2023
Understanding headache classification coding within the veterans health administration using ICD-9-CM and ICD-10-CM in fiscal years 2014–2017
Fodeh S, Fenton B, Wang R, Skanderson M, Altalib H, Kuruvilla D, Schindler E, Haskell S, Brandt C, Sico J. Understanding headache classification coding within the veterans health administration using ICD-9-CM and ICD-10-CM in fiscal years 2014–2017. PLOS ONE 2023, 18: e0279163. PMID: 36598881, PMCID: PMC9812322, DOI: 10.1371/journal.pone.0279163.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationHeadache diagnosisICD-10-CMICD-10-CM diagnosisICD-10-CM codingSpecialty care clinicsSpecific headache diagnosesICD-9-CM codingDifferent headache typesICD-9-CMRace/ethnicityHeadache comorbidityHeadache NOSPatient ageCare clinicsChronic conditionsHeadache typesProvider typeSociodemographic factorsHealth AdministrationDiagnosisTwo yearsHeadachePatientsMigraine
2022
Characteristics and Gender Differences of Headache in the Veterans Health Administration
Sico JJ, Seng E, Wang K, Skanderson M, Schindler E, Ney JP, Lorenze N, Kimber A, Lindsey H, Grinberg AS, Kuruvilla D, Higgins D, Graham G, Sandbrink F, Scholten J, Shapiro RE, Lipton RB, Fenton B. Characteristics and Gender Differences of Headache in the Veterans Health Administration. Neurology 2022, 99: e1993-e2005. PMID: 36100437, PMCID: PMC9651459, DOI: 10.1212/wnl.0000000000200905.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationHeadache diagnosisHealthcare utilizationIncidence rateHeadache careHeadache typesHealth AdministrationSociodemographic characteristicsMilitary-related exposuresAge-adjusted incidenceEmergency department utilizationElectronic health record dataRetrospective cohort designType of headacheHigh incidence rateTraumatic brain injuryUnited States veteransHealth record dataPost-traumatic stress disorderGender differencesMilitary sexual traumaHeadache disordersBrain injuryHeadache specialistsCohort design
2019
Polysomnography Utilization in Veterans Presenting Acutely with Ischemic Stroke or Transient Ischemic Attack
Koo BB, Sico JJ, Myers LJ, Perkins AJ, Levine D, Miech EJ, Damush TM, Rattray N, Homoya B, Ferguson J, Myers J, Zhang Y, Bravata DM. Polysomnography Utilization in Veterans Presenting Acutely with Ischemic Stroke or Transient Ischemic Attack. Cerebrovascular Diseases 2019, 48: 179-183. PMID: 31722335, DOI: 10.1159/000504406.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overBrain IschemiaComorbidityFemaleHealth Services AccessibilityHealth StatusHumansIschemic Attack, TransientMaleMiddle AgedPolysomnographyPractice Guidelines as TopicPractice Patterns, Physicians'Predictive Value of TestsPrognosisRisk FactorsSleep Apnea, ObstructiveStrokeTime FactorsUnited StatesUnited States Department of Veterans AffairsVeterans HealthConceptsTransient ischemic attackAcute ischemic strokeObstructive sleep apneaVeterans Administration Medical CenterTreatment of OSAIschemic strokeIschemic attackClinical dataExact testVA Corporate Data WarehouseCerebrovascular risk factorsMixed-effects logistic regressionFisher's exact testCorporate Data WarehouseEffects logistic regressionTwo-sample t-testAcute strokeClinical characteristicsHospital dischargeHeart failureSleep apneaFunctional outcomeRisk factorsUS veteransRecent guidelines
2018
Association between admission haematocrit and mortality among men with acute ischaemic stroke
Sico JJ, Myers LJ, Fenton BJ, Concato J, Williams LS, Bravata DM. Association between admission haematocrit and mortality among men with acute ischaemic stroke. Stroke And Vascular Neurology 2018, 3: 160. PMID: 30294472, PMCID: PMC6169611, DOI: 10.1136/svn-2018-000149.Peer-Reviewed Original ResearchConceptsAcute ischemic strokeIschemic strokeAdmission haematocritAdjusted ORsChronic Health Evaluation IIIVeterans Health Administration facilitiesFirst year post strokeHours of admissionRisk of deathHaematocrit valuesMultivariate logistic regressionYear post strokeAcute PhysiologyHospital mortalityMedical comorbiditiesPoststroke mortalityStroke severityBlood transfusionSevere anemiaPost strokeHeart diseaseMedical recordsPatient outcomesCardiovascular conditionsPatients
2011
Validating Smoking Data From the Veteran’s Affairs Health Factors Dataset, an Electronic Data Source
McGinnis KA, Brandt CA, Skanderson M, Justice AC, Shahrir S, Butt AA, Brown ST, Freiberg MS, Gibert CL, Goetz MB, Kim JW, Pisani MA, Rimland D, Rodriguez-Barradas MC, Sico JJ, Tindle HA, Crothers K. Validating Smoking Data From the Veteran’s Affairs Health Factors Dataset, an Electronic Data Source. Nicotine & Tobacco Research 2011, 13: 1233-1239. PMID: 21911825, PMCID: PMC3223583, DOI: 10.1093/ntr/ntr206.Peer-Reviewed Original ResearchConceptsSmoking statusHealth factorsSmoking dataKappa statisticsSmoking variablesVeterans Aging Cohort StudyAging Cohort StudySelf-reported smoking dataCohort studyCurrent smokersSmoking interventionsVirtual cohortElectronic data sourcesEMR dataFuture studiesStatusParticipantsFactorsHIVSmokersSmokingStudy surveyCohort