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
2023
Validation of Electronic Health Record-Based Algorithms to Identify Specialist Palliative Care Within the Department of Veterans Affairs
Feder S, Zhan Y, Abel E, Smith D, Ersek M, Fried T, Redeker N, Akgün K. Validation of Electronic Health Record-Based Algorithms to Identify Specialist Palliative Care Within the Department of Veterans Affairs. Journal Of Pain And Symptom Management 2023, 66: e475-e483. PMID: 37364737, PMCID: PMC10527602, DOI: 10.1016/j.jpainsymman.2023.06.023.Peer-Reviewed Original ResearchMeSH KeywordsAgedAlgorithmsDatabases, FactualElectronic Health RecordsFemaleHumansInternational Classification of DiseasesMalePalliative CareVeteransConceptsSpecialist palliative careInpatient encountersCurrent Procedural TerminologyPalliative careICD-9/ICDICD-9/10 codesCohort of peopleVeterans Affairs facilitiesStop codeNegative predictive valueElectronic health recordsChart reviewHeart failureAdministrative databasesSpecific clinicPredictive valueICD codesProcedural TerminologyVeterans AffairsOutpatientsHealth recordsAdministrative dataReference standardCareConsultation
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 ResearchConceptsVeterans 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