2025
Validity of Diagnostic Codes and Laboratory Tests to Identify Cholangiocarcinoma and Its Subtypes
Ferrante N, Hubbard R, Weinfurtner K, Mezina A, Newcomb C, Furth E, Bhattacharya D, Njei B, Taddei T, Singal A, Hoteit M, Park L, Kaplan D, Re V. Validity of Diagnostic Codes and Laboratory Tests to Identify Cholangiocarcinoma and Its Subtypes. Pharmacoepidemiology And Drug Safety 2025, 34: e70154. PMID: 40328444, PMCID: PMC12055315, DOI: 10.1002/pds.70154.Peer-Reviewed Original ResearchConceptsPositive predictive valueVeterans Health AdministrationExtrahepatic cholangiocarcinomaValidity of diagnostic codesInternational Classification of Diseases for OncologyUS Veterans Health AdministrationConfidence intervalsPharmacoepidemiological studiesICD-O-3Days of diagnosisVA dataHealth AdministrationIntrahepatic cholangiocarcinomaDiagnostic codesHistology codesCholangiocarcinomaUnique patientsInclusion criteriaCholangiocarcinoma subtypesTopography codesPredictive valuePatientsEvaluate medicationsSubtypesEvaluate determinants
2024
Disparities in Receipt of Medications for Opioid Use Disorder Before and During the COVID-19 Pandemic in the US Veterans Health Administration
Sung M, León C, Reisman J, Gordon K, Kerns R, Li W, Liu W, Mitra A, Yu H, Becker W. Disparities in Receipt of Medications for Opioid Use Disorder Before and During the COVID-19 Pandemic in the US Veterans Health Administration. Substance Use & Addiction Journal 2024, 46: 369-376. PMID: 39569566, DOI: 10.1177/29767342241293334.Peer-Reviewed Original ResearchMOUD receiptElixhauser Comorbidity IndexOpioid use disorderSocial determinants of healthVeterans Health Administration electronic health record dataElectronic health record dataUS Veterans Health AdministrationDeterminants of healthVeterans Health AdministrationHealth record dataProportion of veteransReceipt of medicationsSubstance useComorbidity indexTargeted outreach effortsUse disorderCOVID-19 pandemicProportion of patientsSocial determinantsReceipt of MOUDHealth AdministrationRecord dataEffect sizeMOUD engagementCalculated proportionsAdaption and National Validation of a Tool for Predicting Mortality from Other Causes Among Men with Nonmetastatic Prostate Cancer
Justice A, Tate J, Howland F, Gaziano J, Kelley M, McMahon B, Haiman C, Wadia R, Madduri R, Danciu I, Leppert J, Leapman M, Thurtle D, Gnanapragasam V. Adaption and National Validation of a Tool for Predicting Mortality from Other Causes Among Men with Nonmetastatic Prostate Cancer. European Urology Oncology 2024, 7: 923-932. PMID: 38171965, DOI: 10.1016/j.euo.2023.11.023.Peer-Reviewed Original ResearchVeterans Health AdministrationCharlson Comorbidity IndexNon-prostate cancer mortalityProstate cancer mortalityNonmetastatic prostate cancerComorbidity indexCancer mortalityProvider estimationProstate cancerHealth AdministrationUS Veterans Health AdministrationElectronic health record-based toolsYear of diagnosisRisk of deathObservational cohortMedian ageNonmetastatic cancerPredicting MortalityC-statisticHispanic ethnicityTreatment groupsMortalityCancerNational validationAge
2023
Chronic pain, cannabis legalisation, and cannabis use disorder among patients in the US Veterans Health Administration system, 2005 to 2019: a repeated, cross-sectional study
Hasin D, Wall M, Alschuler D, Mannes Z, Malte C, Olfson M, Keyes K, Gradus J, Cerdá M, Maynard C, Keyhani S, Martins S, Fink D, Livne O, McDowell Y, Sherman S, Saxon A. Chronic pain, cannabis legalisation, and cannabis use disorder among patients in the US Veterans Health Administration system, 2005 to 2019: a repeated, cross-sectional study. The Lancet Psychiatry 2023, 10: 877-886. PMID: 37837985, PMCID: PMC10627060, DOI: 10.1016/s2215-0366(23)00268-7.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationMedical cannabis lawsRecreational cannabis lawsCannabis use disorder prevalenceDisorder prevalenceChronic painCannabis use disorderVA Centers of ExcellenceUse disorderUS Veterans Health AdministrationVeterans Health Administration systemPresence of chronic painMental health visitsElectronic health record datasetAbsolute increaseHealth Administration systemDifference-in-differences analysisCross-sectional studyPainful medical conditionsPalliative careBinomial regression modelsPrimary careRisk of cannabis use disorderOlder age groupsHealth visitsIntentional Self-Harm Among US Veterans With Traumatic Brain Injury or Posttraumatic Stress Disorder: Retrospective Cohort Study From 2008 to 2017
Rawat B, Reisman J, Pogoda T, Liu W, Rongali S, Aseltine R, Chen K, Tsai J, Berlowitz D, Yu H, Carlson K. Intentional Self-Harm Among US Veterans With Traumatic Brain Injury or Posttraumatic Stress Disorder: Retrospective Cohort Study From 2008 to 2017. JMIR Public Health And Surveillance 2023, 9: e42803. PMID: 37486751, PMCID: PMC10407646, DOI: 10.2196/42803.Peer-Reviewed Original ResearchConceptsTraumatic brain injurySelf-harm diagnosisVeterans Health AdministrationPrior traumatic brain injuryPosttraumatic stress disorderVHA health careIndex dateVHA utilizationHealth care encountersPTSD diagnosisUS veteransBrain injuryPrevalence of TBICharlson Comorbidity Index scoreUS Veterans Health AdministrationStress disorderComorbidity Index scoreRetrospective cohort studyAdjusted odds ratioHealth careSuicide prevention effortsVHA visitCohort studyPotential confoundersInjury codesPerformance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV
Torgersen J, Akers S, Huo Y, Terry J, Carr J, Ruutiainen A, Skanderson M, Levin W, Lim J, Taddei T, So‐Armah K, Bhattacharya D, Rentsch C, Shen L, Carr R, Shinohara R, McClain M, Freiberg M, Justice A, Re V. Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV. Pharmacoepidemiology And Drug Safety 2023, 32: 1121-1130. PMID: 37276449, PMCID: PMC10527049, DOI: 10.1002/pds.5648.Peer-Reviewed Original ResearchConceptsSevere hepatic steatosisHepatic steatosisHIV statusLiver attenuationHounsfield unitsPredictive valueRadiologist assessmentUS Veterans Health AdministrationNoncontrast abdominal CTVeterans Health AdministrationCross-sectional studySample of patientsNegative predictive valueReal-world studyPositive predictive valueAbdominal CTLiver fatTomography scanSteatosisCT imagesHealth AdministrationPharmacoepidemiologic studiesRadiologist reviewHIVPercent agreementState Cannabis Legalization and Cannabis Use Disorder in the US Veterans Health Administration, 2005 to 2019
Hasin D, Wall M, Choi C, Alschuler D, Malte C, Olfson M, Keyes K, Gradus J, Cerdá M, Maynard C, Keyhani S, Martins S, Fink D, Livne O, Mannes Z, Sherman S, Saxon A. State Cannabis Legalization and Cannabis Use Disorder in the US Veterans Health Administration, 2005 to 2019. JAMA Psychiatry 2023, 80: 380-388. PMID: 36857036, PMCID: PMC9979011, DOI: 10.1001/jamapsychiatry.2023.0019.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationMedical cannabis lawsRecreational cannabis lawsHealth AdministrationVeterans Health Administration primary careUS Veterans Health AdministrationMental health visitsElectronic health recordsInternational Classification of DiseasesCannabis use disorderCannabis use disorder diagnosesAbsolute increaseAge groupsGeneral population studiesMedian household incomeDifference-in-differences analysisClassification of DiseasesCannabis lawsCannabis use disorder prevalenceUse disorderHospice/palliative careBinomial regression modelsPrimary careHealth visitsPatient age groupsAssociations Between Natural Language Processing–Enriched Social Determinants of Health and Suicide Death Among US Veterans
Mitra A, Pradhan R, Melamed R, Chen K, Hoaglin D, Tucker K, Reisman J, Yang Z, Liu W, Tsai J, Yu H. Associations Between Natural Language Processing–Enriched Social Determinants of Health and Suicide Death Among US Veterans. JAMA Network Open 2023, 6: e233079. PMID: 36920391, PMCID: PMC10018322, DOI: 10.1001/jamanetworkopen.2023.3079.Peer-Reviewed Original ResearchConceptsAdjusted odds ratioRisk of suicideSocial determinantsUS Veterans Health AdministrationSuicide deathsCohort entry dateStudy end dateNational Death IndexVeterans Health AdministrationCase-control studyConditional logistic regressionElectronic health record notesUnstructured clinical notesCohort entryDeath IndexMean ageUS veteransOdds ratioSDOHsVeteran deathsMAIN OUTCOMEHealth StudySDOHLarge effect sizesHealth Administration
2022
Characteristics of Chiropractic Patients in the Veterans Health Administration During the COVID-19 Pandemic: A Cross-Sectional Analysis
Roytman G, Cheung K, Bathulapalli H, Goertz C, Long C, Lisi A. Characteristics of Chiropractic Patients in the Veterans Health Administration During the COVID-19 Pandemic: A Cross-Sectional Analysis. Journal Of Manipulative And Physiological Therapeutics 2022, 45: 615-622. PMID: 37294219, PMCID: PMC10254439, DOI: 10.1016/j.jmpt.2023.04.002.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationCharlson Comorbidity IndexTelehealth visitsCross-sectional analysisComorbidity indexPatient characteristicsChiropractic careHealth AdministrationUS Veterans Health AdministrationRetrospective cross-sectional analysisCOVID-19 pandemicMarital statusNon-white raceYears of ageChiropractic patientsVHA patientsUnique patientsMusculoskeletal complaintsMusculoskeletal conditionsVisit typeMultinomial logistic regressionPatientsLatino ethnicityLogistic regressionVisitsDevelopment of a model to predict antidepressant treatment response for depression among Veterans
Puac-Polanco V, Ziobrowski H, Ross E, Liu H, Turner B, Cui R, Leung L, Bossarte R, Bryant C, Joormann J, Nierenberg A, Oslin D, Pigeon W, Post E, Zainal N, Zaslavsky A, Zubizarreta J, Luedtke A, Kennedy C, Cipriani A, Furukawa T, Kessler R. Development of a model to predict antidepressant treatment response for depression among Veterans. Psychological Medicine 2022, 53: 5001-5011. PMID: 37650342, PMCID: PMC10519376, DOI: 10.1017/s0033291722001982.Peer-Reviewed Original ResearchConceptsMajor depressive disorderVeterans Health AdministrationTreatment responseAntidepressant medicationADM treatmentDepression Symptomatology-Self ReportUS Veterans Health AdministrationBaseline self-reported dataAntidepressant treatment responseSheehan Disability ScaleBaseline symptom severityBeginning of treatmentVHA patientsQuick InventoryDisability ScaleDepressive disorderTreatment characteristicsSelf-report assessmentsTreatment selectionAlternative treatmentHealth AdministrationPatientsSymptom severityROC curveSelf-reported data
2020
Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index
King JT, Yoon JS, Rentsch CT, Tate JP, Park LS, Kidwai-Khan F, Skanderson M, Hauser RG, Jacobson DA, Erdos J, Cho K, Ramoni R, Gagnon DR, Justice AC. Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index. PLOS ONE 2020, 15: e0241825. PMID: 33175863, PMCID: PMC7657526, DOI: 10.1371/journal.pone.0241825.Peer-Reviewed Original ResearchConceptsCharlson Comorbidity IndexVeterans Health AdministrationVACO IndexValidation cohortMedical administrative dataDevelopment cohortSARS-CoV-2 testing resultsMortality indexICD-10 diagnosis codesUS Veterans Health AdministrationSARS-CoV-2 infectionPre-existing medical conditionsCOVID-19 mortality riskPeripheral vascular diseaseCOVID-19 patientsCOVID-19 infectionCOVID-19 mortalitySARS-CoV-2Administrative dataLogistic regression modelsRace/ethnicityCohort subgroupsComorbidity indexOverall mortalityComorbid conditions
2019
Modelling care quality for patients after a transient ischaemic attack within the US Veterans Health Administration
Arling G, Sico JJ, Reeves MJ, Myers L, Baye F, Bravata DM. Modelling care quality for patients after a transient ischaemic attack within the US Veterans Health Administration. BMJ Open Quality 2019, 8: e000641. PMID: 31909209, PMCID: PMC6937041, DOI: 10.1136/bmjoq-2019-000641.Peer-Reviewed Original ResearchMeSH KeywordsAdministrative Claims, HealthcareAdultAgedAged, 80 and overEmergency Service, HospitalFemaleHumansIschemic Attack, TransientMaleMiddle AgedNeurologyPatient AdmissionQuality of Health CareReferral and ConsultationRetrospective StudiesStrokeTime FactorsUnited StatesUnited States Department of Veterans AffairsVeteransConceptsTransient ischemic attackCharlson Comorbidity IndexVeterans Health AdministrationHigher Charlson comorbidity indexUS Veterans Health AdministrationInpatient admissionsNeurological consultationNeurology consultationEmergency departmentIschemic attackPreventive careHealth AdministrationCare qualitySpeech deficitsHigher CCI scoresModerate potency statinRecurrent vascular eventsStroke center designationHistory of dementiaPreventive care qualityAntithrombotic medicationComorbidity indexCCI scoreED visitsRetrospective cohort
2016
Initiation of pharmacotherapy for post-traumatic stress disorder among veterans from Iraq and Afghanistan: a dimensional, symptom cluster approach
Harpaz-Rotem I, Rosenheck R, Mohamed S, Pietrzak R, Hoff R. Initiation of pharmacotherapy for post-traumatic stress disorder among veterans from Iraq and Afghanistan: a dimensional, symptom cluster approach. BJPsych Open 2016, 2: 286-293. PMID: 27703791, PMCID: PMC5016711, DOI: 10.1192/bjpo.bp.115.002451.Peer-Reviewed Original ResearchPost-traumatic stress disorderAnxiolytics/sedatives/hypnoticsPTSD diagnosisUS Veterans Health AdministrationPhenotypic presentationInitiation of pharmacotherapyPrescription of antidepressantsSedative/hypnoticsVeterans Health AdministrationHeterogeneous phenotypic presentationsMilitary-related post-traumatic stress disorderHypnotic prescriptionsMedication classesPrescribing patternsFirst prescriptionMultivariable analysisPharmacological treatmentClinical guidelinesInitial episodeUS veteransPTSD symptom clustersRe-experiencing symptomsSleep difficultiesHealth AdministrationSymptom clusters
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