Featured Publications
Continuing the transformation: charting the path for the future delivery of Veteran emergency care
Ward M, Kessler C, Abel E, Ahern J, Bravata D. Continuing the transformation: charting the path for the future delivery of Veteran emergency care. Academic Emergency Medicine 2023, 30: 232-239. PMID: 36692104, PMCID: PMC11135051, DOI: 10.1111/acem.14670.Peer-Reviewed Original ResearchMeSH KeywordsAgedEmergency Service, HospitalEvidence GapsHealth Services ResearchHumansUnited StatesUnited States Department of Veterans AffairsVeteransConceptsEmergency medicineEmergency careVeterans Affairs emergency departmentEmergency care visitsUrgent care clinicVA Health Services ResearchVeterans' health careQuality of careHealth services researchCare visitsCare clinicsEmergency departmentCare sitesCare locationsVA OfficeMental healthPriority groupsHealth careCareKey research prioritiesVeteransServices researchVisitsArt ConferenceMedicineDual 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 ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMental HealthMiddle AgedPatient PortalsRetrospective StudiesTelemedicineUnited StatesUnited States Department of Veterans AffairsVeterans HealthVideoconferencingYoung AdultConceptsMental 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 oddsTeam-Based Telecare for Bipolar Disorder
Bauer MS, Krawczyk L, Miller CJ, Abel E, Osser DN, Franz A, Brandt C, Rooney M, Fleming J, Godleski L. Team-Based Telecare for Bipolar Disorder. Telemedicine Journal And E-Health 2016, 22: 855-864. PMID: 26906927, DOI: 10.1089/tmj.2015.0255.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBipolar DisorderCooperative BehaviorFemaleHumansMaleMiddle AgedPatient Care TeamProgram EvaluationQuality Indicators, Health CareTelemedicineUnited StatesUnited States Department of Veterans AffairsVideoconferencingConceptsMental health conditionsBipolar disorderCollaborative careCare modelClinical practiceCollaborative chronic care modelComorbid post-traumatic stress disorderPatient safetyHealth conditionsChronic Care ModelCollaborative care modelCollaborative care programSerum level monitoringClinical videoconferencingSerious mental health conditionsQuality of carePost-traumatic stress disorderEvidence of compromisePrazosin useAntidepressant useClinical indicesLithium useSpecialty providersClinical impactCare assessmentResearch and policy recommendations from the SOTA XVI: State of the Art Conference on VA Emergency Medicine
Ward M, Hwang U, Hastings S, Timko C, Chen J, Vashi A, Mattocks K, Abel E, Bravata D. Research and policy recommendations from the SOTA XVI: State of the Art Conference on VA Emergency Medicine. Academic Emergency Medicine 2023, 30: 240-251. PMID: 36775279, PMCID: PMC11166248, DOI: 10.1111/acem.14679.Peer-Reviewed Original ResearchMeSH KeywordsAgedHealth Services ResearchHumansPatient TransferPolicyUnited StatesUnited States Department of Veterans AffairsVeteransConceptsMental health needsEmergency careOlder veteransHealth needsEmergency Department Care TransitionsCommunity settingsVeterans Affairs Health Services ResearchFollow-up needsGeriatric assessment toolsEmergency medicineCommunity care settingsCare Improvement (BPCI) initiativeNon-VA sourcesSuicide prevention interventionsSubstance use disordersUse of telehealthHealth services researchEvaluation of interventionsEmergency cliniciansCare transitionsCare coordinationPatient outcomesArt ConferenceCare settingsPrevention interventions
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 ResearchMeSH KeywordsAdultAgedCross-Sectional StudiesElectronic Health RecordsFemaleHumansMaleMiddle AgedPopulation DynamicsUnited StatesUnited States Department of Veterans AffairsVeteransConceptsVeterans 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
2021
Sex Differences in Use of a Clinical Complexity Measure to Predict Primary Care Utilization
Haskell SG, Han L, Abel EA, Bastian L, Driscoll M, Dziura J, Burg MM, Skanderson M, Brandt CA. Sex Differences in Use of a Clinical Complexity Measure to Predict Primary Care Utilization. Journal Of Women's Health 2021, 31: 71-78. PMID: 34388023, DOI: 10.1089/jwh.2021.0103.Peer-Reviewed Original ResearchMeSH KeywordsCohort StudiesFemaleHumansMalePrimary Health CareSex CharacteristicsSex FactorsUnited StatesUnited States Department of Veterans AffairsVeteransConceptsPrimary care utilizationCare utilizationWomen veteransCare Assessment Need (CAN) scoreComplex high-risk patientsHigh-risk patientsRisk stratification toolPotential confounding factorsCorporate Data WarehouseSex differencesVA careVisit utilizationCare coordinationHigher oddsReproductive healthConfounding factorsVeterans AffairsPsychosocial variablesStrong associationQuintileWomenNeed scoresMenVeteransGood predictive accuracy
2017
Implementing and Sustaining Team-Based Telecare for Bipolar Disorder: Lessons Learned from a Model-Guided, Mixed Methods Analysis
Bauer MS, Krawczyk L, Tuozzo K, Frigand C, Holmes S, Miller CJ, Abel E, Osser DN, Franz A, Brandt C, Rooney M, Fleming J, Smith E, Godleski L. Implementing and Sustaining Team-Based Telecare for Bipolar Disorder: Lessons Learned from a Model-Guided, Mixed Methods Analysis. Telemedicine Journal And E-Health 2017, 24: 45-53. PMID: 28665773, DOI: 10.1089/tmj.2017.0017.Peer-Reviewed Original ResearchConceptsBipolar disorderHealth Services implementation frameworkComplex mental health conditionsCollaborative care interventionCollaborative care modelIntegrated Promoting ActionTelemental health interventionsMental health conditionsMixed-methods program evaluationElectronic health recordsSite-based analysisClinical trialsCare interventionsCare modelClinical conditionsPromoting ActionHealth interventionsVeterans AffairsHealth conditionsHealth recordsInterventionConsultsFirst yearKey facilitatorsDisorders
2016
Estimating 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 periodPain research using Veterans Health Administration electronic and administrative data sources
Abel EA, Brandt CA, Czlapinski R, Goulet JL. Pain research using Veterans Health Administration electronic and administrative data sources. The Journal Of Rehabilitation Research And Development 2016, 53: 1-12. PMID: 27005814, DOI: 10.1682/jrrd.2014.10.0246.Peer-Reviewed Original ResearchMeSH KeywordsElectronic Health RecordsHealth Services ResearchHumansPain ManagementUnited StatesUnited States Department of Veterans AffairsVeteransVeterans HealthConceptsPain researchPharmacy dataOutcomes of painVeterans Health AdministrationElectronic health record data sourcesHealth services researchersEHR data sourcesAcute painNRS scoresRevision codesVHA careInternational ClassificationAdministrative data sourcesScale scoreHealth AdministrationPain researchersPainEHR dataAnonymous surveyServices researchersPeer-reviewed articlesScoresCurrent practiceChronicPrevalence
2014
Personal Health Record Reach in the Veterans Health Administration: A Cross-Sectional Analysis
Shimada SL, Brandt CA, Feng H, McInnes DK, Rao SR, Rothendler JA, Haggstrom DA, Abel EA, Cioffari LS, Houston TK. Personal Health Record Reach in the Veterans Health Administration: A Cross-Sectional Analysis. Journal Of Medical Internet Research 2014, 16: e272. PMID: 25498515, PMCID: PMC4275468, DOI: 10.2196/jmir.3751.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCross-Sectional StudiesElectronic Health RecordsFemaleHealth Records, PersonalHealth StatusHumansLogistic ModelsMaleMiddle AgedSelf CareUnited StatesUnited States Department of Veterans AffairsVeteransVeterans HealthConceptsVeterans Health AdministrationSchizophrenia/schizoaffective disorderPersonal health recordsCross-sectional analysisHealth recordsClinical conditionsSchizoaffective disorderHealth AdministrationHealth statusSociodemographic characteristicsUnited States Veterans Health AdministrationMultivariable logistic regression modelFacility-level differencesPatients' sociodemographic characteristicsTethered personal health recordClustering of patientsSpinal cord injurySpecific clinical conditionsTraumatic brain injuryPatients' health statusSpecific medical conditionsLogistic regression modelsOutpatient visitsCord injuryInpatient admissions