Accuracy of diagnosis and health service codes in identifying frailty in Medicare data
Festa N, Shi SM, Kim DH. Accuracy of diagnosis and health service codes in identifying frailty in Medicare data. BMC Geriatrics 2020, 20: 329. PMID: 32894057, PMCID: PMC7487915, DOI: 10.1186/s12877-020-01739-w.Peer-Reviewed Original ResearchConceptsClinical frailty indexFrailty indexFrailty phenotypeMedicare dataClaims-based frailty indexDeficit-accumulation frailty indexMethodsThis cross-sectional studyPopulation health management strategiesService Medicare enrollmentHigh-risk patientsAdministrative claims dataCross-sectional studyClinical knowledgeClinical reference standardAccuracy of diagnosisFrailty statusClinical criteriaContinuous feeClinical definitionClaims dataStudy subsampleFrailtyMedicare enrollmentHealth management strategiesHospital bedsIdentifying Medicare beneficiaries with dementia
Moura LMVR, Festa N, Price M, Volya M, Benson NM, Zafar S, Weiss M, Blacker D, Normand S, Newhouse JP, Hsu J. Identifying Medicare beneficiaries with dementia. Journal Of The American Geriatrics Society 2021, 69: 2240-2251. PMID: 33901296, PMCID: PMC8373730, DOI: 10.1111/jgs.17183.Peer-Reviewed Original ResearchConceptsClaims-based definitionEligible populationElectronic health recordsAccountable care organizationsMedical recordsDiagnostic codesMedicare beneficiariesReference standardICD-10 diagnostic codesICD-9 definitionRetrospective observational studyIndividual-level linkageService Medicare beneficiariesPatients' medical recordsClaims-based diagnosesClinical reference standardNon-Hispanic whitesPretest likelihoodDementia statusObservational studyInternational ClassificationAverage ageDementia diagnosisStandardized reviewDementia