2023
Frequency, Type, and Degree of Potential Harm of Adverse Safety Events among Pediatric Emergency Medical Services Encounters
Cicero M, Baird J, Brown L, Auerbach M, Adelgais K. Frequency, Type, and Degree of Potential Harm of Adverse Safety Events among Pediatric Emergency Medical Services Encounters. Prehospital Emergency Care 2023, 28: 883-889. PMID: 37698357, DOI: 10.1080/10903127.2023.2257775.Peer-Reviewed Original ResearchAdverse safety eventsDiagnosis/EMS encountersFluid administrationPediatric encountersSafety eventsCare categoriesClinical decisionEmergency medical services (EMS) patientsMedical service patientsCross-sectional studyPotential harmMedical service encountersChart reviewHospital recordsService patientsPrehospital recordsEMS patientsMedication administrationUnintended injuryFrequent associationPatientsClinical interventionsHarm severityEMS agencies
2021
Billing patterns for in-office computerized tomography scans of the face/sinus by otolaryngologists
Patel R, Torabi S, Kasle D, Narwani V, Manes R. Billing patterns for in-office computerized tomography scans of the face/sinus by otolaryngologists. American Journal Of Otolaryngology 2021, 42: 103140. PMID: 34175773, DOI: 10.1016/j.amjoto.2021.103140.Peer-Reviewed Original ResearchConceptsComputerized tomography scanCT scanTomography scanMedicare reimbursementMedicare FFS patientsMedicare FFS populationNumber of patientsFFS patientsRetrospective studyService patientsPathologic diagnosisMedian numberFFS populationPatient convenienceMedicare feeMedicare Part BOtolaryngologistsPractice settingsPreoperative planningPatientsBilling patternsProvider UtilizationScansCTMedicareRole and Growth of Independent Medicare‐Billing Otolaryngologic Advanced Practice Providers
Patel R, Torabi S, Kasle D, Pivirotto A, Manes R. Role and Growth of Independent Medicare‐Billing Otolaryngologic Advanced Practice Providers. Otolaryngology 2021, 165: 809-815. PMID: 33687283, DOI: 10.1177/0194599821994820.Peer-Reviewed Original ResearchConceptsAdvanced practice providersPractice providersRetrospective cross-sectional studyMedicare FFS patientsNumber of patientsCross-sectional studyMedicare reimbursementScope of practiceFFS patientsRetrospective reviewService patientsSex distributionMedicare populationMedicare feeMedicare Provider UtilizationPatientsCurrent ProceduralTotal MedicareProvider UtilizationTotal numberPhysiciansRural settingsMedicareReimbursementMedian
2020
Trends in Reoperative Coronary Artery Bypass Graft Surgery for Older Adults in the United States, 1998 to 2017
Mori M, Wang Y, Murugiah K, Khera R, Gupta A, Vallabhajosyula P, Masoudi FA, Geirsson A, Krumholz HM. Trends in Reoperative Coronary Artery Bypass Graft Surgery for Older Adults in the United States, 1998 to 2017. Journal Of The American Heart Association 2020, 9: e016980. PMID: 33045889, PMCID: PMC7763387, DOI: 10.1161/jaha.120.016980.Peer-Reviewed Original ResearchConceptsCoronary artery bypass graft surgeryFirst-time coronary artery bypass graft surgeryArtery bypass graft surgeryBypass graft surgeryGraft surgeryMedicare feeOlder adultsPatient baseline characteristicsData of adultsYear of dischargeProportion of womenService inpatientsIndex surgeryBaseline characteristicsHospital dischargeOlder patientsMedian agePrimary outcomeCox regressionService patientsUnique patientsPatientsSurgeryAnnual declineDemographic subgroupsQuality of informed consent documents among US. hospitals: a cross-sectional study
Spatz ES, Bao H, Herrin J, Desai V, Ramanan S, Lines L, Dendy R, Bernheim SM, Krumholz HM, Lin Z, Suter LG. Quality of informed consent documents among US. hospitals: a cross-sectional study. BMJ Open 2020, 10: e033299. PMID: 32434934, PMCID: PMC7247389, DOI: 10.1136/bmjopen-2019-033299.Peer-Reviewed Original ResearchConceptsInformed consent documentsHOSPITAL scoreUS hospitalsMean hospital scoresRetrospective observational studyConsent documentsCross-sectional studyEight-item instrumentService patientsElective proceduresProcedure typeObservational studySurgical proceduresMedicare feeHospitalHospital qualityMeasure scoresInformed consentMost hospitalsSpearman correlationScoresFace validityIndependent ratersOutcomesStakeholder feedbackAssociation Between Medicare Expenditures and Adverse Events for Patients With Acute Myocardial Infarction, Heart Failure, or Pneumonia in the United States
Wang Y, Eldridge N, Metersky ML, Sonnenfeld N, Rodrick D, Fine JM, Eckenrode S, Galusha DH, Tasimi A, Hunt DR, Bernheim SM, Normand ST, Krumholz HM. Association Between Medicare Expenditures and Adverse Events for Patients With Acute Myocardial Infarction, Heart Failure, or Pneumonia in the United States. JAMA Network Open 2020, 3: e202142. PMID: 32259263, PMCID: PMC7139276, DOI: 10.1001/jamanetworkopen.2020.2142.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMedicare Patient Safety Monitoring SystemAdverse event ratesAdverse eventsHeart failureMedicare expendituresService patientsMyocardial infarctionMedicare feeEvent ratesHigher adverse event ratesCare expendituresRisk-standardized ratesPatients 65 yearsAdverse event dataAcute care hospitalsCross-sectional studyFinal study sampleInpatient care expendituresRate of occurrenceDates of analysisPatient characteristicsCare hospitalMean ageInpatient careAssociation Between Subsequent Hospitalizations and Recurrent Acute Myocardial Infarction Within 1 Year After Acute Myocardial Infarction
Wang Y, Leifheit E, Normand S, Krumholz HM. Association Between Subsequent Hospitalizations and Recurrent Acute Myocardial Infarction Within 1 Year After Acute Myocardial Infarction. Journal Of The American Heart Association 2020, 9: e014907. PMID: 32172654, PMCID: PMC7335517, DOI: 10.1161/jaha.119.014907.Peer-Reviewed Original ResearchConceptsRecurrent acute myocardial infarctionAcute myocardial infarctionIndex acute myocardial infarctionClinical Classification SoftwareMyocardial infarctionDisease categoriesRisk of deathCox regression modelPost-acute careAcute care hospitalsOccurrence of hospitalizationLow recurrence riskUnplanned rehospitalizationSubsequent hospitalizationBackground PatientsHazard ratioPatient characteristicsSecondary preventionMedian timeService patientsChronic diseasesPatient riskOutcome measuresRehospitalizationHigh risk
2018
National and Regional Trends in Deep Vein Thrombosis Hospitalization Rates, Discharge Disposition, and Outcomes for Medicare Beneficiaries
Minges KE, Bikdeli B, Wang Y, Attaran RR, Krumholz HM. National and Regional Trends in Deep Vein Thrombosis Hospitalization Rates, Discharge Disposition, and Outcomes for Medicare Beneficiaries. The American Journal Of Medicine 2018, 131: 1200-1208. PMID: 29753792, PMCID: PMC7040884, DOI: 10.1016/j.amjmed.2018.04.033.Peer-Reviewed Original ResearchConceptsDeep vein thrombosisHospitalization ratesVein thrombosisBlack patientsMedicare Standard Analytic FilesProportion of patientsPrincipal discharge diagnosisStandard Analytic FilesSecondary prevention effortsDischarge dispositionHospital lengthInpatient managementReadmission ratesDischarge diagnosisService patientsAdjusted outcomesOutpatient careAnalytic FilesMedicare feeMedicare beneficiariesMortality rateClinical practiceHospitalizationPatientsThrombosis
2017
Trends in readmission rates for safety net hospitals and non-safety net hospitals in the era of the US Hospital Readmission Reduction Program: a retrospective time series analysis using Medicare administrative claims data from 2008 to 2015
Salerno AM, Horwitz LI, Kwon JY, Herrin J, Grady JN, Lin Z, Ross JS, Bernheim SM. Trends in readmission rates for safety net hospitals and non-safety net hospitals in the era of the US Hospital Readmission Reduction Program: a retrospective time series analysis using Medicare administrative claims data from 2008 to 2015. BMJ Open 2017, 7: e016149. PMID: 28710221, PMCID: PMC5541519, DOI: 10.1136/bmjopen-2017-016149.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramNon-safety net hospitalsSafety-net hospitalMedicare administrative claims dataReadmission ratesAdministrative claims dataNet hospitalReadmissions Reduction ProgramRetrospective time series analysisSafety netClaims dataTime series analysisSocioeconomic statusUnplanned readmission ratePrincipal discharge diagnosisLow socioeconomic statusInterrupted time seriesReduction programsFive-digit zip codeSeries analysisHRRP penaltiesIndex admissionHospital proportionDischarge diagnosisService patientsAssociations between nursing home performance and hospital 30‐day readmissions for acute myocardial infarction, heart failure and pneumonia at the healthcare community level in the United States
Pandolfi MM, Wang Y, Spenard A, Johnson F, Bonner A, Ho S, Elwell T, Bakullari A, Galusha D, Leifheit‐Limson E, Lichtman JH, Krumholz HM. Associations between nursing home performance and hospital 30‐day readmissions for acute myocardial infarction, heart failure and pneumonia at the healthcare community level in the United States. International Journal Of Older People Nursing 2017, 12 PMID: 28516505, DOI: 10.1111/opn.12154.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionReadmission ratesHeart failureNursing homesService patientsMyocardial infarctionMedicare feeLower hospital readmission ratesHospital readmission ratesNurse staffing measuresAcute care hospitalsCross-sectional studyHospital service areasFive-Star Quality Rating SystemNursing home performanceUnplanned readmissionCare hospitalReadmission dataCommunity-based service providersCare teamMedicare patientsReadmissionStaffing measuresPatientsPneumoniaAddition of Blood Pressure and Weight Transmissions to Standard Remote Monitoring of Implantable Defibrillators and its Association with Mortality and Rehospitalization
Al-Chekakie MO, Bao H, Jones PW, Stein KM, Marzec L, Varosy PD, Masoudi FA, Curtis JP, Akar JG. Addition of Blood Pressure and Weight Transmissions to Standard Remote Monitoring of Implantable Defibrillators and its Association with Mortality and Rehospitalization. Circulation Cardiovascular Quality And Outcomes 2017, 10 PMID: 28506978, DOI: 10.1161/circoutcomes.116.003087.Peer-Reviewed Original ResearchConceptsBlood pressure dataImplantable defibrillatorsRemote patient monitoringTransmission of weightHeart failure hospitalizationImpaired ejection fractionCardiac resynchronization therapyCox regression modelRisk of mortalityLogistic regression modelsRoutine weightCause hospitalizationFailure hospitalizationBlood pressureCardiovascular hospitalizationEjection fractionResynchronization therapyRegression modelsDevice implantationService patientsHospital characteristicsIndependent associationImproved outcomesLandmark analysisSimilar risk
2016
Association Between Hospital Penalty Status Under the Hospital Readmission Reduction Program and Readmission Rates for Target and Nontarget Conditions
Desai NR, Ross JS, Kwon JY, Herrin J, Dharmarajan K, Bernheim SM, Krumholz HM, Horwitz LI. Association Between Hospital Penalty Status Under the Hospital Readmission Reduction Program and Readmission Rates for Target and Nontarget Conditions. JAMA 2016, 316: 2647-2656. PMID: 28027367, PMCID: PMC5599851, DOI: 10.1001/jama.2016.18533.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramAcute myocardial infarctionReadmission ratesReadmissions Reduction ProgramHeart failurePenalty statusNontarget conditionsMedicare feeMean readmission rateThirty-day riskRetrospective cohort studyUnplanned readmission rateReduction programsHRRP announcementHRRP implementationPenalized hospitalsCohort studyService patientsMyocardial infarctionMAIN OUTCOMEExcess readmissionsMedicare beneficiariesService beneficiariesHospitalPatientsAssociation Between Hospital Performance on Patient Safety and 30‐Day Mortality and Unplanned Readmission for Medicare Fee‐for‐Service Patients With Acute Myocardial Infarction
Wang Y, Eldridge N, Metersky ML, Sonnenfeld N, Fine JM, Pandolfi MM, Eckenrode S, Bakullari A, Galusha DH, Jaser L, Verzier NR, Nuti SV, Hunt D, Normand S, Krumholz HM. Association Between Hospital Performance on Patient Safety and 30‐Day Mortality and Unplanned Readmission for Medicare Fee‐for‐Service Patients With Acute Myocardial Infarction. Journal Of The American Heart Association 2016, 5: e003731. PMID: 27405808, PMCID: PMC5015406, DOI: 10.1161/jaha.116.003731.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCause of DeathCenters for Medicare and Medicaid Services, U.S.Fee-for-Service PlansFemaleHospitalsHospitals, RuralHospitals, VoluntaryHumansMaleMedicareMortalityMyocardial InfarctionPatient ReadmissionPatient SafetyPrognosisUnited StatesUnited States Agency for Healthcare Research and QualityConceptsAcute myocardial infarctionUnplanned readmission rateMedicare Patient Safety Monitoring SystemRisk-Standardized MortalityAdverse eventsReadmission ratesService patientsMedicare feeUnplanned readmissionMyocardial infarctionMedicare patientsPatient safetyHospital performanceMore adverse eventsAdverse event ratesAcute care hospitalsPatient safety dataHospital mortalityAdverse event measuresCause mortalityOccurrence rateCare hospitalHospital characteristicsReadmission dataPatient safety performanceLong-Term Risk for Device-Related Complications and Reoperations After Implantable Cardioverter-Defibrillator Implantation: An Observational Cohort Study.
Ranasinghe I, Parzynski CS, Freeman JV, Dreyer RP, Ross JS, Akar JG, Krumholz HM, Curtis JP. Long-Term Risk for Device-Related Complications and Reoperations After Implantable Cardioverter-Defibrillator Implantation: An Observational Cohort Study. Annals Of Internal Medicine 2016, 165: 20-29. PMID: 27135392, DOI: 10.7326/m15-2732.Peer-Reviewed Original ResearchICD-related complicationsNational Cardiovascular Data RegistryObservational cohort studyDevice-related complicationsICD implantationLong-term riskCohort studyMedicare feeNational Cardiovascular Data Registry ICD RegistryImplantable cardioverter defibrillator implantationImplantable cardioverter-defibrillator placementCardioverter-defibrillator implantationService claims dataCRT-D devicesSingle-chamber devicesCumulative incidenceNonfatal outcomesICD RegistryService patientsBlack raceFemale sexReoperationAmerican CollegeClaims dataComplicationsQuasi-Experimental Evaluation of the Effectiveness of a Large-Scale Readmission Reduction Program
Jenq GY, Doyle MM, Belton BM, Herrin J, Horwitz LI. Quasi-Experimental Evaluation of the Effectiveness of a Large-Scale Readmission Reduction Program. JAMA Internal Medicine 2016, 176: 681. PMID: 27065180, DOI: 10.1001/jamainternmed.2016.0833.Peer-Reviewed Original ResearchConceptsDischarge patientsReadmissions Reduction ProgramControl populationReadmission ratesIntervention periodSame-hospital readmission ratesUrban academic medical centerTarget populationAdjusted readmission ratesOdds of readmissionHigh-risk patientsZip codesAdjusted admission ratesInterrupted time series analysisAcademic medical centerQuasi-experimental evaluationLogistic regression modelsReduction programsDischarge dispositionReadmission reduction effortsComparative interrupted time series analysisMedication reconciliationService patientsMean ageTransitional care
2015
National Trends in Hospital Readmission Rates among Medicare Fee-for-Service Survivors of Mitral Valve Surgery, 1999–2010
Dodson JA, Wang Y, Murugiah K, Dharmarajan K, Cooper Z, Hashim S, Nuti SV, Spatz E, Desai N, Krumholz HM. National Trends in Hospital Readmission Rates among Medicare Fee-for-Service Survivors of Mitral Valve Surgery, 1999–2010. PLOS ONE 2015, 10: e0132470. PMID: 26147225, PMCID: PMC4493110, DOI: 10.1371/journal.pone.0132470.Peer-Reviewed Original ResearchConceptsMitral valve surgeryLength of stayHospital LOSReadmission ratesHospital readmission ratesOlder patientsHospital readmissionMedicare feeMean hospital LOSSurvival rateProportional hazards regressionYears of ageValve surgeryHazards regressionService patientsWorse outcomesAge subgroupsPatientsOlder adultsSurvivorsNational trendsReadmissionModest declineWomenSubgroupsUse of Remote Monitoring Is Associated With Lower Risk of Adverse Outcomes Among Patients With Implanted Cardiac Defibrillators
Akar JG, Bao H, Jones PW, Wang Y, Varosy PD, Masoudi FA, Stein KM, Saxon LA, Normand SL, Curtis JP. Use of Remote Monitoring Is Associated With Lower Risk of Adverse Outcomes Among Patients With Implanted Cardiac Defibrillators. Circulation Arrhythmia And Electrophysiology 2015, 8: 1173-1180. PMID: 26092577, DOI: 10.1161/circep.114.003030.Peer-Reviewed Original ResearchConceptsImplantable cardioverter defibrillatorInitial implantable cardioverter defibrillatorCause mortalityLower riskAdverse outcomesNational Cardiovascular Data Registry ICD RegistryRemote patient monitoringSocial Security Death Master FileCause rehospitalization rateRisk of rehospitalizationImplanted cardiac defibrillatorsDeath Master FileCardiomyopathy pathogenesisCause rehospitalizationICD RegistryRehospitalization ratesMultivariable analysisStudy cohortVital statusService patientsCardioverter defibrillatorCox modelMedicare populationMedicare feePatients
2014
Trends in Hospitalizations and Outcomes for Acute Cardiovascular Disease and Stroke, 1999–2011
Krumholz HM, Normand SL, Wang Y. Trends in Hospitalizations and Outcomes for Acute Cardiovascular Disease and Stroke, 1999–2011. Circulation 2014, 130: 966-975. PMID: 25135276, PMCID: PMC4171056, DOI: 10.1161/circulationaha.113.007787.Peer-Reviewed Original ResearchConceptsAcute cardiovascular diseaseCardiovascular diseaseIschemic strokeUnstable anginaHeart failureMyocardial infarctionNational Medicare dataYears of ageQuality of careDemographic subgroupsReadmission outcomesHospitalization ratesMortality overallService patientsCardiovascular conditionsAdjusted ratesHospitalizationMedicare dataMortality rateStrokeMortalityDiseaseAnginaReadmissionInfarctionTransfer Rates From Nonprocedure Hospitals After Initial Admission and Outcomes Among Elderly Patients With Acute Myocardial Infarction
Barreto-Filho JA, Wang Y, Rathore SS, Spatz ES, Ross JS, Curtis JP, Nallamothu BK, Normand SL, Krumholz HM. Transfer Rates From Nonprocedure Hospitals After Initial Admission and Outcomes Among Elderly Patients With Acute Myocardial Infarction. JAMA Internal Medicine 2014, 174: 213-222. PMID: 24296747, DOI: 10.1001/jamainternmed.2013.11944.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionCoronary artery bypass graft surgeryArtery bypass graft surgeryRisk-standardized mortality ratesBypass graft surgeryPercutaneous coronary interventionLength of stayMyocardial infarctionElderly patientsGraft surgeryRevascularization ratesCoronary interventionMortality rateLower risk-standardized mortality ratesRate of catheterizationHospital transfer ratesInvasive cardiac proceduresTransfer of patientsRisk-Standardized MortalityHospital outcomesInitial admissionMedian lengthService patientsCardiac proceduresHospital differences
2012
Outcomes for Mitral Valve Surgery Among Medicare Fee-for-Service Beneficiaries, 1999 to 2008
Dodson JA, Wang Y, Desai MM, Barreto-Filho JA, Sugeng L, Hashim SW, Krumholz HM. Outcomes for Mitral Valve Surgery Among Medicare Fee-for-Service Beneficiaries, 1999 to 2008. Circulation Cardiovascular Quality And Outcomes 2012, 5: 298-307. PMID: 22576847, PMCID: PMC3400109, DOI: 10.1161/circoutcomes.112.966077.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overChi-Square DistributionFee-for-Service PlansFemaleHealthcare DisparitiesHeart Valve DiseasesHeart Valve Prosthesis ImplantationHospital MortalityHospitalizationHumansLinear ModelsMaleMedicareMitral ValveOdds RatioPatient ReadmissionQuality ImprovementRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsMitral valve surgeryValve surgeryMitral valve repairFFS patientsHospitalization ratesValve repairMedicare feeMedicare Standard Analytic FilesMedicare FFS patientsRisk-standardized ratesProportion of patientsStandard Analytic FilesVital Status filesNational surveillance dataMedicare administrative dataSubstantial morbidityMortality outcomesService patientsAnalytic FilesMortality riskMortality rateSurgeryPatientsDenominator fileReadmission
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