2019
The effect of administration mode on CAHPS survey response rates and results: A comparison of mail and web‐based approaches
Fowler FJ, Cosenza C, Cripps LA, Edgman‐Levitan S, Cleary PD. The effect of administration mode on CAHPS survey response rates and results: A comparison of mail and web‐based approaches. Health Services Research 2019, 54: 714-721. PMID: 30656646, PMCID: PMC6505419, DOI: 10.1111/1475-6773.13109.Peer-Reviewed Original ResearchConceptsResponse rateMore primary care visitsPrimary care visitsPrimary care practicesSample of patientsLow response rateSurvey response rateCare visitsPatient populationAdministration protocolCAHPS surveyCare practicesPatientsCharacteristics of respondentsComparison of MailEmail invitationEmail addressesAdministration modeRespondent characteristicsLittle evidenceMailProtocolNonresponse biasVisits
2017
Association of State Access Standards With Accessibility to Specialists for Medicaid Managed Care Enrollees
Ndumele CD, Cohen MS, Cleary PD. Association of State Access Standards With Accessibility to Specialists for Medicaid Managed Care Enrollees. JAMA Internal Medicine 2017, 177: 1445-1451. PMID: 28806455, PMCID: PMC5710214, DOI: 10.1001/jamainternmed.2017.3766.Peer-Reviewed Original Research
2015
Accelerating Improvement and Narrowing Gaps: Trends in Patients' Experiences with Hospital Care Reflected in HCAHPS Public Reporting
Elliott MN, Cohea CW, Lehrman WG, Goldstein EH, Cleary PD, Giordano LA, Beckett MK, Zaslavsky AM. Accelerating Improvement and Narrowing Gaps: Trends in Patients' Experiences with Hospital Care Reflected in HCAHPS Public Reporting. Health Services Research 2015, 50: 1850-1867. PMID: 25854292, PMCID: PMC4693845, DOI: 10.1111/1475-6773.12305.Peer-Reviewed Original ResearchConceptsHospital care experiencesAdult inpatientsHospital characteristicsPublic reportingLinear mixed-effects regression modelsMixed effects regression modelsPatient characteristicsHCAHPS measuresHospital careHospital typePatient experienceHCAHPS scoresHospitalMeaningful improvementsCare experiencesPatient mixLarge hospitalsU.S. hospitalsPercent decreaseInpatientsNational probability sampleGreater improvementProbability sampleNarrowing GapsRegression models
2014
Are Comparisons of Patient Experiences Across Hospitals Fair? A Study in Veterans Health Administration Hospitals
Cleary PD, Meterko M, Wright SM, Zaslavsky AM. Are Comparisons of Patient Experiences Across Hospitals Fair? A Study in Veterans Health Administration Hospitals. Medical Care 2014, 52: 619-625. PMID: 24926709, PMCID: PMC4682878, DOI: 10.1097/mlr.0000000000000144.Peer-Reviewed Original ResearchMeSH KeywordsAgedAttitude of Health PersonnelConfounding Factors, EpidemiologicContinuity of Patient CareFemaleHealth Services AccessibilityHealth Services ResearchHospitals, VeteransHumansMaleMiddle AgedMyocardial InfarctionPatient SatisfactionQuality of Health CareResidence CharacteristicsSocioeconomic FactorsSurveys and QuestionnairesUnited StatesConceptsAcute myocardial infarctionPatients' clinical characteristicsClinical characteristicsPatient characteristicsPatient experienceInitial acute myocardial infarctionPatient-reported health statusVeterans Health Administration hospitalsVeterans Affairs Medical CenterVA administrative dataPatient experience surveysPatient care experiencesComplex patientsMyocardial infarctionPatient surveyMedical recordsAdministration HospitalClinical dataHospital careMedical CenterClinical informationHOSPITAL scoreInpatient experienceHealth statusHospital
2011
How Do the Experiences of Medicare Beneficiary Subgroups Differ between Managed Care and Original Medicare?
Elliott MN, Haviland AM, Orr N, Hambarsoomian K, Cleary PD. How Do the Experiences of Medicare Beneficiary Subgroups Differ between Managed Care and Original Medicare? Health Services Research 2011, 46: 1039-1058. PMID: 21306370, PMCID: PMC3165177, DOI: 10.1111/j.1475-6773.2011.01245.x.Peer-Reviewed Original ResearchConceptsFair self-rated healthHealth care providersSubgroup characteristicsSelf-rated healthHealth care experiencesLow-income subsidyMedicare Consumer AssessmentUniform careCare scoresAge 85Care providersMedicare beneficiariesService MedicareCare experiencesCAHPS measuresConsumer AssessmentHigh school degreeCareSystem surveyParticular subgroupManaged CareAssessed differencesTraditional feeLow incomeSignificant positive interaction
2010
Geographic Area Variations in the Medicare Health Plan Era
Keenan PS, Cleary PD, O'Malley AJ, Landon BE, Zaborski L, Zaslavsky AM. Geographic Area Variations in the Medicare Health Plan Era. Medical Care 2010, 48: 260-266. PMID: 20182269, DOI: 10.1097/mlr.0b013e3181ca410a.Peer-Reviewed Original Research
2009
Quality Assessments by Sick and Healthy Beneficiaries in Traditional Medicare and Medicare Managed Care
Keenan PS, Elliott MN, Cleary PD, Zaslavsky AM, Landon BE. Quality Assessments by Sick and Healthy Beneficiaries in Traditional Medicare and Medicare Managed Care. Medical Care 2009, 47: 882-888. PMID: 19543123, DOI: 10.1097/mlr.0b013e3181a39415.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overFemaleHealth StatusHumansMaleManaged Care ProgramsMedicaidMedicareQuality Assurance, Health CareSocioeconomic FactorsUnited StatesConceptsPreventive services measuresCare experiencesPreventive servicesMedicaid ServicesPreventive services receiptRates of immunizationCAHPS scoresExperience measuresOffice wait timeQuality of careTraditional MedicareSick groupPhysician ratingsCare plansMedicare Managed CareHealthcare providersService MedicareCAHPS measuresHealth plansService receiptConsumer AssessmentSystem surveyHealthier beneficiariesManaged CareMedicare
2007
Voluntary Physician Switching by Human Immunodeficiency Virus-Infected Individuals
Rodriguez HP, Wilson IB, Landon BE, Marsden PV, Cleary PD. Voluntary Physician Switching by Human Immunodeficiency Virus-Infected Individuals. Medical Care 2007, 45: 189-198. PMID: 17304075, DOI: 10.1097/01.mlr.0000250252.14148.7e.Peer-Reviewed Original ResearchMeSH KeywordsAdultAntiretroviral Therapy, Highly ActiveContinuity of Patient CareDecision MakingFemaleHealth Services AccessibilityHIV InfectionsHumansLongitudinal StudiesMaleMedicinePatient ParticipationPatient SatisfactionPhysician-Patient RelationsPhysiciansQuality of Health CareRegression AnalysisSocioeconomic FactorsSpecializationTrustConceptsHuman immunodeficiency virusImmunodeficiency virusVoluntary physiciansServices Utilization StudyMultilevel logistic regression modelsQuality of careCARE Act fundingLogistic regression modelsUsual cliniciansHIV CostChronic illnessCare sitesPatientsUtilization studiesPatient volumePatient trustPhysiciansStudy periodMultivariate modelCareCliniciansLongitudinal studyTechnical qualityRegression modelsRepresentative sample
2005
Case‐Mix Adjustment of the CAHPS® Hospital Survey
O'Malley AJ, Zaslavsky AM, Elliott MN, Zaborski L, Cleary PD. Case‐Mix Adjustment of the CAHPS® Hospital Survey. Health Services Research 2005, 40: 2162-2181. PMID: 16316443, PMCID: PMC1361241, DOI: 10.1111/j.1475-6773.2005.00470.x.Peer-Reviewed Original ResearchConceptsGeneral health statusCase-mix adjustmentCirculatory disordersHospital SurveyMedical servicesCase-mix variablesNon-Hispanic blacksPatient characteristicsHospital survey dataPatient ratingsHospital ratingMedical conditionsCirculatory problemsHealth statusHealthcare providersHospitalHospital qualityCAHPS Hospital SurveyHospital servicesConsumer AssessmentSurgeryImpact of adjustmentDisordersAgeScores
2001
Racial Disparity in Influenza Vaccination: Does Managed Care Narrow the Gap Between African Americans and Whites?
Schneider E, Cleary P, Zaslavsky A, Epstein A. Racial Disparity in Influenza Vaccination: Does Managed Care Narrow the Gap Between African Americans and Whites? JAMA 2001, 286: 1455-1460. PMID: 11572737, DOI: 10.1001/jama.286.12.1455.Peer-Reviewed Original ResearchConceptsInfluenza vaccinationRacial disparitiesService insuranceCare enrolleesAfrican AmericansMedicare Current Beneficiary SurveyWhite Medicare beneficiariesSubstantial racial disparitiesUS cohortPreventive servicesMedicare beneficiariesPercentage of respondentsVaccinationHealth servicesBeneficiary SurveyPercentage point differenceCareHigh rateInsurance groupsEnrolleesDisparitiesWhitesInsuranceAmericansPoint difference
2000
Racial Disparities in Access to Renal Transplantation — Clinically Appropriate or Due to Underuse or Overuse?
Epstein A, Ayanian J, Keogh J, Noonan S, Armistead N, Cleary P, Weissman J, David-Kasdan J, Carlson D, Fuller J, Marsh D, Conti R. Racial Disparities in Access to Renal Transplantation — Clinically Appropriate or Due to Underuse or Overuse? New England Journal Of Medicine 2000, 343: 1537-1544. PMID: 11087884, PMCID: PMC4598055, DOI: 10.1056/nejm200011233432106.Peer-Reviewed Original ResearchConceptsWaiting listRenal transplantationRacial disparitiesEnd-stage renal diseaseAppropriateness of patientsRate of referralAppropriate candidatesChart reviewClinical characteristicsDevelopment of interventionsRenal diseaseTransplantation centersWhite patientsBlack patientsAppropriateness CriteriaInappropriate careClinical appropriatenessSurgical proceduresPatientsTransplantationSpecific causesInappropriate candidatesExpert panelDistrict of ColumbiaRacial differencesImpact of Sociodemographic Case Mix on the HEDIS Measures of Health Plan Quality
Zaslavsky A, Hochheimer J, Schneider E, Cleary P, Seidman J, McGlynn E, Thompson J, Sennett C, Epstein A. Impact of Sociodemographic Case Mix on the HEDIS Measures of Health Plan Quality. Medical Care 2000, 38: 981-992. PMID: 11021671, DOI: 10.1097/00005650-200010000-00002.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedChildChild, PreschoolDiagnosis-Related GroupsFemaleHealth Benefit Plans, EmployeeHealth Maintenance OrganizationsHumansInfantInfant, NewbornLogistic ModelsMaleMiddle AgedMultivariate AnalysisPregnancyPreventive Health ServicesQuality Assurance, Health CareQuality Indicators, Health CareSocioeconomic FactorsUnited StatesConceptsHEDIS measuresSociodemographic characteristicsHealth Plan Employer DataPatients' sociodemographic characteristicsHealth plan membersImmunization of adolescentsHealth plan qualityInformation Set (HEDIS) measuresMeasures of screeningRetinal examPreventive servicesHEDIS dataEmployer DataCase mixPlan membersLogistic regressionMost plansPercent collegeResidential area characteristicsPercentage pointsPercent AsianPlan qualityPublic assistanceSet measuresArea characteristicsHealth-related quality of life in patients with human immunodeficiency virus infection in the United States: results from the HIV cost and services utilization study
Hays R, Cunningham W, Sherbourne C, Wilson I, Wu A, Cleary P, McCaffrey D, Fleishman J, Crystal S, Collins R, Eggan F, Shapiro M, Bozzette S. Health-related quality of life in patients with human immunodeficiency virus infection in the United States: results from the HIV cost and services utilization study. The American Journal Of Medicine 2000, 108: 714-722. PMID: 10924648, DOI: 10.1016/s0002-9343(00)00387-9.Peer-Reviewed Original ResearchConceptsHealth-related qualityServices Utilization StudyHIV diseaseChronic diseasesPhysical functioningGeneral populationHIV CostUtilization studiesHuman immunodeficiency virus (HIV) diseaseHuman immunodeficiency virus (HIV) infectionSF-36 physical functioningMental health summary scoresMental healthAsymptomatic HIV diseaseImmunodeficiency virus infectionSymptomatic HIV diseaseWorse physical functioningHealth summary scoresUS general populationHealth insurance statusAttention of cliniciansCD4 countAdult patientsSubstantial morbidityImmunodeficiency syndromeDimensions of Consumer-Assessed Quality of Medicare Managed-Care Health Plans
Zaslavsky A, Beaulieu N, Landon B, Cleary P. Dimensions of Consumer-Assessed Quality of Medicare Managed-Care Health Plans. Medical Care 2000, 38: 162-174. PMID: 10659690, DOI: 10.1097/00005650-200002000-00006.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overConsumer BehaviorDiagnosis-Related GroupsFactor Analysis, StatisticalFemaleHealth Care SurveysHealth Services AccessibilityHealth StatusHumansMaleManaged Care ProgramsMedicareMiddle AgedPatient Education as TopicQuality Assurance, Health CareRegression AnalysisSocioeconomic FactorsUnited StatesConceptsManaged care health planHealth plansHealth plan levelDelivery of careHealth-promoting activitiesHealth Plans SurveySpecialist careMedicare beneficiariesOverall ratingDoctor's officeConsumer AssessmentGlobal ratingCareMedical servicesPlans SurveyReport itemsCAHPSReportSurvey itemsPlan variabilityConsumer ReportsCorresponding groupMembers' ratingsDeliveryGroup
1999
Use of hormone replacement therapy by postmenopausal women in the United States.
Keating N, Cleary P, Rossi A, Zaslavsky A, Ayanian J. Use of hormone replacement therapy by postmenopausal women in the United States. Annals Of Internal Medicine 1999, 130: 545-53. PMID: 10189323, DOI: 10.7326/0003-4819-130-7-199904060-00002.Peer-Reviewed Original ResearchConceptsHormone replacement therapyUse of HRTPostmenopausal womenReplacement therapyNational population-based cohortCardiac risk factorsPostmenopausal women 50Population-based cohortCurrent useRandom-digit telephone surveyYears of ageHRT useClinical factorsDiabetes mellitusWomen 50Multivariable analysisRisk factorsCardiovascular diseaseSociodemographic factorsTherapySociodemographic variationWomenTelephone surveyCohortProbability sample
1996
The influence of health-related quality of life and social characteristics on hospital use by patients with AIDS in the Boston Health Study.
Weissman J, Cleary P, Seage G, Gatsonis C, Haas J, Chasan-Taber S, Epstein A. The influence of health-related quality of life and social characteristics on hospital use by patients with AIDS in the Boston Health Study. Medical Care 1996, 34: 1037-56. PMID: 8843929, DOI: 10.1097/00005650-199610000-00005.Peer-Reviewed Original ResearchConceptsSystems of careHealth-related qualityHospital useMedical chartsDisease burdenNeuropsychological StatusBoston Health StudyTotal hospital daysOdds of admissionHealth-related factorsHospital daysIndependent predictorsImmunodeficiency syndromeStudy enrollmentPatient groupPatient interviewsProphylactic drugsSerious opportunistic diseaseOpportunistic diseasesHospital careDaily livingPatterns of useHealth StudyHospital billsClinical model
1995
The influence of socioeconomic status on change in health status after hospitalization
Guadagnoli E, Cleary P, Mcneil B. The influence of socioeconomic status on change in health status after hospitalization. Social Science & Medicine 1995, 40: 1399-1406. PMID: 7638648, DOI: 10.1016/0277-9536(94)00266-v.Peer-Reviewed Original ResearchConceptsHigh-SES patientsHigh-income patientsHealth statusChest painSurgical patientsHospital recordsSocioeconomic statusDaily livingUniversity-affiliated teaching hospitalLow-SES patientsHealth status scoresPatients' hospital recordsWorse health statusHospital dischargeHospital admissionStatus scoreTeaching hospitalInstrumental activitiesPatientsBasic activitiesHospitalizationPainAmount of declineAdmissionVariety of outcomes
1992
Age-related item nonresponse in surveys of recently discharged patients.
Guadagnoli E, Cleary P. Age-related item nonresponse in surveys of recently discharged patients. Journal Of Gerontology 1992, 47: p206-12. PMID: 1573206, DOI: 10.1093/geronj/47.3.p206.Peer-Reviewed Original ResearchConceptsCoronary artery bypass graft surgeryArtery bypass graft surgeryLess healthy patientsBypass graft surgeryTotal hip replacementTURP patientsGraft surgeryTHR patientsSurgical patientsTransurethral prostatectomyHealthy patientsSurgical conditionsPhysical functioningPatientsHip replacementHealth statusEmotional statusNonresponseData completenessQuestionnaireItem scaleTotal numberStatusCABGHigh levelsThe Relationship Between Reported Problems and Patient Summary Evaluations of Hospital Care
Cleary P, Edgman-Levitan S, McMullen W, Delbanco T. The Relationship Between Reported Problems and Patient Summary Evaluations of Hospital Care. The Joint Commission Journal On Quality And Patient Safety 1992, 18: 53-59. PMID: 1574321, DOI: 10.1016/s0097-5990(16)30507-3.Peer-Reviewed Original ResearchConceptsHealth statusAspects of hospitalizationPatients' overall evaluationPatient characteristicsSurgical patientsPatient evaluationGeneral HospitalHospital careNationwide telephone surveyTelephone surveyCareStrongest predictorReported problemsOverall evaluationAssociationStatusHospitalizationPatientsHospitalEvaluation
1991
Trends in sociodemographic and behavioral characteristics of HIV antibody-positive blood donors.
Cleary P, Van Devanter N, Rogers T, Singer E, Avorn J, Pindyck J. Trends in sociodemographic and behavioral characteristics of HIV antibody-positive blood donors. AIDS Education And Prevention 1991, 3: 60-71. PMID: 2036292.Peer-Reviewed Original ResearchConceptsSeropositive donorsBlood screeningRisk factorsDrug usersSexual contactIntravenous drug usersNew York Blood CenterProportion of menProportion reporting useHIV antibodiesBlood donorsReporting useSociodemographic characteristicsBlood centersStudy periodHIVMenGreater increaseAntibodiesDrugsSexDonorsScreeningTransfusionEvaluation study