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
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
Project 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 practices