2022
Predicting counterfactual risks under hypothetical treatment strategies: an application to HIV
Dickerman BA, Dahabreh IJ, Cantos KV, Logan RW, Lodi S, Rentsch CT, Justice AC, Hernán MA. Predicting counterfactual risks under hypothetical treatment strategies: an application to HIV. European Journal Of Epidemiology 2022, 37: 367-376. PMID: 35190946, PMCID: PMC9189026, DOI: 10.1007/s10654-022-00855-8.Peer-Reviewed Original Research
2020
Serious Falls in Middle‐Aged Veterans: Development and Validation of a Predictive Risk Model
Womack JA, Murphy TE, Bathulapalli H, Smith A, Bates J, Jarad S, Redeker NS, Luther SL, Gill TM, Brandt CA, Justice AC. Serious Falls in Middle‐Aged Veterans: Development and Validation of a Predictive Risk Model. Journal Of The American Geriatrics Society 2020, 68: 2847-2854. PMID: 32860222, PMCID: PMC7744431, DOI: 10.1111/jgs.16773.Peer-Reviewed Original ResearchConceptsMiddle-aged veteransVeterans Health AdministrationOpioid useSerious fallsAlcohol Use Disorders Identification Test-Consumption scoresCategory-free net reclassification improvementIllicit substance use disordersMental health comorbiditiesPrescription opioid useMultivariable logistic regressionNet reclassification improvementSubstance use disordersQuality of lifeHazardous alcohol usePredictive risk modelChronic medicationsCohort studyHealth comorbiditiesNinth RevisionReclassification improvementGeriatric healthInjury codesHazardous alcoholInternational ClassificationUse disorders
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
2016
Protocol for three parallel multi-site stepped care effectiveness studies for unhealthy alcohol use in HIV-positive patients
Edelman EJ, Maisto SA, Hansen NB, Cutter CJ, Dziura J, Fiellin LE, O'Connor PG, Bedimo R, Gibert C, Marconi VC, Rimland D, Rodriguez-Barradas MC, Simberkoff MS, Justice AC, Bryant KJ, Fiellin DA. Protocol for three parallel multi-site stepped care effectiveness studies for unhealthy alcohol use in HIV-positive patients. Contemporary Clinical Trials 2016, 52: 80-90. PMID: 27876616, PMCID: PMC5253227, DOI: 10.1016/j.cct.2016.11.008.Peer-Reviewed Original ResearchConceptsUnhealthy alcohol useAlcohol use disorderHIV-positive patientsMotivational enhancement therapyAlcohol useWeek 12Risk drinkingWeek 4Effective evidence-based treatmentsInfectious disease clinicHIV-positive individualsModerate alcohol useEvidence-based treatmentsParticipants meeting criteriaImplementation of interventionsVACS IndexHIV careSecondary outcomesCare trialsDisease clinicHIV morbidityPrimary outcomeAlcohol pharmacotherapyInitial treatmentLiver diseaseFracture Prediction With Modified-FRAX in Older HIV-Infected and Uninfected Men
Yin MT, Shiau S, Rimland D, Gibert CL, Bedimo RJ, Rodriguez-Barradas MC, Harwood K, Aschheim J, Justice AC, Womack JA. Fracture Prediction With Modified-FRAX in Older HIV-Infected and Uninfected Men. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2016, 72: 513-520. PMID: 27003493, PMCID: PMC4942335, DOI: 10.1097/qai.0000000000000998.Peer-Reviewed Original ResearchConceptsUninfected menOlder HIVSecondary osteoporosisFRAX calculationVeterans Aging Cohort Study Virtual CohortFracture Risk CalculatorIncident fragility fracturesMajor osteoporotic fractureIncident fracturesPharmacologic therapyFragility fracturesHip fractureHIV statusFracture preventionOsteoporotic fracturesRisk calculatorFracture ratesBone densityCase findingFRAXHIVVirtual cohortOsteoporosisComplete dataMen
2013
Validation of an algorithm to identify antiretroviral‐naïve status at time of entry into a large, observational cohort of HIV‐infected patients
Gandhi NR, Tate JP, Rodriguez‐Barradas M, Rimland D, Goetz MB, Gibert C, Brown ST, Mattocks K, Justice AC. Validation of an algorithm to identify antiretroviral‐naïve status at time of entry into a large, observational cohort of HIV‐infected patients. Pharmacoepidemiology And Drug Safety 2013, 22: 1019-1025. PMID: 23836591, PMCID: PMC3831617, DOI: 10.1002/pds.3476.Peer-Reviewed Original ResearchConceptsART-naïve patientsViral load thresholdMedical record reviewAntiretroviral treatmentMedical recordsHIV cohortObservational cohortRecord reviewVeterans Aging Cohort Study Virtual CohortVirtual cohortPrevious antiretroviral treatmentLaboratory dataPatients' medical recordsPositive predictive value 87Cohort entryAdverse eventsHIV outcomesRandomized trialsRetrospective studyAdverse reactionsTime of entryCopies/ART treatmentTreatment statusTreatment historyA Study of Financial Incentives to Reduce Plasma HIV RNA Among Patients in Care
Farber S, Tate J, Frank C, Ardito D, Kozal M, Justice AC, Scott Braithwaite R. A Study of Financial Incentives to Reduce Plasma HIV RNA Among Patients in Care. AIDS And Behavior 2013, 17: 2293-2300. PMID: 23404097, PMCID: PMC3742414, DOI: 10.1007/s10461-013-0416-1.Peer-Reviewed Original ResearchConceptsViral load suppressionFeasibility outcomesPatient acceptabilityPatient comprehensionPlasma HIV RNADetectable viral loadViral load testsSingle-site studyEligible patientsHIV careHIV RNAART adherenceViral loadHIV transmissionOwn controlPatientsPatient workflowFinancial incentivesOutcomesCareDownstream costsIncentive sizeBiological outcomesAcceptabilityClinic
2011
Validating Smoking Data From the Veteran’s Affairs Health Factors Dataset, an Electronic Data Source
McGinnis KA, Brandt CA, Skanderson M, Justice AC, Shahrir S, Butt AA, Brown ST, Freiberg MS, Gibert CL, Goetz MB, Kim JW, Pisani MA, Rimland D, Rodriguez-Barradas MC, Sico JJ, Tindle HA, Crothers K. Validating Smoking Data From the Veteran’s Affairs Health Factors Dataset, an Electronic Data Source. Nicotine & Tobacco Research 2011, 13: 1233-1239. PMID: 21911825, PMCID: PMC3223583, DOI: 10.1093/ntr/ntr206.Peer-Reviewed Original ResearchConceptsSmoking statusHealth factorsSmoking dataKappa statisticsSmoking variablesVeterans Aging Cohort StudyAging Cohort StudySelf-reported smoking dataCohort studyCurrent smokersSmoking interventionsVirtual cohortElectronic data sourcesEMR dataFuture studiesStatusParticipantsFactorsHIVSmokersSmokingStudy surveyCohortValidity of diagnostic codes and liver‐related laboratory abnormalities to identify hepatic decompensation events in the Veterans Aging Cohort Study
Re V, Lim JK, Goetz MB, Tate J, Bathulapalli H, Klein MB, Rimland D, Rodriguez‐Barradas M, Butt AA, Gibert CL, Brown ST, Kidwai F, Brandt C, Dorey‐Stein Z, Reddy KR, Justice AC. Validity of diagnostic codes and liver‐related laboratory abnormalities to identify hepatic decompensation events in the Veterans Aging Cohort Study. Pharmacoepidemiology And Drug Safety 2011, 20: 689-699. PMID: 21626605, PMCID: PMC3131229, DOI: 10.1002/pds.2148.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyHepatic decompensation eventsPositive predictive valueHigh positive predictive valueLaboratory abnormalitiesAging Cohort StudyDecompensation eventsDiagnostic codesCohort studyHepatic decompensationVariceal hemorrhageOutpatient diagnostic codesChronic liver diseaseSpontaneous bacterial peritonitisImpact of medicationLiver dysfunctionBacterial peritonitisLiver diseaseMedical recordsOutpatient codesPredictive valueNatural historyAbnormalitiesEpidemiologic researchPatients
2010
A comparison of two approaches to text processing: facilitating chart reviews of radiology reports in electronic medical records.
Womack JA, Scotch M, Gibert C, Chapman W, Yin M, Justice AC, Brandt C. A comparison of two approaches to text processing: facilitating chart reviews of radiology reports in electronic medical records. Perspectives In Health Information Management Is 2010, 7: 1a. PMID: 21063542, PMCID: PMC2966352.Peer-Reviewed Original Research
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
2005
Algorithm for assessing patients' adherence to oral hypoglycemic medication.
Kilbourne AM, Good CB, Sereika SM, Justice AC, Fine MJ. Algorithm for assessing patients' adherence to oral hypoglycemic medication. American Journal Of Health-System Pharmacy 2005, 62: 198-204. PMID: 15700895, DOI: 10.1093/ajhp/62.2.198.Peer-Reviewed Original Research