2025
How do hospitals that serve low socioeconomic status patients achieve low readmission rates? A qualitative study of safety-net hospitals
Minges K, Chen P, Loh K, Sutton L, Bernheim S. How do hospitals that serve low socioeconomic status patients achieve low readmission rates? A qualitative study of safety-net hospitals. BMJ Open 2025, 15: e083384. PMID: 39947820, PMCID: PMC11831259, DOI: 10.1136/bmjopen-2023-083384.Peer-Reviewed Original ResearchMeSH KeywordsHumansLow Socioeconomic StatusMedicaidPatient ReadmissionQualitative ResearchSafety-net ProvidersSocial ClassUnited StatesConceptsSafety-net hospitalHospital staffReadmission ratesSocioeconomic statusSafety-netPatients of low socioeconomic statusQuality of care indicatorsMedicaid patientsProportion of Medicaid patientsLow-SES populationsLow socioeconomic status patientsPostacute care facilitiesSocioeconomic status patientsHealthcare policy changesLow socioeconomic statusProvision of high-qualityCare indicatorsEquitable careHospital supportCare facilitiesPatient needsPatient carePayer sourceSample hospitalsThematic analysisTransient Ischemic Attack in Women: Real-World Hospitalization Incidence, Outcomes, and Risk of Hemorrhage and Stroke
Chen H, Khunte M, Colasurdo M, Majmundar S, Payabvash S, Chaturvedi S, Malhotra A, Gandhi D. Transient Ischemic Attack in Women: Real-World Hospitalization Incidence, Outcomes, and Risk of Hemorrhage and Stroke. Stroke 2025, 56: 285-293. PMID: 39869710, DOI: 10.1161/strokeaha.124.049278.Peer-Reviewed Original ResearchConceptsRates of vascular risk factorsTransient ischemic attackUS Census Bureau dataAssociated with lower oddsHigher odds of deathIschemic strokeRisk factorsAnnual incidenceTransient neurological symptomsStroke risk factorsOdds of deathLogistic regression modelsVascular risk factorsCensus Bureau dataRate of headacheRetrospective cohort studyLower oddsHigher oddsNeurological symptomsHome dischargeCohort studyIschemic attackHospital incidenceExcess hospitalizationsRisk of hemorrhageBenzodiazepine and z-drug prescribing in critical care survivors and the risk of rehospitalisation or death due to falls/trauma and due to any cause: a retrospective matched cohort study using the UK Clinical Practice Research Datalink
Mansi E, Rentsch C, Bourne R, Jeffery A, Guthrie B, Lone N. Benzodiazepine and z-drug prescribing in critical care survivors and the risk of rehospitalisation or death due to falls/trauma and due to any cause: a retrospective matched cohort study using the UK Clinical Practice Research Datalink. Intensive Care Medicine 2025, 51: 125-136. PMID: 39774867, DOI: 10.1007/s00134-024-07762-4.Peer-Reviewed Original ResearchMeSH KeywordsAccidental FallsAcetamidesAdultAgedAged, 80 and overAzabicyclo CompoundsBenzodiazepinesCohort StudiesCritical CareFemaleHumansHypnotics and SedativesMaleMiddle AgedPatient ReadmissionPiperazinesProportional Hazards ModelsPyrimidinesRetrospective StudiesSurvivorsUnited KingdomWounds and InjuriesConceptsCritical care survivorsUK Clinical Practice Research DatalinkClinical Practice Research DatalinkZ-drug prescribingAssociated with increased riskPalliative careZ-drugsAssociated with increased risk of all-causeRisk of all-causeCohort studyConfidence intervalsBenzodiazepines/Z-drugsMental health problemsRisk of rehospitalisationMatched cohort studyVulnerable patient groupRetrospective matched cohort studyTreatment naive individualsAll-causeMethodsRetrospective cohort studyHazard ratioHealth problemsPrescribed benzodiazepinesPrescribingHighest prevalence
2024
Analysis of short- and delayed unplanned readmission rates after anterior discectomy and fusion for CSM
Elsamadicy A, Sayeed S, Sadeghzadeh S, Hengartner A, Ghanekar S, Serrato P, Khalid S, Lo S, Sciubba D. Analysis of short- and delayed unplanned readmission rates after anterior discectomy and fusion for CSM. Journal Of Clinical Neuroscience 2024, 133: 110993. PMID: 39742778, DOI: 10.1016/j.jocn.2024.110993.Peer-Reviewed Original ResearchConceptsCervical spondylotic myelopathyNationwide Readmissions DatabaseTreatment of cervical spondylotic myelopathyCervical spondylotic myelopathy patientsAnterior cervical discectomyDrivers of readmissionModified frailty indexRetrospective cohort studyAcute kidney failureNon-readmitted patientsPatient- and hospital-level factorsPatient demographic informationCervical discectomySpondylotic myelopathyAnterior discectomyAdult patientsAdverse eventsHospital-level factorsCohort studyICD-10 codesReadmissions DatabaseACDFPatientsKidney failureFrailty score90-Day Complication and Readmission Rates for Geriatric Patients With Hip Fracture at Different Time Points From COVID-19 Positivity: A Database Study
Sanchez J, Jiang W, Dhodapkar M, Radford Z, Rubin L, Grauer J. 90-Day Complication and Readmission Rates for Geriatric Patients With Hip Fracture at Different Time Points From COVID-19 Positivity: A Database Study. JAAOS Global Research And Reviews 2024, 8: e24.00069. PMID: 39330875, PMCID: PMC11412709, DOI: 10.5435/jaaosglobal-d-24-00069.Peer-Reviewed Original ResearchConceptsHip fracture surgeryHip fractureGeriatric patientsFracture surgeryAdverse eventsRate of minor adverse eventsCOVID-19 diagnosisWeeks of surgeryMinor adverse eventsTime pointsAssociated with increased oddsComplication rateAssess complicationsCOVID-19 positivityCOVID-19 infectionMultivariate analysisSurgeryComplicationsPatientsDatabase studyReadmission ratesCare algorithmWeeksDiagnosisCOVID-19Hospital Readmissions Among Infants With Neonatal Opioid Withdrawal Syndrome
Gaither J, Drago M, Grossman M, Li Y, Shabanova V, Xu X, Leventhal J. Hospital Readmissions Among Infants With Neonatal Opioid Withdrawal Syndrome. JAMA Network Open 2024, 7: e2435074. PMID: 39316398, PMCID: PMC11423163, DOI: 10.1001/jamanetworkopen.2024.35074.Peer-Reviewed Original ResearchConceptsNeonatal opioid withdrawal syndromeOpioid withdrawal syndromeWithdrawal syndromeCohort studyHospital readmissionLow birth weightReadmission ratesRetrospective cohort studyIncreased risk of readmissionNationwide Readmissions DatabaseClinical Modification codesGestational ageOdds of readmissionMultiple gestationsFull-termInternational Classification of DiseasesRisk of readmissionHospital discharge recordsBirth weightSurvey-weighted logistic regressionType of insuranceIncreased 5-foldIncreased riskReadmissions DatabaseYear of birthIncorporating 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 cohortMeasuring Equity in Readmission as an Assessment of Hospital Performance—Reply
Weerahandi H, Nash K, Bernheim S. Measuring Equity in Readmission as an Assessment of Hospital Performance—Reply. JAMA 2024, 331: 1677-1678. PMID: 38648068, PMCID: PMC11528418, DOI: 10.1001/jama.2024.4354.Peer-Reviewed Original ResearchEarly prediction of long hospital stay for Intensive Care units readmission patients using medication information
Zhang M, Kuo T. Early prediction of long hospital stay for Intensive Care units readmission patients using medication information. Computers In Biology And Medicine 2024, 174: 108451. PMID: 38603899, PMCID: PMC11385457, DOI: 10.1016/j.compbiomed.2024.108451.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedDatabases, FactualFemaleHumansIntensive Care UnitsLength of StayMachine LearningMaleMiddle AgedPatient ReadmissionConceptsIntensive care unitProlonged ICU LOSAverage doseICU LOSLonger hospital stayReceiver operating characteristic curveLogistic regressionPredicting intensive care unitMedical informationExpected Calibration ErrorSummed dosePatient ageHospital staySupport vector machineCare unitMIMIC-IV databasePatient complicationsCharacteristic curveMedicationRandom forestDosePatient recordsAdmissionReadmission patientsPredictors of follow-up care for critically-ill patients with seizures and epileptiform abnormalities on EEG monitoring
Rice H, Fernandes M, Punia V, Rubinos C, Sivaraju A, Zafar S. Predictors of follow-up care for critically-ill patients with seizures and epileptiform abnormalities on EEG monitoring. Clinical Neurology And Neurosurgery 2024, 241: 108275. PMID: 38640778, PMCID: PMC11167629, DOI: 10.1016/j.clineuro.2024.108275.Peer-Reviewed Original ResearchConceptsNeurological follow-upFollow-up visitFollow-upAntiseizure medicationsOutpatient follow-upCritically-ill patientsContinuous EEGEpileptiform abnormalitiesPredictors of follow-upPrevent long-term complicationsIllness severityYounger ageRetrospective cohort studyLong-term complicationsFollow-up statusIntensive care unitProbability of follow-upHigher illness severityPredictors of readmissionContinuous EEG recordingsRisk stratificationEEG monitoringCohort studyCritically-illCare unitNational Estimates of Short- and Longer-Term Hospital Readmissions After Major Surgery Among Community-Living Older Adults
Wang Y, Leo-Summers L, Vander Wyk B, Davis-Plourde K, Gill T, Becher R. National Estimates of Short- and Longer-Term Hospital Readmissions After Major Surgery Among Community-Living Older Adults. JAMA Network Open 2024, 7: e240028. PMID: 38416499, PMCID: PMC10902728, DOI: 10.1001/jamanetworkopen.2024.0028.Peer-Reviewed Original ResearchConceptsCenters for Medicare & Medicaid ServicesFee-for-serviceMedicare Advantage beneficiariesHospital readmissionUS residentsNational Health and Aging Trends Study dataCommunity-living older adultsProspective longitudinal cohort studyCommunity-living participantsRate of hospital readmissionLikelihood of hospital readmissionPopulation-based estimatesNationally representative estimatesSex-adjusted modelsCommunity-livingData linkageGeriatric conditionsMedicaid ServicesOlder personsOlder adultsMain OutcomesNational estimatesRepresentative estimatesData analysisCohort studyAssociation of marital/partner status with hospital readmission among young adults with acute myocardial infarction.
Zhu C, Dreyer R, Li F, Spatz E, Caraballo C, Mahajan S, Raparelli V, Leifheit E, Lu Y, Krumholz H, Spertus J, D'Onofrio G, Pilote L, Lichtman J. Association of marital/partner status with hospital readmission among young adults with acute myocardial infarction. PLOS ONE 2024, 19: e0287949. PMID: 38277368, PMCID: PMC10817183, DOI: 10.1371/journal.pone.0287949.Peer-Reviewed Original ResearchMeSH KeywordsFemaleHeartHumansMaleMiddle AgedMyocardial InfarctionPatient ReadmissionRisk FactorsSocioeconomic FactorsYoung AdultConceptsMarital/partner statusPsychosocial factorsAcute myocardial infarctionYoung adultsHospital dischargeYear of hospital dischargeYoung acute myocardial infarctionAssociated with 1.3-foldCohort of young adultsLong-term readmissionCox proportional hazards modelsStatus interactionSimilar-aged menMyocardial infarctionProportional hazards modelUnpartnered statusPatient interviewsPhysician panelCardiovascular healthHospital readmissionSocioeconomic factorsAMI survivorsSequential adjustmentCardiac readmissionMultiple imputationMeasuring Equity in Readmission as a Distinct Assessment of Hospital Performance
Nash K, Weerahandi H, Yu H, Venkatesh A, Holaday L, Herrin J, Lin Z, Horwitz L, Ross J, Bernheim S. Measuring Equity in Readmission as a Distinct Assessment of Hospital Performance. JAMA 2024, 331: 111-123. PMID: 38193960, PMCID: PMC10777266, DOI: 10.1001/jama.2023.24874.Peer-Reviewed Original ResearchConceptsBlack patientsPatient populationHospital characteristicsHospital-wide readmission measureDual-eligible patientsHospital patient populationCross-sectional studyMeasures of hospitalHealth care qualityPatient demographicsReadmission ratesClinical outcomesPatient raceEligible hospitalsReadmissionMAIN OUTCOMEReadmission measuresMedicare dataUS hospitalsHospitalCare qualityPatientsMedicaid ServicesOutcomesLower percentage
2023
Fragmentation of Care After Geriatric Trauma: A Nationwide Analysis of outcomes and Predictors
Gogna S, Zangbar B, Rafieezadeh A, Hanna K, Shnaydman I, Con J, Bronstein M, Klein J, Prabhakaran K. Fragmentation of Care After Geriatric Trauma: A Nationwide Analysis of outcomes and Predictors. The American Surgeon 2023, 90: 1007-1014. PMID: 38062751, DOI: 10.1177/00031348231220569.Peer-Reviewed Original ResearchMeSH KeywordsAgedDatabases, FactualFemaleHospitalizationHospitalsHumansPatient ReadmissionPneumoniaRetrospective StudiesRisk FactorsConceptsCongestive heart failureFragmentation of careGeriatric traumaSevere head and neck traumaTrauma patientsHead and neck traumaAssociated with high mortalityMultivariate binary logistic regression analysisElderly trauma patientsMultivariate logistic regressionBinary logistic regression analysisNationwide Readmissions DatabaseLogistic regression analysisTrauma patient outcomesAnalysis of outcomesRate of deathHealth care systemNon-index hospitalsNeck traumaElderly patientsHeart failureIndex hospitalizationReadmissions DatabaseFragmented careFemale genderSurgical management of breast fat necrosis: Multi-institutional data analysis of early outcomes and risk factors for complications
Knoedler S, Knoedler L, Patel H, Diatta F, Camacho J, Sofo G, Perozzo F, Evans B, Mookerjee V, Ayyala H, Pomahac B, Kauke-Navarro M. Surgical management of breast fat necrosis: Multi-institutional data analysis of early outcomes and risk factors for complications. Journal Of Plastic Reconstructive & Aesthetic Surgery 2023, 88: 292-295. PMID: 38029475, DOI: 10.1016/j.bjps.2023.11.015.Peer-Reviewed Original ResearchConceptsBreast fat necrosisChronic heart failureRisk factorsAdverse eventsHeart failureFemale patientsSurgical managementFat necrosisNational Surgical Quality Improvement ProgramSurgical Quality Improvement ProgramHigher wound classPostoperative adverse eventsNon-cancerous conditionsOutcomes of interestQuality Improvement ProgramMajority of casesPerioperative algorithmWound classComplication occurrenceComplication ratePostoperative outcomesSurgical complicationsMedical complicationsSurgical treatmentMultivariable analysisRisk of death and readmission among individuals with heart failure and HIV: A systematic review and meta-analysis
Zhou Y, Zhang X, Gao Y, Alvi R, Erqou S, Chen Y, Wang H, Wang W, Li X, Zanni M, Neilan T, Vermund S, Qian H, Qian F. Risk of death and readmission among individuals with heart failure and HIV: A systematic review and meta-analysis. Journal Of Infection And Public Health 2023, 17: 70-75. PMID: 37992436, DOI: 10.1016/j.jiph.2023.11.004.Peer-Reviewed Original ResearchConceptsHeart failureHF patientsRisk of HFHuman immunodeficiency virus statusPoor HF outcomesRisk of deathWeb of ScienceCause deathCause readmissionHF outcomesAdult patientsCohort studyHIV infectionHIV statusCochrane LibraryIndependent associationVirus statusHigh riskDeath outcomesHIVReadmissionPatientsSystematic reviewSystematic searchRiskUnderstanding the Burden of 30-Day Readmission in Patients With Both Primary and Secondary Diagnoses of Heart Failure: Causes, Timing, and Impact of Co-Morbidities
Kim M, Aseltine R, Tabtabai S. Understanding the Burden of 30-Day Readmission in Patients With Both Primary and Secondary Diagnoses of Heart Failure: Causes, Timing, and Impact of Co-Morbidities. The American Journal Of Cardiology 2023, 210: 76-84. PMID: 37858595, DOI: 10.1016/j.amjcard.2023.09.086.Peer-Reviewed Original ResearchMeSH KeywordsAftercareHeart FailureHumansMaleMorbidityPatient DischargePatient ReadmissionRetrospective StudiesRisk FactorsPredictors of 30-Day Readmission in Patients Hospitalized With Heart Failure as a Primary Versus Secondary Diagnosis
Kim M, Tabtabai S, Aseltine R. Predictors of 30-Day Readmission in Patients Hospitalized With Heart Failure as a Primary Versus Secondary Diagnosis. The American Journal Of Cardiology 2023, 207: 407-417. PMID: 37782972, DOI: 10.1016/j.amjcard.2023.08.111.Peer-Reviewed Original ResearchMeSH KeywordsComorbidityHeart FailureHospitalizationHumansPatient ReadmissionRetrospective StudiesRisk FactorsConceptsElixhauser co-morbidity indexHeart failureMultivariate logistic regressionCo-morbiditiesSecondary diagnosisPatients admitted with HFPatient co-morbiditiesAdmitted with HFDetrimental to patientsPopulation of patientsLogistic regressionCo-morbidity indexReadmission riskDiagnosis of HFSecondary diagnosis of HFNationwide Readmissions DatabaseCo-morbid complicationsRenal failureComparing patientsShort-term rehospitalizationHF patientsStatistically significant predictorsPredicting 30-day readmissionIncreased riskElixhauser co-morbiditiesAssociation of short-term hospital-level outcome metrics with 1-year mortality and recurrence for US Medicare beneficiaries with ischemic stroke
Wang Y, Leifheit E, Goldstein L, Lichtman J. Association of short-term hospital-level outcome metrics with 1-year mortality and recurrence for US Medicare beneficiaries with ischemic stroke. PLOS ONE 2023, 18: e0289790. PMID: 37561680, PMCID: PMC10414659, DOI: 10.1371/journal.pone.0289790.Peer-Reviewed Original ResearchConceptsIschemic strokeInverse probability weightsStroke patientsCause mortalityOutcome metricsLower riskUS hospitalsBetter long-term outcomesRecurrent stroke rateIschemic stroke recurrenceIschemic stroke patientsLong-term outcomesUS Medicare beneficiariesPerformance categoriesIntermediate hospitalsRecurrent strokeStroke recurrenceCohort studyClinical factorsRecurrence ratePrincipal diagnosisPatient riskStroke rateReadmission measuresCox modelRates and reasons for hospital readmission after acute ischemic stroke in a US population-based cohort
Zhou L, Lansberg M, de Havenon A. Rates and reasons for hospital readmission after acute ischemic stroke in a US population-based cohort. PLOS ONE 2023, 18: e0289640. PMID: 37535655, PMCID: PMC10399731, DOI: 10.1371/journal.pone.0289640.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedDatabases, FactualHumansIschemic StrokeMedicarePatient ReadmissionRetrospective StudiesRisk FactorsSepsisStrokeUnited StatesConceptsAcute ischemic strokeAcute renal failureHospital readmissionIschemic strokeReadmission ratesRenal failureRisk factorsUS population-based cohortUnplanned hospital readmissionNationwide Readmissions DatabaseRisk of readmissionVascular risk factorsHospital-level characteristicsPopulation-based cohortKaplan-Meyer analysisWorsened patient outcomesState administrative databasesModifiable comorbiditiesRecurrent strokeInitial hospitalizationDisadvantaged patientsLonger initial lengthMedicare insuranceAIS patientsSecondary stroke
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