2024
Processing and validation of inpatient Medicare Advantage data for use in hospital outcome measures
Kyanko K, Sahay K, Wang Y, Schreiber M, Hager M, Myers R, Johnson W, Zhang J, Yen B, Suter L, Triche E, Li S. Processing and validation of inpatient Medicare Advantage data for use in hospital outcome measures. Health Services Research 2024 PMID: 38961668, DOI: 10.1111/1475-6773.14350.Peer-Reviewed Original ResearchCenters for Medicare & Medicaid ServicesMedicare Advantage OrganizationsHospital outcome measuresPrincipal diagnosis codeOutcome measuresInpatient claimsDiagnosis codesMedicare AdvantageNational Provider IdentifierMedicare Advantage dataAcute careIntegrated data repositoryProvider IdentifierMedicaid ServicesMedicare dischargesMA claimsDuplicate claimsMA dataDemographic characteristicsCertificate numberMedicareHospitalEnrollment dataCompare diagnosesAdmissionIncorporating Medicare Advantage Admissions Into the CMS Hospital-Wide Readmission Measure
Kyanko K, Sahay K, Wang Y, Li S, Schreiber M, Hager M, Myers R, Johnson W, Zhang J, Krumholz H, Suter L, Triche E. Incorporating Medicare Advantage Admissions Into the CMS Hospital-Wide Readmission Measure. JAMA Network Open 2024, 7: e2414431. PMID: 38829614, PMCID: PMC11148674, DOI: 10.1001/jamanetworkopen.2024.14431.Peer-Reviewed Original ResearchConceptsCenters for Medicare & Medicaid ServicesSpecialty subgroupsPerformance quintileMedicare AdvantageReadmission ratesRisk-standardized readmission ratesHospital-wide readmission measureHospital outcome measuresTest-retest reliabilityRisk-adjustment variablesMeasurement reliabilityAdministrative claims dataReadmission measuresImprove measurement reliabilityIntegrated data repositoryMA beneficiariesQuintile rankingsMedicare beneficiariesMedicaid ServicesAll-causePublic reportingStudy assessed differencesClaims dataOutcome measuresMA cohort
2021
Incorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models
Triche EW, Xin X, Stackland S, Purvis D, Harris A, Yu H, Grady JN, Li SX, Bernheim SM, Krumholz HM, Poyer J, Dorsey K. Incorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models. JAMA Network Open 2021, 4: e218512. PMID: 33978722, PMCID: PMC8116982, DOI: 10.1001/jamanetworkopen.2021.8512.Peer-Reviewed Original ResearchConceptsPOA indicatorRisk factorsOutcome measuresQuality outcome measuresRisk-adjustment modelsClaims dataAdmission indicatorsPatient risk factorsAcute myocardial infarctionPatient-level outcomesAdministrative claims dataQuality improvement studyClaims-based measuresComparative effectiveness studiesPatient claims dataInternational Statistical ClassificationMortality outcome measuresRelated Health ProblemsHospital quality measuresRisk model performanceHospital stayIndex admissionCare algorithmHeart failureMortality outcomes
2013
Combination of Robot-Assisted and Conventional Body-Weight–Supported Treadmill Training Improves Gait in Persons With Multiple Sclerosis
Ruiz J, Labas M, Triche E, Lo A. Combination of Robot-Assisted and Conventional Body-Weight–Supported Treadmill Training Improves Gait in Persons With Multiple Sclerosis. Journal Of Neurologic Physical Therapy 2013, 37: 187-193. PMID: 24189336, DOI: 10.1097/npt.0000000000000018.Peer-Reviewed Original ResearchConceptsFunctional Reach TestGait trainingDT groupTreadmill trainingWalk testTherapy groupIT groupRobot-assisted treadmill trainingImmediate therapy groupConcurrent comparison groupMajority of personsQuality of lifePre-post improvementsMultiple sclerosisEffective therapyReach testOutcome measuresBody weightFRT distancePhase ISame sessionVideo AbstractComparison groupPhase IIRobot-Assisted
2011
Effect of robot-assisted versus conventional body-weight-supported treadmill training on quality of life for people with multiple sclerosis
Wier L, Hatcher M, Triche E, Lo A. Effect of robot-assisted versus conventional body-weight-supported treadmill training on quality of life for people with multiple sclerosis. The Journal Of Rehabilitation Research And Development 2011, 48: 483. PMID: 21674396, DOI: 10.1682/jrrd.2010.03.0035.Peer-Reviewed Original ResearchConceptsQuality of lifeTreadmill trainingPhysical component summary scoreComponent summary scoresMultiple sclerosis patientsQOL outcome measuresTraining sessionsGait dysfunctionSclerosis patientsMultiple sclerosisGait impairmentBWSTTOutcome measuresQOL measuresSummary scoresLongitudinal changesPilot studySignificant differencesQoLR groupSignificant improvementSessionsSclerosisPatientsDysfunction