Featured Publications
Association of Changing Hospital Readmission Rates With Mortality Rates After Hospital Discharge
Dharmarajan K, Wang Y, Lin Z, Normand ST, Ross JS, Horwitz LI, Desai NR, Suter LG, Drye EE, Bernheim SM, Krumholz HM. Association of Changing Hospital Readmission Rates With Mortality Rates After Hospital Discharge. JAMA 2017, 318: 270-278. PMID: 28719692, PMCID: PMC5817448, DOI: 10.1001/jama.2017.8444.Peer-Reviewed Original ResearchConceptsRisk-adjusted readmission ratesRisk-adjusted mortality ratesAcute myocardial infarctionHeart failureReadmission ratesMortality rateMyocardial infarctionMedicare feeService beneficiariesHospital readmission ratesMean hospitalHospital mortalityPostdischarge mortalityHospital dischargeHospital readmissionRetrospective studyAffordable Care ActReadmission reductionMAIN OUTCOMEPneumoniaHospitalSecondary analysisWeighted Pearson correlation coefficientMortalityCare ActAccounting For Patients’ Socioeconomic Status Does Not Change Hospital Readmission Rates
Bernheim SM, Parzynski CS, Horwitz L, Lin Z, Araas MJ, Ross JS, Drye EE, Suter LG, Normand SL, Krumholz HM. Accounting For Patients’ Socioeconomic Status Does Not Change Hospital Readmission Rates. Health Affairs 2016, 35: 1461-1470. PMID: 27503972, PMCID: PMC7664840, DOI: 10.1377/hlthaff.2015.0394.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramPatients' socioeconomic statusMedicare's Hospital Readmissions Reduction ProgramLow socioeconomic statusReadmission ratesSocioeconomic statusRisk-standardized readmission ratesHospital readmission ratesReadmissions Reduction ProgramMedicaid Services methodologyReadmission measuresHospital resultsPatientsHospitalSuch hospitalsPayment penaltiesReduction programsStatusCurrent CentersLower proportionLarge proportionPercentAdjustmentProportion
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
2023
Adjustment for Social Risk Factors in a Measure of Clinician Quality Assessing Acute Admissions for Patients With Multiple Chronic Conditions
Lipska K, Altaf F, Barthel A, Spatz E, Lin Z, Herrin J, Bernheim S, Drye E. Adjustment for Social Risk Factors in a Measure of Clinician Quality Assessing Acute Admissions for Patients With Multiple Chronic Conditions. JAMA Health Forum 2023, 4: e230081. PMID: 36897581, DOI: 10.1001/jamahealthforum.2023.0081.Peer-Reviewed Original ResearchConceptsMultiple chronic conditionsSocial risk factorsMedicare-Medicaid dual eligibilityRisk factorsChronic conditionsSocioeconomic status indexMeasure scoresAcute admissionsCohort studyDual eligibilityHealthcare ResearchDual-eligible patientsRetrospective cohort studyUnplanned hospital admissionsRisk of hospitalizationArea Health Resource FileService beneficiaries 65 yearsBeneficiaries 65 yearsRisk factor adjustmentStatus indexMedicare administrative claimsHospital admissionOutcome measuresAdministrative claimsMAIN OUTCOME
2020
Post-discharge acute care and outcomes following readmission reduction initiatives: national retrospective cohort study of Medicare beneficiaries in the United States
Khera R, Wang Y, Bernheim SM, Lin Z, Krumholz HM. Post-discharge acute care and outcomes following readmission reduction initiatives: national retrospective cohort study of Medicare beneficiaries in the United States. The BMJ 2020, 368: l6831. PMID: 31941686, PMCID: PMC7190056, DOI: 10.1136/bmj.l6831.Peer-Reviewed Original ResearchConceptsAcute care utilizationAcute myocardial infarctionRetrospective cohort studyHeart failureCare utilizationPost-discharge periodEmergency departmentMyocardial infarctionDay mortalityCohort studyHospital admissionObservation unitAcute careNational retrospective cohort studyPost-acute care utilizationHospital Readmissions Reduction ProgramObservation unit carePost-discharge mortalityDay readmission rateRisk of deathReadmissions Reduction ProgramReadmission reduction initiativesReadmission ratesUnit careInpatient unit
2018
The influence of sociodemographic factors on operative decision-making in small bowel obstruction
Jean RA, Chiu AS, O'Neill KM, Lin Z, Pei KY. The influence of sociodemographic factors on operative decision-making in small bowel obstruction. Journal Of Surgical Research 2018, 227: 137-144. PMID: 29804845, DOI: 10.1016/j.jss.2018.02.029.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overClinical Decision-MakingDigestive System Surgical ProceduresFemaleHealth Care CostsHealthcare DisparitiesHospitalizationHumansInpatientsInsurance CoverageIntestinal ObstructionIntestine, SmallLength of StayMaleMiddle AgedPractice Guidelines as TopicRacial GroupsRetrospective StudiesSocioeconomic FactorsTime-to-TreatmentUnited StatesYoung AdultConceptsSmall bowel obstructionOperative managementOperative delaySociodemographic factorsBowel obstructionHospital factorsInsurance statusMedicare patientsUtilization Project National Inpatient SampleMedicare insurance coverageOverall study populationNational Inpatient SampleHospital mortalityNonoperative therapyNonoperative managementHospital clusteringPrimary outcomeHispanic patientsBlack patientsPrimary diagnosisInpatient SampleCurrent guidelinesSociodemographic disparitiesStudy populationHealthcare costs
2017
Hospital Characteristics Associated With Risk-standardized Readmission Rates
Horwitz LI, Bernheim SM, Ross JS, Herrin J, Grady JN, Krumholz HM, Drye EE, Lin Z. Hospital Characteristics Associated With Risk-standardized Readmission Rates. Medical Care 2017, 55: 528-534. PMID: 28319580, PMCID: PMC5426655, DOI: 10.1097/mlr.0000000000000713.Peer-Reviewed Original Research
2016
Declining Admission Rates And Thirty-Day Readmission Rates Positively Associated Even Though Patients Grew Sicker Over Time
Dharmarajan K, Qin L, Lin Z, Horwitz LI, Ross JS, Drye EE, Keshawarz A, Altaf F, Normand SL, Krumholz HM, Bernheim SM. Declining Admission Rates And Thirty-Day Readmission Rates Positively Associated Even Though Patients Grew Sicker Over Time. Health Affairs 2016, 35: 1294-1302. PMID: 27385247, DOI: 10.1377/hlthaff.2015.1614.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCenters for Medicare and Medicaid Services, U.S.Chronic DiseaseDatabases, FactualDisease ProgressionFemaleGeriatric AssessmentHospital MortalityHumansIncidenceLength of StayMaleOutcome Assessment, Health CarePatient AdmissionPatient ReadmissionRetrospective StudiesRisk AssessmentSeverity of Illness IndexTime FactorsUnited States
2015
Association of hospital volume with readmission rates: a retrospective cross-sectional study
Horwitz LI, Lin Z, Herrin J, Bernheim S, Drye EE, Krumholz HM, Hines HJ, Ross JS. Association of hospital volume with readmission rates: a retrospective cross-sectional study. The BMJ 2015, 350: h447. PMID: 25665806, PMCID: PMC4353286, DOI: 10.1136/bmj.h447.Peer-Reviewed Original ResearchMeSH KeywordsAgedCross-Sectional StudiesHospitals, High-VolumeHospitals, Low-VolumeHumansPatient ReadmissionRetrospective StudiesConceptsReadmission ratesHospital volumeRetrospective cross-sectional studyUS acute care hospitalsHospital readmission ratesAcute care hospitalsCross-sectional studyMedical cancer treatmentCare hospitalAdult dischargesHospital characteristicsMedicare feeCancer treatmentHospitalAssociationDaysService dataPatientsCardiovascularGynecologyQuintileNeurologyNational trends in hospital length of stay for acute myocardial infarction in China
Li Q, Lin Z, Masoudi FA, Li J, Li X, Hernández-Díaz S, Nuti SV, Li L, Wang Q, Spertus JA, Hu FB, Krumholz HM, Jiang L. National trends in hospital length of stay for acute myocardial infarction in China. BMC Cardiovascular Disorders 2015, 15: 9. PMID: 25603877, PMCID: PMC4360951, DOI: 10.1186/1471-2261-15-9.Peer-Reviewed Original ResearchMeSH KeywordsAgedChinaFemaleHospital MortalityHospitals, RuralHospitals, UrbanHumansLength of StayMaleMiddle AgedMyocardial InfarctionRetrospective StudiesRisk Assessment
2007
Changes in outcomes for internal medicine inpatients after work-hour regulations.
Horwitz LI, Kosiborod M, Lin Z, Krumholz HM. Changes in outcomes for internal medicine inpatients after work-hour regulations. Annals Of Internal Medicine 2007, 147: 97-103. PMID: 17548401, DOI: 10.7326/0003-4819-147-2-200707170-00163.Peer-Reviewed Original ResearchConceptsIntensive care unit utilizationLength of stayDrug-drug interactionsWork-hour regulationsNonteaching servicesHospital deathPharmacist interventionsReadmission ratesConsecutive patientsRetrospective cohort studyInternal medicine patientsInternal medicine inpatientsUnit utilizationAdverse drug-drug interactionsTeaching serviceAcademic medical centerCohort studyDischarge dispositionMedicine inpatientsMedicine patientsFatigue-related errorsMedical CenterRehabilitation facilityRate of dischargePatients
2000
Impact of Guglielmi detachable coils on outcomes of patients with intracranial aneurysms treated by a multidisciplinary team at a single institution.
Sturaitis M, Rinne J, Chaloupka J, Kaynar M, Lin Z, Awad I. Impact of Guglielmi detachable coils on outcomes of patients with intracranial aneurysms treated by a multidisciplinary team at a single institution. Journal Of Neurosurgery 2000, 93: 569-80. PMID: 11014534, DOI: 10.3171/jns.2000.93.4.0569.Peer-Reviewed Original ResearchConceptsIntensive care unitInflation-adjusted hospital chargesHospital chargesClinical outcomesTherapeutic optionsIntracranial aneurysmsDuration of hospitalOutcomes of patientsPoor surgical risksAcademic referral centerLength of stayOverall management outcomeGuglielmi detachable coilsHigher clinical gradeEffectiveness of treatmentDisease severity parametersComputerized tomography scanningGDC procedureHospital stayIntradural aneurysmsReferral centerSurgical riskCare unitTertiary careOutcome parameters