2016
Hospital readmission after multiple major operative procedures among patients with employer provided health insurance
Kim Y, Gani F, Canner J, Margonis G, Makary M, Schneider E, Pawlik T. Hospital readmission after multiple major operative procedures among patients with employer provided health insurance. Surgery 2016, 160: 178-190. PMID: 27085686, DOI: 10.1016/j.surg.2016.01.025.Peer-Reviewed Original ResearchConceptsMultiple operative proceduresDays of dischargeMajor operative proceduresOperative procedureSingle operative procedureIndex dischargeLate readmissionHospital readmissionMultivariable logistic regression analysisHigher preoperative comorbidityLate hospital readmissionLogistic regression analysisDuration of stayPreoperative comorbiditiesPostoperative complicationsPostoperative dischargeMarketScan databaseMultivariable analysisOverall incidenceAbdominal proceduresSame hospitalRisk factorsReadmissionCardiovascular proceduresGreater oddsUnderstanding recurrent readmission after major surgery among patients with employer-provided health insurance
Kim Y, Ejaz A, Xu L, Gani F, Canner J, Schneider E, Pawlik T. Understanding recurrent readmission after major surgery among patients with employer-provided health insurance. The American Journal Of Surgery 2016, 212: 305-314.e2. PMID: 27156797, DOI: 10.1016/j.amjsurg.2016.01.028.Peer-Reviewed Original ResearchConceptsCharlson Comorbidity IndexRecurrent readmissionsMajor surgeryFirst readmissionIndex hospitalizationStudy cohortMedian lengthMedian patient ageDays of dischargeLong-term outcomesMajor surgical proceduresFirst rehospitalizationMore comorbiditiesMore readmissionsComorbidity indexUnplanned readmissionPatient ageReadmission patternsEntire followMedian timeHospital chargesTotal admissionsReadmissionSurgical proceduresPatients
2015
Early Versus Late Readmission After Surgery Among Patients With Employer-provided Health Insurance
Kim Y, Gani F, Lucas D, Ejaz A, Spolverato G, Canner J, Schneider E, Pawlik T. Early Versus Late Readmission After Surgery Among Patients With Employer-provided Health Insurance. Annals Of Surgery 2015, 262: 502-511. PMID: 26258319, DOI: 10.1097/sla.0000000000001429.Peer-Reviewed Original ResearchMeSH KeywordsAcademic Medical CentersAgedCohort StudiesDatabases, FactualFemaleHealth Benefit Plans, EmployeeHealth Care CostsHospital CostsHumansLength of StayLogistic ModelsMaleMiddle AgedMultivariate AnalysisPatient DischargePatient ReadmissionRetrospective StudiesSurgical Procedures, OperativeTime FactorsConceptsNon-index hospitalsDays of dischargeMajor surgical proceduresSame-hospital readmissionsLate readmissionIndex hospitalHospital readmissionSurgical proceduresTruven Health MarketScan Commercial ClaimsMultivariable logistic regression analysisCharlson Comorbidity IndexMarketScan Commercial ClaimsLogistic regression analysisHospital mortalityComorbidity indexIndex dischargeEarly readmissionTrue incidenceEncounters DatabaseCommercial ClaimsReadmissionPatientsDifferent hospitalsHospitalHealth insuranceEarly versus late hospital readmission after pancreaticoduodenectomy
Schneider E, Canner J, Gani F, Kim Y, Ejaz A, Spolverato G, Pawlik T. Early versus late hospital readmission after pancreaticoduodenectomy. Journal Of Surgical Research 2015, 196: 74-81. PMID: 25777825, DOI: 10.1016/j.jss.2015.02.043.Peer-Reviewed Original ResearchConceptsProcedure-related factorsLate readmissionEarly readmissionTruven Health MarketScan databaseLate hospital readmissionCoronary heart diseaseSubsequent medical managementPostoperative complicationsExtended LOSHospital readmissionRenal diseaseMarketScan databaseMedical managementMultivariable analysisPatient groupTrue burdenHeart diseaseCommon causeInclusion criteriaReadmissionPancreaticoduodenectomyPatientsDiseaseLonger lengthComplex procedures
2014
Variation in Readmission by Hospital After Colorectal Cancer Surgery
Lucas D, Ejaz A, Bischof D, Schneider E, Pawlik T. Variation in Readmission by Hospital After Colorectal Cancer Surgery. JAMA Surgery 2014, 149: 1272-1277. PMID: 25337956, DOI: 10.1001/jamasurg.2014.988.Peer-Reviewed Original ResearchConceptsReadmission ratesColorectal surgeryAppropriate risk adjustmentHierarchical multivariable logistic regression analysisMultivariable logistic regression analysisRisk-adjusted readmission ratesRisk adjustmentRepresentative cancer registryColorectal cancer surgeryEnd Results-MedicareHospital readmission ratesHospital quality metricsRisk-adjusted variationLogistic regression analysisColorectal resectionStudy patientsHospital readmissionMedian agePatient characteristicsCancer surgeryCancer RegistryMAIN OUTCOMEReadmissionUS hospitalsHospital
2013
Assessing short- and long-term outcomes among black vs white Medicare patients undergoing resection of colorectal cancer
Schneider E, Haider A, Hyder O, Efron J, Lidor A, Pawlik T. Assessing short- and long-term outcomes among black vs white Medicare patients undergoing resection of colorectal cancer. The American Journal Of Surgery 2013, 205: 402-408. PMID: 23375764, PMCID: PMC3999705, DOI: 10.1016/j.amjsurg.2012.08.005.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overBlack or African AmericanCohort StudiesColectomyColorectal NeoplasmsFemaleHealth Status DisparitiesHospital MortalityHumansLength of StayLogistic ModelsMaleMedicareOdds RatioPatient ReadmissionProportional Hazards ModelsRectumSEER ProgramTreatment OutcomeUnited StatesWhite PeopleConceptsBlack patientsLong-term outcomesLong-term survivalColorectal cancerHospital mortalityWhite patientsGreater oddsWorse long-term survivalWhite Medicare patientsEnd Results-MedicareRisk of mortalityMore comorbiditiesPerioperative mortalityColorectal surgeryReduced oddsMedicare patientsInpatient dataPatientsReadmissionMortalityCancerComorbiditiesResectionWhite differencesOdds