Adjunct Faculty
Adjunct faculty typically have an academic or research appointment at another institution and contribute or collaborate with one or more School of Medicine faculty members or programs.
Adjunct rank detailsJeph Herrin, PhD
Assistant Professor AdjunctAbout
Research
Publications
Featured Publications
Trends in Racial and Ethnic Disparities in Barriers to Timely Medical Care Among Adults in the US, 1999 to 2018
Caraballo C, Ndumele CD, Roy B, Lu Y, Riley C, Herrin J, Krumholz HM. Trends in Racial and Ethnic Disparities in Barriers to Timely Medical Care Among Adults in the US, 1999 to 2018. JAMA Health Forum 2022, 3: e223856. PMID: 36306118, PMCID: PMC9617175, DOI: 10.1001/jamahealthforum.2022.3856.Peer-Reviewed Original ResearchConceptsTimely medical careSerial cross-sectional studyNational Health Interview SurveyCross-sectional studyHealth Interview SurveyMedical careLack of transportationEthnic disparitiesHispanics/LatinosWhite individualsEthnicity groupsInterview SurveyCost of careSelf-reported raceStudy cohortClinic hoursMAIN OUTCOMEMedical officesCarePrevalenceLatino individualsBlack individualsSignificant differencesSignificant increasePopulation groupsIdentifying high-value care for Medicare beneficiaries: a cross-sectional study of acute care hospitals in the USA
Herrin J, Yu H, Venkatesh AK, Desai SM, Thiel CL, Lin Z, Bernheim SM, Horwitz LI. Identifying high-value care for Medicare beneficiaries: a cross-sectional study of acute care hospitals in the USA. BMJ Open 2022, 12: e053629. PMID: 35361641, PMCID: PMC8971780, DOI: 10.1136/bmjopen-2021-053629.Peer-Reviewed Original ResearchConceptsAcute care hospitalsHigh-value careStar hospitalsCare hospitalMedicare spendingEligible Medicare patientsRetrospective observational studyCross-sectional studyNon-teaching statusHigh-quality careHigh-quality hospitalsLow-cost hospitalsHigh-cost hospitalsCharacteristics of hospitalsValue of careSecondary outcomesPrimary outcomeMedicare patientsObservational studyMedicare beneficiariesHospitalQuality careOverall star ratingHospital ValueComparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment
Herrin J, Abraham NS, Yao X, Noseworthy PA, Inselman J, Shah ND, Ngufor C. Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment. JAMA Network Open 2021, 4: e2110703. PMID: 34019087, PMCID: PMC8140376, DOI: 10.1001/jamanetworkopen.2021.10703.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAnticoagulantsAntifibrinolytic AgentsAtrial FibrillationClinical Decision-MakingCohort StudiesCross-Sectional StudiesFemaleFibrinolytic AgentsGastrointestinal HemorrhageHumansMachine LearningMaleMiddle AgedMyocardial IschemiaPredictive Value of TestsRetrospective StudiesRisk AssessmentThienopyridinesUnited StatesVenous ThromboembolismYoung AdultConceptsGastrointestinal bleedingIschemic heart diseaseCross-sectional studyThienopyridine antiplatelet agentAntithrombotic treatmentVenous thromboembolismAntiplatelet agentsRandom survival forestStudy cohortAtrial fibrillationValidation cohortHeart diseaseHAS-BLED risk scoreRetrospective cross-sectional studyCox proportional hazards regressionHAS-BLED scorePrior GI bleedPatients 18 yearsCohort of patientsEntire study cohortProportional hazards regressionOptumLabs Data WarehouseMedicare Advantage enrolleesPositive predictive valueRisk prediction modelPopulation well-being and electoral shifts
Herrin J, Witters D, Roy B, Riley C, Liu D, Krumholz HM. Population well-being and electoral shifts. PLOS ONE 2018, 13: e0193401. PMID: 29529049, PMCID: PMC5846778, DOI: 10.1371/journal.pone.0193401.Peer-Reviewed Original Research
2026
Comparison of Specific Glucagon-Like Peptide-1 Receptor Agonists on Kidney Outcomes Among Patients With Type 2 Diabetes
Neumiller J, Deng Y, Swarna K, Polley E, Herrin J, Galindo R, Umpierrez G, Ross J, Mickelson M, Dryden K, Tuttle K, McCoy R. Comparison of Specific Glucagon-Like Peptide-1 Receptor Agonists on Kidney Outcomes Among Patients With Type 2 Diabetes. American Journal Of Kidney Diseases 2026 PMID: 42302979, DOI: 10.1053/j.ajkd.2026.04.007.Peer-Reviewed Original ResearchGlucagon-like peptide-1 receptor agonistsKidney composite outcomeGlucagon-like peptide-1Chronic kidney diseaseModerate cardiovascular riskGLP-1 receptor agonistsDipeptidyl peptidase-4 inhibitorsAssociated with reduced riskInverse probability of treatment weightingReceptor agonistsType 2 diabetesPeptidase-4 inhibitorsKidney outcomesComposite outcomeCardiovascular riskEffects of GLP-1 receptor agonistsPrimary outcomeKidney diseaseChronic kidney disease stage 3Low riskPeptide-1Associated with reduced risks of deathPeptide-1 receptor agonistsDeaths related to treatmentClass effectComparative effectiveness of sulfonylureas on kidney outcomes in adults with type 2 diabetes and moderate cardiovascular risk: a target trial emulation
Sklepinski S, Ratzki-Leewing A, Herrin J, Swarna K, Deng Y, Polley E, Neumiller J, Galindo R, Umpierrez G, Ross J, Brito J, Montori V, Mickelson M, McCoy R. Comparative effectiveness of sulfonylureas on kidney outcomes in adults with type 2 diabetes and moderate cardiovascular risk: a target trial emulation. BMJ Open Diabetes Research & Care 2026, 14: e005775. PMID: 42167878, PMCID: PMC13202062, DOI: 10.1136/bmjdrc-2025-005775.Peer-Reviewed Original ResearchConceptsModerate cardiovascular riskType 2 diabetesClaims dataHigh riskLow riskChronic kidney diseaseKidney complicationsMedicare health plansInverse probabilityTarget trial emulationCardiovascular riskKidney outcomesClinical decision-makingHospital careProportional hazards modelInverse probability of treatment weightingProbability of treatment weightingHealth plansInitiation of kidney replacement therapyIncidence of chronic kidney diseaseHigh risk of hypoglycemiaEmergency departmentTrial emulationRisk of severe hypoglycemiaHypothesis-generating findingsComparative Effectiveness of Individual Sodium Glucose Transporter 2 Inhibitors on Cardiovascular Outcomes in Type 2 Diabetes With Moderate Cardiovascular Risk: Emulation of a Target Trial
Zehra A, Deng Y, Swarna K, Herrin J, Polley E, Neumiller J, Galindo R, Umpierrez G, Ross J, Brito J, Montori V, Borah B, Maron B, Mickelson M, McCoy R. Comparative Effectiveness of Individual Sodium Glucose Transporter 2 Inhibitors on Cardiovascular Outcomes in Type 2 Diabetes With Moderate Cardiovascular Risk: Emulation of a Target Trial. Journal Of The American Heart Association 2026, 15: e046238. PMID: 42132163, PMCID: PMC13279346, DOI: 10.1161/jaha.125.046238.Peer-Reviewed Original ResearchConceptsModerate cardiovascular riskType 2 diabetesRisk of MACECardiovascular riskMedicare fee-for-service beneficiariesFee-for-service beneficiariesTarget trialsCardiovascular outcomesInverse probabilitySodium-glucose transporter 2 inhibitorsTrials of adultsInverse probability of treatment weightingTransporter 2 inhibitorsHealth systemProbability of treatment weightingMedicare AdvantageCanagliflozin therapyReduced riskBaseline covariatesCardioprotective therapiesInhibitor medicationWeight cohortDapagliflozinEmpagliflozinHypoglycemic crisisLongitudinal Evaluation of Research Career Intentions Among US Medical Students
Hajduk A, O’Connell M, Aviles A, Herrin J, Nguyen M, Venkataraman S, White M, Sánchez J, Wolfson R, Boatright D, Chaudhry S. Longitudinal Evaluation of Research Career Intentions Among US Medical Students. JAMA Network Open 2026, 9: e2611430. PMID: 42118538, PMCID: PMC13169399, DOI: 10.1001/jamanetworkopen.2026.11430.Peer-Reviewed Original ResearchConceptsCross-sectional analysis of baseline dataCross-sectional analysisFirst-year medical studentsAnalysis of baseline dataUS medical schoolsMedical studentsMedical schoolsCareer intentionsShortage of physician-scientistsPre-medical schoolLongitudinal evaluationBaseline dataMedical student respondentsLiaison Committee on Medical EducationUS medical studentsYear 1Research career developmentResearch participantsMedical student studiesTailored educationPhysician-scientist workforcePhysician-scientist trainingResearch career intentionsSociodemographic factorsPsychosocial characteristicsCardiovascular Effects of Alogliptin, Linagliptin, Saxagliptin, and Sitagliptin: A Target Trial Emulation of a Comparative Effectiveness Study
Kalathiya U, Yuang K, Herrin J, Swarna K, Deng Y, Polley E, Neumiller J, Galindo R, Umpierrez G, Ross J, Brito J, Montori V, Borah B, Maron B, Mickelson M, McCoy R. Cardiovascular Effects of Alogliptin, Linagliptin, Saxagliptin, and Sitagliptin: A Target Trial Emulation of a Comparative Effectiveness Study. Endocrine Practice 2026 PMID: 41962900, DOI: 10.1016/j.eprac.2026.04.004.Peer-Reviewed Original ResearchModerate cardiovascular riskRisk of MACEType 2 diabetesClaims dataDipeptidyl peptidase-4Inverse probabilityCardiovascular riskComparative effectiveness studiesWeight follow-upCardiovascular effectsInverse probability of treatment weightingProbability of treatment weightingFollow-up timeHeart failure hospitalizationEffects of alogliptinTrial emulationChoice of medicationHHF ratesMedicare AdvantageMedicare plansStudy cohortStudy drugFailure hospitalizationNo significant differenceMACE rateTimeliness of antiresorptive consolidation after anabolic therapy for primary fracture prevention: A US cohort study
Badour S, McCoy R, Takagi M, Everhart A, Parimi J, Herrin J, Karaca-Mandic P, Wermers R, Rosen C, Brito J. Timeliness of antiresorptive consolidation after anabolic therapy for primary fracture prevention: A US cohort study. The Journal Of Clinical Endocrinology & Metabolism 2026, dgag092. PMID: 41778369, DOI: 10.1210/clinem/dgag092.Peer-Reviewed Original ResearchPrimary fracture preventionOsteoanabolic therapyFracture preventionDelayed consolidationMultivariate logistic regressionUS cohort studyConsolidation therapyAntiresorptive treatmentAnabolic therapyOsteoanabolic treatmentMedicare AdvantageBone massCohort studyPrimary outcomeNo consolidationSecondary outcomesTherapyPatientsLogistic regressionPrimary careOsteoanabolicClinical contextAdministrative dataPreventionTraditional Medicare
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