2010
The need for validation of large administrative databases: Veterans Health Administration ICD-9CM coding of exudative age-related macular degeneration and ranibizumab usage
Latkany P, Duggal M, Goulet J, Paek H, Rambo M, Palmisano P, Levin W, Erdos J, Justice A, Brandt C. The need for validation of large administrative databases: Veterans Health Administration ICD-9CM coding of exudative age-related macular degeneration and ranibizumab usage. Journal Of Ocular Biology, Diseases, And Informatics 2010, 3: 30-34. PMID: 21139706, PMCID: PMC2956455, DOI: 10.1007/s12177-010-9052-4.Peer-Reviewed Original ResearchExudative age-related macular degenerationAge-related macular degenerationExcellent positive predictive valuePositive predictive valuePredictive valueMacular degenerationLarge electronic medical record systemsClinical Modification codingLarge administrative databaseNegative predictive valueElectronic medical record systemVA ConnecticutMedical record systemChart reviewNinth RevisionOphthalmology clinicAdministrative databasesClinical informationInternational ClassificationDistinct patientsTherapy policyRanibizumabPatientsRecord systemDegeneration
2007
Measuring Performance Directly Using the Veterans Health Administration Electronic Medical Record
Goulet JL, Erdos J, Kancir S, Levin FL, Wright SM, Daniels SM, Nilan L, Justice AC. Measuring Performance Directly Using the Veterans Health Administration Electronic Medical Record. Medical Care 2007, 45: 73-79. PMID: 17279023, PMCID: PMC3460379, DOI: 10.1097/01.mlr.0000244510.09001.e5.Peer-Reviewed Original ResearchConceptsExternal Peer Review ProgramElectronic medical record systemChart reviewVeterans Health Administration electronic medical recordsEMR dataExtensive chart reviewCross-sectional studySite of careElectronic medical recordsClinical performance measuresMedical record systemMost patientsMedical recordsAnalyzable dataPatientsPeer review programCut pointsRecord systemReview programCareLittle evidenceLarge proportionReviewMeasures
2006
Veterans Aging Cohort Study (VACS)
Justice AC, Dombrowski E, Conigliaro J, Fultz SL, Gibson D, Madenwald T, Goulet J, Simberkoff M, Butt AA, Rimland D, Rodriguez-Barradas MC, Gibert CL, Oursler KA, Brown S, Leaf DA, Goetz MB, Bryant K. Veterans Aging Cohort Study (VACS). Medical Care 2006, 44: s13-s24. PMID: 16849964, PMCID: PMC3049942, DOI: 10.1097/01.mlr.0000223741.02074.66.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyHuman immunodeficiency virusAging Cohort StudyCohort studyHIV infectionGeneral medical clinicMultisite observational studyElectronic medical record systemRace/ethnicityUninfected patientsBaseline characteristicsMedical record systemTarget enrollmentImmunodeficiency virusObservational studyNational VAMedical clinicsInfectious diseasesDisease controlTelephone interviewsStudy designAlcohol useEnrollment targetsCareVeterans
2005
Relative prevalence of comorbidities and treatment contraindications in HIV-mono-infected and HIV/HCV-co-infected veterans
Goulet JL, Fultz SL, McGinnis KA, Justice AC. Relative prevalence of comorbidities and treatment contraindications in HIV-mono-infected and HIV/HCV-co-infected veterans. AIDS 2005, 19: s99-s105. PMID: 16251836, DOI: 10.1097/01.aids.0000192077.11067.e5.Peer-Reviewed Original ResearchConceptsHIV/HCV-coHepatitis C virusAlcohol-related complicationsComorbid conditionsHCV-coTreatment optionsHIV monoChart extractionDiagnostic codesMental disordersCo-infected patientsElectronic medical record systemTreatment contraindicationsMedical record systemC virusHigh prevalenceMedical disordersHIVDemographic dataComorbiditiesLogistic regressionPrevalenceModerate agreementRelative prevalenceVeterans