2020
Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index
King JT, Yoon JS, Rentsch CT, Tate JP, Park LS, Kidwai-Khan F, Skanderson M, Hauser RG, Jacobson DA, Erdos J, Cho K, Ramoni R, Gagnon DR, Justice AC. Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index. PLOS ONE 2020, 15: e0241825. PMID: 33175863, PMCID: PMC7657526, DOI: 10.1371/journal.pone.0241825.Peer-Reviewed Original ResearchConceptsCharlson Comorbidity IndexVeterans Health AdministrationVACO IndexValidation cohortMedical administrative dataDevelopment cohortSARS-CoV-2 testing resultsMortality indexICD-10 diagnosis codesUS Veterans Health AdministrationSARS-CoV-2 infectionPre-existing medical conditionsCOVID-19 mortality riskPeripheral vascular diseaseCOVID-19 patientsCOVID-19 infectionCOVID-19 mortalitySARS-CoV-2Administrative dataLogistic regression modelsRace/ethnicityCohort subgroupsComorbidity indexOverall mortalityComorbid conditions
2019
Measuring Exposure to Incarceration Using the Electronic Health Record
Wang EA, Long JB, McGinnis KA, Wang KH, Wildeman CJ, Kim C, Bucklen KB, Fiellin DA, Bates J, Brandt C, Justice AC. Measuring Exposure to Incarceration Using the Electronic Health Record. Medical Care 2019, 57: s157-s163. PMID: 31095055, PMCID: PMC8352066, DOI: 10.1097/mlr.0000000000001049.Peer-Reviewed Original ResearchMeSH KeywordsAdministrative Claims, HealthcareAdultCohort StudiesElectronic Health RecordsEthnicityFemaleHumansInformation Storage and RetrievalMaleMedicareMiddle AgedNatural Language ProcessingPrisonersSelf ReportSensitivity and SpecificityUnited StatesUnited States Department of Veterans AffairsVeteransConceptsVeterans Aging Cohort StudyElectronic health recordsHuman immunodeficiency virus-infected patientsVHA electronic health recordsNational observational cohortVirus-infected patientsHealth recordsAging Cohort StudyEHR dataHealth care disparitiesAdministrative dataRace/ethnicityIncarceration exposureObservational cohortUninfected patientsCohort studySpecificity 99.3DATA SOURCESCare disparitiesSpecificity 100Specificity 98.9Social determinantsMedicaid ServicesSpecificity 95.9Health information
2006
Development and Verification of a “Virtual” Cohort Using the National VA Health Information System
Fultz SL, Skanderson M, Mole LA, Gandhi N, Bryant K, Crystal S, Justice AC. Development and Verification of a “Virtual” Cohort Using the National VA Health Information System. Medical Care 2006, 44: s25-s30. PMID: 16849965, DOI: 10.1097/01.mlr.0000223670.00890.74.Peer-Reviewed Original ResearchConceptsPositive predictive valueIntegrated electronic medical recordsOutpatient codesPredictive valueCohort of veteransVA administrative dataElectronic medical recordsAdministrative dataMajority of subjectsInpatient codesSimilar HIVHAART eraHIV infectionCase RegistryPharmacy benefit managementPharmacy dataMedical recordsClinical dataLarge cohortConfirmatory laboratoryIndependent clinical dataHIVHealth information systemsVirtual cohortCohort
2003
Understanding racial disparities in HIV using data from the veterans aging cohort 3-site study and VA administrative data.
McGinnis KA, Fine MJ, Sharma RK, Skanderson M, Wagner JH, Rodriguez-Barradas MC, Rabeneck L, Justice AC. Understanding racial disparities in HIV using data from the veterans aging cohort 3-site study and VA administrative data. American Journal Of Public Health 2003, 93: 1728-33. PMID: 14534229, PMCID: PMC1448041, DOI: 10.2105/ajph.93.10.1728.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntiretroviral Therapy, Highly ActiveBlack or African AmericanCohort StudiesDisease ManagementFemaleHispanic or LatinoHIV SeropositivityHumansMaleMiddle AgedPatient Acceptance of Health CarePatient ComplianceProportional Hazards ModelsSocioeconomic FactorsSurvival AnalysisUnited StatesUnited States Department of Veterans AffairsVeteransWhite PeopleConceptsWhite veteransClinical managementMinority veteransHealth statusVeterans Aging CohortSeverity of illnessVA administrative dataRace-associated differencesHigh mortality ratePatients' health statusNational administrative dataAdministrative dataPossible etiologiesUS veteransPoor survivalMortality rateAging CohortHIVPoor healthRacial disparitiesVeteransSignificant differencesSurvivalCohortAdherence