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
Relationships Between Temporomandibular Disorders, MSD Conditions, and Mental Health Comorbidities: Findings from the Veterans Musculoskeletal Disorders Cohort
Fenton BT, Goulet JL, Bair MJ, Cowley T, Kerns RD. Relationships Between Temporomandibular Disorders, MSD Conditions, and Mental Health Comorbidities: Findings from the Veterans Musculoskeletal Disorders Cohort. Pain Medicine 2018, 19: s61-s68. PMID: 30203016, DOI: 10.1093/pm/pny145.Peer-Reviewed Original ResearchConceptsMental health comorbiditiesTemporomandibular disordersRace/ethnicityHealth comorbiditiesTMD casesAssociation of TMDNational Veterans Health AdministrationNonwhite race/ethnicityNontraumatic joint disordersChronic painful conditionsVeterans Health AdministrationChi-square testCross-sectional analysisObservational cohortBack painPainful conditionsJoint disordersComorbidity patternsMood disordersHispanic ethnicityHispanic womenMale veteransComorbiditiesHealth AdministrationDisorder cohortEvaluation 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
2017
Examining Gender as a Correlate of Self-Reported Pain Treatment Use Among Recent Service Veterans with Deployment-Related Musculoskeletal Disorders
Driscoll MA, Higgins D, Shamaskin-Garroway A, Burger A, Buta E, Goulet JL, Heapy A, Kerns RD, Brandt CA, Haskell SG. Examining Gender as a Correlate of Self-Reported Pain Treatment Use Among Recent Service Veterans with Deployment-Related Musculoskeletal Disorders. Pain Medicine 2017, 18: 1767-1777. PMID: 28379576, DOI: 10.1093/pm/pnx023.Peer-Reviewed Original ResearchMeSH KeywordsAdultCohort StudiesFemaleHumansMaleMiddle AgedMusculoskeletal PainPain ManagementSelf ReportSex DistributionSurveys and QuestionnairesVeteransConceptsPain treatment modalitiesChronic painSelf-reported useCIH servicesPain treatmentPain careMusculoskeletal conditionsTreatment modalitiesRehabilitation therapyIntegrative health servicesInterventional pain treatmentsChronic pain treatmentWomen Veterans Cohort StudyVeterans Health AdministrationMental health conditionsSelf-rated healthGender differencesSample of veteransCorrelates of SelfCohort studyPain severityCare utilizationSpecialty careTreatment useInterventional strategiesGender Differences in Demographic and Clinical Correlates among Veterans with Musculoskeletal Disorders
Higgins DM, Fenton BT, Driscoll MA, Heapy AA, Kerns RD, Bair MJ, Carroll C, Brennan PL, Burgess DJ, Piette JD, Haskell SG, Brandt CA, Goulet JL. Gender Differences in Demographic and Clinical Correlates among Veterans with Musculoskeletal Disorders. Women's Health Issues 2017, 27: 463-470. PMID: 28325585, DOI: 10.1016/j.whi.2017.01.008.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAnxietyChronic PainCohort StudiesFemaleHumansMaleMiddle AgedMigraine DisordersMusculoskeletal DiseasesMusculoskeletal PainPain ManagementSeverity of Illness IndexSex FactorsSocioeconomic FactorsSubstance-Related DisordersUnited StatesUnited States Department of Veterans AffairsVeteransConceptsMusculoskeletal disordersClinical correlatesPain intensity numeric rating scalePain-related disabilityNumeric rating scaleGreater pain intensityDiagnosis of fibromyalgiaBack pain conditionsMental health conditionsSubstance use disordersGender differencesNeck painPain serviceSevere painPain conditionsPain intensityChronic painTemporomandibular disordersPainful conditionsCardiovascular diseaseMigraine headacheHigh riskLower oddsMSD diagnosisUse disorders
2016
Statistical 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 dateThe musculoskeletal diagnosis cohort
Goulet JL, Kerns RD, Bair M, Becker W, Brennan P, Burgess DJ, Carroll CM, Dobscha S, Driscoll M, Fenton BT, Fraenkel L, Haskell S, Heapy A, Higgins D, Hoff RA, Hwang U, Justice AC, Piette JD, Sinnott P, Wandner L, Womack J, Brandt CA. The musculoskeletal diagnosis cohort. Pain 2016, 157: 1696-1703. PMID: 27023420, PMCID: PMC4949131, DOI: 10.1097/j.pain.0000000000000567.Peer-Reviewed Original ResearchConceptsMSD diagnosisMusculoskeletal disordersMSD cohortIndex dateVeterans Health Administration (VHA) careNumeric rating scale scoreICD-9-CM codesCohort inclusion criteriaNontraumatic joint disordersPain-related treatmentsMore outpatient visitsVeterans Health AdministrationMental health diagnosesRating Scale scoresHigher NRS scoresHealth services researchElectronic health recordsDiagnosis cohortSevere painInpatient visitsNRS scoresOutpatient visitsNeck disordersFirst diagnosisMean age