2023
Maternal and Pregnancy Outcomes Following Heart Transplantation in the United States
Craig A, Campbell A, Snow S, Spates T, Goldstein S, Denoble A, Meng M, Schroder J, Flores K, Agarwal R, Ward C, Federspiel J. Maternal and Pregnancy Outcomes Following Heart Transplantation in the United States. JACC Heart Failure 2023, 11: 1666-1674. PMID: 37804312, PMCID: PMC10841668, DOI: 10.1016/j.jchf.2023.08.018.Peer-Reviewed Original ResearchNontransfusion severe maternal morbiditySevere maternal morbidityHT recipientsHeart transplantationPreterm birthDelivery hospitalizationsGreater oddsPregnancy outcomesRate of SMMNationwide Readmissions DatabaseOutcome of pregnancyHigher readmission ratesProportional hazards regressionHigh morbidity rateMaternal morbidityReadmission ratesHospital readmissionAdjusted analysisComorbid conditionsClinical comorbiditiesHazards regressionMorbidity rateHigh riskHT historyDays postpartum
2022
Oncology-hospitalist co-management: A model for efficient, high-quality care and education.
Morris J, Prsic E, Parker N, Weber U, Gombos E, Kottarathara M, Rothberg BE, Adelson K. Oncology-hospitalist co-management: A model for efficient, high-quality care and education. Journal Of Clinical Oncology 2022, 40: 1-1. DOI: 10.1200/jco.2022.40.28_suppl.001.Peer-Reviewed Original ResearchEarly discharge ratesReadmission ratesOncologist satisfactionIntervention teamHospitalist comanagementInpatient oncology serviceSmilow Cancer HospitalOutcome metricsHigher readmission ratesLength of stayMultidisciplinary steering groupHigh-quality careInternal medicine hospitalistsIllness scoresOncology teamCancer HospitalComparator groupOncology servicesPatient populationOutcome comparisonsCase volumeImprovement interventionsPDSA cyclesOncologistsPDSA 2
2021
1167. Hospital Readmissions among Infants Diagnosed with Early-Onset Neonatal Sepsis in Connecticut
Hudon R, Leung V, Leung V, Petit S, Banach D. 1167. Hospital Readmissions among Infants Diagnosed with Early-Onset Neonatal Sepsis in Connecticut. Open Forum Infectious Diseases 2021, 8: 675-675. PMCID: PMC8644067, DOI: 10.1093/ofid/ofab466.1360.Peer-Reviewed Original ResearchEarly-onset neonatal sepsisNeonatal sepsis casesNeonatal sepsisNon-white infantsInitial hospitalizationSepsis casesReadmission ratesClinical factorsStatewide hospital discharge databaseOne-year readmissionStatewide surveillance dataTiming of readmissionOnset neonatal sepsisHigher readmission ratesHospital discharge databaseHours of birthVulnerable patient populationSignificant infant morbidityPublic health surveillanceFirst yearPulmonary complicationsHospital readmissionInfant morbiditySystemic symptomsPatient population
2019
One-Year Readmission after Open and Endovascular Revascularization for Critical Limb Ischemia
Ochoa Chaar CI, Gholitabar N, Goodney P, Dardik A, Abougergi MS. One-Year Readmission after Open and Endovascular Revascularization for Critical Limb Ischemia. Annals Of Vascular Surgery 2019, 61: 25-32.e2. PMID: 31376536, DOI: 10.1016/j.avsg.2019.07.003.Peer-Reviewed Original ResearchMeSH KeywordsAgedAmputation, SurgicalCritical IllnessDatabases, FactualEndovascular ProceduresFemaleHospital MortalityHumansIschemiaLower ExtremityMalePatient ReadmissionPeripheral Arterial DiseaseReoperationRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesVascular Surgical ProceduresConceptsEndovascular lower extremity revascularizationLower extremity revascularizationCritical limb ischemiaCharlson Comorbidity IndexNationwide Readmissions DatabaseExtremity revascularizationMajor amputationEndovascular groupLimb ischemiaHigher Charlson comorbidity indexOne-year readmissionCohort of patientsClinical Modification codesHigher readmission ratesRisk-adjusted outcomesCost of careComorbidity indexEndovascular revascularizationInpatient mortalityReadmission ratesSubsequent readmissionPatient characteristicsInitial treatmentOpen revascularizationNinth RevisionAn Advanced Practice Practitioner–Based Program to Reduce 30‐ and 90‐Day Readmissions After Liver Transplantation
Mahmud N, Halpern S, Farrell R, Ventura K, Thomasson A, Lewis H, Olthoff KM, Levine MH, Nazarian S, Khungar V. An Advanced Practice Practitioner–Based Program to Reduce 30‐ and 90‐Day Readmissions After Liver Transplantation. Liver Transplantation 2019, 25: 901-910. PMID: 30947393, PMCID: PMC6548546, DOI: 10.1002/lt.25466.Peer-Reviewed Original ResearchMeSH KeywordsAgedEnd Stage Liver DiseaseFemaleHumansLiver TransplantationMaleMiddle AgedNurse PractitionersPatient ReadmissionPilot ProjectsPostoperative CarePostoperative ComplicationsProfessional RoleProgram EvaluationRetrospective StudiesRisk FactorsSex FactorsTime FactorsTreatment OutcomeUnited StatesConceptsLiver transplantationReadmission ratesRisk factorsPostexposure groupCare programIndex hospitalization characteristicsRetrospective cohort studyRisk of readmissionHigher readmission ratesAssociated risk factorsAdvanced practice practitionersIndex hospitalizationAnalytic cohortCohort studyHospitalization characteristicsReferral centerHospital readmissionLT centersAdjusted analysisMale sexNurse practitionersReadmissionClinic availabilitySignificant differencesPatientsThirty-Day Readmissions in Patients With Metastatic Cancer: Room for Improvement?
Solomon R, Egorova N, Adelson K, Smith CB, Franco R, Bickell NA. Thirty-Day Readmissions in Patients With Metastatic Cancer: Room for Improvement? JCO Oncology Practice 2019, 15: e410-e419. PMID: 30925070, DOI: 10.1200/jop.18.00500.Peer-Reviewed Original ResearchConceptsHigher readmission ratesReadmission ratesMetastatic cancerPreventable readmissionsTeaching hospitalNew York State hospital dischargesThirty-day readmissionState hospital dischargeSkilled nursing facilitiesCompeting-risks modelReadmission likelihoodAdvanced diseaseDischarge homeDischarge dispositionHospital dischargeYounger patientsReadmission reduction effortsHospice dischargeFemale sexHospital typeReadmissionNursing facilitiesPatientsHealth needsYounger ageTrends in Hospital Readmission of Medicare-Covered Patients With Heart Failure
Blecker S, Herrin J, Li L, Yu H, Grady JN, Horwitz LI. Trends in Hospital Readmission of Medicare-Covered Patients With Heart Failure. Journal Of The American College Of Cardiology 2019, 73: 1004-1012. PMID: 30846093, PMCID: PMC7011858, DOI: 10.1016/j.jacc.2018.12.040.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramSecondary heart failureReadmission ratesHeart failureReadmissions Reduction ProgramHF hospitalizationAffordable Care ActMedicare's Hospital Readmissions Reduction ProgramRisk-adjusted readmission ratesCause readmission rateHigher readmission ratesAcute myocardial infarctionCare ActReduction programsLinear spline regression modelsPneumonia hospitalizationsHospital readmissionMedicare hospitalizationsRetrospective studySecondary diagnosisMyocardial infarctionPrincipal diagnosisHospitalizationSpline regression modelsPatientsMeasuring hospital‐specific disparities by dual eligibility and race to reduce health inequities
Lloren A, Liu S, Herrin J, Lin Z, Zhou G, Wang Y, Kuang M, Zhou S, Farietta T, McCole K, Charania S, Sheares K, Bernheim S. Measuring hospital‐specific disparities by dual eligibility and race to reduce health inequities. Health Services Research 2019, 54: 243-254. PMID: 30666634, PMCID: PMC6341208, DOI: 10.1111/1475-6773.13108.Peer-Reviewed Original ResearchConceptsAfrican American racePatient case mixDual eligibilityReadmission ratesAmerican raceRisk-standardized outcomesHigher readmission ratesDual eligibility statusAcute myocardial infarctionAfrican American patientsRisk-standardized readmission ratesAcute care hospitalsQuality of careMedicaid Services methodologyHealth care qualityHospital disparitiesCare hospitalHeart failureInpatient admissionsMyocardial infarctionAmerican patientsMedicare patientsCase mixHealth outcomesHospital
2018
Opioid dependency is independently associated with inferior clinical outcomes after trauma
Hsiang WR, McGeoch C, Lee S, Cheung W, Becher R, Davis KA, Schuster K. Opioid dependency is independently associated with inferior clinical outcomes after trauma. Injury 2018, 50: 192-196. PMID: 30342762, DOI: 10.1016/j.injury.2018.10.015.Peer-Reviewed Original ResearchConceptsNon-home dischargeOpioid-dependent patientsLength of stayInjury Severity ScoreOpioid dependencyVentilator daysMajor complicationsClinical outcomesPrescription abuseIllicit abuseLonger LOSChronic pain subgroupsMore ventilator daysOpioid-naïve patientsUse of opioidsAcademic Level IHigher readmission ratesInferior clinical outcomesChronic pain patientsOpioid subgroupsNaïve patientsAdult patientsPain subgroupsPatient demographicsReadmission ratesHospital Characteristics Associated With Postdischarge Hospital Readmission, Observation, and Emergency Department Utilization
Horwitz LI, Wang Y, Altaf FK, Wang C, Lin Z, Liu S, Grady J, Bernheim SM, Desai NR, Venkatesh AK, Herrin J. Hospital Characteristics Associated With Postdischarge Hospital Readmission, Observation, and Emergency Department Utilization. Medical Care 2018, 56: 281-289. PMID: 29462075, PMCID: PMC6170884, DOI: 10.1097/mlr.0000000000000882.Peer-Reviewed Original ResearchMeSH KeywordsCross-Sectional StudiesEmergency Service, HospitalFee-for-Service PlansHeart FailureHospital AdministrationHospitals, PublicHumansMedicareMyocardial InfarctionNursing Staff, HospitalOwnershipPatient ReadmissionPneumoniaResidence CharacteristicsRetrospective StudiesSafety-net ProvidersUnited StatesConceptsAcute care utilizationAcute myocardial infarctionHeart failureCare utilizationAcute careMyocardial infarctionHospital characteristicsNet hospitalExcess daysPublic hospitalsNonsafety net hospitalsHigher readmission ratesEmergency department utilizationProportion of hospitalsAcute care hospitalsSafety-net hospitalService Medicare beneficiariesLarge urban hospitalMajor teaching hospitalType of hospitalCross-sectional analysisPostdischarge utilizationHospital dischargeHospital factorsReadmission rates
2017
Comparing 30‐Day Morbidity and Mortality in Pediatric and Adult Otologic Surgery
Schwam ZG, Michaelides E, Schwam JR, Kuo P, Hajek MA, Judson BL, Schutt C. Comparing 30‐Day Morbidity and Mortality in Pediatric and Adult Otologic Surgery. Otolaryngology 2017, 157: 830-836. PMID: 28463634, DOI: 10.1177/0194599817704376.Peer-Reviewed Original ResearchConceptsNational Surgical Quality Improvement ProgramNSQIP PediatricAdverse eventsOtologic surgeryOverall adverse event rateMultivariable logistic regression analysisSurgical Quality Improvement ProgramMost adverse eventsPostoperative adverse eventsAdverse event ratesHigher readmission ratesLow complication rateMulti-institutional databaseLogistic regression analysisQuality Improvement ProgramPediatric otologic surgeryInfectious complicationsPostdischarge complicationsReadmission ratesComplication ratePediatric otolaryngologistsHigher oddsConcurrent proceduresAdult populationOtologic procedures
2016
Association of Admission to Veterans Affairs Hospitals vs Non–Veterans Affairs Hospitals With Mortality and Readmission Rates Among Older Men Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia
Nuti SV, Qin L, Rumsfeld JS, Ross JS, Masoudi FA, Normand SL, Murugiah K, Bernheim SM, Suter LG, Krumholz HM. Association of Admission to Veterans Affairs Hospitals vs Non–Veterans Affairs Hospitals With Mortality and Readmission Rates Among Older Men Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia. JAMA 2016, 315: 582-592. PMID: 26864412, PMCID: PMC5459395, DOI: 10.1001/jama.2016.0278.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionNon-VA hospitalsReadmission ratesHeart failureVA hospitalsMortality rateVeterans AffairsMyocardial infarctionOlder menMedicare Standard Analytic FilesRisk-standardized mortality ratesCause readmission rateCause mortality ratesHigher readmission ratesStandard Analytic FilesVeterans Affairs hospitalRisk-standardized readmission ratesAdministrative claims dataAcute care hospitalsAssociation of admissionLittle contemporary informationLower mortality rateCross-sectional analysisAnalysis cohortCare hospital
2015
Incidence and risk factors for pneumonia following anterior cervical decompression and fusion procedures: an ACS-NSQIP study
Bohl DD, Ahn J, Rossi VJ, Tabaraee E, Grauer JN, Singh K. Incidence and risk factors for pneumonia following anterior cervical decompression and fusion procedures: an ACS-NSQIP study. The Spine Journal 2015, 16: 335-342. PMID: 26616171, DOI: 10.1016/j.spinee.2015.11.021.Peer-Reviewed Original ResearchMeSH KeywordsActivities of Daily LivingAdolescentAdultAge FactorsAgedCervical VertebraeComorbidityDecompression, SurgicalFemaleHumansIncidenceMaleMiddle AgedMultivariate AnalysisPneumoniaPostoperative ComplicationsPulmonary Disease, Chronic ObstructiveQuality ImprovementRegression AnalysisRetrospective StudiesRisk FactorsSpinal FusionYoung AdultConceptsIndependent risk factorDevelopment of pneumoniaChronic obstructive pulmonary diseaseAnterior cervical decompressionGreater operative durationObstructive pulmonary diseaseACDF proceduresRisk factorsReadmission ratesCervical decompressionOperative durationPulmonary diseaseSurgeons National Surgical Quality Improvement ProgramNational Surgical Quality Improvement ProgramSurgical Quality Improvement ProgramACS-NSQIP studyDependent functional statusRetrospective cohort studyIncidence of pneumoniaHigher readmission ratesDiagnosis of pneumoniaFusion proceduresImportant clinical consequencesMultivariate regressionQuality Improvement Program
2014
Community Factors and Hospital Readmission Rates
Herrin J, St. Andre J, Kenward K, Joshi MS, Audet A, Hines SC. Community Factors and Hospital Readmission Rates. Health Services Research 2014, 50: 20-39. PMID: 24712374, PMCID: PMC4319869, DOI: 10.1111/1475-6773.12177.Peer-Reviewed Original ResearchConceptsHospital readmission ratesReadmission ratesAcute myocardial infarctionHeart failureRisk-standardized readmission ratesHigher readmission ratesCommunity factorsCounty characteristicsNursing Home CompareArea Resource FileMultivariable analysisMeasures of accessMyocardial infarctionCounty demographicsHospitalStrong associationStudy sampleResource FilePneumoniaInfarctionPatientsFactorsNational variationsCareRate
2013
Assessing Readmission After General, Vascular, and Thoracic Surgery Using ACS-NSQIP
Lucas DJ, Haider A, Haut E, Dodson R, Wolfgang CL, Ahuja N, Sweeney J, Pawlik TM. Assessing Readmission After General, Vascular, and Thoracic Surgery Using ACS-NSQIP. Annals Of Surgery 2013, 258: 430-439. PMID: 24022435, PMCID: PMC4623433, DOI: 10.1097/sla.0b013e3182a18fcc.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedDatabases, FactualDecision Support TechniquesFemaleFollow-Up StudiesHealth Status IndicatorsHumansLength of StayMaleMiddle AgedMultivariate AnalysisPatient ReadmissionPostoperative ComplicationsRegression AnalysisRisk FactorsROC CurveSurgical Procedures, OperativeThoracic Surgical ProceduresUnited StatesVascular Surgical ProceduresConceptsASA classReadmission ratesThoracic surgerySurgeons National Surgical Quality Improvement ProgramNational Surgical Quality Improvement ProgramSurgical Quality Improvement ProgramInteger-based scoreMedian American SocietyStay 10 daysMedian patient ageRisk of readmissionHigher readmission ratesQuality Improvement ProgramAnesthesiologists classInpatient complicationsMedian LOSPatient agePatient characteristicsNonelective surgeryUpper gastrointestinalACS-NSQIPReadmission riskRisk factorsReadmissionAmerican College
2011
30-Day Readmission for Patients Undergoing Percutaneous Coronary Interventions in New York State
Hannan EL, Zhong Y, Krumholz H, Walford G, Holmes DR, Stamato NJ, Jacobs AK, Venditti FJ, Sharma S, King SB. 30-Day Readmission for Patients Undergoing Percutaneous Coronary Interventions in New York State. JACC Cardiovascular Interventions 2011, 4: 1335-1342. PMID: 22192374, DOI: 10.1016/j.jcin.2011.08.013.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionReadmission ratesUnique risk factorsRisk factorsCoronary interventionAdministrative databasesComplications of PCIPre-procedural risk factorsRepeat percutaneous coronary interventionChronic ischemic heart diseaseOverall readmission rateHigher readmission ratesIschemic heart diseaseLength of stayNew York State patientsRecognition of patientsDiagnostic risk factorsCost-effectiveness standpointPCI patientsPCI registryChest painHeart failureHospital readmissionHeart diseasePrincipal diagnosis
2003
Sex Differences in Health Status After Coronary Artery Bypass Surgery
Vaccarino V, Lin ZQ, Kasl SV, Mattera JA, Roumanis SA, Abramson JL, Krumholz HM. Sex Differences in Health Status After Coronary Artery Bypass Surgery. Circulation 2003, 108: 2642-2647. PMID: 14597590, DOI: 10.1161/01.cir.0000097117.28614.d8.Peer-Reviewed Original ResearchConceptsPhysical functionMental healthReadmission ratesFunctional gainsCoronary artery bypass graft surgeryArtery bypass graft surgeryCoronary artery bypass surgeryLower functional gainsBypass graft surgeryArtery bypass surgeryHigher readmission ratesMan 6 monthsMean score improvementFirst CABGCABG surgeryGraft surgeryBaseline characteristicsBypass surgeryHospital readmissionMultivariable analysisAdverse outcomesFunctional statusFunctional improvementHealth SurveyHealth status
1991
Psychiatric inpatient care in the VA: before, during, and after DRG- based budgeting
Rosenheck R, Massari L. Psychiatric inpatient care in the VA: before, during, and after DRG- based budgeting. American Journal Of Psychiatry 1991, 148: 888-891. PMID: 1905110, DOI: 10.1176/ajp.148.7.888.Peer-Reviewed Original ResearchConceptsDiagnosis-related groupsMedical-surgical careNumber of episodesInpatient carePsychiatric careReadmission ratesMore episodesVeterans Affairs Medical CenterComputerized discharge abstractsHigher readmission ratesInpatient psychiatric careNon-VA hospitalsPsychiatric inpatient careVA inpatient careMedicare diagnosis-related groupsNonpsychiatric hospitalizationsUnduplicated patientsUnique patientsBed daysDischarge abstractsMedical CenterCareProspective payment systemMean lengthNumber of discharges
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