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
Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization
Coleman BC, Fodeh S, Lisi AJ, Goulet JL, Corcoran KL, Bathulapalli H, Brandt CA. Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization. Chiropractic & Manual Therapies 2020, 28: 47. PMID: 32680545, PMCID: PMC7368704, DOI: 10.1186/s12998-020-00335-4.Peer-Reviewed Original ResearchConceptsSpinal pain conditionsService utilizationPain conditionsChiropractic careConservative interventionsChiropractic servicesVA chiropractic servicesRetrospective cohort studyHealthcare service utilizationHealthcare cost burdenLimited clinical utilityLower healthcare costsCohort entryCohort studyDiagnosis cohortPain statusPrimary outcomeChiropractic visitsClinical featuresUS adultsClinical utilityHealthcare costsDifferent clinical populationsVisitsClinical populations
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 period
2015
Chest pain syndromes are associated with high rates of recidivism and costs in young United States Veterans
Safdar B, Dziura J, Bathulapalli H, Leslie DL, Skanderson M, Brandt C, Haskell SG. Chest pain syndromes are associated with high rates of recidivism and costs in young United States Veterans. BMC Primary Care 2015, 16: 88. PMID: 26202799, PMCID: PMC4511555, DOI: 10.1186/s12875-015-0287-9.Peer-Reviewed Original ResearchConceptsCoronary artery diseaseUnexplained chest painChest painUCP patientsCAD patientsArtery diseaseRisk factorsReturn visitsSpecific ICD-9 codesVeterans AffairsChest pain syndromeRecurrent chest painReference groupRetrospective cohort studyEvidence-based guidelinesICD-9 codesUnited States veteransDirect total costCAD cohortCause deathCardiac painPain syndromeCohort studyCox regressionEmergency department