2024
Machine Learning-Based Prediction of Death and Hospitalization in Patients With Implantable Cardioverter Defibrillators
Rosman L, Lampert R, Wang K, Gehi A, Dziura J, Salmoirago-Blotcher E, Brandt C, Sears S, Burg M. Machine Learning-Based Prediction of Death and Hospitalization in Patients With Implantable Cardioverter Defibrillators. Journal Of The American College Of Cardiology 2024 PMID: 39570241, DOI: 10.1016/j.jacc.2024.09.006.Peer-Reviewed Original ResearchImplantable cardioverter-defibrillatorYear of device implantationAll-cause mortalityCardiac resynchronization therapyDeath/HF hospitalizationValidation cohortHeart failureDevice implantationTime of ICD implantationArea under the receiver-operating characteristic curveMedian follow-upReceiver-operating characteristic curvePredicting all-cause mortalityImplantable cardioverter-defibrillator patientsVeterans Health AdministrationPersonalized risk estimatesImplantable cardioverter defibrillatorResynchronization therapyBaseline demographicsICD implantationTraining cohortTrajectories of individual patientsProspective studyComposite outcomeContinuum of riskImplementation and Impact of Intimate Partner Violence Screening Expansion in the Veterans Health Administration: Protocol for a Mixed Methods Evaluation
Portnoy G, Relyea M, Dichter M, Iverson K, Presseau C, Brandt C, Skanderson M, Bruce L, Martino S. Implementation and Impact of Intimate Partner Violence Screening Expansion in the Veterans Health Administration: Protocol for a Mixed Methods Evaluation. JMIR Research Protocols 2024, 13: e59918. PMID: 39194059, PMCID: PMC11391160, DOI: 10.2196/59918.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationImpact of screeningINTERNATIONAL REGISTERED REPORT IDENTIFIERHealth care systemIntimate partner violenceIPV screeningQualitative interviewsCare systemHealth AdministrationConsolidated Framework for Implementation ResearchVeterans Health Administration facilitiesElectronic health record dataIntimate partner violence screeningMixed methods evaluationHealth record dataNational health care systemLongitudinal observational designPotential implementation barriersSignificant public health problemMen's health careClinical practice implicationsPatient populationMethod evaluationRE-AIMPublic health problemElectronic Health Record Concordance with Survey-Reported Military Sexual Trauma Among Younger Veterans: Associations with Health Care Utilization and Mental Health Diagnoses
Gaffey A, Burg M, Skanderson M, Deviva J, Brandt C, Bastian L, Haskell S. Electronic Health Record Concordance with Survey-Reported Military Sexual Trauma Among Younger Veterans: Associations with Health Care Utilization and Mental Health Diagnoses. Journal Of Women's Health 2024 PMID: 38946553, DOI: 10.1089/jwh.2023.0993.Peer-Reviewed Original ResearchElectronic health recordsHealth care utilizationAssociated with health care utilizationMilitary sexual traumaVeterans Health AdministrationCare utilizationPosttraumatic stress disorderVeteran health care utilizationMental health visitsPrimary care utilizationMental health diagnosesCross-sectional associationsService-related characteristicsPost-9/11 veteransSexual traumaLikelihood of posttraumatic stress disorderEHR screensPrimary careVHA careHealth visitsOlder veteransHealth recordsYounger veteransDepression diagnosisExperience MSTLeveraging Electronic Health Records to Assess Residential Mobility Among Veterans in the Veterans Health Administration
Wang K, Hendrickson Z, Miller M, Abel E, Skanderson M, Erdos J, Womack J, Brandt C, Desai M, Han L. Leveraging Electronic Health Records to Assess Residential Mobility Among Veterans in the Veterans Health Administration. Medical Care 2024, 62: 458-463. PMID: 38848139, DOI: 10.1097/mlr.0000000000002017.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationElectronic health recordsResidential addressesHealth recordsHealth AdministrationLeveraging electronic health recordsInfluence health care utilizationVeterans Health Administration dataAssociations of sociodemographicsHealth care utilizationHealth care systemPatient's residential addressCross-sectional analysisGeneralized logistic regressionCare utilizationHealth systemResidential mobilitySubstance use disordersCare systemPatient's residenceLogistic regressionVeteransMultinomial outcomesHealthOddsBlood type as a risk factor for pancreatic ductal adenocarcinoma.
Rahimi Larki N, Skanderson M, Tate J, Levinson R, Hauser R, Brandt C, Yang Y, Justice A, Wang L. Blood type as a risk factor for pancreatic ductal adenocarcinoma. Journal Of Clinical Oncology 2024, 42: 10559-10559. DOI: 10.1200/jco.2024.42.16_suppl.10559.Peer-Reviewed Original ResearchPancreatic ductal adenocarcinoma riskVeterans Health AdministrationRisk of pancreatic ductal adenocarcinomaNon-O blood typeNeighborhood-level socioeconomic dataIntegrated healthcare systemHigh risk of pancreatic ductal adenocarcinomaPancreatic ductal adenocarcinomaAssociated with higher riskAssociated with increased riskUnited StatesHealth AdministrationOutpatient encountersHealthcare systemBaseline ageAlcohol useIndex dateAssociation of blood typeCancer deathWhite populationSocioeconomic dataBlack patientsDiverse populationsRisk factorsBlood typeEstimating risk for pancreatic cancer among 9.4 million veterans in care.
Wang L, Rahimi Larki N, Skanderson M, Tate J, Hauser R, Brandt C, Yang Y, Justice A. Estimating risk for pancreatic cancer among 9.4 million veterans in care. Journal Of Clinical Oncology 2024, 42: 10544-10544. DOI: 10.1200/jco.2024.42.16_suppl.10544.Peer-Reviewed Original ResearchVeterans Health AdministrationGeneral populationAlcohol useIntegrated health systemElectronic health recordsTen-year riskHistory of cancerLoss to follow-upFollow-upEvaluated model discriminationMedian baseline ageCox proportional hazards modelsRisk prediction modelHealth recordsProportional hazards modelHealth systemHealth AdministrationMultivariate Cox proportional hazards modelSmoking statusCharlson Comorbidity IndexBaseline ageClinical reasoningRange of risksHazards modelFinal predictorsDevelopment and Validation of Case-Finding Algorithms to Identify Pancreatic Cancer in the Veterans Health Administration
Mezzacappa C, Larki N, Skanderson M, Park L, Brandt C, Hauser R, Justice A, Yang Y, Wang L. Development and Validation of Case-Finding Algorithms to Identify Pancreatic Cancer in the Veterans Health Administration. Digestive Diseases And Sciences 2024, 69: 1507-1513. PMID: 38453743, DOI: 10.1007/s10620-024-08324-w.Peer-Reviewed Original ResearchElectronic health recordsVeterans Health AdministrationHealth AdministrationElectronic health records data elementsElectronic health record dataDiagnosis of exocrine pancreatic cancerNational Cancer RegistryCancer RegistryHealth recordsExocrine pancreatic cancerOncology settingOutpatient encountersInpatient encountersData elementsExpert adjudicationPancreatic ductal adenocarcinomaEpidemiological studiesRandom sampleInterquartile rangeIdentification of patientsRange of patientsPancreatic cancerVeteransLate diagnosisExcellent PPV
2023
Opioid prescription and risk of atrial fibrillation in younger veterans
Chui P, Khokhar A, Gordon K, Dziura J, Burg M, Brandt C, Haskell S, Malm B, Bastian L, Gandhi P. Opioid prescription and risk of atrial fibrillation in younger veterans. American Heart Journal 2023, 268: 61-67. PMID: 37949420, DOI: 10.1016/j.ahj.2023.11.001.Peer-Reviewed Original ResearchTime-updated Cox regressionIncident atrial fibrillationAtrial fibrillationOpioid exposureVeterans Health AdministrationOpioid typeCox regressionOpioid prescriptionsICD-9-CM diagnostic codesIncidence of AFDevelopment of AFPrescription opioid exposureModifiable risk factorsPrimary care visitsPrescribed opioidsCare visitsOpioid useRisk factorsDiagnostic codesTime-dependent variablesOpioidsHealth AdministrationYounger veteransBaseline periodStudy sampleRelationship Between Pain and LGBT Status Among Veterans in Care in a Retrospective Cross-Sectional Cohort
Gordon K, Buta E, Pratt-Chapman M, Brandt C, Gueorguieva R, Warren A, Workman T, Zeng-Treitler Q, Goulet J. Relationship Between Pain and LGBT Status Among Veterans in Care in a Retrospective Cross-Sectional Cohort. Journal Of Pain Research 2023, 16: 4037-4047. PMID: 38054108, PMCID: PMC10695019, DOI: 10.2147/jpr.s432967.Peer-Reviewed Original ResearchRetrospective cross-sectional cohortCross-sectional cohortPersistent painSelf-reported pain scoresVeterans Health AdministrationRobust Poisson modelsCorporate Data WarehouseLGBT veteransPain screeningPain scoresClinic visitsPain assessmentPainAdjusted modelHealth AdministrationGreater painMental healthSubstance useCohortYear of entryBlack veteransHealthcare systemVeteransSignificant differencesAdministrative dataScreening for Intimate Partner Violence Experience and Use in the Veterans Health Administration
Portnoy G, Relyea M, Presseau C, Orazietti S, Bruce L, Brandt C, Martino S. Screening for Intimate Partner Violence Experience and Use in the Veterans Health Administration. JAMA Network Open 2023, 6: e2337685. PMID: 37831451, PMCID: PMC10576210, DOI: 10.1001/jamanetworkopen.2023.37685.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationCross-sectional studyStress disorder diagnosisPosttraumatic stress disorder (PTSD) diagnosisMental health servicesIPV useIntimate partner violenceHealth AdministrationVeterans Health Administration medical centersHealth servicesMental health care visitsClinical diagnosisMajor public health problemDisorder diagnosisElectronic medical record dataHealth care visitsIPV experiencesMedical record dataPublic health problemMental health cliniciansMental health careQuality improvement initiativesHealth care settingsOutcomes of interestPast-year prevalenceUnderstanding Veterans' intimate partner violence use and patterns of healthcare utilization
Relyea M, Presseau C, Runels T, Humbert M, Martino S, Brandt C, Haskell S, Portnoy G. Understanding Veterans' intimate partner violence use and patterns of healthcare utilization. Health Services Research 2023, 58: 1198-1208. PMID: 37452496, PMCID: PMC10622301, DOI: 10.1111/1475-6773.14201.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationHealthcare utilizationIPV useChronic painMedical treatmentSevere chronic painNon-VA providersChronic sleep problemsNon-VA servicesPost-traumatic stress disorderChi-square testRisk factorsOperation New Dawn veteransProvider trainingSleep problemsVA healthcareNew Dawn veteransOperation Enduring FreedomDATA SOURCESWomen veteransOutpatient healthcareHealth AdministrationOperation Iraqi FreedomClinical settingStudy settingExtracting Pain Care Quality Indicators from U.S. Veterans Health Administration Chiropractic Care Using Natural Language Processing
Coleman B, Finch D, Wang R, Luther S, Heapy A, Brandt C, Lisi A. Extracting Pain Care Quality Indicators from U.S. Veterans Health Administration Chiropractic Care Using Natural Language Processing. Applied Clinical Informatics 2023, 14: 600-608. PMID: 37164327, PMCID: PMC10411229, DOI: 10.1055/a-2091-1162.Peer-Reviewed Original ResearchConceptsCare quality indicatorsVeterans Health AdministrationVisit typePain assessmentChiropractic careConsultation visitCare qualityClinic visit typePain care qualityComprehensive pain assessmentWomen Veterans Cohort StudyCare visitsCohort studyMusculoskeletal painManagement visitsVisit notesHealth AdministrationConsultation notesChiropractic servicesVisitsQuality indicatorsMean numberTreatment planningPatientsDescriptive statisticsUnderstanding headache classification coding within the veterans health administration using ICD-9-CM and ICD-10-CM in fiscal years 2014–2017
Fodeh S, Fenton B, Wang R, Skanderson M, Altalib H, Kuruvilla D, Schindler E, Haskell S, Brandt C, Sico J. Understanding headache classification coding within the veterans health administration using ICD-9-CM and ICD-10-CM in fiscal years 2014–2017. PLOS ONE 2023, 18: e0279163. PMID: 36598881, PMCID: PMC9812322, DOI: 10.1371/journal.pone.0279163.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationHeadache diagnosisICD-10-CMICD-10-CM diagnosisICD-10-CM codingSpecialty care clinicsSpecific headache diagnosesICD-9-CM codingDifferent headache typesICD-9-CMRace/ethnicityHeadache comorbidityHeadache NOSPatient ageCare clinicsChronic conditionsHeadache typesProvider typeSociodemographic factorsHealth AdministrationDiagnosisTwo yearsHeadachePatientsMigraine
2022
The Complexity of Sex-Based Cancer Screenings for Veterans with Gender-Related Diagnoses in VA Care
Warren A, Brandt C, Bastian L, Zeng Q, Black A, Goulet J. The Complexity of Sex-Based Cancer Screenings for Veterans with Gender-Related Diagnoses in VA Care. Annals Of LGBTQ Public And Population Health 2022, 3: 135-141. DOI: 10.1891/lgbtq-2021-0010.Peer-Reviewed Original ResearchElectronic health recordsVeterans Health AdministrationNational electronic health recordCervical cancerCancer screeningVA careProstate cancer screeningPSA testingDiagnostic codesVA facilitiesMale veteransHealth AdministrationSex-specific careFemale veteransCancer screenDiagnosisCareHealth recordsVeteransSexCancerOriginal sex