2019
Institutional Variation in Quality of Cardiovascular Implantable Electronic Device Implantation: A Cohort Study.
Ranasinghe I, Labrosciano C, Horton D, Ganesan A, Curtis JP, Krumholz HM, McGavigan A, Hossain S, Air T, Hariharaputhiran S. Institutional Variation in Quality of Cardiovascular Implantable Electronic Device Implantation: A Cohort Study. Annals Of Internal Medicine 2019, 171: 309-317. PMID: 31357210, DOI: 10.7326/m18-2810.Peer-Reviewed Original ResearchMeSH KeywordsAgedAustraliaDefibrillators, ImplantableFemaleHospitalsHumansMaleNew ZealandPacemaker, ArtificialQuality Assurance, Health CareRisk FactorsConceptsCardiovascular implantable electronic devicesComplication rateCohort studyCIED complicationsCardiovascular implantable electronic device (CIED) implantationMajor device-related complicationsDays of dischargeDevice-related complicationsProcedure-related complicationsImplantable electronic devicesPPM implantationMajor complicationsICD placementDevice implantationElective proceduresComplicationsHospitalCare qualityStudy periodPatientsAdministrative dataInstitutional variationNational averageImplantationAssociation of Statewide Certificate of Need Regulations With Percutaneous Coronary Intervention Appropriateness and Outcomes
Chui PW, Parzynski CS, Ross JS, Desai NR, Gurm HS, Spertus JA, Seto AH, Ho V, Curtis JP. Association of Statewide Certificate of Need Regulations With Percutaneous Coronary Intervention Appropriateness and Outcomes. Journal Of The American Heart Association 2019, 8: e010373. PMID: 30642222, PMCID: PMC6497347, DOI: 10.1161/jaha.118.010373.Peer-Reviewed Original ResearchConceptsAcute coronary syndromePercutaneous coronary interventionPCI proceduresCON statesAppropriate use criteriaNon-CON statesCoronary syndromePCI registryCoronary interventionCON regulationsIntervention appropriatenessChi-square analysisAmerican CollegeHealthcare costsNeed regulationsPCI appropriatenessUse criteriaAbsolute differenceHealthcare servicesNew healthcare servicesAssociationPCILower proportionOutcomesACS
2015
Assessing Hospital Performance for Acute Myocardial Infarction
Samadashvili Z, Hannan EL, Cozzens K, Walford G, Jacobs AK, Berger PB, Holmes DR, Venditti FJ, Curtis J. Assessing Hospital Performance for Acute Myocardial Infarction. Medical Care 2015, 53: 245-252. PMID: 25675402, DOI: 10.1097/mlr.0000000000000305.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesNon-PCI hospitalsPercutaneous coronary interventionAcute myocardial infarctionED transfersMyocardial infarctionMortality rateAcute myocardial infarction patientsMedicaid ServicesEmergency department transfersHospital outlier statusRisk-adjusted hospitalMyocardial infarction patientsQuality of careHospital quality assessmentDepartment transfersCoronary interventionPCI hospitalsInfarction patientsInpatient transfersHospitalDifferent hospitals
2014
Clinical Prediction Model Suitable for Assessing Hospital Quality for Patients Undergoing Carotid Endarterectomy
Wimmer NJ, Spertus JA, Kennedy KF, Anderson HV, Curtis JP, Weintraub WS, Singh M, Rumsfeld JS, Masoudi FA, Yeh RW. Clinical Prediction Model Suitable for Assessing Hospital Quality for Patients Undergoing Carotid Endarterectomy. Journal Of The American Heart Association 2014, 3: e000728. PMID: 24938712, PMCID: PMC4309056, DOI: 10.1161/jaha.113.000728.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overEndarterectomy, CarotidFemaleHospitalsHumansLogistic ModelsMaleModels, StatisticalQuality Assurance, Health CareRegistriesStrokeUnited StatesConceptsCarotid artery revascularizationCarotid endarterectomyHospital strokeHospital qualityArtery diseaseCEA scoreNew York Heart Association class IIIHospital risk-adjusted outcomesPrimary end-point eventPrior peripheral artery diseaseContralateral carotid occlusionHospital-level clusteringSymptomatic carotid lesionsPeripheral artery diseaseEnd-point eventsCoronary artery diseaseModerate discriminative abilityRisk-adjusted outcomesClinical prediction modelHierarchical logistic regressionArtery revascularizationEndarterectomy (CARE) RegistryAppropriate risk adjustmentCarotid occlusionDiabetes mellitus
2012
Hospital strategies for reducing risk-standardized mortality rates in acute myocardial infarction.
Bradley EH, Curry LA, Spatz ES, Herrin J, Cherlin EJ, Curtis JP, Thompson JW, Ting HH, Wang Y, Krumholz HM. Hospital strategies for reducing risk-standardized mortality rates in acute myocardial infarction. Annals Of Internal Medicine 2012, 156: 618-26. PMID: 22547471, PMCID: PMC3386642, DOI: 10.7326/0003-4819-156-9-201205010-00003.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionLower risk-standardized mortality ratesMyocardial infarctionNurse championsMortality rateHospital strategiesHospital risk-standardized mortality ratesHospital-level factorsIntensive care unitAcute care hospitalsCardiac catheterization laboratoryCross-sectional surveyUnited Health FoundationCare hospitalCare unitCross-sectional designAMI casesAMI volumeCatheterization laboratoryHospital cliniciansHospitalMultivariate analysisPatientsHealth Foundation
2011
ACCF/AHA Methodology for the Development of Quality Measures for Cardiovascular Technology
Bonow RO, Douglas PS, Buxton AE, Cohen DJ, Curtis JP, Delong E, Drozda JP, Ferguson TB, Heidenreich PA, Hendel RC, Masoudi FA, Peterson ED, Taylor AJ. ACCF/AHA Methodology for the Development of Quality Measures for Cardiovascular Technology. Circulation 2011, 124: 1483-1502. PMID: 21875906, DOI: 10.1161/cir.0b013e31822935fc.Peer-Reviewed Original ResearchMeSH KeywordsAmerican Heart AssociationCardiologyCardiovascular DiseasesDiagnostic Techniques, CardiovascularHumansPractice Guidelines as TopicQuality Assurance, Health CareUnited StatesConceptsAmerican Heart AssociationGuideline recommendationsCardiovascular careACCF/AHA guidelinesCardiovascular technologyClass IAppropriate use criteriaUse measuresTask ForcePublic reportingParameters of careStrength of evidenceAHA guidelinesHeart AssociationSafety measuresCardiovascular diseaseCardiology FoundationAmerican CollegeSpecific indicationsPatient safetyUse criteriaEvaluation of qualityCardiac imagingClinical topicsHealthcare quality
2010
Trends in Race-Based Differences in Door-to-Balloon Times
Curtis JP, Herrin J, Bratzler DW, Bradley EH, Krumholz HM. Trends in Race-Based Differences in Door-to-Balloon Times. JAMA Internal Medicine 2010, 170: 992-993. PMID: 20548015, DOI: 10.1001/archinternmed.2010.165.Peer-Reviewed Original Research
2009
National Efforts to Improve Door-to-Balloon Time Results From the Door-to-Balloon Alliance
Bradley EH, Nallamothu BK, Herrin J, Ting HH, Stern AF, Nembhard IM, Yuan CT, Green JC, Kline-Rogers E, Wang Y, Curtis JP, Webster TR, Masoudi FA, Fonarow GC, Brush JE, Krumholz HM. National Efforts to Improve Door-to-Balloon Time Results From the Door-to-Balloon Alliance. Journal Of The American College Of Cardiology 2009, 54: 2423-2429. PMID: 20082933, DOI: 10.1016/j.jacc.2009.11.003.Peer-Reviewed Original ResearchMeSH KeywordsAngioplasty, Balloon, CoronaryEfficiency, OrganizationalHospitalizationHospitalsHumansLongitudinal StudiesMyocardial InfarctionQuality Assurance, Health CareRegistriesTime FactorsUnited StatesConceptsST-segment elevation myocardial infarctionD2B AllianceBalloon (D2B) AllianceHospital presentationD2B timeNational Cardiovascular Data Registry CathPCI RegistryPrimary percutaneous coronary interventionElevation myocardial infarctionPercutaneous coronary interventionLikelihood of patientsCathPCI RegistryCoronary interventionBalloon timeMyocardial infarctionAmerican CollegePatientsHospitalLongitudinal studyNational Quality CampaignOne-halfPresentationMinNational effortsInfarctionRegistry