2017
Development and Psychometric Properties of a Scale to Measure Hospital Organizational Culture for Cardiovascular Care
Bradley EH, Brewster AL, Fosburgh H, Cherlin EJ, Curry LA. Development and Psychometric Properties of a Scale to Measure Hospital Organizational Culture for Cardiovascular Care. Circulation Cardiovascular Quality And Outcomes 2017, 10: e003422. PMID: 28302647, DOI: 10.1161/circoutcomes.116.003422.Peer-Reviewed Original ResearchAttitude of Health PersonnelCross-Sectional StudiesDelivery of Health Care, IntegratedHealth Knowledge, Attitudes, PracticeHospitalsHumansJob SatisfactionLeadershipMedical Staff, HospitalMyocardial InfarctionOrganizational CultureProcess Assessment, Health CarePsychometricsQuality ImprovementQuality Indicators, Health CareReproducibility of ResultsSurveys and QuestionnairesTime FactorsTreatment OutcomeUnited StatesWorkplace
2015
Organizational culture in cardiovascular care in Chinese hospitals: a descriptive cross-sectional study
Yin ES, Downing NS, Li X, Singer SJ, Curry LA, Li J, Krumholz HM, Jiang L. Organizational culture in cardiovascular care in Chinese hospitals: a descriptive cross-sectional study. BMC Health Services Research 2015, 15: 569. PMID: 26689591, PMCID: PMC4685633, DOI: 10.1186/s12913-015-1211-7.Peer-Reviewed Original ResearchAdultAgedAttitude of Health PersonnelCardiac Care FacilitiesCardiovascular DiseasesChinaCross-Sectional StudiesEfficiencyFemaleHospitalsHumansLeadershipMaleMiddle AgedModels, OrganizationalOrganizational CultureQuality Assurance, Health CareQuality ImprovementQuality of Health CareRetrospective StudiesSurveys and Questionnaires
2014
Strategies 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 ResearchMeSH KeywordsCross-Sectional StudiesHeart FailureHumansMyocardial InfarctionPatient DischargePatient ReadmissionQuality ImprovementConceptsAcute 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
Inputs to quality: supervision, management, and community involvement in health facilities in Egypt in 2004
Cherlin EJ, Allam AA, Linnander EL, Wong R, El-Toukhy E, Sipsma H, Krumholz HM, Curry LA, Bradley EH. Inputs to quality: supervision, management, and community involvement in health facilities in Egypt in 2004. BMC Health Services Research 2011, 11: 282. PMID: 22014078, PMCID: PMC3216250, DOI: 10.1186/1472-6963-11-282.Peer-Reviewed Original ResearchMeSH KeywordsCommunity ParticipationCross-Sectional StudiesEgyptHealth FacilitiesHealth Facility AdministrationHumansOrganization and AdministrationQuality Assurance, Health CareConceptsHealth unitsMiddle-income countriesHealth facilitiesHealth Survey websiteService Provision Assessment surveyMinority of facilitiesQuality improvement initiativesRural health unitsUrban health unitsCross-sectional analysisHealth care deliveryMinistry of HealthHealth reformMeasure DemographicFinal sampleGeneral service hospitalsMore rural partsService hospitalsChild healthStandard frequency analysisCare deliveryFacility characteristicsHealth careStatistical significanceImprovement initiatives
2009
Attitudes, Training Experiences, and Professional Expectations of US General Surgery Residents: A National Survey
Yeo H, Viola K, Berg D, Lin Z, Nunez-Smith M, Cammann C, Bell RH, Sosa JA, Krumholz HM, Curry LA. Attitudes, Training Experiences, and Professional Expectations of US General Surgery Residents: A National Survey. JAMA 2009, 302: 1301-1308. PMID: 19773565, DOI: 10.1001/jama.2009.1386.Peer-Reviewed Original ResearchMeSH KeywordsAdultAttitude of Health PersonnelCareer ChoiceClinical CompetenceCross-Sectional StudiesEducation, Medical, GraduateFemaleGeneral SurgeryHumansInternship and ResidencyJob SatisfactionLongitudinal StudiesMaleProspective StudiesResearch DesignSex FactorsStudents, MedicalSurveys and QuestionnairesTime FactorsUnited StatesConceptsUS general surgery residentsGeneral surgery residentsSurgery residentsCross-sectional studyGeneral surgery residency programsCategorical general surgery residentsSurgery In-Training ExaminationResidency programsTraining yearSurgery residency programsSurgical residency programsPostgraduate year 2Postgraduate year 5In-Training ExaminationUnmet needYear 5Supportive peer relationshipsPrior yearSpecialty trainingNational surveyMost respondentsYear 2American BoardSources of strainPeer relationships
2004
Intended use of informal long‐term care: the role of race and ethnicity
Bradley EH, Curry LA, McGraw SA, Webster TR, Kasl SV, Andersen R. Intended use of informal long‐term care: the role of race and ethnicity. Ethnicity And Health 2004, 9: 37-54. PMID: 15203464, DOI: 10.1080/13557850410001673987.Peer-Reviewed Original ResearchConceptsLong-term careRace/ethnicityInformal long-term carePsychosocial factorsRace/ethnicity-related differencesLong-term care useFrail older populationHealth service useEthnicity-related differencesLong-term care needsCross-sectional surveyCare useService useCare needsLogistic regressionOlder populationPsychosocial differencesWhite eldersHealthcare decision makingOlder adultsCareFamily caregivingAndersen modelFamily membersAfrican American respondents
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