2023
Evaluating rates of chiropractic use and utilization by patient sex within the United States Veterans Health Administration: a serial cross-sectional analysis
Graham S, Coleman B, Zhao X, Lisi A. Evaluating rates of chiropractic use and utilization by patient sex within the United States Veterans Health Administration: a serial cross-sectional analysis. Chiropractic & Manual Therapies 2023, 31: 29. PMID: 37563677, PMCID: PMC10416500, DOI: 10.1186/s12998-023-00497-x.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationUnited States Veterans Health AdministrationSerial cross-sectional analysisChiropractic careVHA facilitiesChiropractic clinicCross-sectional analysisChiropractic visitsChiropractic useHealth AdministrationChiropractic servicesProportion of patientsElectronic health record dataNumber of patientsHealth record dataHealthcare usersUS healthcare systemCare visitsChiropractic patientsOverall patientsRate of useTotal patientsVHA patientsCare utilizationPatient sexExtracting Pain Care Quality Indicators from U.S. Veterans Health Administration Chiropractic Care Using Natural Language Processing
Coleman B, Finch D, Wang R, Luther S, Heapy A, Brandt C, Lisi A. Extracting Pain Care Quality Indicators from U.S. Veterans Health Administration Chiropractic Care Using Natural Language Processing. Applied Clinical Informatics 2023, 14: 600-608. PMID: 37164327, PMCID: PMC10411229, DOI: 10.1055/a-2091-1162.Peer-Reviewed Original ResearchConceptsCare quality indicatorsVeterans Health AdministrationVisit typePain assessmentChiropractic careConsultation visitCare qualityClinic visit typePain care qualityComprehensive pain assessmentWomen Veterans Cohort StudyCare visitsCohort studyMusculoskeletal painManagement visitsVisit notesHealth AdministrationConsultation notesChiropractic servicesVisitsQuality indicatorsMean numberTreatment planningPatientsDescriptive statistics
2021
Characteristics and Practice Patterns of U.S. Veterans Health Administration Doctors of Chiropractic: A Cross-sectional Survey
Halloran SM, Coleman BC, Kawecki T, Long CR, Goertz C, Lisi AJ. Characteristics and Practice Patterns of U.S. Veterans Health Administration Doctors of Chiropractic: A Cross-sectional Survey. Journal Of Manipulative And Physiological Therapeutics 2021, 44: 535-545. PMID: 35282855, PMCID: PMC8959397, DOI: 10.1016/j.jmpt.2021.12.005.Peer-Reviewed Original ResearchMeSH KeywordsChiropracticCross-Sectional StudiesHumansMaleManipulation, ChiropracticMiddle AgedSurveys and QuestionnairesVeterans HealthConceptsCross-sectional surveyCurrent clinical practice guidelinesIntegrated health care systemFlexion-distraction techniqueNew patient consultationsSelf-management adviceClinical practice guidelinesPrimary care providersPhysical medicine departmentLow back conditionsHealth care systemMyofascial therapyChiropractic careMean ageTherapeutic exercisePatient referralPractice patternsPractice guidelinesPractice parametersCare providersClinical careMedicine departmentPeer-reviewed publicationsTreatment approachesMajority of respondentsICD-10 Coding of Musculoskeletal Conditions in the Veterans Health Administration
Coleman BC, Goulet JL, Higgins DM, Bathulapalli H, Kawecki T, Ruser CB, Bastian LA, Martino S, Piette JD, Edmond SN, Heapy AA. ICD-10 Coding of Musculoskeletal Conditions in the Veterans Health Administration. Pain Medicine 2021, 22: 2597-2603. PMID: 33944953, PMCID: PMC8783617, DOI: 10.1093/pm/pnab161.Peer-Reviewed Original ResearchMeSH KeywordsHumansInternational Classification of DiseasesLongitudinal StudiesMusculoskeletal DiseasesVeteransVeterans HealthConceptsSpecialty care settingsVeterans Health AdministrationCare settingsDiagnosis codesMusculoskeletal diagnosesMusculoskeletal conditionsHealth AdministrationVeterans Health Administration (VHA) careLow back painLongitudinal cohort studyICD-10 codingVisit diagnosesCohort studyDiagnosis cohortBack painCommon diagnosisUnique patientsNumber of visitsInternational ClassificationMusculoskeletal carePotential diagnosisSecondary analysisPatientsDiagnosisMusculoskeletal system
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