2018
Duration of opioid prescriptions predicts incident nonmedical use of prescription opioids among U.S. veterans receiving medical care
Barry DT, Marshall BDL, Becker WC, Gordon AJ, Crystal S, Kerns RD, Gaither JR, Gordon KS, Justice AC, Fiellin DA, Edelman EJ. Duration of opioid prescriptions predicts incident nonmedical use of prescription opioids among U.S. veterans receiving medical care. Drug And Alcohol Dependence 2018, 191: 348-354. PMID: 30176548, PMCID: PMC6596307, DOI: 10.1016/j.drugalcdep.2018.07.008.Peer-Reviewed Original ResearchConceptsPrescription opioid receiptPrescription opioidsMedical careOpioid receiptVeterans Health Administration primary careNonmedical useMultivariable Cox modelInfectious disease clinicProspective cohort studyProportional hazards regressionPrescription opioid medicationsPublic health problemSubstance use disordersMedication-related characteristicsOpioid therapyOpioid medicationsOpioid prescriptionsCohort studyDisease clinicMedian ageHazards regressionEligible participantsPrimary careRisk factorsIncidence rate
2017
Classifying clinical notes with pain assessment using machine learning
Fodeh SJ, Finch D, Bouayad L, Luther SL, Ling H, Kerns RD, Brandt C. Classifying clinical notes with pain assessment using machine learning. Medical & Biological Engineering & Computing 2017, 56: 1285-1292. PMID: 29280092, PMCID: PMC6014866, DOI: 10.1007/s11517-017-1772-1.Peer-Reviewed Original ResearchConceptsPain care qualityPain assessmentClinical notesChronic painMusculoskeletal diagnosesSignificant public health problemCharacteristics of patientsIntensity of painType of painPublic health problemPain sitesPain complaintsPatient reportsPainPatientsHealth problemsCare qualityFiscal year 2011Health recordsMillions of peopleComplete dataClinical applicationDiagnosisDemographic variablesWide spectrumClassifying 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 Research