2024
The association of pain screening and pain level with suicide among US veterans with comorbid musculoskeletal and bipolar disorder diagnoses
Abel E, Travaglini L, Snow J, Goulet J. The association of pain screening and pain level with suicide among US veterans with comorbid musculoskeletal and bipolar disorder diagnoses. Journal Of Affective Disorders 2024, 369: 429-435. PMID: 39389110, DOI: 10.1016/j.jad.2024.10.028.Peer-Reviewed Original ResearchVeterans Health AdministrationBipolar disorder diagnosisPain screeningPain severity ratingsMusculoskeletal disordersSuicide mortalityPain severityRelative risk of suicideDisorder diagnosisVHA databaseMusculoskeletal disorder diagnosisSuicide riskActual medication useAssociation of painSuicide prevention effortsRisk of suicideHighest suicide ratesHigher suicide riskSuicide risk factorsRetrospective cohort studySubstance use disordersHealth AdministrationPain diagnosisPoisson regressionUS veteransLeveraging 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
Association between early nonpharmacological management and follow-up for low back pain in the veterans health administration
Coleman B, Lisi A, Abel E, Runels T, Goulet J. Association between early nonpharmacological management and follow-up for low back pain in the veterans health administration. North American Spine Society Journal (NASSJ) 2023, 14: 100233. PMID: 37440983, PMCID: PMC10333712, DOI: 10.1016/j.xnsj.2023.100233.Peer-Reviewed Original ResearchLow back painNonpharmacologic managementBack painVeterans Health Administration patientsFirst yearCommon reasons individualsObservational cohort studyProportional hazards regressionElectronic health record dataVeterans Health AdministrationPositive clinical outcomesHealth record dataDay of entryClinical covariablesCohort studyClinical outcomesNonpharmacological managementHazards regressionHealth cohortPatient groupPrimary interventionStudy populationBackground LowHealth AdministrationPatients
2016
Pain 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 ResearchConceptsPain 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