2021
Measuring pain care quality in the Veterans Health Administration primary care setting
Luther SL, Finch DK, Bouayad L, McCart J, Han L, Dobscha SK, Skanderson M, Fodeh SJ, Hahm B, Lee A, Goulet JL, Brandt CA, Kerns RD. Measuring pain care quality in the Veterans Health Administration primary care setting. Pain 2021, 163: e715-e724. PMID: 34724683, PMCID: PMC8920945, DOI: 10.1097/j.pain.0000000000002477.Peer-Reviewed Original ResearchMeSH KeywordsHumansPainPrimary Health CareQuality of Health CareReproducibility of ResultsUnited StatesUnited States Department of Veterans AffairsVeteransVeterans HealthConceptsPain care qualityPattern of documentationSevere pain intensityFrequency of documentationPresence of painSite of painPrimary care providersPrimary care settingCare quality indicatorsQuality improvement initiativesTotal PCQ scoresPatient characteristicsPain intensityPain carePain impactPCQ scoresCare settingsCare providersMusculoskeletal disordersFurther evaluationPainCare qualityHealthcare facilitiesImprovement initiativesUnique visits
2020
Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data
Sangal RB, Fodeh S, Taylor A, Rothenberg C, Finn EB, Sheth K, Matouk C, Ulrich A, Parwani V, Sather J, Venkatesh A. Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data. Journal Of Stroke And Cerebrovascular Diseases 2020, 29: 105306. PMID: 33070110, PMCID: PMC7686163, DOI: 10.1016/j.jstrokecerebrovasdis.2020.105306.Peer-Reviewed Original ResearchSerious Falls in Middle‐Aged Veterans: Development and Validation of a Predictive Risk Model
Womack JA, Murphy TE, Bathulapalli H, Smith A, Bates J, Jarad S, Redeker NS, Luther SL, Gill TM, Brandt CA, Justice AC. Serious Falls in Middle‐Aged Veterans: Development and Validation of a Predictive Risk Model. Journal Of The American Geriatrics Society 2020, 68: 2847-2854. PMID: 32860222, PMCID: PMC7744431, DOI: 10.1111/jgs.16773.Peer-Reviewed Original ResearchConceptsMiddle-aged veteransVeterans Health AdministrationOpioid useSerious fallsAlcohol Use Disorders Identification Test-Consumption scoresCategory-free net reclassification improvementIllicit substance use disordersMental health comorbiditiesPrescription opioid useMultivariable logistic regressionNet reclassification improvementSubstance use disordersQuality of lifeHazardous alcohol usePredictive risk modelChronic medicationsCohort studyHealth comorbiditiesNinth RevisionReclassification improvementGeriatric healthInjury codesHazardous alcoholInternational ClassificationUse disorders
2017
Classifying Clinical Notes with Pain Assessment.
Fodeh SJ, Finch D, Bouayad L, Luther S, Kerns RD, Brandt C. Classifying Clinical Notes with Pain Assessment. 2017, 245: 1261. PMID: 29295346.Peer-Reviewed Original ResearchMeSH KeywordsChronic PainElectronic Health RecordsHumansMachine LearningPain MeasurementQuality of Health CareReproducibility of Results
2013
Validating a natural language processing tool to exclude psychogenic nonepileptic seizures in electronic medical record-based epilepsy research
Hamid H, Fodeh SJ, Lizama AG, Czlapinski R, Pugh MJ, LaFrance WC, Brandt CA. Validating a natural language processing tool to exclude psychogenic nonepileptic seizures in electronic medical record-based epilepsy research. Epilepsy & Behavior 2013, 29: 578-580. PMID: 24135384, DOI: 10.1016/j.yebeh.2013.09.025.Peer-Reviewed Original ResearchConceptsPsychogenic nonepileptic seizuresPositive predictive valueNonepileptic seizuresDefinite PNESAfghanistan veteransEpilepsy researchNational Clinical DatabaseVideo electroencephalograph monitoringDiagnosis of epilepsySeizure disorderDefinitive diagnosisElectronic health record systemsEpidemiologic dataHealth record systemsPredictive valueClinical databaseElectroencephalograph monitoringPatientsEpilepsyVEEGEpidemiologic researchVeteransRecord systemSeizuresDiagnosis