2022
Potentially inappropriate medication use by level of polypharmacy among US Veterans 49–64 and 65–70 years old
Guillot J, Rentsch CT, Gordon KS, Justice AC, Bezin J. Potentially inappropriate medication use by level of polypharmacy among US Veterans 49–64 and 65–70 years old. Pharmacoepidemiology And Drug Safety 2022, 31: 1056-1074. PMID: 35780391, PMCID: PMC9464694, DOI: 10.1002/pds.5506.Peer-Reviewed Original ResearchConceptsLevel of polypharmacyRace/ethnicityPIM prevalencePrevalence of PIMsInappropriate medication useElectronic health recordsCommon PIMsPharmacy fillsPROMPT criteriaInappropriate medicationsOlder patientsMedication usePsychotropic medicationsRefill recordsPolypharmacyPatientsVeterans AffairsMedicationsPrevalenceHealth recordsFiscal year 2016AgeMeaningful differencesSexTarget ageUsing the biomarker cotinine and survey self-report to validate smoking data from United States Veterans Health Administration electronic health records
McGinnis K, Skanderson M, Justice A, Tindle H, Akgün K, Wrona A, Freiberg M, Goetz M, Rodriguez-Barradas M, Brown S, Crothers K. Using the biomarker cotinine and survey self-report to validate smoking data from United States Veterans Health Administration electronic health records. JAMIA Open 2022, 5: ooac040. PMID: 37252267, PMCID: PMC9154288, DOI: 10.1093/jamiaopen/ooac040.Peer-Reviewed Original ResearchICD-10 codesClinical remindersCurrent smokingSmoking dataSelf-reported smoking statusVeterans Health Administration electronic health recordsCohort Study participantsElectronic health record dataHealth record dataElectronic health recordsSmoking informationSmoking statusSalivary cotinineEpidemiologic studiesInternational ClassificationSmokingCotinineStudy participantsICD-10Health systemHealth recordsRecord dataKappa statisticsAfrican AmericansReminders
2021
COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients
Stewart M, Rodriguez-Watson C, Albayrak A, Asubonteng J, Belli A, Brown T, Cho K, Das R, Eldridge E, Gatto N, Gelman A, Gerlovin H, Goldberg SL, Hansen E, Hirsch J, Ho YL, Ip A, Izano M, Jones J, Justice AC, Klesh R, Kuranz S, Lam C, Mao Q, Mataraso S, Mera R, Posner DC, Rassen JA, Siefkas A, Schrag A, Tourassi G, Weckstein A, Wolf F, Bhat A, Winckler S, Sigal EV, Allen J. COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients. PLOS ONE 2021, 16: e0248128. PMID: 33730088, PMCID: PMC7968637, DOI: 10.1371/journal.pone.0248128.Peer-Reviewed Original ResearchConceptsHospitalized COVID-19 patientsCOVID-19 patientsUse of hydroxychloroquineElectronic health recordsAdverse eventsTreatment groupsCOVID-19Administration of hydroxychloroquineReagan-Udall FoundationProportional hazards modelHealth systems researchHospitalized patientsElevated riskPropensity score methodsHazards modelHydroxychloroquinePatientsSignificant global threatPharmaceutical interventionsAzithromycinHealth recordsMortalityCOVID-19 pandemicCancer researchTreatment
2020
Estimating Aspirin Overuse for Primary Prevention of Atherosclerotic Cardiovascular Disease (from a Nationwide Healthcare System)
Ong SY, Chui P, Bhargava A, Justice A, Hauser RG. Estimating Aspirin Overuse for Primary Prevention of Atherosclerotic Cardiovascular Disease (from a Nationwide Healthcare System). The American Journal Of Cardiology 2020, 137: 25-30. PMID: 32991852, DOI: 10.1016/j.amjcard.2020.09.042.Peer-Reviewed Original ResearchConceptsLow-dose aspirinElectronic health recordsSelf-reported useEHR dataPatients' self-reported useLow-dose aspirin useAtherosclerotic cardiovascular diseaseAmerican Heart AssociationEHR recordsNon-specific terminologyAspirin usePrimary preventionHeart AssociationCardiovascular diseaseAmerican CollegeAspirinPatientsHealth recordsEHR implementationEHR searchesImplementable guidelinesGuidelinesRecordsDiseaseCardiologyPolypharmacy in HIV: recent insights and future directions.
Edelman EJ, Rentsch CT, Justice AC. Polypharmacy in HIV: recent insights and future directions. Current Opinion In HIV And AIDS 2020, 15: 126-133. PMID: 31833963, PMCID: PMC7543953, DOI: 10.1097/coh.0000000000000608.Commentaries, Editorials and LettersConceptsSeverity of illnessInappropriate medicationsDrug interactionsActual adverse eventsSubstance useTotal drug burdenMechanism of injuryElectronic health recordsNonantiretroviral medicationsUpdate findingsMore medicationsAdverse eventsDrug burdenClinical managementPolypharmacyDirect biomarkerMedicationsModifiable mechanismsPWHSicker individualsHealth recordsStrong associationHIVInjuryIllness
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
2017
Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains
Rajeevan N, Niehoff KM, Charpentier P, Levin FL, Justice A, Brandt CA, Fried TR, Miller PL. Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains. BMC Medical Informatics And Decision Making 2017, 17: 111. PMID: 28724368, PMCID: PMC5517800, DOI: 10.1186/s12911-017-0501-x.Peer-Reviewed Original ResearchConceptsClinical decision supportElectronic health recordsCDS systemsDecision supportPatient-specific clinical decision supportEHR environmentInformatics challengesWeb-based clinical decision supportHealth recordsPatient dataWeb technologiesData accessComputational infrastructureParticular architectureIssues/challengesDesign issuesSuch systemsInformatics methodsPowerful setData availabilityVeterans AdministrationInfrastructureVA electronic health recordClinical domainsUS Veterans Administration
2016
Estimating healthcare mobility in the Veterans Affairs Healthcare System
Wang KH, Goulet JL, Carroll CM, Skanderson M, Fodeh S, Erdos J, Womack JA, Abel EA, Bathulapalli H, Justice AC, Nunez-Smith M, Brandt CA. Estimating healthcare mobility in the Veterans Affairs Healthcare System. BMC Health Services Research 2016, 16: 609. PMID: 27769221, PMCID: PMC5075153, DOI: 10.1186/s12913-016-1841-4.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overDelivery of Health CareElectronic Health RecordsEmigration and ImmigrationFemaleHospitals, VeteransHumansMaleMental DisordersMiddle AgedPatient Acceptance of Health CareRetrospective StudiesUnited StatesUnited States Department of Veterans AffairsVeteransVeterans HealthYoung AdultConceptsHealthcare systemVeterans Health Administration electronic health recordsVeterans Affairs Healthcare SystemHealthcare mobilityRetrospective cohort studyHepatitis C virusOutcomes of careDifferent healthcare systemsDistinct healthcare systemsElectronic health recordsClinical characteristicsCohort studyHealthcare utilizationC virusSpecialty carePsychiatric disordersYounger veteransDisease preventionYounger agePopulation healthHealth recordsVeteransStatus changesCareYear period