2023
Implementer report: ICD-10 code F44.5 review for functional seizure disorder
Ali S, Bornovski Y, Gopaul M, Galluzzo D, Goulet J, Argraves S, Jackson-Shaheed E, Cheung K, Brandt C, Altalib H. Implementer report: ICD-10 code F44.5 review for functional seizure disorder. BMJ Health & Care Informatics Online 2023, 30: e100746. PMID: 37730251, PMCID: PMC10514602, DOI: 10.1136/bmjhci-2023-100746.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsElectronic Health RecordsEpilepsyHumansInternational Classification of DiseasesNatural Language ProcessingConceptsPositive predictive valueSeizure disorderICD-10Single ICD codeEHR problem listElectronic health recordsChart reviewDiagnostic codesInternational ClassificationDiagnostic codingPredictive valueICD codesProblem listDiagnostic precisionHealth recordsDisordersNatural language processing algorithmEHR systemsLanguage processing algorithmReviewCliniciansDisease
2022
Mental Health Diagnoses are Not Associated With Indicators of Lower Quality Pain Care in Electronic Health Records of a National Sample of Veterans Treated in Veterans Health Administration Primary Care Settings
Dobscha SK, Luther SL, Kerns RD, Finch DK, Goulet JL, Brandt CA, Skanderson M, Bathulapalli H, Fodeh SJ, Hahm B, Bouayad L, Lee A, Han L. Mental Health Diagnoses are Not Associated With Indicators of Lower Quality Pain Care in Electronic Health Records of a National Sample of Veterans Treated in Veterans Health Administration Primary Care Settings. Journal Of Pain 2022, 24: 273-281. PMID: 36167230, PMCID: PMC9898089, DOI: 10.1016/j.jpain.2022.08.009.Peer-Reviewed Original ResearchConceptsPain care qualityQuality pain careMental health conditionsPrimary care cliniciansVeterans Health AdministrationPain carePCQ scoresHealth conditionsCare cliniciansUse disordersCare qualitySevere musculoskeletal painRetrospective cohort studyPrimary care visitsGeneral medical carePrimary care settingElectronic health record dataFinal adjusted modelMental health diagnosesEquation Poisson modelsHealth record dataBipolar disorder diagnosisSubstance use disordersAlcohol use disorderPost-traumatic stress disorder
2021
Transphobia, encoded: an examination of trans-specific terminology in SNOMED CT and ICD-10-CM
Ram A, Kronk CA, Eleazer JR, Goulet JL, Brandt CA, Wang KH. Transphobia, encoded: an examination of trans-specific terminology in SNOMED CT and ICD-10-CM. Journal Of The American Medical Informatics Association 2021, 29: 404-410. PMID: 34569604, PMCID: PMC8757305, DOI: 10.1093/jamia/ocab200.Peer-Reviewed Original ResearchExamining Health Care Mobility of Transgender Veterans Across the Veterans Health Administration
Wang KH, McAvay G, Warren A, Miller ML, Pho A, Blosnich JR, Brandt CA, Goulet JL. Examining Health Care Mobility of Transgender Veterans Across the Veterans Health Administration. LGBT Health 2021, 8: 143-151. PMID: 33512276, PMCID: PMC8098769, DOI: 10.1089/lgbt.2020.0152.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationPost-traumatic stress disorderHealth care systemTransgender veteransCare systemHealth AdministrationComplex chronic health conditionsVHA electronic health recordsConditional logistic regression modelsChronic health conditionsDiagnosis of depressionDifferent health care systemsHealth care servicesLogistic regression modelsElectronic health recordsHepatitis CMultidisciplinary careCare coordinationDepressive disorderMultivariable modelGeneral populationCare servicesOlder ageStress disorderHealth conditions
2020
Identifying Multisite Chronic Pain with Electronic Health Records Data
Von Korff M, DeBar LL, Deyo RA, Mayhew M, Kerns RD, Goulet JL, Brandt C. Identifying Multisite Chronic Pain with Electronic Health Records Data. Pain Medicine 2020, 21: 3387-3392. PMID: 32918481, PMCID: PMC7770230, DOI: 10.1093/pm/pnaa295.Peer-Reviewed Original ResearchMeSH KeywordsAdultChronic PainElectronic Health RecordsHumansOpioid-Related DisordersSurveys and QuestionnairesWashingtonConceptsMultisite chronic painElectronic health care dataChronic painChronic pain impactElectronic health recordsHealth care dataCare dataPain impactHealth recordsLong-term opioid useCommon chronic pain conditionsPain-related disabilityChronic pain conditionsKaiser Permanente NorthwestElectronic health record dataHealth record dataPositive predictive valueOpioid usePain severityPain conditionsDepressive symptomsPainPredictive valueEpidemiological researchRecord data
2017
Racial and Ethnic Differences in Total Knee Arthroplasty in the Veterans Affairs Health Care System, 2001–2013
Hausmann LRM, Brandt CA, Carroll CM, Fenton BT, Ibrahim SA, Becker WC, Burgess DJ, Wandner LD, Bair MJ, Goulet JL. Racial and Ethnic Differences in Total Knee Arthroplasty in the Veterans Affairs Health Care System, 2001–2013. Arthritis Care & Research 2017, 69: 1171-1178. PMID: 27788302, PMCID: PMC5538734, DOI: 10.1002/acr.23137.Peer-Reviewed Original ResearchConceptsTotal knee arthroplastyKnee arthroplastyOA diagnosisHispanic-white differencesHispanic veteransVeterans Affairs Health Care SystemTotal knee arthroplasty (TKA) rateCox proportional hazards regressionTotal knee arthroplasty proceduresIncreased clinical severityKnee arthroplasty ratesPotential clinical confoundersPain intensity scoresProportional hazards regressionBody mass indexKnee arthroplasty proceduresEthnic differencesMusculoskeletal disorder diagnosisHealth care systemElectronic health recordsClinical confoundersHazards regressionMass indexRheumatology specialistsClinical severity
2016
Estimating healthcare mobility in the Veterans Affairs Healthcare System
Wang KH, Goulet JL, Carroll CM, Skanderson M, Fodeh S, Erdos J, Womack JA, Abel EA, Bathulapalli H, Justice AC, Nunez-Smith M, Brandt CA. Estimating healthcare mobility in the Veterans Affairs Healthcare System. BMC Health Services Research 2016, 16: 609. PMID: 27769221, PMCID: PMC5075153, DOI: 10.1186/s12913-016-1841-4.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overDelivery of Health CareElectronic Health RecordsEmigration and ImmigrationFemaleHospitals, VeteransHumansMaleMental DisordersMiddle AgedPatient Acceptance of Health CareRetrospective StudiesUnited StatesUnited States Department of Veterans AffairsVeteransVeterans HealthYoung AdultConceptsHealthcare systemVeterans Health Administration electronic health recordsVeterans Affairs Healthcare SystemHealthcare mobilityRetrospective cohort studyHepatitis C virusOutcomes of careDifferent healthcare systemsDistinct healthcare systemsElectronic health recordsClinical characteristicsCohort studyHealthcare utilizationC virusSpecialty carePsychiatric disordersYounger veteransDisease preventionYounger agePopulation healthHealth recordsVeteransStatus changesCareYear periodUnited States National Pain Strategy for Population Research: Concepts, Definitions, and Pilot Data
Von Korff M, Scher AI, Helmick C, Carter-Pokras O, Dodick DW, Goulet J, Hamill-Ruth R, LeResche L, Porter L, Tait R, Terman G, Veasley C, Mackey S. United States National Pain Strategy for Population Research: Concepts, Definitions, and Pilot Data. Journal Of Pain 2016, 17: 1068-1080. PMID: 27377620, DOI: 10.1016/j.jpain.2016.06.009.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedChronic PainDatabases, FactualElectronic Health RecordsFeasibility StudiesFemaleHealth Care CostsHumansInterviews as TopicMaleMiddle AgedPain MeasurementPilot ProjectsPrevalencePsychiatric Status Rating ScalesQuality of LifeResearch DesignSurveys and QuestionnairesTerminology as TopicUnited StatesYoung AdultConceptsHigh-impact chronic painElectronic health care databasesNational Pain StrategyChronic painHealth care databasesPain strategiesPain treatmentCare databaseLarge electronic health care databasesPain-related health careHealth care dataCare dataNational Health Interview SurveyGreater pain-related interferenceHigher health care costsChronic pain prevalencePain-related interferenceChronic pain assessmentElectronic health record dataHealth careHealth plan enrolleesChronic pain impactNational Health SurveyHealth Interview SurveyMultiple anatomic locationsPain research using Veterans Health Administration electronic and administrative data sources
Abel EA, Brandt CA, Czlapinski R, Goulet JL. Pain research using Veterans Health Administration electronic and administrative data sources. The Journal Of Rehabilitation Research And Development 2016, 53: 1-12. PMID: 27005814, DOI: 10.1682/jrrd.2014.10.0246.Peer-Reviewed Original ResearchMeSH KeywordsElectronic Health RecordsHealth Services ResearchHumansPain ManagementUnited StatesUnited States Department of Veterans AffairsVeteransVeterans HealthConceptsPain researchPharmacy dataOutcomes of painVeterans Health AdministrationElectronic health record data sourcesHealth services researchersEHR data sourcesAcute painNRS scoresRevision codesVHA careInternational ClassificationAdministrative data sourcesScale scoreHealth AdministrationPain researchersPainEHR dataAnonymous surveyServices researchersPeer-reviewed articlesScoresCurrent practiceChronicPrevalence
2014
Sex Differences in Patient and Provider Response to Elevated Low-Density Lipoprotein Cholesterol
Haskell SG, Bathulapalli H, Pham T, Goulet J, Skanderson M, Driscoll M, Brandt C, Dziura J. Sex Differences in Patient and Provider Response to Elevated Low-Density Lipoprotein Cholesterol. Women's Health Issues 2014, 24: 575-580. PMID: 25213750, DOI: 10.1016/j.whi.2014.06.004.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAnticholesteremic AgentsAttitude of Health PersonnelAttitude to HealthDyslipidemiasElectronic Health RecordsFemaleHealthcare DisparitiesHumansLipoproteins, LDLLogistic ModelsMaleMiddle AgedOdds RatioPractice Patterns, Physicians'Risk FactorsSex FactorsTreatment OutcomeUnited StatesConceptsCholesterol controlElevated LDLLow-density lipoprotein cholesterol controlElevated low-density lipoprotein cholesterolLow-density lipoprotein cholesterolProvider responsesAmerican Heart Association recommendationsLipid-lowering medicationsIschemic heart diseaseDiet/lifestyle modificationLifestyle modificationStatin therapyLipoprotein cholesterolPatient factorsPatient sexRisk womenClinical remindersHeart diseaseWomen patientsPatient responseTreatment goalsAssociation recommendationsLDL elevationsMedicationsWomen veterans
2013
Agreement Between Electronic Medical Record-based and Self-administered Pain Numeric Rating Scale
Goulet JL, Brandt C, Crystal S, Fiellin DA, Gibert C, Gordon AJ, Kerns RD, Maisto S, Justice AC. Agreement Between Electronic Medical Record-based and Self-administered Pain Numeric Rating Scale. Medical Care 2013, 51: 245-250. PMID: 23222528, PMCID: PMC3572341, DOI: 10.1097/mlr.0b013e318277f1ad.Peer-Reviewed Original ResearchConceptsNumeric rating scaleElectronic medical recordsPain screeningMedical recordsPain numeric rating scaleRating ScaleModerate-severe painVeterans Affairs medical facilitiesPatients' electronic medical recordsMajor depressive disorderEMR dataQuality of careUnderestimation of painSample of veteransPosttraumatic stress disorderHealth care systemClinical characteristicsPatient characteristicsNRS scoresPain careDepressive disorderSurvey scoresPainLevel of agreementStress disorder