificationAmerican CollegeTerminology codesInternational ClassificationHealthcare databasesCare variesCare processesHospitalHospital servicesPremier database
2015
Hospital Variability in Use of Anticoagulant Strategies During Acute Myocardial Infarction Treated With an Early Invasive Strategy
Arnold SV, Li SX, Alexander KP, Spertus JA, Nallamothu BK, Curtis JP, Kosiborod M, Gupta A, Wang TY, Lin H, Dharmarajan K, Strait KM, Lowe TJ, Krumholz HM. Hospital Variability in Use of Anticoagulant Strategies During Acute Myocardial Infarction Treated With an Early Invasive Strategy. Journal Of The American Heart Association 2015, 4: e002009. PMID: 26077589, PMCID: PMC4599539, DOI: 10.1161/jaha.115.002009.Peer-Reviewed Original ResearchConceptsEarly invasive strategyAnticoagulant strategiesMyocardial infarctionBleeding rateInvasive strategyAcute myocardial infarction patientsOptimal anticoagulant strategyHalf of patientsPercutaneous coronary interventionAcute myocardial infarctionMyocardial infarction patientsHospital use patternsComparative effectiveness studiesRisk-standardized mortalityChoice of anticoagulantsMedian odds ratioCoronary interventionPatient factorsSystemic anticoagulationHospital variabilityInfarction patientsPrincipal diagnosisOdds ratioMultivariate regression modelPatterns of use
2014
“Phenotyping” Hospital Value of Care for Patients with Heart Failure
Xu X, Li S, Lin H, Normand S, Kim N, Ott LS, Lagu T, Duan M, Kroch EA, Krumholz HM. “Phenotyping” Hospital Value of Care for Patients with Heart Failure. Health Services Research 2014, 49: 2000-2016. PMID: 24974769, PMCID: PMC4254136, DOI: 10.1111/1475-6773.12197.Peer-Reviewed Original ResearchConceptsLower mortalityHeart failureHeart failure hospitalizationHospital mortality rateLonger hospital stayIntensive care unitDistinct joint trajectoriesValue of careFailure hospitalizationHospital stayCare unitClinical outcomesGroup of hospitalsHospital characteristicsHospital careHospital patternsSurgical proceduresMultinomial logistic regressionMortality rateHigh mortalityHospitalHospitalizationMortalityLogistic regressionHospital ValueHospital Variation in Intravenous Inotrope Use for Patients Hospitalized With Heart Failure
Allen LA, Fonarow GC, Grau-Sepulveda MV, Hernandez AF, Peterson PN, Partovian C, Li SX, Heidenreich PA, Bhatt DL, Peterson ED, Krumholz HM. Hospital Variation in Intravenous Inotrope Use for Patients Hospitalized With Heart Failure. Circulation Heart Failure 2014, 7: 251-260. PMID: 24488983, PMCID: PMC5459367, DOI: 10.1161/circheartfailure.113.000761.Peer-Reviewed Original ResearchMeSH KeywordsAgedCardiotonic AgentsCross-Sectional StudiesDose-Response Relationship, DrugFemaleFollow-Up StudiesGuideline AdherenceHeart FailureHospital MortalityHospitalsHumansInfusions, IntravenousInpatientsLength of StayMaleOutcome Assessment, Health CarePractice Patterns, Physicians'RegistriesRetrospective StudiesSurvival RateUnited StatesConceptsInotrope useHeart failureInotropic therapyInotropic agentsGuidelines-Heart Failure registryIntravenous inotropic agentsIntravenous inotropic therapyRisk-standardized ratesUse of inotropesHeart failure hospitalizationHospital-level ratesRandom hospital effectsFailure hospitalizationClinical characteristicsHospital factorsInpatient mortalityClinical factorsClinical outcomesHospital variationHospital characteristicsHospital effectsPatientsUS hospitalsHospitalStudy period
2013
Patterns of Change in Nesiritide Use in Patients With Heart Failure How Hospitals React to New Information
Partovian C, Li SX, Xu X, Lin H, Strait KM, Hwa J, Krumholz HM. Patterns of Change in Nesiritide Use in Patients With Heart Failure How Hospitals React to New Information. JACC Heart Failure 2013, 1: 318-324. PMID: 24621935, PMCID: PMC5322944, DOI: 10.1016/j.jchf.2013.04.005.Peer-Reviewed Original ResearchConceptsHeart failureNesiritide useHospital characteristicsHospital groupDecompensated heart failureProportion of hospitalizationsPatterns of changeMultivariate regression analysisPatient characteristicsEarly reliefHospital patternsHospitalTeaching statusPremier databaseMedical evidenceHospitalizationPatientsRegression analysisSafety concernsLow usersUse ratesGroupFailureFurther researchDyspneaVariation Exists in Rates of Admission to Intensive Care Units for Heart Failure Patients Across Hospitals in the United States
Safavi KC, Dharmarajan K, Kim N, Strait KM, Li SX, Chen SI, Lagu T, Krumholz HM. Variation Exists in Rates of Admission to Intensive Care Units for Heart Failure Patients Across Hospitals in the United States. Circulation 2013, 127: 923-929. PMID: 23355624, PMCID: PMC3688061, DOI: 10.1161/circulationaha.112.001088.Peer-Reviewed Original ResearchConceptsIntensive care unitHeart failureRisk-standardized mortalityICU admissionICU useCare unitPatient outcomesCoronary intensive care unitMedical intensive care unitNoninvasive positive pressure ventilationSurgical intensive care unitTop quartileGreater ICU useOverall heart failureTop quartile hospitalsICU admission ratePercent of patientsPremier Perspective databaseHeart failure patientsPositive pressure ventilationRate of admissionHigh-cost settingsQuality of careHF admissionsICU days
2012
Hospital Patterns of Use of Positive Inotropic Agents in Patients With Heart Failure
Partovian C, Gleim SR, Mody PS, Li SX, Wang H, Strait KM, Allen LA, Lagu T, Normand SL, Krumholz HM. Hospital Patterns of Use of Positive Inotropic Agents in Patients With Heart Failure. Journal Of The American College Of Cardiology 2012, 60: 1402-1409. PMID: 22981548, PMCID: PMC3636773, DOI: 10.1016/j.jacc.2012.07.011.Peer-Reviewed Original ResearchConceptsPositive inotropic agentsRisk-standardized ratesInotropic agentsHeart failureInotrope useHospital patternsMortality rateRisk-standardized mortality ratesHospital mortality rateHeart failure patientsLittle clinical evidenceLength of stayPatient case mixHierarchical logistic regression modelsLogistic regression modelsIntraclass correlation coefficientFailure patientsHospital variationClinical evidenceInterhospital variationClinical guidelinesIndividual hospital effectsHospital ratesHospital effectsPatterns of use