2024
Survey Protocols, Response Rates, and Representation of Underserved Patients
Elliott M, Brown J, Hambarsoomian K, Parast L, Beckett M, Lehrman W, Giordano L, Goldstein E, Cleary P. Survey Protocols, Response Rates, and Representation of Underserved Patients. JAMA Health Forum 2024, 5: e234929. PMID: 38241055, PMCID: PMC10799262, DOI: 10.1001/jamahealthforum.2023.4929.Peer-Reviewed Original ResearchConceptsHospital Consumer Assessment of Healthcare Providers and SystemsOther Pacific IslanderDiverse patient populationsMultiracial patientsPatient surveyConsumer Assessment of Healthcare Providers and SystemsAssessment of Healthcare Providers and SystemsHealthcare Providers and SystemsCenters for Medicare & Medicaid ServicesRandomized clinical trialsUS Centers for Medicare & Medicaid ServicesWhite patientsResponse rateQuality improvement effortsService linesPacific Islander patientsSurvey protocolPacific IslandersPatient populationIslander patientsPatient-importantUnderserved patient groupsMedicaid ServicesAlaska NativesMain Outcomes
2020
The How Matters
Lee YSH, King MD, Anderson D, Cleary PD, Nembhard IM. The How Matters. Medical Care 2020, 58: 643-650. PMID: 32520838, DOI: 10.1097/mlr.0000000000001342.Peer-Reviewed Original ResearchConceptsPatient healthPrimary care providersQualified health centersDisease managementChronic disease managementPCP participationPatient characteristicsCare teamHealth centersHigher oddsPCP communicationCare providersPatient health managementPatientsHypertensionPractice sitesDisease controlDiabetesElectronic recordsLongitudinal studyMultilevel regression modelsTeam membersRegression modelsHealthPCPA quasi-experiment assessing the six-months effects of a nurse care coordination program on patient care experiences and clinician teamwork in community health centers
Nembhard IM, Buta E, Lee YSH, Anderson D, Zlateva I, Cleary PD. A quasi-experiment assessing the six-months effects of a nurse care coordination program on patient care experiences and clinician teamwork in community health centers. BMC Health Services Research 2020, 20: 137. PMID: 32093664, PMCID: PMC7038598, DOI: 10.1186/s12913-020-4986-0.Peer-Reviewed Original ResearchConceptsHigh-risk patientsCare coordinationCare experiencesOffice visitsSix-month effectsCare coordination programSame health systemCommunity health centersPatient office visitsPatient care experiencesLow-resource settingsMonths of useMonths of implementationPre-post designHealth centersPatient reportsPatient experiencePatientsProgram enrolleesHealthcare providersQuasi-experimental studyClinical staffHealth systemCoordination programStudy outcomes
2019
The effects of survey version on patient experience scores and plan rankings
Beckett MK, Elliott MN, Burkhart Q, Cleary PD, Orr N, Brown JA, Gaillot S, Liu K, Hays RD. The effects of survey version on patient experience scores and plan rankings. Health Services Research 2019, 54: 1016-1022. PMID: 31149737, PMCID: PMC6736904, DOI: 10.1111/1475-6773.13172.Peer-Reviewed Original ResearchThe effect of different sampling and recall periods in the CAHPS Clinician & Group (CG‐CAHPS) survey
Hargraves JL, Cosenza C, Elliott MN, Cleary PD. The effect of different sampling and recall periods in the CAHPS Clinician & Group (CG‐CAHPS) survey. Health Services Research 2019, 54: 1036-1044. PMID: 31132159, PMCID: PMC6736918, DOI: 10.1111/1475-6773.13173.Peer-Reviewed Original ResearchThe 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
2018
Understanding the determinants of public trust in the health care system in China: an analysis of a cross-sectional survey
Zhao D, Zhao H, Cleary PD. Understanding the determinants of public trust in the health care system in China: an analysis of a cross-sectional survey. Journal Of Health Services Research & Policy 2018, 24: 37-43. PMID: 30176742, DOI: 10.1177/1355819618799113.Peer-Reviewed Original ResearchInternational variations in trust in health care systems
Zhao D, Zhao H, Cleary PD. International variations in trust in health care systems. The International Journal Of Health Planning And Management 2018, 34: 130-139. PMID: 30109894, DOI: 10.1002/hpm.2597.Peer-Reviewed Original ResearchConceptsGross national incomeHealth care expendituresNational incomeEconomic circumstancesCare expendituresInternational Social Survey ProgrammeHealth care systemCountry gross national incomeHigh health expendituresLower health care expendituresIntercountry variabilityHealth expenditurePublic trustHealth Care SurveyCare systemCapitaIntercountry differencesIncomeExpenditureCountriesRespondent's educationSurvey programLess trustInternational variationTrust
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 modelsThe relationship between voice climate and patients’ experience of timely care in primary care clinics
Nembhard IM, Yuan CT, Shabanova V, Cleary PD. The relationship between voice climate and patients’ experience of timely care in primary care clinics. Health Care Management Review 2015, 40: 104-115. PMID: 24589927, PMCID: PMC5428896, DOI: 10.1097/hmr.0000000000000017.Peer-Reviewed Original ResearchConceptsTimeliness of carePrimary care clinicsTimely carePatient care experiencesCare clinicsPatient experienceCare experiencesCross-sectional studyLess patientsStaff work environmentPatient reportsPatientsQuality careClinicAppointment timeCareClinical leadersAdministrative staffReportProfessional groupsWork environmentStaffAnalysis of varianceLeaders' reportsVoice climate
2014
Methodological Considerations When Studying the Association between Patient‐Reported Care Experiences and Mortality
Xu X, Buta E, Anhang Price R, Elliott MN, Hays RD, Cleary PD. Methodological Considerations When Studying the Association between Patient‐Reported Care Experiences and Mortality. Health Services Research 2014, 50: 1146-1161. PMID: 25483571, PMCID: PMC4545351, DOI: 10.1111/1475-6773.12264.Peer-Reviewed Original ResearchConceptsPatient care experiencesCare experiencesNational Death Index mortality dataMedical careCox proportional hazards modelNational Health Interview SurveyMedical Expenditure Panel Survey dataOverall care experienceProportional hazards modelHealth Interview SurveyPatient experience measuresCause mortalityClinic visitsHalf of respondentsAmenable deathsHazards modelRespondents ages 18MortalityAge 18Mortality dataDoctor's officeInterview SurveyExperience measuresDeathPatientsDevelopment and Evaluation of the CAHPS (Consumer Assessment of Healthcare Providers and Systems) Survey for In-Center Hemodialysis Patients
Weidmer BA, Cleary PD, Keller S, Evensen C, Hurtado MP, Kosiak B, Gallagher PM, Levine R, Hays RD. Development and Evaluation of the CAHPS (Consumer Assessment of Healthcare Providers and Systems) Survey for In-Center Hemodialysis Patients. American Journal Of Kidney Diseases 2014, 64: 753-760. PMID: 24998035, PMCID: PMC4356523, DOI: 10.1053/j.ajkd.2014.04.021.Peer-Reviewed Original ResearchConceptsGlobal ratingCenter carePatient experienceKidney doctorEnd-stage renal disease prospective payment systemIn-Center Hemodialysis PatientsMeasurement propertiesDialysis patientsHemodialysis patientsDialysis centersMulti-item scalesUS CentersPatientsDialysis facilitiesHealthcare providersAbstractTextInternal consistency reliabilityStudy designConsumer AssessmentMedicaid ServicesProspective payment systemCareFormative researchConsistency reliabilityAMPAre 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 statusHospitalThe Effect of Response Scale, Administration Mode, and Format on Responses to the CAHPS Clinician and Group Survey
Drake KM, Hargraves JL, Lloyd S, Gallagher PM, Cleary PD. The Effect of Response Scale, Administration Mode, and Format on Responses to the CAHPS Clinician and Group Survey. Health Services Research 2014, 49: 1387-1399. PMID: 24471975, PMCID: PMC4239855, DOI: 10.1111/1475-6773.12160.Peer-Reviewed Original Research
2013
Evaluation of a Care Coordination Measure for the Consumer Assessment of Healthcare Providers and Systems (CAHPS®) Medicare Survey
Hays RD, Martino S, Brown JA, Cui M, Cleary P, Gaillot S, Elliott M. Evaluation of a Care Coordination Measure for the Consumer Assessment of Healthcare Providers and Systems (CAHPS®) Medicare Survey. Medical Care Research And Review 2013, 71: 192-202. PMID: 24227813, PMCID: PMC3959996, DOI: 10.1177/1077558713508205.Peer-Reviewed Original ResearchConceptsCare coordinationHealthcare providersConsumer AssessmentCAHPS global ratingCare coordination measuresBetter care coordinationMedicare surveyOverall care qualityMedical recordsPersonal doctorPatient reportsStrong unique associationCare qualityGlobal ratingHealth careFive-item measureComposite scoreCarePlan performanceCoordination measuresUnique associationPatientsProvidersImproving the quality of mental health care in Multiple Sclerosis
Minden S, Ding L, Cleary P, Frankel D, Glanz B, Healy B, Rintell D. Improving the quality of mental health care in Multiple Sclerosis. Journal Of The Neurological Sciences 2013, 335: 42-47. PMID: 24183855, DOI: 10.1016/j.jns.2013.08.021.Peer-Reviewed Original ResearchConceptsMental health treatmentMental health professionalsMultiple sclerosisMental health careHealth treatmentHealth professionalsMental health problemsMS centersCare providersHealth problemsMental health treatment experiencesMS care providersPercent of patientsHealth careHealth Outcomes SurveySerious mental illnessBetter mental health careExperience of careKessler-6 scaleMS careMS patientsTreatment optionsOutcome SurveyTreatment experiencePatients
2012
Development and Evaluation of CAHPS Questions to Assess the Impact of Health Information Technology on Patient Experiences With Ambulatory Care
McInnes DK, Brown JA, Hays RD, Gallagher P, Ralston JD, Hugh M, Kanter M, Serrato CA, Cosenza C, Halamka J, Ding L, Cleary PD. Development and Evaluation of CAHPS Questions to Assess the Impact of Health Information Technology on Patient Experiences With Ambulatory Care. Medical Care 2012, 50: s11-s19. PMID: 23064271, PMCID: PMC3525454, DOI: 10.1097/mlr.0b013e3182610a50.Peer-Reviewed Original ResearchConceptsHealth information technologyPatient experienceProvider websitesInformation technologyItem-scale correlationsDoctors' useE-mailAcademic medical centerIndependent predictorsAmbulatory careMedical CenterHealth plansIntegrated delivery systemsCognitive testingConsumer AssessmentCronbach's αComputerHealth careCarePatientsWebsitesPhysiciansCAHPSFocus groupsOverall ratingDevelopment of and Field Test Results for the CAHPS PCMH Survey
Scholle SH, Vuong O, Ding L, Fry S, Gallagher P, Brown JA, Hays RD, Cleary PD. Development of and Field Test Results for the CAHPS PCMH Survey. Medical Care 2012, 50: s2-s10. PMID: 23064272, PMCID: PMC5388834, DOI: 10.1097/mlr.0b013e3182610aba.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedChildChild, PreschoolCommunity Health CentersConsumer BehaviorFactor Analysis, StatisticalFemaleFocus GroupsHealth Care SurveysHealth PersonnelHumansInfantInterviews as TopicMaleMiddle AgedPatient SatisfactionPatient-Centered CarePrimary Health CarePrivate PracticeReproducibility of ResultsSurveys and QuestionnairesUnited StatesYoung AdultConceptsEffective care practicesProcess of careMulti-item compositesPrimary careMedical homePediatric practiceSystems ClinicianCare practicesHealthcare providersConsumer AssessmentExpert panelSupplemental itemsPCMHCareChild versionCognitive interviewsExploratory factor analysisSurvey questionsPatientsBroad public inputCliniciansSafety Climate and Medical Errors in 62 US Emergency Departments
Camargo CA, Tsai CL, Sullivan AF, Cleary PD, Gordon JA, Guadagnoli E, Kaushal R, Magid DJ, Rao SR, Blumenthal D. Safety Climate and Medical Errors in 62 US Emergency Departments. Annals Of Emergency Medicine 2012, 60: 555-563.e20. PMID: 23089089, DOI: 10.1016/j.annemergmed.2012.02.018.Peer-Reviewed Original ResearchConceptsEmergency departmentAdverse eventsNational Emergency Department Safety StudyMedical errorsNational treatment guidelinesUS emergency departmentsPreventable adverse eventsUrban emergency departmentSafety climateTreatment guidelinesED patientsNear missesMedical recordsMultivariable modelSafety studiesSafety climate scoresSystem factorsClimate scoresED conditionsDepartmentPatientsIncidence