2024
Leveraging Electronic Health Records to Assess Residential Mobility Among Veterans in the Veterans Health Administration
Wang K, Hendrickson Z, Miller M, Abel E, Skanderson M, Erdos J, Womack J, Brandt C, Desai M, Han L. Leveraging Electronic Health Records to Assess Residential Mobility Among Veterans in the Veterans Health Administration. Medical Care 2024, 62: 458-463. PMID: 38848139, DOI: 10.1097/mlr.0000000000002017.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationElectronic health recordsResidential addressesHealth recordsHealth AdministrationLeveraging electronic health recordsInfluence health care utilizationVeterans Health Administration dataAssociations of sociodemographicsHealth care utilizationHealth care systemPatient's residential addressCross-sectional analysisGeneralized logistic regressionCare utilizationHealth systemResidential mobilitySubstance use disordersCare systemPatient's residenceLogistic regressionVeteransMultinomial outcomesHealthOdds
2023
Enhanced Identification of Hispanic Ethnicity Using Clinical Data
Ochoa-Allemant P, Tate J, Williams E, Gordon K, Marconi V, Bensley K, Rentsch C, Wang K, Taddei T, Justice A, Cohorts F. Enhanced Identification of Hispanic Ethnicity Using Clinical Data. Medical Care 2023, 61: 200-205. PMID: 36893404, PMCID: PMC10114212, DOI: 10.1097/mlr.0000000000001824.Peer-Reviewed Original ResearchConceptsBurden of diseaseHispanic patientsCountry of birthClinical dataHispanic ethnicityNon-Hispanic white patientsSex-adjusted prevalenceChronic liver diseaseHuman immunodeficiency virusDemographic characteristicsElectronic health record dataHealth careHealth record dataPrevalence of conditionsUS health care systemMedicare administrative dataHealth care systemWhite patientsLiver diseaseImmunodeficiency virusSelf-reported ethnicityHigh prevalenceGastric cancerHepatocellular carcinomaVeteran population
2019
Measuring Exposure to Incarceration Using the Electronic Health Record
Wang EA, Long JB, McGinnis KA, Wang KH, Wildeman CJ, Kim C, Bucklen KB, Fiellin DA, Bates J, Brandt C, Justice AC. Measuring Exposure to Incarceration Using the Electronic Health Record. Medical Care 2019, 57: s157-s163. PMID: 31095055, PMCID: PMC8352066, DOI: 10.1097/mlr.0000000000001049.Peer-Reviewed Original ResearchMeSH KeywordsAdministrative Claims, HealthcareAdultCohort StudiesElectronic Health RecordsEthnicityFemaleHumansInformation Storage and RetrievalMaleMedicareMiddle AgedNatural Language ProcessingPrisonersSelf ReportSensitivity and SpecificityUnited StatesUnited States Department of Veterans AffairsVeteransConceptsVeterans Aging Cohort StudyElectronic health recordsHuman immunodeficiency virus-infected patientsVHA electronic health recordsNational observational cohortVirus-infected patientsHealth recordsAging Cohort StudyEHR dataHealth care disparitiesAdministrative dataRace/ethnicityIncarceration exposureObservational cohortUninfected patientsCohort studySpecificity 99.3DATA SOURCESCare disparitiesSpecificity 100Specificity 98.9Social determinantsMedicaid ServicesSpecificity 95.9Health information
2018
Dual Use of a Patient Portal and Clinical Video Telehealth by Veterans with Mental Health Diagnoses: Retrospective, Cross-Sectional Analysis
Abel EA, Shimada SL, Wang K, Ramsey C, Skanderson M, Erdos J, Godleski L, Houston TK, Brandt CA. Dual Use of a Patient Portal and Clinical Video Telehealth by Veterans with Mental Health Diagnoses: Retrospective, Cross-Sectional Analysis. Journal Of Medical Internet Research 2018, 20: e11350. PMID: 30404771, PMCID: PMC6249500, DOI: 10.2196/11350.Peer-Reviewed Original ResearchConceptsMental health diagnosesClinical video telehealthMore mental health diagnosesVeterans Health AdministrationVideo telehealthDual usersCross-sectional analysisHealth diagnosisVHA usersPersonal health recordsLow-income patientsMultivariate logistic regressionMental health careUsersOverall cohortUrban patientsWhite patientsRural patientsLatino patientsHealth recordsVulnerable patientsSociodemographic disparitiesHealtheVetDual useLower oddsQuality Of Breast Cancer Care In The US Territories: Insights From Medicare
Layne TM, Aminawung JA, Soulos PR, Nunez-Smith M, Nunez MA, Jones BA, Wang KH, Gross CP. Quality Of Breast Cancer Care In The US Territories: Insights From Medicare. Health Affairs 2018, 37: 421-428. PMID: 29505365, PMCID: PMC7081152, DOI: 10.1377/hlthaff.2017.1045.Peer-Reviewed Original Research
2016
Incidence of Mental Health Diagnoses in Veterans of Operations Iraqi Freedom, Enduring Freedom, and New Dawn, 2001-2014.
Ramsey C, Dziura J, Justice AC, Altalib HH, Bathulapalli H, Burg M, Decker S, Driscoll M, Goulet J, Haskell S, Kulas J, Wang KH, Mattocks K, Brandt C. Incidence of Mental Health Diagnoses in Veterans of Operations Iraqi Freedom, Enduring Freedom, and New Dawn, 2001-2014. American Journal Of Public Health 2016, 107: 329-335. PMID: 27997229, PMCID: PMC5227942, DOI: 10.2105/ajph.2016.303574.Peer-Reviewed Original ResearchConceptsMental health diagnosesMajor depressive disorderPosttraumatic stress disorderHealth diagnosisIncidence rateDrug use disorder diagnosisIncident posttraumatic stress disorderOperation Iraqi FreedomAge 18Veterans Health Administration electronic health recordsDisorder diagnosisIncident bipolar disorderHigh-risk groupSociodemographic risk factorsAlcohol use disorder diagnosisMental health conditionsEnduring FreedomIraqi FreedomRace/ethnicityElectronic health recordsIncident schizophreniaRisk factorsDepressive disorderAge 45MDD diagnosisEstimating healthcare mobility in the Veterans Affairs Healthcare System
Wang KH, Goulet JL, Carroll CM, Skanderson M, Fodeh S, Erdos J, Womack JA, Abel EA, Bathulapalli H, Justice AC, Nunez-Smith M, Brandt CA. Estimating healthcare mobility in the Veterans Affairs Healthcare System. BMC Health Services Research 2016, 16: 609. PMID: 27769221, PMCID: PMC5075153, DOI: 10.1186/s12913-016-1841-4.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overDelivery of Health CareElectronic Health RecordsEmigration and ImmigrationFemaleHospitals, VeteransHumansMaleMental DisordersMiddle AgedPatient Acceptance of Health CareRetrospective StudiesUnited StatesUnited States Department of Veterans AffairsVeteransVeterans HealthYoung AdultConceptsHealthcare systemVeterans Health Administration electronic health recordsVeterans Affairs Healthcare SystemHealthcare mobilityRetrospective cohort studyHepatitis C virusOutcomes of careDifferent healthcare systemsDistinct healthcare systemsElectronic health recordsClinical characteristicsCohort studyHealthcare utilizationC virusSpecialty carePsychiatric disordersYounger veteransDisease preventionYounger agePopulation healthHealth recordsVeteransStatus changesCareYear period
2015
Alcohol-Related Diagnoses and All-Cause Hospitalization Among HIV-Infected and Uninfected Patients: A Longitudinal Analysis of United States Veterans from 1997 to 2011
Rentsch C, Tate JP, Akgün KM, Crystal S, Wang KH, Ryan Greysen S, Wang EA, Bryant KJ, Fiellin DA, Justice AC, Rimland D. Alcohol-Related Diagnoses and All-Cause Hospitalization Among HIV-Infected and Uninfected Patients: A Longitudinal Analysis of United States Veterans from 1997 to 2011. AIDS And Behavior 2015, 20: 555-564. PMID: 25711299, PMCID: PMC4550577, DOI: 10.1007/s10461-015-1025-y.Peer-Reviewed Original ResearchConceptsAlcohol-related diagnosesHospitalization ratesUnited States veteransUninfected patientsCause hospitalizationHIV infectionStates veteransUninfected individualsMultivariable Cox proportional hazards modelsCox proportional hazards modelOverall hospitalization rateProportional hazards modelCancer admissionsAntiretroviral therapyMultivariable adjustmentHIV serostatusComorbidity variablesHospitalization trendsRelative riskHigh riskHazards modelHIVHospitalizationDisease categoriesPatientsIncarceration and health outcomes in HIV‐infected patients: The impact of substance use, primary care engagement, and antiretroviral adherence
Wang EA, McGinnis KA, Long JB, Akgün KM, Edelman EJ, Rimland D, Wang KH, Justice AC, Fiellin DA. Incarceration and health outcomes in HIV‐infected patients: The impact of substance use, primary care engagement, and antiretroviral adherence. American Journal On Addictions 2015, 24: 178-184. PMID: 25662297, PMCID: PMC4397180, DOI: 10.1111/ajad.12177.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyHistory of incarcerationHIV disease outcomeVACS Index scorePrimary care engagementAntiretroviral adherenceCare engagementDisease outcomeIndex scoreDrug useHigher VACS Index scoresHealth of HIVAging Cohort StudyUnhealthy alcohol useViral RNA loadRecent drug useLow CD4Cohort studyRNA loadDrug treatmentHIVHealth outcomesMultivariate analysisMediation analysisPatients
2014
Source of prescription drugs used nonmedically in rural and urban populations
Wang KH, Fiellin DA, Becker WC. Source of prescription drugs used nonmedically in rural and urban populations. The American Journal Of Drug And Alcohol Abuse 2014, 40: 292-303. PMID: 24853143, DOI: 10.3109/00952990.2014.907301.Peer-Reviewed Original ResearchConceptsNon-physician sourcesPrescription drugsNonmedical usePhysician sourcesPrescription drug dependenceRural residentsUnintentional overdose deathsPublic health approachHealth 2008Prescription medicationsClinical correlatesOverdose deathsDrug useDrug dependenceHealth approachDrugsMultivariate associationsInsured individualsNational surveyRural individualsUrban residentsPrescriptionResidentsUrban settingsMedications
2012
Antiretroviral Adherence Among Rural Compared to Urban Veterans with HIV Infection in the United States
Ohl ME, Perencevich E, McInnes DK, Kim N, Rimland D, Akgun K, Fiellin DA, Skanderson M, Wang K, Justice A. Antiretroviral Adherence Among Rural Compared to Urban Veterans with HIV Infection in the United States. AIDS And Behavior 2012, 17: 174-180. PMID: 23080359, DOI: 10.1007/s10461-012-0325-8.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnti-Retroviral AgentsConfidence IntervalsFemaleFollow-Up StudiesHIV InfectionsHumansLogistic ModelsMaleMedication AdherenceMiddle AgedOdds RatioResidence CharacteristicsRetrospective StudiesRural PopulationSocioeconomic FactorsUnited StatesUnited States Department of Veterans AffairsUrban PopulationVeteransConceptsRural-dwelling personsAntiretroviral therapyAntiretroviral adherenceUrban veteransRural-Urban Commuting Area codesVeterans Affairs Healthcare SystemCombination antiretroviral therapyHepatitis C infectionMultivariable logistic regressionSubstance use disordersC infectionHIV infectionRemote residentsHigh adherenceWhite raceVA healthcareUse disordersMedian proportionLogistic regressionAdherenceHealthcare systemRemote settingsTherapyInfectionFace barriers
2011
State Variation in AIDS Drug Assistance Program Prescription Drug Coverage for Modifiable Cardiovascular Risk Factors
Blackstock OJ, Wang KH, Fiellin DA. State Variation in AIDS Drug Assistance Program Prescription Drug Coverage for Modifiable Cardiovascular Risk Factors. Journal Of General Internal Medicine 2011, 26: 1426-1433. PMID: 21837376, PMCID: PMC3235612, DOI: 10.1007/s11606-011-1807-5.Peer-Reviewed Original ResearchConceptsCardiovascular risk factorsType 2 diabetesFirst-line drugsRisk factorsModifiable cardiovascular risk factorsNon-HIV medicationsNicotine replacement therapyStandard of careDrug Assistance ProgramsDesignCross-sectional surveyLifespan of HIVPrescription drug coverageState ADAPsReplacement therapySmoking cessationClinical guidelinesCardiovascular diseaseTreatment coverageDrug coverageHypertensionHyperlipidemiaPrescription drugsHIVDiabetesCessation