2024
Trends in Opioid Use Disorder in the Veterans Health Administration, 2005-2022
Gorfinkel L, Malte C, Fink D, Mannes Z, Wall M, Olfson M, Livne O, Keyhani S, Keyes K, Martins S, Cerdá M, Gutkind S, Maynard C, Saxon A, Simpson T, Gonsalves G, Lu H, McDowell Y, Hasin D. Trends in Opioid Use Disorder in the Veterans Health Administration, 2005-2022. JAMA Network Open 2024, 7: e2451821. PMID: 39705031, PMCID: PMC11662256, DOI: 10.1001/jamanetworkopen.2024.51821.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationOpioid use disorder diagnosisNon-Hispanic white patientsOpioid use disorderPrevalence of opioid use disorderCross-sectional studyHealth AdministrationVHA Corporate Data WarehouseVeterans Health Administration facilitiesElectronic health record dataNational Veterans Health AdministrationVeterans Health Administration patientsRecord dataNon-Hispanic Black patientsElectronic medical record dataContinued public health effortsWhite patientsHealth record dataPublic health effortsCorporate Data WarehouseMedical record dataMultivariate logistic regression modelUse disorderLogistic regression modelsBurden of opioid use disorderOpen Burn Pit Exposure in Headache Disorder and Migraine
Sico J, Anthony S, Phadke M, Wang K, Skanderson M, Ney J, Seng E, Shapiro R, Sandbrink F, Scholten J, Graham G, Martini S, Fenton B. Open Burn Pit Exposure in Headache Disorder and Migraine. JAMA Network Open 2024, 7: e2431522. PMID: 39230902, PMCID: PMC11375476, DOI: 10.1001/jamanetworkopen.2024.31522.Peer-Reviewed Original ResearchConceptsBurn pit exposureVeterans Health Administration electronic health recordPit exposureHeadache disordersAdministration electronic health recordAnalytic sampleVeterans Health Administration facilitiesBurn pitsCohort studyVeterans Health AdministrationElectronic health recordsDose-dependent associationUS DepartmentHealth recordsRegistry participantsMilitary exposuresRetrospective cohort studyHealth AdministrationMain OutcomesHealth conditionsAdministration facilitiesRegistry questionnaireHighest quartilesIncident outcomesVeteransImplementation and Impact of Intimate Partner Violence Screening Expansion in the Veterans Health Administration: Protocol for a Mixed Methods Evaluation
Portnoy G, Relyea M, Dichter M, Iverson K, Presseau C, Brandt C, Skanderson M, Bruce L, Martino S. Implementation and Impact of Intimate Partner Violence Screening Expansion in the Veterans Health Administration: Protocol for a Mixed Methods Evaluation. JMIR Research Protocols 2024, 13: e59918. PMID: 39194059, PMCID: PMC11391160, DOI: 10.2196/59918.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationImpact of screeningINTERNATIONAL REGISTERED REPORT IDENTIFIERHealth care systemIntimate partner violenceIPV screeningQualitative interviewsCare systemHealth AdministrationConsolidated Framework for Implementation ResearchVeterans Health Administration facilitiesElectronic health record dataIntimate partner violence screeningMixed methods evaluationHealth record dataNational health care systemLongitudinal observational designPotential implementation barriersSignificant public health problemMen's health careClinical practice implicationsPatient populationMethod evaluationRE-AIMPublic health problemPostoperative Outcomes Associated with the Timing of Surgery After SARS-CoV-2 Infection
Leeds I, Park L, Akgun K, Weintrob A, Justice A, King J. Postoperative Outcomes Associated with the Timing of Surgery After SARS-CoV-2 Infection. Annals Of Surgery 2024, 280: 241-247. PMID: 38323413, DOI: 10.1097/sla.0000000000006227.Peer-Reviewed Original ResearchIncreased 90-day mortalitySARS-CoV-2 infectionDays of infectionPostoperative outcomesSARS-CoV-2Increased post-operative mortalityPositive testRetrospective cohort of patientsUS Veterans Health Administration facilitiesVeterans Health Administration facilitiesPost-operative mortalityMultivariate modelTime of surgeryAdverse surgical outcomesCohort of patientsMultivariate logistic regression modelSurgical procedure groupsSARS-CoV-2 positive testDeferred surgeryPrimary endpointSurgery intervalSurgical outcomesSurgical cohortUninfected patientsASA 4
2023
Addressing Veteran Health-Related Social Needs: How Joint Commission Standards Accelerated Integration and Expansion of Tools and Services in the Veterans Health Administration
List J, Russell L, Hausmann L, Groves K, Kligler B, Koget J, Moy E, Clancy C. Addressing Veteran Health-Related Social Needs: How Joint Commission Standards Accelerated Integration and Expansion of Tools and Services in the Veterans Health Administration. The Joint Commission Journal On Quality And Patient Safety 2023, 50: 34-40. PMID: 37923670, DOI: 10.1016/j.jcjq.2023.10.002.Peer-Reviewed Original ResearchConceptsHealth-related social needsVeterans Health AdministrationHealth care disparitiesReduce health care disparitiesHealth care equityCare disparitiesJoint Commission standardsCare equityReduction of health care disparitiesHealth AdministrationVeterans Health Administration experienceVeterans Health Administration facilitiesImproving health care equityCare delivery approachesIntegrated health systemQuality improvement opportunitiesHealth care systemSocial needsCommission standardsHealth systemCare systemJoint CommissionTechnical assistance activitiesDissemination strategiesSafety prioritiesCo-occurring Medical Multimorbidity, Mental Illness, and Substance Use Disorders Among Older Criminal Legal System-Involved Veterans
Han B, Bronson J, Washington L, Yu M, Kelton K, Tsai J, Finlay A. Co-occurring Medical Multimorbidity, Mental Illness, and Substance Use Disorders Among Older Criminal Legal System-Involved Veterans. Medical Care 2023, 61: 477-483. PMID: 37204150, PMCID: PMC10330246, DOI: 10.1097/mlr.0000000000001864.Peer-Reviewed Original ResearchConceptsMedical multimorbidityMental illnessOlder veteransCLS involvementCo-occurring mental illnessVeterans Health Administration facilitiesMultivariable logistic regression modelConcurrent mental illnessPatterns of multimorbidityDisease-specific carePoor health outcomesSubstance use disordersLogistic regression modelsHigh prevalenceHigh riskLow prevalenceMultimorbidityAppropriate careUse disordersHealth outcomesIllnessAdministration facilitiesPrevalenceHealth recordsVeteransIntegrating Intimate Partner Violence Screening Programs in Primary Care: Results from a Hybrid-II Implementation-Effectiveness RCT
Iverson K, Stolzmann K, Brady J, Adjognon O, Dichter M, Lew R, Gerber M, Portnoy G, Iqbal S, Haskell S, Bruce L, Miller C. Integrating Intimate Partner Violence Screening Programs in Primary Care: Results from a Hybrid-II Implementation-Effectiveness RCT. American Journal Of Preventive Medicine 2023, 65: 251-260. PMID: 37031032, PMCID: PMC10568536, DOI: 10.1016/j.amepre.2023.02.013.Peer-Reviewed Original ResearchConceptsIntimate partner violence screening programsVeterans Health AdministrationImplementation facilitationPrimary careEligible womenSecondary outcomesPrimary outcomeScreening programHealth AdministrationVeterans Health Administration facilitiesClinic 3 monthsClinical effectiveness outcomesPsychosocial service useImplementation-effectiveness trialDisclosure ratesIPV detectionPatient populationEffectiveness outcomesService usePsychosocial servicesAdministration facilitiesWomenCareMonthsOutcomes
2022
Characteristics Associated with Spirometry Guideline Adherence in VA Patients Hospitalized with Chronic Obstructive Pulmonary Disease
Rodwin BA, DeRycke EC, Han L, Bade BC, Brandt CA, Bastian LA, Akgün KM. Characteristics Associated with Spirometry Guideline Adherence in VA Patients Hospitalized with Chronic Obstructive Pulmonary Disease. Journal Of General Internal Medicine 2022, 38: 619-626. PMID: 36241942, PMCID: PMC9971396, DOI: 10.1007/s11606-022-07826-5.Peer-Reviewed Original ResearchConceptsChronic obstructive pulmonary diseaseHigh-risk COPD patientsObstructive pulmonary diseaseAnnual spirometryCOPD patientsClinic visitsPulmonary diseaseChronic obstructive lung diseaseVeterans Health Administration facilitiesPost-hospitalization careGuideline-concordant careObstructive lung diseaseYear of hospitalizationCorporate Data WarehouseProvider-level dataPulmonary clinicGuideline adherencePatient demographicsConcordant careCOPD hospitalizationsPrimary outcomeVA patientsLung diseaseProvider variablesProvider ageTelehealth perceptions and utilization for the delivery of headache care before and during the COVID‐19 pandemic: A mixed‐methods study
Grinberg AS, Fenton BT, Wang K, Lindsey H, Goldman RE, Baird S, Riley S, Burrone L, Seng EK, Damush TM, Sico JJ. Telehealth perceptions and utilization for the delivery of headache care before and during the COVID‐19 pandemic: A mixed‐methods study. Headache The Journal Of Head And Face Pain 2022, 62: 613-623. PMID: 35545754, PMCID: PMC9348149, DOI: 10.1111/head.14310.Peer-Reviewed Original ResearchConceptsVeterans Health Administration facilitiesTelehealth deliveryHeadache centerHeadache careAdministration facilitiesCoronavirus disease 2019 (COVID-19) pandemicUtilization of telehealthDisease 2019 pandemicRace/ethnicityPatient ageTelephone visitsPerson appointmentsTelehealth visitsOutpatient visitsPatient groupPatient preferencesHeadache disordersPerson visitsHeadache treatmentMultiple delivery methodsPatientsPatient engagementProviders' perceptionsHeadache servicesPatient access
2021
Factors Associated With Quitting Smoking During Pregnancy Among Women Veterans
Kroll-Desrosiers A, Holzhauer CG, Russo L, DeRycke EC, Kinney RL, Bastian LA, Mattocks KM. Factors Associated With Quitting Smoking During Pregnancy Among Women Veterans. Women's Health Issues 2021, 31: 408-413. PMID: 34049763, PMCID: PMC11409577, DOI: 10.1016/j.whi.2021.04.006.Peer-Reviewed Original ResearchConceptsRates of smokingHousehold smokersPregnant veteransFirst pregnancyRelative riskWomen veteransVeterans Health Administration facilitiesStart of pregnancyPrenatal care initiationHistory of deploymentGroup of womenPoisson regression modelsHispanics/LatinosCohort studyCare initiationPersistent smokingPrenatal careQuitting smokingMultivariable modelSmokingPregnancyAverage ageSuch counselingAdministration facilitiesSmokersDeintensification or No Statin Treatment Is Associated With Higher Mortality in Patients With Ischemic Stroke or Transient Ischemic Attack
Dearborn-Tomazos JL, Hu X, Bravata DM, Phadke MA, Baye FM, Myers LJ, Concato J, Zillich AJ, Reeves MJ, Sico JJ. Deintensification or No Statin Treatment Is Associated With Higher Mortality in Patients With Ischemic Stroke or Transient Ischemic Attack. Stroke 2021, 52: 2521-2529. PMID: 34015937, DOI: 10.1161/strokeaha.120.030089.Peer-Reviewed Original ResearchConceptsTransient ischemic attackIschemic strokeIschemic attackHospital dischargeHospital admissionHigh mortalityVeterans Health Administration facilitiesHigh-potency statinsUnderutilization of statinsHigh potencyStatin doseStatin medicationBaseline characteristicsMost patientsPrescribed statinsStatin treatmentPharmacy filesStatin potencyAtherosclerotic originUS veteransPractice guidelinesStudy populationHigher oddsPatientsStatins
2020
Demographic Correlates of Veterans’ Adverse Social Determinants of Health
Montgomery AE, Tsai J, Blosnich JR. Demographic Correlates of Veterans’ Adverse Social Determinants of Health. American Journal Of Preventive Medicine 2020, 59: 828-836. PMID: 33220754, DOI: 10.1016/j.amepre.2020.05.024.Peer-Reviewed Original ResearchConceptsAdverse social determinantsSocial determinantsCumulative burdenDemographic characteristicsVeterans Health Administration health careVeterans Health Administration facilitiesMultiple logistic regressionAnalysis of predictorsElectronic health recordsPatient populationFemale sexDecreased oddsUnmarried statusHispanic ethnicityClinical careEpidemiologic investigationsPatient experienceNegative binomial regressionAdministration facilitiesLogistic regressionMinority raceDisability statusVeteran servicesHealth recordsHealth careFacility Variation in Troponin Ordering Within the Veterans Health Administration
Chui PW, Esserman D, Bastian LA, Curtis JP, Gandhi PU, Rosman L, Desai N, Hauser RG. Facility Variation in Troponin Ordering Within the Veterans Health Administration. Medical Care 2020, 58: 1098-1104. PMID: 33003051, PMCID: PMC7666100, DOI: 10.1097/mlr.0000000000001424.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAge FactorsAgedAged, 80 and overComorbidityCross-Sectional StudiesDiagnosis-Related GroupsEmergency Service, HospitalGuideline AdherenceHumansMiddle AgedPractice Guidelines as TopicPractice Patterns, Physicians'Sex FactorsSocioeconomic FactorsTroponinUnited StatesUnited States Department of Veterans AffairsConceptsDownstream resource utilizationVeterans Health AdministrationCase mixHealth AdministrationCurrent United States guidelinesDownstream health care utilizationVeterans Health Administration facilitiesFacility characteristicsAcute coronary syndromeEmergency department visitsPercutaneous coronary interventionHealth care utilizationAcute care facilitiesUnited States guidelinesHigh rateCross-sectional analysisCoronary syndromeCoronary interventionED visitsDepartment visitsCare utilizationHighest quartileCoronary angiogramInpatient admissionsLowest quartileTreatment of a Large Cohort of Veterans Experiencing Musculoskeletal Disorders with Spinal Cord Stimulation in the Veterans Health Administration: Veteran Characteristics and Outcomes
Wandner LD, Fenton BT, Goulet JL, Carroll CM, Heapy A, Higgins DM, Bair MJ, Sandbrink F, Kerns RD. Treatment of a Large Cohort of Veterans Experiencing Musculoskeletal Disorders with Spinal Cord Stimulation in the Veterans Health Administration: Veteran Characteristics and Outcomes. Journal Of Pain Research 2020, 13: 1687-1697. PMID: 32753944, PMCID: PMC7354010, DOI: 10.2147/jpr.s241567.Peer-Reviewed Original ResearchMusculoskeletal disordersSCS implantsOpioid therapyPain scoresVeterans Health Administration facilitiesSpinal cord stimulator implantationOutcomes of veteransPainful musculoskeletal disordersSpinal cord stimulationVeterans Health AdministrationDepressive disorder diagnosisEvidence of benefitSubstance use disordersPercent of veteransSignificant overall decreaseMSD cohortOpioid doseBMI 25Medical comorbiditiesStimulator implantationChronic painCord stimulationInclusion diagnosisVeteran characteristicsLarge cohortAssociation of Alcohol Screening Scores With Adverse Mental Health Conditions and Substance Use Among US Adults
Khan MR, Young KE, Caniglia EC, Fiellin DA, Maisto SA, Marshall BDL, Edelman EJ, Gaither JR, Chichetto NE, Tate J, Bryant KJ, Severe M, Stevens ER, Justice A, Braithwaite SR. Association of Alcohol Screening Scores With Adverse Mental Health Conditions and Substance Use Among US Adults. JAMA Network Open 2020, 3: e200895. PMID: 32163167, PMCID: PMC7068229, DOI: 10.1001/jamanetworkopen.2020.0895.Peer-Reviewed Original ResearchConceptsAlcohol Use Disorders Identification TestAlcohol Use Disorders Identification Test-ConsumptionAUDIT-C scoresUse of tobaccoAlcohol screeningCohort studyInjection drugsCocaine useVeterans Aging Cohort StudyVeterans Health Administration facilitiesStimulant useAlcohol useAUDIT scoresAging Cohort StudyLongitudinal cohort studyVeterans Health AdministrationAdverse mental health conditionsSite of careFull Alcohol Use Disorders Identification TestMental health conditionsAlcohol Screening ScoresSelf-reported symptomsSymptoms of depressionDisorders Identification TestUse screening tools
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 conditionsPatientsAssociation Between Facility-Level Utilization of Non-pharmacologic Chronic Pain Treatment and Subsequent Initiation of Long-Term Opioid Therapy
Carey EP, Nolan C, Kerns RD, Ho PM, Frank JW. Association Between Facility-Level Utilization of Non-pharmacologic Chronic Pain Treatment and Subsequent Initiation of Long-Term Opioid Therapy. Journal Of General Internal Medicine 2018, 33: 38-45. PMID: 29633137, PMCID: PMC5902343, DOI: 10.1007/s11606-018-4324-y.Peer-Reviewed Original ResearchConceptsLong-term opioid therapyNon-pharmacologic treatmentsFacility-level variationNon-opioid medicationsChronic painOpioid therapyTreatment modalitiesVeterans Health Administration facilitiesPatient-reported painChronic pain treatmentChronic pain careImproved patient outcomesUtilization patternsOpioid treatmentPrior calendar yearMedication utilizationPatient characteristicsPain treatmentPain careKey ResultsAmongPrimary carePatient outcomesPainGreater utilizationAdministration facilities
2017
Pain Self-Management for Veterans: Development and Pilot Test of a Stage-Based Mobile-Optimized Intervention
Johnson SS, Levesque DA, Broderick LE, Bailey DG, Kerns RD. Pain Self-Management for Veterans: Development and Pilot Test of a Stage-Based Mobile-Optimized Intervention. JMIR Medical Informatics 2017, 5: e40. PMID: 29042341, PMCID: PMC5663948, DOI: 10.2196/medinform.7117.Peer-Reviewed Original ResearchPosttraumatic stress disorderChronic musculoskeletal painChronic painHealthy sleep habitsMusculoskeletal painPain impactGlobal ImpressionLong-term effectsSleep habitsPain self-management programPain self-management strategiesVeterans Health Administration facilitiesSignificant public health burdenPilot test participantsSignificant pre-post reductionsSymptoms of PTSDPublic health burdenMeasures of painSelf-management programPain Self-ManagementTraumatic brain injuryPercentage of participantsSelf-management strategiesPre-post reductionsCo-occurring conditionsDevelopment and Validation of Electronic Quality Measures to Assess Care for Patients With Transient Ischemic Attack and Minor Ischemic Stroke
Bravata DM, Myers LJ, Cheng E, Reeves M, Baye F, Yu Z, Damush T, Miech EJ, Sico J, Phipps M, Zillich A, Johanning J, Chaturvedi S, Austin C, Ferguson J, Maryfield B, Snow K, Ofner S, Graham G, Rhude R, Williams LS, Arling G. Development and Validation of Electronic Quality Measures to Assess Care for Patients With Transient Ischemic Attack and Minor Ischemic Stroke. Circulation Cardiovascular Quality And Outcomes 2017, 10: e003157. PMID: 28912200, DOI: 10.1161/circoutcomes.116.003157.Peer-Reviewed Original ResearchConceptsTransient ischemic attackElectronic quality measuresMinor ischemic strokeProportion of patientsIschemic attackIschemic strokeEHR dataDeep vein thrombosis prophylaxisVeterans Health Administration facilitiesCoronary risk assessmentInternational normalized ratioElectronic health record dataIschemic stroke careHealth record dataQuality of careSubstance abuse referralAntihypertensive classesMedication intensificationThrombosis prophylaxisLipid managementChart reviewStroke careAtrial fibrillationNeurology consultationNormalized ratioThree‐year retention in buprenorphine treatment for opioid use disorder nationally in the Veterans Health Administration
Manhapra A, Petrakis I, Rosenheck R. Three‐year retention in buprenorphine treatment for opioid use disorder nationally in the Veterans Health Administration. American Journal On Addictions 2017, 26: 572-580. PMID: 28472543, DOI: 10.1111/ajad.12553.Peer-Reviewed Original ResearchConceptsOpioid use disorderBuprenorphine treatmentLast prescriptionHazards modelUse disordersVeterans Health Administration facilitiesCox proportional hazards modelThree-year retentionProportion hazard modelKaplan-Meier curvesEmergency room visitsPsychotropic drug useVeterans Health AdministrationProportional hazards modelOnly black raceBuprenorphine discontinuationBuprenorphine retentionCharlson indexFirst prescriptionTreatment continuationRoom visitsBlack raceFY 2012Mean durationFiscal year 2012
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