2024
Impact of Complementary Health Approaches on Opioid Prescriptions Among Veterans with Musculoskeletal Disorders—A Retrospective Cohort Study
Han L, Goulet J, Skanderson M, Redd D, Brandt C, Zeng-Treitler Q. Impact of Complementary Health Approaches on Opioid Prescriptions Among Veterans with Musculoskeletal Disorders—A Retrospective Cohort Study. Journal Of Pain 2024, 104695. PMID: 39384145, DOI: 10.1016/j.jpain.2024.104695.Peer-Reviewed Original ResearchIntegrative health approachesHealth approachOpioid prescriptionsMusculoskeletal disordersAdministration electronic health recordComplementary health approachesPrimary care visitsElectronic health recordsPharmacy dispensing recordsCIH approachesCare visitsDispensed opioid prescriptionsHealth recordsRetrospective cohort studyDispensing recordsPatient's painAnalytic sampleIndex diagnosisExposure groupCohort studyVeteransOpioid initiationQuasi-experimental investigationCIHPrescriptionOpen Burn Pit Exposure in Headache Disorder and Migraine
Sico J, Anthony S, Phadke M, Wang K, Skanderson M, Ney J, Seng E, Shapiro R, Sandbrink F, Scholten J, Graham G, Martini S, Fenton B. Open Burn Pit Exposure in Headache Disorder and Migraine. JAMA Network Open 2024, 7: e2431522. PMID: 39230902, PMCID: PMC11375476, DOI: 10.1001/jamanetworkopen.2024.31522.Peer-Reviewed Original ResearchConceptsBurn pit exposureVeterans Health Administration electronic health recordPit exposureHeadache disordersAdministration electronic health recordAnalytic sampleVeterans Health Administration facilitiesBurn pitsCohort studyVeterans Health AdministrationElectronic health recordsDose-dependent associationUS DepartmentHealth recordsRegistry participantsMilitary exposuresRetrospective cohort studyHealth AdministrationMain OutcomesHealth conditionsAdministration facilitiesRegistry questionnaireHighest quartilesIncident outcomesVeteransImplementation 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 problemRisk of Serious Adverse Gastrointestinal Events with Potassium Binders in Hospitalized Patients: A National Study
Holleck J, Han L, Skanderson M, Bastian L, Gunderson C, Brandt C, Perkal M, Chang J, Akgün K. Risk of Serious Adverse Gastrointestinal Events with Potassium Binders in Hospitalized Patients: A National Study. Journal Of General Internal Medicine 2024, 1-7. PMID: 39103605, DOI: 10.1007/s11606-024-08979-1.Peer-Reviewed Original ResearchAdjusted odds ratiosSodium zirconium cyclosilicateU.S. Department of Veterans Affairs healthcare systemDepartment of Veterans Affairs healthcare systemVA Corporate Data WarehouseVeterans Affairs Healthcare SystemCorporate Data WarehousePotassium bindersHospitalized patientsGI eventsHealthcare systemOdds ratioAdverse GI eventsSodium polystyrene sulfonateNational studyPotassium-binding drugsComparative riskAdverse gastrointestinal eventsGI adverse eventsTreatment of hyperkalemiaZirconium cyclosilicateGastrointestinal eventsPatiromerAdverse eventsElectronic 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 MSTIdentification of hepatic steatosis among persons with and without HIV using natural language processing
Torgersen J, Skanderson M, Kidwai-Khan F, Carbonari D, Tate J, Park L, Bhattacharya D, Lim J, Taddei T, Justice A, Re V. Identification of hepatic steatosis among persons with and without HIV using natural language processing. Hepatology Communications 2024, 8: e0468. PMID: 38896066, PMCID: PMC11186806, DOI: 10.1097/hc9.0000000000000468.Peer-Reviewed Original ResearchConceptsImaging ReportingSteatotic liver diseaseHIV statusHepatic steatosisPrevalence of metabolic comorbiditiesImaging studiesVeterans Aging Cohort StudyCompare patient characteristicsPositive predictive valueAlcohol use disorderAging Cohort StudyIdentification of hepatic steatosisHIV infectionHepatitis BMetabolic comorbiditiesNatural language processing algorithmsRadiological studiesCohort studyPatient characteristicsClinical reviewLiver diseaseHIVPredictive valueUse disorderClinical image reportsLeveraging 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 outcomesHealthOddsContribution of Potentially Inappropriate Medications to Polypharmacy-Associated Risk of Mortality in Middle-Aged Patients: A National Cohort Study
Guillot J, Justice A, Gordon K, Skanderson M, Pariente A, Bezin J, Rentsch C. Contribution of Potentially Inappropriate Medications to Polypharmacy-Associated Risk of Mortality in Middle-Aged Patients: A National Cohort Study. Journal Of General Internal Medicine 2024, 1-10. PMID: 38831248, DOI: 10.1007/s11606-024-08817-4.Peer-Reviewed Original ResearchMiddle-aged patientsRisk of mortalityVeterans AffairsChronic medicationsVA patient populationIntegrated healthcare systemNational cohort studyAssociated with increased mortalityMiddle-aged individualsMechanism of injuryMiddle-aged peopleAssociated with mortalityInappropriate medicationsBeers criteriaHealthcare systemAttenuate riskCohort studyClinical characteristicsGeneral populationHyperpolypharmacyFollow-upPolypharmacyPatient populationBackgroundThe roleCox modelBlood 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 predictorsA roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness
Kidwai-Khan F, Wang R, Skanderson M, Brandt C, Fodeh S, Womack J. A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness. Journal Of Biomedical Informatics 2024, 154: 104654. PMID: 38740316, PMCID: PMC11144439, DOI: 10.1016/j.jbi.2024.104654.Peer-Reviewed Original ResearchArtificial intelligenceMachine learningNatural language processing techniquesRaw dataLife cycle of dataLanguage processing techniquesInput dataApplication of artificial intelligenceArtificial intelligence processesMachine learning algorithmsTransform raw dataNatural language processing algorithmsArtificial intelligence methodsApplication of AILanguage processing algorithmsLearning algorithmsIntelligent processingError rateIntelligence methodsData governanceProcessing algorithmsData expertiseAlgorithmic biasElectronic health record dataData frameworksSexual and Gender Minority Status and Suicide Mortality: An Explainable Artificial Intelligence Analysis
Yin Y, Workman T, Blosnich J, Brandt C, Skanderson M, Shao Y, Goulet J, Zeng-Treitler Q. Sexual and Gender Minority Status and Suicide Mortality: An Explainable Artificial Intelligence Analysis. International Journal Of Public Health 2024, 69: 1606855. PMID: 38770181, PMCID: PMC11103011, DOI: 10.3389/ijph.2024.1606855.Peer-Reviewed Original ResearchLGBT statusSuicide death riskLGBT patientsLGBTCrude suicide mortality rateSuicide mortality ratesDeath riskProtective factorsAssociated with reduced riskTransgenderCase-control studyVeteransOlder veteransUS veteransHealthcare systemSuicideSuicide riskStatusReligionRisk factorsDeath risk factorsHigh riskLow riskMortality rateDevelopment 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
2021
Services for Headache Disorder(s) among Men and Women Veterans across the Veterans Health Administration – a 10-year Cohort Study (4669)
Seng E, Fenton B, Wang K, Skanderson M, Sico J. Services for Headache Disorder(s) among Men and Women Veterans across the Veterans Health Administration – a 10-year Cohort Study (4669). Neurology 2021, 96 DOI: 10.1212/wnl.96.15_supplement.4669.Peer-Reviewed Original ResearchHeadache and Pain Multimorbidity in a National Cohort of U.S. Veterans with Cluster Headache (4889)
Koo B, Schindler E, Seng E, Ney J, Skanderson M, Wang K, Fenton B, Sico J. Headache and Pain Multimorbidity in a National Cohort of U.S. Veterans with Cluster Headache (4889). Neurology 2021, 96 DOI: 10.1212/wnl.96.15_supplement.4889.Peer-Reviewed Original Research
2007
Co-morbid medical and psychiatric illness and substance abuse in HCV-infected and uninfected veterans
Butt A, Khan U, McGinnis K, Skanderson M, Kent Kwoh C. Co-morbid medical and psychiatric illness and substance abuse in HCV-infected and uninfected veterans. Journal Of Viral Hepatitis 2007, 0: 070729180316002-???. DOI: 10.1111/j.1365-2893.2007.00885.x.Peer-Reviewed Original Research