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
Incidence of Mental Health Diagnoses in Veterans of Operations Iraqi Freedom, Enduring Freedom, and New Dawn, 2001-2014.
Ramsey C, Dziura J, Justice AC, Altalib HH, Bathulapalli H, Burg M, Decker S, Driscoll M, Goulet J, Haskell S, Kulas J, Wang KH, Mattocks K, Brandt C. Incidence of Mental Health Diagnoses in Veterans of Operations Iraqi Freedom, Enduring Freedom, and New Dawn, 2001-2014. American Journal Of Public Health 2016, 107: 329-335. PMID: 27997229, PMCID: PMC5227942, DOI: 10.2105/ajph.2016.303574.Peer-Reviewed Original ResearchConceptsMental health diagnosesMajor depressive disorderPosttraumatic stress disorderHealth diagnosisIncidence rateDrug use disorder diagnosisIncident posttraumatic stress disorderOperation Iraqi FreedomAge 18Veterans Health Administration electronic health recordsDisorder diagnosisIncident bipolar disorderHigh-risk groupSociodemographic risk factorsAlcohol use disorder diagnosisMental health conditionsEnduring FreedomIraqi FreedomRace/ethnicityElectronic health recordsIncident schizophreniaRisk factorsDepressive disorderAge 45MDD diagnosisStatistical Models for the Analysis of Zero-Inflated Pain Intensity Numeric Rating Scale Data
Goulet JL, Buta E, Bathulapalli H, Gueorguieva R, Brandt CA. Statistical Models for the Analysis of Zero-Inflated Pain Intensity Numeric Rating Scale Data. Journal Of Pain 2016, 18: 340-348. PMID: 27919777, DOI: 10.1016/j.jpain.2016.11.008.Peer-Reviewed Original ResearchConceptsStatistical modelStatistical methodsExcess of zerosAlternative statistical methodsFollowing statistical modelsNumeric rating scaleNRS scoresDiscrete valuesOrdinal dataLarge cohortLinear modelCumulative logit modelMusculoskeletal disordersRight-skewed distributionZerosObservational cross-sectional studyInterpretability of resultsMean NRS painPainful musculoskeletal disordersPredictor effectsVeterans Affairs (VA) carePain intensity dataCross-sectional studyNRS dataDiagnosis dateEstimating 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 periodCigarette Smoking Status and Receipt of an Opioid Prescription Among Veterans of Recent Wars
Bastian LA, Driscoll MA, Heapy AA, Becker WC, Goulet JL, Kerns RD, DeRycke EC, Perez E, Lynch SM, Mattocks K, Kroll-Desrosiers AR, Brandt CA, Skanderson M, Bathulapalli H, Haskell SG. Cigarette Smoking Status and Receipt of an Opioid Prescription Among Veterans of Recent Wars. Pain Medicine 2016, 18: 1089-1097. PMID: 27659441, DOI: 10.1093/pm/pnw223.Peer-Reviewed Original ResearchConceptsCurrent pain intensityOpioid prescriptionsPain intensitySmoking statusOEF/OIF/OND veteransCurrent smokersFormer smokersOpioid useVeterans Health Administration primary care clinicsOperations Enduring Freedom/Iraqi Freedom/New DawnMild pain intensityMore opioid prescriptionsSevere pain intensityNumeric rating scalePrimary care clinicsCigarette smoking statusCross-sectional analysisOpioid receiptFormer smokingCohort studyCurrent smokingCare clinicsChronic painCigarette smokersSmoking cessation
2014
STI Diagnosis and HIV Testing Among OEF/OIF/OND Veterans
Goulet JL, Martinello RA, Bathulapalli H, Higgins D, Driscoll MA, Brandt CA, Womack JA. STI Diagnosis and HIV Testing Among OEF/OIF/OND Veterans. Medical Care 2014, 52: 1064-1067. PMID: 25334054, PMCID: PMC4232995, DOI: 10.1097/mlr.0000000000000253.Peer-Reviewed Original ResearchConceptsHuman immunodeficiency virusHIV testing ratesSTI diagnosisHIV testingTesting ratesPatient characteristicsHigher HIV testing ratesPrevious HIV test resultsVeterans Health Administration (VHA) servicesRoutine HIV testingVHA administrative dataHIV test resultsRelative risk regressionSubstance abuse disordersPositive test resultsOEF/OIF/OND veteransPosttraumatic stress disorderHIV testImmunodeficiency virusRisk regressionInfection diagnosisMAIN OUTCOMEAbuse disordersService veteransOlder age