2022
Characteristics of Chiropractic Patients in the Veterans Health Administration During the COVID-19 Pandemic: A Cross-Sectional Analysis
Roytman G, Cheung K, Bathulapalli H, Goertz C, Long C, Lisi A. Characteristics of Chiropractic Patients in the Veterans Health Administration During the COVID-19 Pandemic: A Cross-Sectional Analysis. Journal Of Manipulative And Physiological Therapeutics 2022, 45: 615-622. PMID: 37294219, PMCID: PMC10254439, DOI: 10.1016/j.jmpt.2023.04.002.Peer-Reviewed Original ResearchMeSH KeywordsAgedChiropracticCOVID-19Cross-Sectional StudiesHumansPandemicsRetrospective StudiesTelemedicineVeterans HealthConceptsVeterans Health AdministrationCharlson Comorbidity IndexTelehealth visitsCross-sectional analysisComorbidity indexPatient characteristicsChiropractic careHealth AdministrationUS Veterans Health AdministrationRetrospective cross-sectional analysisCOVID-19 pandemicMarital statusNon-white raceYears of ageChiropractic patientsVHA patientsUnique patientsMusculoskeletal complaintsMusculoskeletal conditionsVisit typeMultinomial logistic regressionPatientsLatino ethnicityLogistic regressionVisitsJoint 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 disorderGender Differences in Guideline-Directed Medical Therapy for Cardiovascular Disease Among Young Veterans
Dhruva SS, Dziura J, Bathulapalli H, Rosman L, Gaffey AE, Davis MB, Brandt CA, Haskell SG. Gender Differences in Guideline-Directed Medical Therapy for Cardiovascular Disease Among Young Veterans. Journal Of General Internal Medicine 2022, 37: 806-815. PMID: 36042086, PMCID: PMC9481764, DOI: 10.1007/s11606-022-07595-1.Peer-Reviewed Original ResearchConceptsGuideline-directed medical therapyIncident coronary artery diseaseCoronary artery diseaseHeart failureMedical therapyCardiovascular diseaseWomen veteransDiagnosis of HFAldosterone system inhibitorsIncident heart failureAdverse cardiovascular outcomesClinical practice guidelinesRisk of mortalityLevel of evidenceYounger women veteransHF medicationsMultiple pharmacotherapiesAntiplatelet therapyCardiovascular outcomesYounger average ageArtery diseaseCVD careGuideline recommendationsSystem inhibitorsAdverse outcomes
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
2018
Evaluation of Complementary and Integrative Health Approaches Among US Veterans with Musculoskeletal Pain Using Propensity Score Methods
Han L, Goulet JL, Skanderson M, Bathulapalli H, Luther SL, Kerns RD, Brandt CA. Evaluation of Complementary and Integrative Health Approaches Among US Veterans with Musculoskeletal Pain Using Propensity Score Methods. Pain Medicine 2018, 20: 90-102. PMID: 29584926, PMCID: PMC6329442, DOI: 10.1093/pm/pny027.Peer-Reviewed Original ResearchConceptsIntegrative health approachesPS matchingCIH exposureMusculoskeletal painPropensity score methodsSelf-rated pain intensityHealth approachHigher pain intensity ratingsPain intensity outcomesChronic musculoskeletal painPain intensity ratingsIPTW modelsRetrospective cohortPain intensityChronic painClinical visitsInitial diagnosisChiropractic careUS veteransBaseline differencesTreatment weightingExposure groupPainScore methodTreatment effectiveness
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