Minhee Sung
Instructor of Medicine (General Medicine)Cards
About
Research
Publications
2024
Disparities in Receipt of Medications for Opioid Use Disorder Before and During the COVID-19 Pandemic in the US Veterans Health Administration.
Sung M, León C, Reisman J, Gordon K, Kerns R, Li W, Liu W, Mitra A, Yu H, Becker W. Disparities in Receipt of Medications for Opioid Use Disorder Before and During the COVID-19 Pandemic in the US Veterans Health Administration. Substance Use & Addiction Journal 2024, 29767342241293334. PMID: 39569566, DOI: 10.1177/29767342241293334.Peer-Reviewed Original ResearchMOUD receiptElixhauser Comorbidity IndexOpioid use disorderSocial determinants of healthVeterans Health Administration electronic health record dataElectronic health record dataUS Veterans Health AdministrationDeterminants of healthVeterans Health AdministrationHealth record dataProportion of veteransReceipt of medicationsSubstance useComorbidity indexTargeted outreach effortsUse disorderCOVID-19 pandemicProportion of patientsSocial determinantsReceipt of MOUDHealth AdministrationRecord dataEffect sizeMOUD engagementCalculated proportionsClinician and Practice Characteristics Associated With Support of Office-Based Methadone: Findings From a National Survey.
Sung M, Black A, Blevins D, Henry B, Cates-Wessel K, Dawes M, Hagle H, Joudrey P, Molfenter T, Levin F, Fiellin D, Edelman E. Clinician and Practice Characteristics Associated With Support of Office-Based Methadone: Findings From a National Survey. Journal Of Addiction Medicine 2024 PMID: 39475119, DOI: 10.1097/adm.0000000000001388.Peer-Reviewed Original ResearchOpioid use disorderCharacteristics associated with supportTreatment of opioid use disorderMultivariate logistic regression modelOffice-based settingSequential multivariable logistic regression modelsOpioid treatment programsLogistic regression modelsAcademic medical centerUse disorderInclusion criteriaMethadoneMedical CenterPatientsOffice-basedCOVID-19 surveyClinician supportPractice characteristicsLongitudinal treatmentImplementation barriersPolicy changesMOUDOutcome variablesImprove accessNational surveyM145 Assessing Provider Readiness to Implement Pre-Exposure Prophylaxis for HIV Prevention and Medications for Opioid Use Disorder Among People who Inject Drugs
Pickering E, Sung M, Bailey G, Buchelli M, Davidson D, Jenkins M, John B, Kolakowski J, Maier L, Porter E, Perez O, Rash C, Edelman E, Viera A. M145 Assessing Provider Readiness to Implement Pre-Exposure Prophylaxis for HIV Prevention and Medications for Opioid Use Disorder Among People who Inject Drugs. Drug And Alcohol Dependence 2024, 260: 110425. DOI: 10.1016/j.drugalcdep.2023.110425.Peer-Reviewed Original ResearchT93 Readiness to Implement Contingency Management to Promote PrEP Initiation and Adherence Among People who Inject Drugs
Viera A, Pickering E, Sung M, Bailey G, Buchelli M, Davidson D, Jenkins M, John B, Kolakowski J, Maier L, Porter E, Perez O, Edelman E, Rash C. T93 Readiness to Implement Contingency Management to Promote PrEP Initiation and Adherence Among People who Inject Drugs. Drug And Alcohol Dependence 2024, 260: 110542. DOI: 10.1016/j.drugalcdep.2023.110542.Peer-Reviewed Original ResearchODD: A Benchmark Dataset for the Natural Language Processing Based Opioid Related Aberrant Behavior Detection.
Kwon S, Wang X, Liu W, Druhl E, Sung M, Reisman J, Li W, Kerns R, Becker W, Yu H. ODD: A Benchmark Dataset for the Natural Language Processing Based Opioid Related Aberrant Behavior Detection. Annual Meeting 2024, 2024: 4338-4359. PMID: 39224833, PMCID: PMC11368170.Peer-Reviewed Original ResearchBenchmark datasetsState-of-the-art natural language processing modelsNatural language processing modelsState-of-the-artLanguage processing modelsAberrant behaviorDetection datasetMacro-average areaBehavior detectionPrecision recall curveDiagnosed opioid dependencePerformance improvementRecall curveDatasetProcess modelExperimental resultsCentral nervous system-relatedOpioid dependenceNervous system-relatedMedication changesOpioidBenchmarksODD: A Benchmark Dataset for the Natural Language Processing Based Opioid Related Aberrant Behavior Detection
Kwon S, Wang X, Liu W, Druhl E, Sung M, Reisman J, Li W, Kerns R, Becker W, Yu H. ODD: A Benchmark Dataset for the Natural Language Processing Based Opioid Related Aberrant Behavior Detection. 2024, 4338-4359. DOI: 10.18653/v1/2024.naacl-long.244.Peer-Reviewed Original Research
2023
The Association of Prescribed Opioids and Incident Cardiovascular Disease
Sung M, Eden S, Becker W, Crystal S, Duncan M, Gordon K, Kerns R, Kundu S, Freiberg M, So-Armah K, Edelman E. The Association of Prescribed Opioids and Incident Cardiovascular Disease. Journal Of Pain 2023, 25: 104436. PMID: 38029949, PMCID: PMC11058015, DOI: 10.1016/j.jpain.2023.11.019.Peer-Reviewed Original ResearchIncident cardiovascular diseaseModifiable CVD risk factorsCVD risk factorsHuman immunodeficiency virusCardiovascular diseasePrescribed opioidsOpioid receiptRisk factorsUse disordersCox proportional hazards regression modelVeterans Aging Cohort StudyVeterans Health Administration (VHA) carePropensity scoreProportional hazards regression modelsCVD incidence ratesPrescription opioid exposureIncident CVD eventsPrevalence of hypertensionAging Cohort StudyHigher opioid dosesOpioid use disorderHazards regression modelsNational prospective cohortVeterans Administration dataCocaine use disorder