2023
Risk factors for suicide among veterans living with and without HIV: a nested case-control study
Smith A, Goulet J, Vlahov D, Justice A, Womack J. Risk factors for suicide among veterans living with and without HIV: a nested case-control study. AIDS And Behavior 2023, 28: 115-124. PMID: 37751112, PMCID: PMC11289766, DOI: 10.1007/s10461-023-04164-3.Peer-Reviewed Original ResearchHIV-specific risk factorsVeterans Aging Cohort StudyCase-control studyRisk factorsRisk of suicideAging Cohort StudyDiagnosis of HIVMost risk factorsUse of benzodiazepinesConditional logistic regressionMental health treatmentSubstance use disordersPrevious suicide attemptsCohort studyHIV statusRates of suicideHigh prevalenceGeneral populationUse disordersHealth treatmentAffective disordersHIVSuicide attemptsLogistic regressionPWHGraded chronic pain scale revised: validation in a Veteran sample
Taub C, Gordon K, Goulet J, Lee A, Mayhew M, Von Korff M, DeBar L, Kerns R. Graded chronic pain scale revised: validation in a Veteran sample. Pain Medicine 2023, 24: 1169-1175. PMID: 37220899, PMCID: PMC10546477, DOI: 10.1093/pm/pnad068.Peer-Reviewed Original ResearchConceptsGraded Chronic Pain ScaleHigh-impact chronic painAdjusted odds ratioMild chronic painChronic Pain ScaleChronic painPain scaleConfidence intervalsLong-term opioid therapyHigh-risk populationOpioid therapyPain gradeUS veteransOdds ratioActivity limitationsPainPain researchLogistic regressionVeteran sampleHealth indicatorsStudy objectiveConvergent validityValidation studyVeteransPsychological variables41 Prevalence of Diabetes Among Veterans by Sexual Orientation
Duncan M, Streed C, Beach L, O’Leary J, Skanderson M, Goulet J. 41 Prevalence of Diabetes Among Veterans by Sexual Orientation. Journal Of Clinical And Translational Science 2023, 7: 10-11. PMCID: PMC10129609, DOI: 10.1017/cts.2023.133.Peer-Reviewed Original ResearchCardiovascular healthLGB veteransGeneral cardiovascular healthCardiovascular risk factorsPoor cardiovascular healthFirst clinic visitPrevalence of diabetesEHR cohortIndex dateClinic visitsCurrent smokingSmoking statusMean ageRisk factorsLarge cohortHigher oddsHispanic ethnicityPrevalent DMVeteran cohortPrevalent diseaseSO groupLogistic regressionOne-yearBisexual menCohort
2020
Using Explainable Deep Learning and Logistic Regression to Evaluate Complementary and Integrative Health Treatments in Patients with Musculoskeletal Disorders
Redd D, Goulet J, Zeng-Treitler Q. Using Explainable Deep Learning and Logistic Regression to Evaluate Complementary and Integrative Health Treatments in Patients with Musculoskeletal Disorders. 2016 49th Hawaii International Conference On System Sciences (HICSS) 2020 DOI: 10.24251/hicss.2020.398.Peer-Reviewed Original Research
2019
Predictors of initiation of and retention on medications for alcohol use disorder among people living with and without HIV
Oldfield BJ, McGinnis KA, Edelman EJ, Williams EC, Gordon AJ, Akgün K, Crystal S, Fiellin LE, Gaither JR, Goulet JL, Korthuis PT, Marshall BDL, Justice AC, Bryant K, Fiellin DA, Kraemer KL. Predictors of initiation of and retention on medications for alcohol use disorder among people living with and without HIV. Journal Of Substance Use And Addiction Treatment 2019, 109: 14-22. PMID: 31856946, PMCID: PMC6982467, DOI: 10.1016/j.jsat.2019.11.002.Peer-Reviewed Original ResearchConceptsAlcohol use disorderUse disordersHIV statusUninfected individualsVeterans Aging Cohort Study (VACS) dataEvidence-based medicationsNew alcohol use disorderPrevalence of initiationMultivariable logistic regressionPredictors of initiationFacility-level predictorsCohort study dataMedication initiationPrescription fillsMultivariable analysisBlack raceTreatment gapDecreased oddsNew diagnosisPLWHOlder ageLogistic regressionMedicationsHIVSpecific subpopulations
2018
Dual Use of Department of Veterans Affairs and Medicare Benefits on High‐Risk Opioid Prescriptions in Veterans Aged 65 Years and Older: Insights from the VA Musculoskeletal Disorders Cohort
Chui PW, Bastian LA, DeRycke E, Brandt CA, Becker WC, Goulet JL. Dual Use of Department of Veterans Affairs and Medicare Benefits on High‐Risk Opioid Prescriptions in Veterans Aged 65 Years and Older: Insights from the VA Musculoskeletal Disorders Cohort. Health Services Research 2018, 53: 5402-5418. PMID: 30298672, PMCID: PMC6235820, DOI: 10.1111/1475-6773.13060.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationOpioid prescriptionsHigh-risk opioid prescriptionsLong-term opioid therapyLong-term opioid useMultivariable logistic regressionMusculoskeletal disorder diagnosisMSD cohortOpioid therapyClinical characteristicsOpioid useVHA dataRetrospective analysisHealth AdministrationNational MedicareDisorder cohortDual useLogistic regressionDisorder diagnosisMedicareMedicare benefitsVeteransPrescriptionCohortAssociation
2017
Multiple Sources of Prescription Payment and Risky Opioid Therapy Among Veterans
Becker WC, Fenton BT, Brandt CA, Doyle EL, Francis J, Goulet JL, Moore BA, Torrise V, Kerns RD, Kreiner PW. Multiple Sources of Prescription Payment and Risky Opioid Therapy Among Veterans. Medical Care 2017, 55: s33-s36. PMID: 28410338, DOI: 10.1097/mlr.0000000000000722.Peer-Reviewed Original ResearchConceptsOpioid therapySource of paymentHigher oddsHigh-dose opioid therapyHigh-risk opioid prescribingMorphine equivalent daily dosePayment sourceOpioid analgesic prescriptionsPrescription monitoring programsEquivalent daily doseCross-sectional studyAnalgesic prescriptionOpioid prescribingBenzodiazepine therapyDaily doseUS veteransFiscal year 2014TherapyPrivate insuranceLogistic regressionRelated harmsPrescription paymentAnalytic sampleOpioidsOdds
2016
Increase in migraine diagnoses and guideline-concordant treatment in veterans, 2004–2012
Altalib H, Fenton B, Sico J, Goulet J, Bathulapalli H, Mohammad A, Kulas J, Driscoll M, Dziura J, Mattocks K, Kerns R, Brandt C, Haskell S. Increase in migraine diagnoses and guideline-concordant treatment in veterans, 2004–2012. Cephalalgia 2016, 37: 3-10. PMID: 26950804, DOI: 10.1177/0333102416631959.Peer-Reviewed Original ResearchConceptsBurden of migraineMigraine diagnosisVeterans Health Administration electronic health recordsGuideline-concordant treatmentGuideline-concordant careMigraine-specific medicationsICD-9 codesChi-square testHealth care systemNumber of veteransElectronic health recordsTriptan prescriptionMigraine preventionGuideline adherenceMigraine medicationsComorbid conditionsNational health care systemMigraine headacheMedicationsMigraineTime-series studyLogistic regressionCare systemPreventive medicineHealth administrators
2015
Food Insecurity and Health: Data from the Veterans Aging Cohort Study
Wang EA, McGinnis KA, Goulet J, Bryant K, Gibert C, Leaf DA, Mattocks K, Fiellin LE, Vogenthaler N, Justice AC, Fiellin DA. Food Insecurity and Health: Data from the Veterans Aging Cohort Study. Public Health Reports 2015, 130: 261-268. PMID: 25931630, PMCID: PMC4388224, DOI: 10.1177/003335491513000313.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyVeterans Health AdministrationAging Cohort StudyCohort studyWorse controlMedical conditionsControl of hypertensionIndependent risk factorMultivariable logistic regressionTest of trendFood insecureFood insecurityRisk factorsHealth AdministrationPast monthLogistic regressionRecent homelessnessHealth careHypertensionVeteransHIVDepressionAfrican AmericansMarijuana usePrevalence
2013
Accounting for the Hierarchical Structure in Veterans Health Administration Data: Differences in Healthcare Utilization between Men and Women Veterans.
Allore HG, Ning Y, Brandt CA, Goulet JL. Accounting for the Hierarchical Structure in Veterans Health Administration Data: Differences in Healthcare Utilization between Men and Women Veterans. International Journal Of Statistics In Medical Research 2013, 2: 94-103. PMID: 24910720, PMCID: PMC4047985, DOI: 10.6000/1929-6029.2013.02.02.03.Peer-Reviewed Original ResearchHealthcare utilizationWomen veteransUS Veterans Health Administration patientsVeterans Health Administration dataVeterans Health Administration patientsHealthcare needsUS women veteransHealth Administration dataHierarchical logistic regression modelsLogistic regression modelsHierarchical logistic regressionAssociation of genderBranch of serviceMilitary service personnelVA dataLogistic regressionCombat exposureAdministration dataMarital statusDifferent risksVeteransMenRegression modelsGenderAssociation
2005
Relative prevalence of comorbidities and treatment contraindications in HIV-mono-infected and HIV/HCV-co-infected veterans
Goulet JL, Fultz SL, McGinnis KA, Justice AC. Relative prevalence of comorbidities and treatment contraindications in HIV-mono-infected and HIV/HCV-co-infected veterans. AIDS 2005, 19: s99-s105. PMID: 16251836, DOI: 10.1097/01.aids.0000192077.11067.e5.Peer-Reviewed Original ResearchConceptsHIV/HCV-coHepatitis C virusAlcohol-related complicationsComorbid conditionsHCV-coTreatment optionsHIV monoChart extractionDiagnostic codesMental disordersCo-infected patientsElectronic medical record systemTreatment contraindicationsMedical record systemC virusHigh prevalenceMedical disordersHIVDemographic dataComorbiditiesLogistic regressionPrevalenceModerate agreementRelative prevalenceVeterans