2024
Measuring Access to Mental Health Services Among Primary Care Patients
Hargraves J, Cosenza C, Cleary P. Measuring Access to Mental Health Services Among Primary Care Patients. Medical Care 2024, 62: 559-566. PMID: 38842445, PMCID: PMC11226347, DOI: 10.1097/mlr.0000000000002029.Peer-Reviewed Original ResearchConceptsConsumer Assessment of Healthcare Providers and SystemsMental health servicesPrivately insured respondentsMental health medicinesHealth servicesHealth medicineHealth careAssessment of Healthcare Providers and SystemsHealthcare Providers and SystemsRisk of mental health disordersMental health prescriptionsPatient experience surveysPrimary care servicesPrimary care patientsMental health carePrimary care settingBehavioral health careMental health medicationsMental health disordersInternal consistency reliabilityStratified probability sampleMeasure accessAdequate internal consistency reliabilityCare settingsCare services
2023
Changes in Patient Experiences of Hospital Care During the COVID-19 Pandemic
Elliott M, Beckett M, Cohea C, Lehrman W, Cleary P, Giordano L, Russ C, Goldstein E, Fleisher L. Changes in Patient Experiences of Hospital Care During the COVID-19 Pandemic. JAMA Health Forum 2023, 4: e232766. PMID: 37624612, PMCID: PMC10457712, DOI: 10.1001/jamahealthforum.2023.2766.Peer-Reviewed Original ResearchConceptsCohort studyPatient experienceCare experiencesTop quartile hospitalsAffected measuresAge 65 yearsSurgical service linesStaffing levelsCOVID-19 pandemicPatient experience scoresPatient care experiencesEffect sizePrimary outcomeHCAHPS measuresPrepandemic dataHospital careMAIN OUTCOMESummary scoresHCAHPS scoresUS hospitalsLarge effect sizesPrimary analysisHospitalDischarge informationSecondary analysis
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
Associations of Mail Survey Length and Layout With Response Rates
Burkhart Q, Orr N, Brown JA, Hays RD, Cleary PD, Beckett MK, Perry SE, Gaillot S, Elliott MN. Associations of Mail Survey Length and Layout With Response Rates. Medical Care Research And Review 2019, 78: 441-448. PMID: 31747849, DOI: 10.1177/1077558719888407.Peer-Reviewed Original ResearchThe 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 biasVisitsDifferences 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 ResearchConceptsFFS 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
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
2016
Advice to Quit Smoking and Ratings of Health Care among Medicare Beneficiaries Aged 65+
Winpenny E, Elliott MN, Haas A, Haviland AM, Orr N, Shadel WG, Ma S, Friedberg MW, Cleary PD. Advice to Quit Smoking and Ratings of Health Care among Medicare Beneficiaries Aged 65+. Health Services Research 2016, 52: 207-219. PMID: 27061081, PMCID: PMC5264017, DOI: 10.1111/1475-6773.12491.Peer-Reviewed Original ResearchConceptsCare experiencesPatient experience measuresPatient care experiencesMedicare Consumer AssessmentCessation advicePhysician advicePatient assessmentAged 65Physician communicationPhysician ratingsHealthcare providersSmokingFixed-effects linear regression modelsConsumer AssessmentCross-sectional survey dataSystem surveyHealth careExperience measuresSmokersPositive associationLinear regression modelsRegression modelsRepresentative sampleAdvicePhysiciansMedicare 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
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
Clinician advice to quit smoking among seniors
Shadel WG, Elliott MN, Haas AC, Haviland AM, Orr N, Farmer MM, Ma S, Weech-Maldonado R, Farley DO, Cleary PD. Clinician advice to quit smoking among seniors. Preventive Medicine 2014, 70: 83-89. PMID: 25482423, PMCID: PMC5428890, DOI: 10.1016/j.ypmed.2014.11.020.Peer-Reviewed Original ResearchMeSH KeywordsAge DistributionAgedAged, 80 and overCommunicationEducational StatusFemaleGeographyHealth Care SurveysHealth StatusHumansLinear ModelsMaleMedicareMinority HealthPatient Education as TopicPhysician-Patient RelationsPractice Patterns, Physicians'PrevalenceSex DistributionSmokingSmoking CessationSmoking PreventionUnited StatesConceptsCessation adviceProportion of smokersAmerican Indian/Alaskan NativeClinician advicePersons 50System survey dataSmoking ratesDoctor visitsAfrican American seniorsMedicare beneficiariesAge 64Healthcare providersConsumer AssessmentAlaskan NativesSmoking researchBeneficiary characteristicsUS seniorsSmokersSmokingCliniciansConsistent interventionOld smokeAdviceFemale respondentsSeniorsDevelopment 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 associationPatientsProviders