2023
Extracting 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 statisticsAssessing the contributions of modifiable risk factors to serious falls and fragility fractures among older persons living with HIV
Womack J, Murphy T, Leo‐Summers L, Bates J, Jarad S, Gill T, Hsieh E, Rodriguez‐Barradas M, Tien P, Yin M, Brandt C, Justice A. Assessing the contributions of modifiable risk factors to serious falls and fragility fractures among older persons living with HIV. Journal Of The American Geriatrics Society 2023, 71: 1891-1901. PMID: 36912153, PMCID: PMC10258163, DOI: 10.1111/jgs.18304.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAlcoholismCohort StudiesFractures, BoneFrailtyHIV InfectionsHumansRisk FactorsConceptsModifiable risk factorsFragility fracturesRisk factorsAlcohol use disorderSerious fallsPhysiologic frailtyAntiretroviral therapyOlder PWHUse disordersVeterans Aging Cohort StudyMeasures of multimorbidityAging Cohort StudyBody mass indexMultivariable logistic modelAverage attributable fractionSuccessful prevention programsKey risk factorsOpioid prescriptionsCohort studyMass indexModifiable factorsSixth decadeAttributable fractionElevated riskICD9 codes
2011
The Burden of Illness in the First Year Home: Do Male and Female VA Users Differ in Health Conditions and Healthcare Utilization
Haskell SG, Mattocks K, Goulet JL, Krebs EE, Skanderson M, Leslie D, Justice AC, Yano EM, Brandt C. The Burden of Illness in the First Year Home: Do Male and Female VA Users Differ in Health Conditions and Healthcare Utilization. Women's Health Issues 2011, 21: 92-97. PMID: 21185994, PMCID: PMC3138124, DOI: 10.1016/j.whi.2010.08.001.Peer-Reviewed Original ResearchConceptsFemale veteransHealth servicesComprehensive women's health servicesHealth care service useVeterans Health Administration (VHA) servicesHealth conditionsCare service useBurden of illnessHealth care utilizationWomen's health servicesPercent of womenMental health clinicsOperation Enduring Freedom/Operation Iraqi Freedom veteransMental health disordersReproductive health needsMental health conditionsOperation Iraqi Freedom veteransVeterans' health careSignificant demographic differencesPosttraumatic stress disorderIraqi Freedom veteransCare utilizationClinical data basesGynecologic examinationHealthcare utilization
2010
A comparison of two approaches to text processing: facilitating chart reviews of radiology reports in electronic medical records.
Womack JA, Scotch M, Gibert C, Chapman W, Yin M, Justice AC, Brandt C. A comparison of two approaches to text processing: facilitating chart reviews of radiology reports in electronic medical records. Perspectives In Health Information Management Is 2010, 7: 1a. PMID: 21063542, PMCID: PMC2966352.Peer-Reviewed Original Research