2024
Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure
Adejumo P, Thangaraj P, Dhingra L, Aminorroaya A, Zhou X, Brandt C, Xu H, Krumholz H, Khera R. Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure. JAMA Network Open 2024, 7: e2443925. PMID: 39509128, PMCID: PMC11544492, DOI: 10.1001/jamanetworkopen.2024.43925.Peer-Reviewed Original ResearchConceptsFunctional status assessmentArea under the receiver operating characteristic curveClinical documentationElectronic health record dataHF symptomsOptimal care deliveryHealth record dataAssess functional statusStatus assessmentClinical trial participationProcessing of clinical documentsFunctional status groupCare deliveryOutpatient careMain OutcomesMedical notesTrial participantsNew York Heart AssociationFunctional statusQuality improvementRecord dataHeart failureClinical notesDiagnostic studiesStatus groupsIntroduction: Pain Management Collaboratory: updates, lessons learned, and future directions
Kerns R, Brandt C, Peduzzi P. Introduction: Pain Management Collaboratory: updates, lessons learned, and future directions. Pain Medicine 2024, 25: s1-s3. PMCID: PMC11548851, DOI: 10.1093/pm/pnae097.Peer-Reviewed Original ResearchUtility of the PICOTS framework to assess clinical trial disruptions: monitoring the impact of COVID-19 in the Pain Management Collaboratory
Peduzzi P, Brandt C, Dearth C, Dziura J, Farrokhi S, George S, Kyriakides T, Long C, Mascha E, Patterson C, Rhon D, Kerns R. Utility of the PICOTS framework to assess clinical trial disruptions: monitoring the impact of COVID-19 in the Pain Management Collaboratory. Pain Medicine 2024, 25: s34-s40. PMID: 39514876, PMCID: PMC11548861, DOI: 10.1093/pm/pnae078.Peer-Reviewed Original ResearchConceptsPain Management CollaboratoryPICOTS frameworkIndividual-level randomizationPain management researchPragmatic clinical trialsIntervention fidelityCare deliveryStepped-wedgeSpecialty careClinical partnersCOVID-19 experienceIn-personPain managementOutcome assessmentStudy designCOVID-19Nonpharmacologic approachesImpact of COVID-19PICOTExperimental interventionLead investigatorsTrial designDesign of clinical trialsAffective deliveryPainChallenges in clinical data sharing—experiences of the pain management collaboratory
Jannace K, Brandt C, Silliker N, Adepoju B, Raffanello M, Matheny M, Roddy W, Erdos J. Challenges in clinical data sharing—experiences of the pain management collaboratory. Pain Medicine 2024, 25: s31-s33. PMID: 39514872, PMCID: PMC11548850, DOI: 10.1093/pm/pnae063.Peer-Reviewed Original ResearchStrategies for working with pragmatic clinical trial observational data—lessons learned from the Pain Management Collaboratory
Matheny M, Brandt C, Jannace K, Roddy W, Raffanello M, Silliker N, Erdos J. Strategies for working with pragmatic clinical trial observational data—lessons learned from the Pain Management Collaboratory. Pain Medicine 2024, 25: s28-s30. PMID: 39514883, PMCID: PMC11548852, DOI: 10.1093/pm/pnae093.Peer-Reviewed Original ResearchGuideline concordant opioid therapy in Veterans receiving VA and community care
Ma P, Cheng Y, Goulet J, Sandbrink F, Brandt C, Spevak C, Kean J, Becker W, Libin A, Shara N, Sheriff H, Houston J, Butler J, Workman E, Agrawal R, Kupersmith J, Zeng-Treitler Q. Guideline concordant opioid therapy in Veterans receiving VA and community care. BMC Health Services Research 2024, 24: 1284. PMID: 39456008, PMCID: PMC11515256, DOI: 10.1186/s12913-024-11742-1.Peer-Reviewed Original ResearchConceptsDual-system usersGuideline concordant careConcordant careVA servicesCommunity careElectronic health record dataHealth record dataRates of guideline concordanceVA Medical CenterOpioid therapyAdherence to specific guidelinesBaltimore VA Medical CenterGuideline adherenceGuideline concordanceAdherence ratesGuideline recommendationsRecord dataCareDemographic factorsMedical CenterVeteransComorbid conditionsOpioid crisisUrine drug screensSpecific guidelinesFactors Associated With Influenza Vaccination in a National Veteran Cohort
Chen A, Farmer M, Han L, Runels T, Bade B, Crothers K, Bastian L, Bazan I, Bean-Mayberry B, Brandt C, Akgün K. Factors Associated With Influenza Vaccination in a National Veteran Cohort. AJPM Focus 2024, 4: 100290. PMID: 39611140, PMCID: PMC11602634, DOI: 10.1016/j.focus.2024.100290.Peer-Reviewed Original ResearchOdds of vaccinationInfluenza vaccineFemale veteransAmerican Indian/Alaskan Native raceFactors associated with influenza vaccinationReceipt of influenza vaccinationDocumenting influenza vaccinationReduced oddsRetrospective cohort studyElectronic health record dataMale veteransHealth record dataAmbulatory care utilizationInfluenza seasonRuralMale sexWhite male veteransWhite veteransAssociated with raceCohort studyBlack veteransBlack raceEthnic groupsRacial disparitiesInfluenzaMachine 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 riskPatterns of Intimate Partner Violence Among Veterans: A Latent Class Analysis.
Portnoy G, Relyea M, Webermann A, Presseau C, Iverson K, Brandt C, Haskell S. Patterns of Intimate Partner Violence Among Veterans: A Latent Class Analysis. Journal Of Interpersonal Violence 2024, 8862605241284087. PMID: 39394718, DOI: 10.1177/08862605241284087.Peer-Reviewed Original ResearchBidirectional intimate partner violenceIntimate partner violencePatterns of intimate partner violenceIntimate partner violence patternsLatent class analysisPartner violenceIntimate partner violence classPost-9/11 veteransPsychological intimate partner violenceSample of post-9/11 veteransClass analysisIntimate partner violence useWitnessing family violenceGender differencesClass membershipFamily violenceIPV screeningLatent class analysis modelPhysical assaultChild abuseRelationship healthViolenceEmployment statusMarital statusPotential gender differencesImpact 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, 26: 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 investigationCIHPrescriptionInterventions to mitigate EHR and documentation burden in health professions trainees: A scoping review
Levy D, Rossetti S, Brandt C, Melnick E, Hamilton A, Rinne S, Womack D, Mohan V. Interventions to mitigate EHR and documentation burden in health professions trainees: A scoping review. Applied Clinical Informatics 2024 PMID: 39366661, DOI: 10.1055/a-2434-5177.Peer-Reviewed Original ResearchEHR burdenElectronic health recordsHealth professions traineesExperiences of interventionsHealth professionalsDocumentation burdenInpatient settingExperienced health professionalsBurden modelPeer-reviewed studiesQuasi-experimental designDesigning new interventionsShift handoffsEHR workflowPhysician traineesPerspective of interventionHealth recordsPRISMA-ScRScoping reviewLiving tasksConcept clarificationTeam communicationTrainee experienceWorkflow modelNew interventionsChildhood Histories of Family Violence and Adult Intimate Partner Violence Use Among U.S. Military Veterans
Stover C, Relyea M, Presseau C, Brandt C, Haskell S, Portnoy G. Childhood Histories of Family Violence and Adult Intimate Partner Violence Use Among U.S. Military Veterans. Psychology Of Violence 2024 DOI: 10.1037/vio0000555.Peer-Reviewed Original ResearchIntimate partner violenceIntimate partner violence useChildhood family violenceFamily violenceChildhood sexual abuseViolence typesVeteran menWitness parental intimate partner violenceSexual abuseAdult intimate partner violenceParental intimate partner violencePosttraumatic stress symptomsHistory of family violenceVeteran womenFamily violence historyPosttraumatic stress symptom severityVeterans Affairs health careChildhood physical abusePartner violenceViolence useViolence historyViolencePhysical abusePost-9/11 veteransSurvey dataImplementation 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 eventsIntimate Partner Violence Among Lesbian, Gay, and Bisexual Veterans
Warren A, Relyea M, Gross G, Eleazer J, Goulet J, Brandt C, Haskell S, Portnoy G. Intimate Partner Violence Among Lesbian, Gay, and Bisexual Veterans. Psychological Services 2024, 21: 621-625. PMID: 37602982, PMCID: PMC10879444, DOI: 10.1037/ser0000797.Peer-Reviewed Original ResearchElectronic 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 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 frameworks