2024
Guideline 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 guidelines
2023
Association between early nonpharmacological management and follow-up for low back pain in the veterans health administration
Coleman B, Lisi A, Abel E, Runels T, Goulet J. Association between early nonpharmacological management and follow-up for low back pain in the veterans health administration. North American Spine Society Journal (NASSJ) 2023, 14: 100233. PMID: 37440983, PMCID: PMC10333712, DOI: 10.1016/j.xnsj.2023.100233.Peer-Reviewed Original ResearchLow back painNonpharmacologic managementBack painVeterans Health Administration patientsFirst yearCommon reasons individualsObservational cohort studyProportional hazards regressionElectronic health record dataVeterans Health AdministrationPositive clinical outcomesHealth record dataDay of entryClinical covariablesCohort studyClinical outcomesNonpharmacological managementHazards regressionHealth cohortPatient groupPrimary interventionStudy populationBackground LowHealth AdministrationPatients
2022
Joint longitudinal trajectories of pain intensity and opioid prescription in veterans with back pain
Buta E, Gordon KS, Gueorguieva R, Becker WC, Heapy A, Bathulapalli H, Zeng Q, Redd D, Brandt C, Goulet J. Joint longitudinal trajectories of pain intensity and opioid prescription in veterans with back pain. Pharmacoepidemiology And Drug Safety 2022, 31: 1262-1271. PMID: 35996825, DOI: 10.1002/pds.5531.Peer-Reviewed Original ResearchConceptsBack painOpioid prescriptionsPain/Pain intensityRetrospective cohort studyTrajectories of painElectronic health record dataMental health diagnosesHealth record dataHigh opioidCohort studyClinical predictorsHigher oddsPainLatent class growth analysisOpioidsPain classesHealth diagnosisRecord dataVeteransLongitudinal trajectoriesPrescriptionOddsTrajectory classesDistinct patternsMental 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
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 ResearchConceptsMultisite 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 dataThe Relationship Between Body Mass Index and Pain Intensity Among Veterans with Musculoskeletal Disorders: Findings from the MSD Cohort Study
Higgins DM, Buta E, Heapy AA, Driscoll MA, Kerns RD, Masheb R, Becker WC, Hausmann LRM, Bair MJ, Wandner L, Janke EA, Brandt CA, Goulet JL. The Relationship Between Body Mass Index and Pain Intensity Among Veterans with Musculoskeletal Disorders: Findings from the MSD Cohort Study. Pain Medicine 2020, 21: 2563-2572. PMID: 32186722, PMCID: PMC7778330, DOI: 10.1093/pm/pnaa043.Peer-Reviewed Original ResearchConceptsBody mass indexVeterans Health AdministrationPain intensityMass indexFunction of BMILow back pain groupOdds of painBack pain groupOverweight/obesityElectronic health record dataHealth record dataUS military veteransMusculoskeletal disorder diagnosisCohort studyOsteoarthritis groupPain groupMean ageNational cohortHigh prevalenceMSD diagnosisMusculoskeletal disordersPainHealth AdministrationDisorder diagnosisCross-sectional data
2019
Development and Assessment of a Crosswalk Between ICD-9-CM and ICD-10-CM to Identify Patients with Common Pain Conditions
Mayhew M, DeBar LL, Deyo RA, Kerns RD, Goulet JL, Brandt CA, Von Korff M. Development and Assessment of a Crosswalk Between ICD-9-CM and ICD-10-CM to Identify Patients with Common Pain Conditions. Journal Of Pain 2019, 20: 1429-1445. PMID: 31129316, PMCID: PMC6874733, DOI: 10.1016/j.jpain.2019.05.006.Peer-Reviewed Original ResearchConceptsCommon pain conditionsPain conditionsPrevalence estimatesDiagnostic clustersICD-10-CM diagnosis codesNational Pain StrategyElectronic health record dataICD-9-CM definitionsHealth record dataUS health care systemICD-10-CM transitionHealth services researchHealth care systemPain strategiesDiagnosis codesSocio-demographic characteristicsCondition prevalenceDiagnostic codingElectronic databasesHealth servicesSocio-demographic featuresEpidemiologic researchHealth conditionsCare systemRecord data
2018
Patterns of Alcohol Use Among Patients Living With HIV in Urban, Large Rural, and Small Rural Areas
Bensley KM, McGinnis KA, Fortney J, Chan KCG, Dombrowski JC, Ornelas I, Edelman EJ, Goulet JL, Satre DD, Justice AC, Fiellin DA, Williams EC. Patterns of Alcohol Use Among Patients Living With HIV in Urban, Large Rural, and Small Rural Areas. The Journal Of Rural Health 2018, 35: 330-340. PMID: 30339740, PMCID: PMC6502702, DOI: 10.1111/jrh.12326.Peer-Reviewed Original ResearchConceptsSmall rural areasAlcohol useAUDIT-C alcoholElectronic health record dataHealth record dataAlcohol-related interventionsPrevalence of AUDAlcohol use outcomesHeavy episodic drinkingPLWHRural areasReporting useHIVUse outcomesRecord dataEpisodic drinkingPatientsPrevalenceRegression modelsDrinkingRuralityAUDUnique challengesProject STEP: Implementing the Veterans Health Administration’s Stepped Care Model of Pain Management
Edmond SN, Moore BA, Dorflinger LM, Goulet JL, Becker WC, Heapy AA, Sellinger JJ, Lee AW, Levin FL, Ruser CB, Kerns RD. Project STEP: Implementing the Veterans Health Administration’s Stepped Care Model of Pain Management. Pain Medicine 2018, 19: s30-s37. PMID: 30203015, DOI: 10.1093/pm/pny094.Peer-Reviewed Original ResearchConceptsVA Connecticut Healthcare SystemPrimary care providersVeterans Health AdministrationPain careStepped care modelCare providersPain managementCare modelHealth care utilization dataMultimodal pain careNonopioid analgesic prescribingLong-term opioidsElectronic health record dataPain intensity ratingsHealth record dataClinical health psychologyNonpharmacological servicesAnalgesic prescribingOpioid prescribingPharmacological managementNonpharmacological approachesNonpharmacological treatmentsReferral practicesPhysical therapyCare practicesPosttraumatic stress disorder diagnosis and gender are associated with accelerated weight gain trajectories in veterans during the post-deployment period
Buta E, Masheb R, Gueorguieva R, Bathulapalli H, Brandt CA, Goulet JL. Posttraumatic stress disorder diagnosis and gender are associated with accelerated weight gain trajectories in veterans during the post-deployment period. Eating Behaviors 2018, 29: 8-13. PMID: 29413821, PMCID: PMC5935565, DOI: 10.1016/j.eatbeh.2018.01.002.Peer-Reviewed Original ResearchConceptsStress disorder diagnosisPosttraumatic stress disorder (PTSD) diagnosisMedian ageBMI measurementsPost-deployment periodVeterans Affairs (VA) electronic health record dataWeight gainDisorder diagnosisOverweight/obeseOverweight/obesityWeight management servicesElectronic health record dataAccelerated weight gainHealth record dataWeight gain trajectoriesBMI growth ratePost-deployment veteransRelevant psychiatric diagnosisMedical visitsPotential confoundersNew Dawn veteransPsychiatric diagnosisWomen veteransWeight trajectoriesTreatment interventions
2017
Incident Cardiovascular Risk Factors Among Men and Women Veterans After Return From Deployment
Haskell SG, Brandt C, Burg M, Bastian L, Driscoll M, Goulet J, Mattocks K, Dziura J. Incident Cardiovascular Risk Factors Among Men and Women Veterans After Return From Deployment. Medical Care 2017, 55: 948-955. PMID: 28984707, DOI: 10.1097/mlr.0000000000000801.Peer-Reviewed Original ResearchConceptsCardiovascular risk factorsCV risk factorsRisk factorsImpact of sexWomen veteransClinical Modification diagnostic codesIncident cardiovascular risk factorsPrimary care visitsCoronary artery diseaseElectronic health record dataRisk of obesityVeterans Health AdministrationIncident risk factorsHealth record dataMental health conditionsBlack womenNew International ClassificationCare visitsCohort studyArtery diseaseFemale sexDiagnostic codesIncidence rateProtective effectInternational Classification
2016
United 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 locations