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 guidelinesGuidelinesRecordsDiseaseCardiology
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
2018
Accuracy of electronic health record data for the diagnosis of chronic obstructive pulmonary disease in persons living with HIV and uninfected persons
Crothers K, Rodriguez CV, Nance RM, Akgun K, Shahrir S, Kim J, Hoo G, Sharafkhaneh A, Crane HM, Justice AC. Accuracy of electronic health record data for the diagnosis of chronic obstructive pulmonary disease in persons living with HIV and uninfected persons. Pharmacoepidemiology And Drug Safety 2018, 28: 140-147. PMID: 29923258, PMCID: PMC6309326, DOI: 10.1002/pds.4567.Peer-Reviewed Original ResearchMeSH KeywordsAdministration, InhalationAge FactorsAlgorithmsBronchodilator AgentsCohort StudiesData AccuracyData Interpretation, StatisticalDrug PrescriptionsElectronic Health RecordsFemaleHIV InfectionsHumansInternational Classification of DiseasesLogistic ModelsMaleMiddle AgedNebulizers and VaporizersPrevalencePulmonary Disease, Chronic ObstructiveRisk FactorsSmokingSpirometryConceptsChronic obstructive pulmonary diseaseICD-9 codesObstructive pulmonary diseaseElectronic health record dataHealth record dataPulmonary diseaseHIV-Associated Lung Emphysema (EXHALE) studyIntegrated Clinical Systems cohortVeterans Aging Cohort StudyHIV uninfected personsAIDS Research NetworkAging Cohort StudyRecord dataEHR dataReceiver-operating curveCohort studyRespiratory symptomsHIV statusUninfected personsClinical variablesDevelopment cohortClinical indicationsSpirometry dataSpirometryUninfected individuals
2017
Validating Harmful Alcohol Use as a Phenotype for Genetic Discovery Using Phosphatidylethanol and a Polymorphism in ADH1B
Justice AC, McGinnis KA, Tate JP, Xu K, Becker WC, Zhao H, Gelernter J, Kranzler HR. Validating Harmful Alcohol Use as a Phenotype for Genetic Discovery Using Phosphatidylethanol and a Polymorphism in ADH1B. Alcohol Clinical And Experimental Research 2017, 41: 998-1003. PMID: 28295416, PMCID: PMC5501250, DOI: 10.1111/acer.13373.Peer-Reviewed Original ResearchConceptsHarmful alcohol useAlcohol exposureAlcohol useElectronic health record dataEHR dataAUDIT-C scoresHealth record dataLongitudinal electronic health record dataLongitudinal trajectoriesChi-square testEHR-derived phenotypesStudy cohortBlood drawCommon missense polymorphismGenetic risk variantsBlood samplingMissense polymorphismAlcohol riskQuantitative biomarkersRecord dataMedianRisk variantsOverall sampleAfrican AmericansADH1B gene