2019
Differences in Hospitalizations Between Fee-for-Service and Medicare Advantage Beneficiaries
Ndumele CD, Elliott MN, Haviland AM, Burkhart Q, Orr N, Gaillot S, Cleary PD. Differences in Hospitalizations Between Fee-for-Service and Medicare Advantage Beneficiaries. Medical Care 2019, 57: 8-12. PMID: 30339575, DOI: 10.1097/mlr.0000000000001000.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overFee-for-Service PlansFemaleHealth StatusHospitalizationHumansMaleMedicare Part CRetrospective StudiesUnited StatesConceptsFFS coverageHospitalization ratesMedicare AdvantageMultivariable logistic regression modelMA enrolleesRate of hospitalizationLower hospitalization ratesPatterns of careMedicare Advantage beneficiariesLogistic regression modelsMedicare Consumer AssessmentHospital admissionRetrospective studyHealth characteristicsService useHospitalizationHealth statusHealthcare providersEnrollee demographicsConsumer AssessmentEnrolleesSystem surveySignificant age differencesMA enrollmentMA respondents
2016
Medicare Prescription Drug Plan Enrollees Report Less Positive Experiences Than Their Medicare Advantage Counterparts
Elliott MN, Landon BE, Zaslavsky AM, Edwards C, Orr N, Beckett MK, Mallett J, Cleary PD. Medicare Prescription Drug Plan Enrollees Report Less Positive Experiences Than Their Medicare Advantage Counterparts. Health Affairs 2016, 35: 456-463. PMID: 26953300, DOI: 10.1377/hlthaff.2015.0816.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overDatabases, FactualDrug PrescriptionsFemaleHealth ExpendituresHumansInsurance CoverageInsurance, Pharmaceutical ServicesMaleManaged Care ProgramsMedicare Part CMedicare Part DPatient SatisfactionRetrospective StudiesSex FactorsSurveys and QuestionnairesUnited StatesConceptsPrescription drug plansPrescription drug coverageDrug plansMedicare beneficiariesDrug coverageCommunity-dwelling Medicare beneficiariesOverall health care costsMedicare Advantage health plansMA plansHealth care costsPercent of beneficiariesAffordable Care ActQuality bonus paymentsPlan enrolleesMedicare prescription drug coverageCare costsHealth plansCare ActPositive experiencesAge sixtyBeneficiary assessmentMedicationsMA counterpartsBeneficiariesEnrollees
2007
Physicians and Electronic Health Records: A Statewide Survey
Simon SR, Kaushal R, Cleary PD, Jenter CA, Volk LA, Orav EJ, Burdick E, Poon EG, Bates DW. Physicians and Electronic Health Records: A Statewide Survey. JAMA Internal Medicine 2007, 167: 507-512. PMID: 17353500, DOI: 10.1001/archinte.167.5.507.Peer-Reviewed Original ResearchConceptsElectronic health recordsHealth recordsPhysicians' actual useLaboratory test orderingPredictors of useMedical practiceVisit documentationClinical decision supportPhysicians' perceptionsTest orderingEHR usePhysiciansEHR functionsElectronic prescriptionsOrder entryHealth careEHR adoptionSignificant differencesEHR usersLaboratory reportsRandom sampleLow usersPrescription
2005
Physician Specialization and the Quality of Care for Human Immunodeficiency Virus Infection
Landon BE, Wilson IB, McInnes K, Landrum MB, Hirschhorn LR, Marsden PV, Cleary PD. Physician Specialization and the Quality of Care for Human Immunodeficiency Virus Infection. JAMA Internal Medicine 2005, 165: 1133-1139. PMID: 15911726, DOI: 10.1001/archinte.165.10.1133.Peer-Reviewed Original ResearchMeSH KeywordsAdultAntiretroviral Therapy, Highly ActiveClinical CompetenceEducation, ContinuingFamily PracticeFemaleHealth Knowledge, Attitudes, PracticeHIV InfectionsHumansMalePrimary Health CareQuality Assurance, Health CareReferral and ConsultationRegression AnalysisRetrospective StudiesUnited StatesConceptsHuman immunodeficiency virus (HIV) infectionActive antiretroviral therapyImmunodeficiency virus infectionInfectious disease physiciansAppropriate patientsQuality of careAntiretroviral therapyHIV careDisease physiciansCare measuresVirus infectionComplex chronic medical conditionsGeneral medicine physiciansObservational cohort studyInfectious disease specialistsMedical record reviewChronic medical conditionsComplex chronic illnessExpert generalistsTypes of physiciansHierarchical logistic regression modelsLow-quality careHigh-quality careLogistic regression modelsHIV physicians
2001
Validating recommendations for coronary angiography following acute myocardial infarction in the elderly A matched analysis using propensity scores
Normand S, Landrum M, Guadagnoli E, Ayanian J, Ryan T, Cleary P, McNeil B. Validating recommendations for coronary angiography following acute myocardial infarction in the elderly A matched analysis using propensity scores. Journal Of Clinical Epidemiology 2001, 54: 387-398. PMID: 11297888, DOI: 10.1016/s0895-4356(00)00321-8.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAlgorithmsCoronary AngiographyFemaleGuideline AdherenceHumansLogistic ModelsMaleMatched-Pair AnalysisMedicareMyocardial InfarctionPatient SelectionPractice Guidelines as TopicQuality Indicators, Health CareRetrospective StudiesSurvival AnalysisTime FactorsTreatment OutcomeUnited States
1999
Development of a Consumer Survey for Behavioral Health Services
Eisen S, Shaul J, Clarridge B, Nelson D, Spink J, Cleary P. Development of a Consumer Survey for Behavioral Health Services. Psychiatric Services 1999, 50: 793-798. PMID: 10375149, DOI: 10.1176/ps.50.6.793.Peer-Reviewed Original ResearchConceptsBehavioral health servicesHealth servicesInsurance plansSubstance abuse servicesConsumer satisfaction surveyMedicaid plansAbuse servicesMental healthConsumer AssessmentCommercial plansSatisfaction instrumentSatisfaction surveyConsumer focus groupsFurther testingFocus groupsGroupDiverse sampleFuture effortsService instrumentReporting formatCare
1995
Medical patients’ assessments of their care during hospitalization
Delbanco T, Stokes D, Cleary P, Edgman-Levitan S, Walker J, Gerteis M, Daley J. Medical patients’ assessments of their care during hospitalization. Journal Of General Internal Medicine 1995, 10: 679-685. PMID: 8770720, DOI: 10.1007/bf02602763.Peer-Reviewed Original ResearchConceptsHospital careHospitalized medical patientsNon-federal acute care hospitalsHospital-based careAcute care hospitalsInpatient hospital careCross-sectional surveyProbability sampleMost patientsCare hospitalMedical patientsPatient assessmentPatient's perspectivePatientsHospitalizationHospital routineHealth statusPrompt attentionSociodemographic characteristicsTelephone interviewsCareMedical servicesHospitalOne-thirdOverall satisfactionPrognostic Stratification in Critically Ill Patients With Acute Renal Failure Requiring Dialysis
Chertow G, Christiansen C, Cleary P, Munro C, Lazarus J. Prognostic Stratification in Critically Ill Patients With Acute Renal Failure Requiring Dialysis. JAMA Internal Medicine 1995, 155: 1505-1511. PMID: 7605152, DOI: 10.1001/archinte.1995.00430140075007.Peer-Reviewed Original ResearchConceptsAcute renal failureHospital mortalityRenal failureIll patientsMechanical ventilationAcute Renal Failure Requiring DialysisIntensive care unit technologyMultivariate logistic regression analysisCritically Ill PatientsHospital mortality rateHigh-risk patientsOrgan system failureIntensive care unitLogistic regression analysisOminous conditionUnderlying malignancyHospital dischargeConsecutive patientsCare unitComorbid conditionsLaboratory variablesEarly mortalityPrognostic stratificationMedical recordsProspective validation
1994
Methodological Issues in Measuring Patient-Reported Outcomes
FOWLER F, CLEARY P, MAGAZINER J, PATRICK D, BENJAMIN K. Methodological Issues in Measuring Patient-Reported Outcomes. Medical Care 1994, 32: js65. PMID: 8028414, DOI: 10.1097/00005650-199407001-00006.Peer-Reviewed Original Research