2024
Implementation 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 problemLeveraging 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 outcomesHealthOdds
2023
Dementia risk analysis using temporal event modeling on a large real-world dataset
Taylor R, Gilson A, Chi L, Haimovich A, Crawford A, Brandt C, Magidson P, Lai J, Levin S, Mecca A, Hwang U. Dementia risk analysis using temporal event modeling on a large real-world dataset. Scientific Reports 2023, 13: 22618. PMID: 38114545, PMCID: PMC10730574, DOI: 10.1038/s41598-023-49330-8.Peer-Reviewed Original ResearchUnderstanding 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 settingPatient Dietary Supplements Use: Do Results from Natural Language Processing of Clinical Notes Agree with Survey Data?
Redd D, Workman T, Shao Y, Cheng Y, Tekle S, Garvin J, Brandt C, Zeng-Treitler Q. Patient Dietary Supplements Use: Do Results from Natural Language Processing of Clinical Notes Agree with Survey Data? Medical Sciences 2023, 11: 37. PMID: 37367736, PMCID: PMC10304046, DOI: 10.3390/medsci11020037.Peer-Reviewed Original ResearchConceptsSelf-reported supplement useSupplement useClinical notesStructured medical recordsUnstructured clinical notesPrescription medicationsClinical recordsMedical recordsPhysician guidanceDietary supplementsNatural language processing toolsPatientsNatural language processingFolic acidHealthcare facilitiesLanguage processing toolsSupplementsF1 scoreLanguage processingPotential interactionsNLP performanceProcessing toolsNLP extractionExtra informationMedicationsExtracting 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 statisticsOpioid use and opioid use disorder in mono and dual-system users of veteran affairs medical centers
Goulet J, Cheng Y, Becker W, Brandt C, Sandbrink F, Workman T, Ma P, Libin A, Shara N, Spevak C, Kupersmith J, Zeng-Treitler Q. Opioid use and opioid use disorder in mono and dual-system users of veteran affairs medical centers. Frontiers In Public Health 2023, 11: 1148189. PMID: 37124766, PMCID: PMC10141670, DOI: 10.3389/fpubh.2023.1148189.Peer-Reviewed Original ResearchConceptsOpioid use disorderNew opioid prescriptionsOpioid prescriptionsOUD diagnosisVA careUse disordersPrevalence of OUDVeterans Affairs Medical CenterGuideline-concordant careRetrospective cohort studyMultivariate logistic regressionNon-VA sourcesVeterans Administration dataCommunity care servicesPrescription sourceUS healthcare systemOpioid medicationsOpioid useCohort studyConcordant careActive patientsVA cliniciansIntra-class correlationMedical CenterWhite raceThe Role of Unit and Interpersonal Support in Military Sexual Trauma and Posttraumatic Stress Disorder Symptoms
Webermann A, Relyea M, Portnoy G, Martino S, Brandt C, Haskell S. The Role of Unit and Interpersonal Support in Military Sexual Trauma and Posttraumatic Stress Disorder Symptoms. Journal Of Interpersonal Violence 2023, 38: 9514-9535. PMID: 37005795, DOI: 10.1177/08862605231165764.Peer-Reviewed Original ResearchConceptsPosttraumatic stress disorderMilitary sexual traumaUnit supportPTSD symptomsInterpersonal supportSexual traumaPosttraumatic stress disorder (PTSD) symptomsOperation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn VeteransOperation New Dawn veteransNew Dawn veteransWomen veteransStress disorderSymptomsDisorder symptomsWomenService membersGreater PTSD symptomsVeteransTraumaPotential factorsGender differencesMediatorsLess unitsComplementary and Integrative Health Approaches and Pain Care Quality in the Veterans Health Administration Primary Care Setting: A Quasi-Experimental Analysis
Han L, Luther S, Finch D, Dobscha S, Skanderson M, Bathulapalli H, Fodeh S, Hahm B, Bouayad L, Lee A, Goulet J, Brandt C, Kerns R. Complementary and Integrative Health Approaches and Pain Care Quality in the Veterans Health Administration Primary Care Setting: A Quasi-Experimental Analysis. Journal Of Alternative And Complementary Medicine 2023, 29: 420-429. PMID: 36971840, PMCID: PMC10280173, DOI: 10.1089/jicm.2022.0686.Peer-Reviewed Original ResearchConceptsPain care qualityPrimary care settingCIH exposureIntegrative health approachesCare settingsPropensity scorePain managementCIH approachesPCQ scoresPrimary care clinic visitsHealth approachCare qualityInternational clinical guidelinesChronic pain managementPrimary care capacityDeclaration of AstanaVHA initiativesClinic visitsMusculoskeletal painBenefits patientsMassage therapyClinical guidelinesExposure groupCare capacityMusculoskeletal disordersAssessing the contributions of modifiable risk factors to serious falls and fragility fractures among older persons living with HIV
Womack J, Murphy T, Leo‐Summers L, Bates J, Jarad S, Gill T, Hsieh E, Rodriguez‐Barradas M, Tien P, Yin M, Brandt C, Justice A. Assessing the contributions of modifiable risk factors to serious falls and fragility fractures among older persons living with HIV. Journal Of The American Geriatrics Society 2023, 71: 1891-1901. PMID: 36912153, PMCID: PMC10258163, DOI: 10.1111/jgs.18304.Peer-Reviewed Original ResearchConceptsModifiable risk factorsFragility fracturesRisk factorsAlcohol use disorderSerious fallsPhysiologic frailtyAntiretroviral therapyOlder PWHUse disordersVeterans Aging Cohort StudyMeasures of multimorbidityAging Cohort StudyBody mass indexMultivariable logistic modelAverage attributable fractionSuccessful prevention programsKey risk factorsOpioid prescriptionsCohort studyMass indexModifiable factorsSixth decadeAttributable fractionElevated riskICD9 codesVariation in firearm screening and access by LGBT status
Goulet J, Warren A, Workman T, Skanderson M, Farmer M, Gordon K, Abel E, Akgün K, Bean‐Mayberry B, Zeng‐Treitler Q, Haderlein T, Haskell S, Bastian L, Womack J, Post L, Hwang U, Brandt C. Variation in firearm screening and access by LGBT status. Academic Emergency Medicine 2023, 30: 420-423. PMID: 36661348, DOI: 10.1111/acem.14664.Peer-Reviewed Original ResearchPersonalized Digital Health Information to Substantiate Human-Delivered Exercise Support for Adults With Type 1 Diabetes
Ash G, Nally L, Stults-Kolehmainen M, De Los Santos M, Jeon S, Brandt C, Gulanski B, Spanakis E, Baker J, Weinzimer S, Fucito L. Personalized Digital Health Information to Substantiate Human-Delivered Exercise Support for Adults With Type 1 Diabetes. Clinical Journal Of Sport Medicine 2023, 33: 512-520. PMID: 36715983, PMCID: PMC10898917, DOI: 10.1097/jsm.0000000000001078.Peer-Reviewed Original ResearchConceptsContinuous glucose monitoringExercise supportHealth informationDigital health informationBody mass indexType 1 diabetesCommunity-based sampleSevere hypoglycemiaMass indexPsychosocial assessmentCGM useHigh satisfaction ratingsPhysician oversightType 1Future interventionsGlucose monitoringMedical readinessMolecular biomarkersBaseline observationsInterventionSatisfaction ratingsAdultsExerciseBehavioral skillsSingle groupUnderstanding 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
Computable Clinical Phenotyping of Postacute Sequelae of COVID-19 in Pediatrics Using Real-World Data
Fashina T, Miller C, Paintsil E, Niccolai L, Brandt C, Oliveira C. Computable Clinical Phenotyping of Postacute Sequelae of COVID-19 in Pediatrics Using Real-World Data. Journal Of The Pediatric Infectious Diseases Society 2022, 12: 113-116. PMID: 36548966, PMCID: PMC9969330, DOI: 10.1093/jpids/piac132.Peer-Reviewed Original ResearchTemporal and Geographic Patterns of Documentation of Sexual Orientation and Gender Identity Keywords in Clinical Notes
Workman T, Goulet J, Brandt C, Lindemann L, Skanderson M, Warren A, Eleazer J, Kronk C, Gordon K, Pratt-Chapman M, Zeng-Treitler Q. Temporal and Geographic Patterns of Documentation of Sexual Orientation and Gender Identity Keywords in Clinical Notes. Medical Care 2022, 61: 130-136. PMID: 36511399, PMCID: PMC9931630, DOI: 10.1097/mlr.0000000000001803.Peer-Reviewed Original ResearchPost-9/11 deployment history and the incidence of breast cancer among women veterans
Gaffey A, Han L, Ramsey C, Skanderson M, Dziura J, Driscoll M, Burg M, Brandt C, Bastian L, Haskell S. Post-9/11 deployment history and the incidence of breast cancer among women veterans. Annals Of Epidemiology 2022, 77: 98-102. PMID: 36470323, DOI: 10.1016/j.annepidem.2022.11.010.Peer-Reviewed Original ResearchConceptsOEF/OIF deploymentBreast cancerWomen veteransHealthcare utilizationHormone replacement therapy useRetrospective cohort studyVeterans Affairs (VA) careHealthy soldier effectOEF/OIFCohort studyTherapy useBC incidenceHormonal contraceptivesLifestyle factorsPrimary careBC diagnosisLower incidenceOperations Enduring Freedom/Iraqi FreedomWomenIncidenceGreater likelihoodIraqi FreedomVeteransCancerCareEmergency Department Care Transitions for Patients With Cognitive Impairment: A Scoping Review
Gettel CJ, Falvey JR, Gifford A, Hoang L, Christensen LA, Hwang U, Shah MN, Network T, Aggarawal N, Allore H, Amy A, Belleville M, Bellolio M, Betz M, Biese K, Brandt C, Bruursema S, Carnahan R, Carpenter C, Carr D, Chin-Hansen J, Daven M, Degesys N, Dresden M, Dussetschleger J, Ellenbogen M, Falvey J, Foster B, Gettel C, Gifford A, Gilmore-Bykovskyi A, Goldberg E, Han J, Hardy J, Hastings S, Hirshon J, Hoang L, Hogan T, Hung W, Hwang U, Isaacs E, Jaspal N, Jobe D, Johnson J, Kelly K, Kennedy M, Kind A, Leggett J, Malone M, Moccia M, Moreno M, Morrow-Howell N, Nowroozpoor A, Ohuabunwa U, Oiyemhonian B, Perry W, Prusaczk B, Resendez J, Rising K, Sano M, Savage B, Shah M, Suyama J, Swartzberg J, Taylor Z, Vaishal T, Vann A, Webb T, Weintraub S. Emergency Department Care Transitions for Patients With Cognitive Impairment: A Scoping Review. Journal Of The American Medical Directors Association 2022, 23: 1313.e1-1313.e13. PMID: 35247358, PMCID: PMC9378565, DOI: 10.1016/j.jamda.2022.01.076.Peer-Reviewed Original ResearchConceptsCare transition interventionsRelevant patient-centered outcomesPatient-centered outcomesCognitive impairmentCare partnersTransition interventionsCare transitionsOlder adultsEmergency Department Care TransitionsED revisit ratesSystematic electronic searchFull-text reviewScoping ReviewMedical research databasesGeriatric assessmentSecondary outcomesSystematic scoping reviewED careED patientsED settingPhysical functionFuture investigationsCare coordinationOutpatient careEligible studies
2011
How Good Are the Data? Feasible Approach to Validation of Metrics of Quality Derived From an Outpatient Electronic Health Record
Benin AL, Fenick A, Herrin J, Vitkauskas G, Chen J, Brandt C. How Good Are the Data? Feasible Approach to Validation of Metrics of Quality Derived From an Outpatient Electronic Health Record. American Journal Of Medical Quality 2011, 26: 441-451. PMID: 21926280, DOI: 10.1177/1062860611403136.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAmbulatory CareChildChild, PreschoolGuideline AdherenceHumansInfantMass ScreeningMedical Records Systems, ComputerizedOutcome and Process Assessment, Health CareOutpatientsPatient SafetyPediatricsPractice Guidelines as TopicQuality Indicators, Health CareQuality of Health CareReproducibility of ResultsThe Yale cTAKES extensions for document classification: architecture and application
Garla V, Re V, Dorey-Stein Z, Kidwai F, Scotch M, Womack J, Justice A, Brandt C. The Yale cTAKES extensions for document classification: architecture and application. Journal Of The American Medical Informatics Association 2011, 18: 614-620. PMID: 21622934, PMCID: PMC3168305, DOI: 10.1136/amiajnl-2011-000093.Peer-Reviewed Original ResearchConceptsDocument classificationFeature extractionProcessing systemKnowledge Extraction SystemDocument classification systemClinical Text AnalysisDocument classifierFeature representationRadiology reportsOpen sourceClinical textText analysisTechnical challengesClassificationExtraction systemClassification systemRepresentationClassifierSemanticsSystemArchitectureRetrievalExtractionSyntaxExtensionThe Burden of Illness in the First Year Home: Do Male and Female VA Users Differ in Health Conditions and Healthcare Utilization
Haskell SG, Mattocks K, Goulet JL, Krebs EE, Skanderson M, Leslie D, Justice AC, Yano EM, Brandt C. The Burden of Illness in the First Year Home: Do Male and Female VA Users Differ in Health Conditions and Healthcare Utilization. Women's Health Issues 2011, 21: 92-97. PMID: 21185994, PMCID: PMC3138124, DOI: 10.1016/j.whi.2010.08.001.Peer-Reviewed Original ResearchConceptsFemale veteransHealth servicesComprehensive women's health servicesHealth care service useVeterans Health Administration (VHA) servicesHealth conditionsCare service useBurden of illnessHealth care utilizationWomen's health servicesPercent of womenMental health clinicsOperation Enduring Freedom/Operation Iraqi Freedom veteransMental health disordersReproductive health needsMental health conditionsOperation Iraqi Freedom veteransVeterans' health careSignificant demographic differencesPosttraumatic stress disorderIraqi Freedom veteransCare utilizationClinical data basesGynecologic examinationHealthcare utilization