2020
Visualizing implementation: contextual and organizational support mapping of stakeholders (COSMOS)
Bernstein SL, Weiss J, Curry L. Visualizing implementation: contextual and organizational support mapping of stakeholders (COSMOS). Implementation Science Communications 2020, 1: 48. PMID: 32885204, PMCID: PMC7427961, DOI: 10.1186/s43058-020-00030-8.Peer-Reviewed Original ResearchHospital-based studyUnit of randomizationElectronic health recordsAdult smokersPhysician behaviorOrder setsHealthcare settingsHealth recordsHospital administrationImplementation sciencePhysiciansKey stakeholdersImplementation projectQualitative interviewsScreen promptsSmokersPatientsHospitalAdditional attentionImplementation teamAdministrationLevel of supportAn instrument for assessing the quality of informed consent documents for elective procedures: development and testing
Spatz ES, Suter LG, George E, Perez M, Curry L, Desai V, Bao H, Geary LL, Herrin J, Lin Z, Bernheim SM, Krumholz HM. An instrument for assessing the quality of informed consent documents for elective procedures: development and testing. BMJ Open 2020, 10: e033297. PMID: 32434933, PMCID: PMC7247404, DOI: 10.1136/bmjopen-2019-033297.Peer-Reviewed Original Research
2016
Interventions for Reducing Hospital Readmission Rates: The Role of Hospice and Palliative Care
Cherlin EJ, Brewster AL, Curry LA, Canavan ME, Hurzeler R, Bradley EH. Interventions for Reducing Hospital Readmission Rates: The Role of Hospice and Palliative Care. American Journal Of Hospice And Palliative Medicine® 2016, 34: 748-753. PMID: 27443281, DOI: 10.1177/1049909116660276.Peer-Reviewed Original ResearchConceptsRisk of readmissionHospital readmission ratesPalliative careUse of hospiceReadmission ratesIntegration of hospiceHospital site visitsRole of hospicePosthospital settingUnplanned readmissionHospice servicesHospital staffPatientsStudy of hospitalsSecondary analysisReadmissionHospitalHospiceClinical groupsCareAppropriate useConstant comparative methodDiscussion guideRiskStandard discussion guideWhat Works in Readmissions Reduction
Brewster AL, Cherlin EJ, Ndumele CD, Collins D, Burgess JF, Charns MP, Bradley EH, Curry LA. What Works in Readmissions Reduction. Medical Care 2016, 54: 600-607. PMID: 27050446, DOI: 10.1097/mlr.0000000000000530.Peer-Reviewed Original ResearchConceptsReadmission ratesReadmission reductionClinical practiceClinical practice changesQuality improvement initiativesSpecific clinical practicesQuality improvement expertiseReadmission reduction effortsAvoidable readmissionsWorse outcomesReadmissionHospital staffHospitalHospital departmentsPractice changeImprovement initiativesQualitative studyFocused effortsPatientsTrialsCare
2014
Hospital Strategy Uptake and Reductions in Unplanned Readmission Rates for Patients with Heart Failure: A Prospective Study
Bradley EH, Sipsma H, Horwitz LI, Ndumele CD, Brewster AL, Curry LA, Krumholz HM. Hospital Strategy Uptake and Reductions in Unplanned Readmission Rates for Patients with Heart Failure: A Prospective Study. Journal Of General Internal Medicine 2014, 30: 605-611. PMID: 25523470, PMCID: PMC4395590, DOI: 10.1007/s11606-014-3105-5.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesUnplanned readmission rateUptake of strategiesReadmission ratesHeart failureProspective studyGreater reductionAvoidable Rehospitalizations (STAAR) initiativeSame time pointsFinal analytic sampleParticipantsThe studyMain MeasuresWeHospitalPatientsWeb-based surveyAnalytic sampleTime pointsBaselineHospital strategiesSignificant reductionOne-quarterMonthsMore strategiesNational sampleAssociationStrategies to reduce hospital 30-day risk-standardized mortality rates for patients with acute myocardial infarction: a cross-sectional and longitudinal survey
Bradley EH, Sipsma H, Brewster AL, Krumholz HM, Curry L. Strategies to reduce hospital 30-day risk-standardized mortality rates for patients with acute myocardial infarction: a cross-sectional and longitudinal survey. BMC Cardiovascular Disorders 2014, 14: 126. PMID: 25252826, PMCID: PMC4182840, DOI: 10.1186/1471-2261-14-126.Peer-Reviewed Original ResearchMeSH KeywordsCooperative BehaviorCross-Sectional StudiesEmergency Medical ServicesEmergency Medical TechniciansHealth Care SurveysHospital MortalityHospitalsHumansInservice TrainingInterdisciplinary CommunicationLongitudinal StudiesMedical Order Entry SystemsMyocardial InfarctionOrganizational CulturePatient Care TeamQuality ImprovementQuality Indicators, Health CareTime FactorsUnited StatesConceptsAcute myocardial infarctionAMI mortality ratesPercentage of hospitalsMortality rateMyocardial infarctionAMI mortalityHospital AMI mortality ratesRisk-standardized mortality ratesEmergency medical services (EMS) providersHospital strategiesCross-sectional surveyPhysician order entryBackgroundSurvival ratesAMI careMedical service providersResultsBetween 2010HospitalU.S. hospitalsOrder entryRegular trainingInfarctionLongitudinal analysisHospital performanceMortalityCurrent use
2012
Correlations among risk‐standardized mortality rates and among risk‐standardized readmission rates within hospitals
Horwitz LI, Wang Y, Desai MM, Curry LA, Bradley EH, Drye EE, Krumholz HM. Correlations among risk‐standardized mortality rates and among risk‐standardized readmission rates within hospitals. Journal Of Hospital Medicine 2012, 7: 690-696. PMID: 22865546, PMCID: PMC3535010, DOI: 10.1002/jhm.1965.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionRisk-standardized readmission ratesReadmission ratesRisk-standardized mortalityHeart failureMortality rateReadmission measuresUS hospitalsMortality measuresCross-sectional studyMortality cohortReadmission cohortHospital outcomesSame hospitalMyocardial infarctionMedicare patientsMedicare feeService beneficiariesTeaching hospital membersHospitalSame quartileHospital membersPneumoniaCohortContemporary Evidence About Hospital Strategies for Reducing 30-Day Readmissions A National Study
Bradley EH, Curry L, Horwitz LI, Sipsma H, Thompson JW, Elma M, Walsh MN, Krumholz HM. Contemporary Evidence About Hospital Strategies for Reducing 30-Day Readmissions A National Study. Journal Of The American College Of Cardiology 2012, 60: 607-614. PMID: 22818070, PMCID: PMC3537181, DOI: 10.1016/j.jacc.2012.03.067.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPrimary medical doctorHeart failurePreventable readmissionsOutpatient prescription recordsReadmission of patientsCross-sectional studyQuality improvement initiativesQuality improvement teamReadmission ratesPrescription recordsMyocardial infarctionReadmissionCommunity physiciansHigh riskLocal hospitalPatientsHospital practiceQuality improvement resourcesStandard frequency analysisHospitalWeb-based surveyPrevalence of practicesDischarge summariesMost hospitalsHospital 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“Out of sight, out of mind”: Housestaff perceptions of quality‐limiting factors in discharge care at teaching hospitals
Greysen SR, Schiliro D, Horwitz LI, Curry L, Bradley EH. “Out of sight, out of mind”: Housestaff perceptions of quality‐limiting factors in discharge care at teaching hospitals. Journal Of Hospital Medicine 2012, 7: 376-381. PMID: 22378723, PMCID: PMC3423962, DOI: 10.1002/jhm.1928.Peer-Reviewed Original ResearchConceptsDischarge careTeaching hospitalInternal medicine housestaffInternal medicine training programsDischarge teamPostdischarge continuityHospital dischargeDischarge proceduresHousestaff physiciansPhysician perspectivesPoor patientsMedicine housestaffDifferent hospitalsMedicine training programsPatient communicationHospitalClinical responsibilitiesCareHousestaff perceptionsPerson interviewsLack of standardizationHousestaffConstant comparative methodInterdisciplinary teamworkPerceptions of factors
2011
Quality of Care in the US Territories
Nunez-Smith M, Bradley EH, Herrin J, Santana C, Curry LA, Normand SL, Krumholz HM. Quality of Care in the US Territories. JAMA Internal Medicine 2011, 171: 1528-1540. PMID: 21709184, PMCID: PMC3251926, DOI: 10.1001/archinternmed.2011.284.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionRisk-standardized readmission ratesRisk-standardized mortality ratesHeart failureMortality rateReadmission ratesProcess measuresHospital characteristicsHighest risk-standardized mortality ratesPrincipal discharge diagnosisQuality of careHealth care qualityDischarge diagnosisService patientsMyocardial infarctionTerritorial HospitalNonfederal hospitalsUS territoriesMedicare feePneumoniaHospitalCare qualityPatientsPerformance of hospitalsUS states
2010
Variation in Hospital Mortality Rates for Patients With Acute Myocardial Infarction
Bradley EH, Herrin J, Curry L, Cherlin EJ, Wang Y, Webster TR, Drye EE, Normand SL, Krumholz HM. Variation in Hospital Mortality Rates for Patients With Acute Myocardial Infarction. The American Journal Of Cardiology 2010, 106: 1108-1112. PMID: 20920648, DOI: 10.1016/j.amjcard.2010.06.014.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHospital characteristicsMyocardial infarctionMortality rateCross-sectional national studyHospital mortality rateHospital patient populationAmerican Hospital Association surveyAMI dischargeMean hospitalHospital outcomesCardiac facilitiesPatient populationAMI volumeMultivariable modelPatient profilesMedicare beneficiariesHospitalHospital bedsPatientsTeaching statusUnited States Census dataStates Census dataInfarctionStatus profile