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 sampleAssociation
2012
Contemporary 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
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
Pilot testing of a decision support tool for patients with abdominal aortic aneurysms
Berman L, Curry L, Goldberg C, Gusberg R, Fraenkel L. Pilot testing of a decision support tool for patients with abdominal aortic aneurysms. Journal Of Vascular Surgery 2010, 53: 285-292.e1. PMID: 21067886, PMCID: PMC3058927, DOI: 10.1016/j.jvs.2010.08.075.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAlgorithmsAortic Aneurysm, AbdominalAttitude of Health PersonnelBlood Vessel Prosthesis ImplantationChoice BehaviorConflict, PsychologicalConnecticutDecision Support Systems, ClinicalEndovascular ProceduresEvidence-Based MedicineFeasibility StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPatient Education as TopicPatient ParticipationPatient SatisfactionPatient SelectionPhysician-Patient RelationsPilot ProjectsRisk AssessmentRisk FactorsTime FactorsConceptsAbdominal aortic aneurysmPercent of patientsTreatment optionsAortic aneurysmTreatment decisionsVascular surgery clinicDecisional conflict scoresDifficult treatment decisionsMean knowledge scoreCurrent outcome dataSurgical candidatesMedian timeSurgery clinicOpen surgeryHospital clinicPatient preferencesPatients' opinionsEndovascular surgeryOutcome dataPatientsDecisional conflictKnowledge scoreInformed consentSurgerySurgeonsVariation 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
2004
At the crossroads: Making the transition to hospice
SCHULMAN-GREEN D, McCORKLE R, CURRY L, CHERLIN E, JOHNSON-HURZELER R, BRADLEY E. At the crossroads: Making the transition to hospice. Palliative & Supportive Care 2004, 2: 351-360. PMID: 16594397, DOI: 10.1017/s1478951504040477.Peer-Reviewed Original ResearchConceptsPrimary family caregiversHospice enrollmentTerminal cancerCare trajectoriesFamily caregiversLate hospice enrollmentPatient care trajectoriesContinuum of careTime of deathHealth care systemPatient's family dynamicsIll patientsMedian lengthHospice careCaregiver needsCaregiver acceptancePatientsCaregiver perspectivesCaregivers' perceptionsHospiceDesign of interventionsCare systemCaregiversImpending deathDeath
2003
Depression in Later-Life Puerto Rican Primary Care Patients: The Role of Illness, Stress, Social Integration, and Religiosity
Robison J, Curry L, Gruman C, Covington T, Gaztambide S, Blank K. Depression in Later-Life Puerto Rican Primary Care Patients: The Role of Illness, Stress, Social Integration, and Religiosity. International Psychogeriatrics 2003, 15: 239-251. PMID: 14756160, DOI: 10.1017/s1041610203009505.Peer-Reviewed Original ResearchMeSH KeywordsActivities of Daily LivingAgedAged, 80 and overCaregiversChronic DiseaseComorbidityCross-Sectional StudiesDepressive Disorder, MajorDysthymic DisorderFemaleHispanic or LatinoHumansMaleMiddle AgedNew EnglandPrimary Health CarePuerto RicoReligion and PsychologyRisk FactorsSocial SupportStress, PsychologicalConceptsPrimary care patientsDSM-IV criteriaCare patientsOlder Puerto RicansComposite International Diagnostic InterviewPrimary care clinicsPrimary care settingRisk of depressionPoor subjective healthRates of depressionFifth of participantsPuerto RicansRole of illnessSocial risk factorsStudy of depressionHigh rateSocial stressorsCare clinicsIllness severityRisk factorsDepressive disorderMajor depressionCare settingsImproved preventionPatients
2000
Mammography utilization in a skilled nursing facility.
Kerins G, Gruman C, Schwartz R, Rauch E, Curry L, Fogel D. Mammography utilization in a skilled nursing facility. Connecticut Medicine 2000, 64: 595-9. PMID: 11100631.Peer-Reviewed Original ResearchConceptsSkilled nursing facilitiesNursing facilitiesMammography utilizationBreast cancerRetrospective medical chart reviewLong-term care populationMedical chart reviewSubsequent clinical decisionsChart reviewCare populationPatient preferencesAbnormal resultsClinical decisionPsychological burdenWomenPatientsAppropriate guidelinesCancerFurther investigationMammogramsYears