2024
Self-injurious unnatural death among Veterans with HIV
Smith A, Goulet J, Vlahov D, Justice A, Womack J. Self-injurious unnatural death among Veterans with HIV. AIDS 2024, 38: 1570-1578. PMID: 38814683, DOI: 10.1097/qad.0000000000003940.Peer-Reviewed Original ResearchVeterans Aging Cohort StudyNested case-control studyModifiable risk factorsRisk of suicideCase-control studyRisk factorsIdentification of modifiable risk factorsCategorization of deathsIncidence density samplingAging Cohort StudyCohort of veteransIncreased risk of suicideConditional logistic regressionHigher pain levelsUse disorderPublic health burdenDrug use disordersUnnatural deathsDeath codesUnintentional causesInternational ClassificationHIV statusExcess deathsPrevention effortsAlcohol use disorder
2023
Implementer report: ICD-10 code F44.5 review for functional seizure disorder
Ali S, Bornovski Y, Gopaul M, Galluzzo D, Goulet J, Argraves S, Jackson-Shaheed E, Cheung K, Brandt C, Altalib H. Implementer report: ICD-10 code F44.5 review for functional seizure disorder. BMJ Health & Care Informatics Online 2023, 30: e100746. PMID: 37730251, PMCID: PMC10514602, DOI: 10.1136/bmjhci-2023-100746.Peer-Reviewed Original ResearchConceptsPositive predictive valueSeizure disorderICD-10Single ICD codeEHR problem listElectronic health recordsChart reviewDiagnostic codesInternational ClassificationDiagnostic codingPredictive valueICD codesProblem listDiagnostic precisionHealth recordsDisordersNatural language processing algorithmEHR systemsLanguage processing algorithmReviewCliniciansDisease
2022
The prevalence of mental health disorders in people with HIV and the effects on the HIV care continuum
Lang R, Hogan B, Zhu J, McArthur K, Lee J, Zandi P, Nestadt P, Silverberg M, Parcesepe A, Cook J, Gill M, Grelotti D, Closson K, Lima V, Goulet J, Horberg M, Gebo K, Camoens R, Rebeiro P, Nijhawan A, McGinnis K, Eron J, Althoff K. The prevalence of mental health disorders in people with HIV and the effects on the HIV care continuum. AIDS 2022, 37: 259-269. PMID: 36541638, PMCID: PMC9782734, DOI: 10.1097/qad.0000000000003420.Peer-Reviewed Original ResearchConceptsMental health disordersMore mental health disordersAdjusted prevalence ratiosViral suppressionBipolar disorderHealth disordersNorth American AIDS Cohort CollaborationPrevalence of MHDsHIV care continuum outcomesAnxiety disordersCare continuum outcomesMental health multimorbidityHIV care continuumPrevalence of depressiveCohort CollaborationContinuum outcomesPrevalence ratiosDepressive disorderCare continuumObservational studyLow prevalenceInternational ClassificationMultimorbidityPWHPrevalence
2021
ICD-10 Coding of Musculoskeletal Conditions in the Veterans Health Administration
Coleman BC, Goulet JL, Higgins DM, Bathulapalli H, Kawecki T, Ruser CB, Bastian LA, Martino S, Piette JD, Edmond SN, Heapy AA. ICD-10 Coding of Musculoskeletal Conditions in the Veterans Health Administration. Pain Medicine 2021, 22: 2597-2603. PMID: 33944953, PMCID: PMC8783617, DOI: 10.1093/pm/pnab161.Peer-Reviewed Original ResearchConceptsSpecialty care settingsVeterans Health AdministrationCare settingsDiagnosis codesMusculoskeletal diagnosesMusculoskeletal conditionsHealth AdministrationVeterans Health Administration (VHA) careLow back painLongitudinal cohort studyICD-10 codingVisit diagnosesCohort studyDiagnosis cohortBack painCommon diagnosisUnique patientsNumber of visitsInternational ClassificationMusculoskeletal carePotential diagnosisSecondary analysisPatientsDiagnosisMusculoskeletal system
2017
Incident Cardiovascular Risk Factors Among Men and Women Veterans After Return From Deployment
Haskell SG, Brandt C, Burg M, Bastian L, Driscoll M, Goulet J, Mattocks K, Dziura J. Incident Cardiovascular Risk Factors Among Men and Women Veterans After Return From Deployment. Medical Care 2017, 55: 948-955. PMID: 28984707, DOI: 10.1097/mlr.0000000000000801.Peer-Reviewed Original ResearchConceptsCardiovascular risk factorsCV risk factorsRisk factorsImpact of sexWomen veteransClinical Modification diagnostic codesIncident cardiovascular risk factorsPrimary care visitsCoronary artery diseaseElectronic health record dataRisk of obesityVeterans Health AdministrationIncident risk factorsHealth record dataMental health conditionsBlack womenNew International ClassificationCare visitsCohort studyArtery diseaseFemale sexDiagnostic codesIncidence rateProtective effectInternational ClassificationTrends in diagnosis of painful neck and back conditions, 2002 to 2011
Sinnott PL, Dally SK, Trafton J, Goulet JL, Wagner TH. Trends in diagnosis of painful neck and back conditions, 2002 to 2011. Medicine 2017, 96: e6691. PMID: 28514286, PMCID: PMC5440123, DOI: 10.1097/md.0000000000006691.Peer-Reviewed Original ResearchConceptsBack painPain problemsPainful neckLarge national healthcare systemRetrospective observational cohort studyEffective care systemNeck pain conditionsObservational cohort studyPrevalence of diagnosesBack conditionsBack pain problemsDiagnosis of neckCohort studyPain conditionsCalendar year 2002Incident casesRevision codesNational cohortNational healthcare systemIncidence ratePrevalent casesPrevalence ratesInternational ClassificationPainAverage duration
2016
Pain research using Veterans Health Administration electronic and administrative data sources
Abel EA, Brandt CA, Czlapinski R, Goulet JL. Pain research using Veterans Health Administration electronic and administrative data sources. The Journal Of Rehabilitation Research And Development 2016, 53: 1-12. PMID: 27005814, DOI: 10.1682/jrrd.2014.10.0246.Peer-Reviewed Original ResearchConceptsPain researchPharmacy dataOutcomes of painVeterans Health AdministrationElectronic health record data sourcesHealth services researchersEHR data sourcesAcute painNRS scoresRevision codesVHA careInternational ClassificationAdministrative data sourcesScale scoreHealth AdministrationPain researchersPainEHR dataAnonymous surveyServices researchersPeer-reviewed articlesScoresCurrent practiceChronicPrevalence
2010
The need for validation of large administrative databases: Veterans Health Administration ICD-9CM coding of exudative age-related macular degeneration and ranibizumab usage
Latkany P, Duggal M, Goulet J, Paek H, Rambo M, Palmisano P, Levin W, Erdos J, Justice A, Brandt C. The need for validation of large administrative databases: Veterans Health Administration ICD-9CM coding of exudative age-related macular degeneration and ranibizumab usage. Journal Of Ocular Biology, Diseases, And Informatics 2010, 3: 30-34. PMID: 21139706, PMCID: PMC2956455, DOI: 10.1007/s12177-010-9052-4.Peer-Reviewed Original ResearchExudative age-related macular degenerationAge-related macular degenerationExcellent positive predictive valuePositive predictive valuePredictive valueMacular degenerationLarge electronic medical record systemsClinical Modification codingLarge administrative databaseNegative predictive valueElectronic medical record systemVA ConnecticutMedical record systemChart reviewNinth RevisionOphthalmology clinicAdministrative databasesClinical informationInternational ClassificationDistinct patientsTherapy policyRanibizumabPatientsRecord systemDegeneration
2007
Do Patterns of Comorbidity Vary by HIV Status, Age, and HIV Severity?
Goulet JL, Fultz SL, Rimland D, Butt A, Gibert C, Rodriguez-Barradas M, Bryant K, Justice AC. Do Patterns of Comorbidity Vary by HIV Status, Age, and HIV Severity? Clinical Infectious Diseases 2007, 45: 1593-1601. PMID: 18190322, PMCID: PMC3687553, DOI: 10.1086/523577.Peer-Reviewed Original ResearchConceptsHuman immunodeficiency virusCD4 cell countPatterns of comorbidityHIV infectionHIV statusCell countHIV severityOlder human immunodeficiency virusPrimary care guidelinesClinical Modification codesCells/Pulmonary diseaseComorbid conditionsMultivariable analysisViral loadCare guidelinesImmunodeficiency virusComorbiditiesInternational ClassificationMultimorbidityInfectionPresence of conditionsVeteransAgeDisease