2018
Gender and alcohol use
Matson TE, McGinnis KA, Rubinsky AD, Frost MC, Czarnogorski M, Bryant KJ, Edelman EJ, Satre DD, Catz SL, Bensley KM, Fiellin DA, Justice AC, Williams EC. Gender and alcohol use. AIDS 2018, 32: 2247-2253. PMID: 30005010, PMCID: PMC6136970, DOI: 10.1097/qad.0000000000001946.Peer-Reviewed Original ResearchConceptsAlcohol useHIV careViral suppressionART treatmentVeterans Aging Cohort Study (VACS) dataVeterans Health Administration patientsAUDIT-C alcoholHIV medical careHIV care continuumLarge national cohortCohort study dataPoisson regression modelsPrescribed ARTPrevalence of engagementRetrospective cohortNational cohortUS veteransWorse outcomesCare continuumRelative riskStratified analysisMedical careHIVGender modifiesWomenLevel of Alcohol Use Associated with HIV Care Continuum Targets in a National U.S. Sample of Persons Living with HIV Receiving Healthcare
Williams EC, McGinnis KA, Edelman EJ, Matson TE, Gordon AJ, Marshall BDL, Bryant KJ, Rubinsky AD, Lapham GT, Satre DD, Richards JE, Catz SL, Fiellin DA, Justice AC, Bradley KA. Level of Alcohol Use Associated with HIV Care Continuum Targets in a National U.S. Sample of Persons Living with HIV Receiving Healthcare. AIDS And Behavior 2018, 23: 140-151. PMID: 29995206, PMCID: PMC6344313, DOI: 10.1007/s10461-018-2210-6.Peer-Reviewed Original ResearchConceptsViral suppressionAlcohol use levelsART treatmentVeterans Aging Cohort Study (VACS) dataAlcohol useAUDIT-C screeningCare continuum outcomesHIV care continuumCohort study dataHigh-level drinkingPoisson regression modelsContinuum outcomesHIV treatmentAdjusted prevalenceCare engagementCare continuumGreater alcohol useHIVPatientsUse levelsTreatmentRegression modelsStudy dataNational U.S. sampleAssociation
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 history