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 effectEarly outpatient follow‐up, hospital‐free survival, and health‐related quality of life in older adults after hospitalization for acute myocardial infarction
Hajduk A, Kern L, Falvey J, Shang J, Herrin J, Tsang S, Aviles A, Chaudhry S. Early outpatient follow‐up, hospital‐free survival, and health‐related quality of life in older adults after hospitalization for acute myocardial infarction. Journal Of Hospital Medicine 2026 PMID: 42303270, DOI: 10.1002/jhm.70361.Peer-Reviewed Original ResearchHealth-related qualityHealth-related quality of lifeOutpatient follow-upEarly outpatient follow-upAcute myocardial infarctionOlder adultsQuality of lifeHospital-free survivalNationwide cohortFollow-up visitCohort of older adultsGeriatric vulnerabilitiesFollow-upDays post-dischargeMyocardial infarctionMedicare dataPost-dischargeRisk of declineInverse-probabilityTreatment weighting analysisAssociated with differencesAdultsVisitsParticipantsMedicareTrends in National Institutes of Health Investigators by Sex, Race, Ethnicity, and Disability Status.
Nguyen M, Chaudhry S, Hajduk A, Herrin J, Ogedegbe G, Henderson D, Shin S, Ayedun A, Boatright D. Trends in National Institutes of Health Investigators by Sex, Race, Ethnicity, and Disability Status. JAMA: The Journal Of The American Medical Association 2026 PMID: 42258198, PMCID: PMC13247840, DOI: 10.1001/jama.2026.7796.Peer-Reviewed Original ResearchUnmet rehabilitation needs in cancer survivors: A population-level analysis.
Hanif S, Barksdale T, Cheville A, Herrin J, Ruddy K, Pachman D, Grzegorczyk V. Unmet rehabilitation needs in cancer survivors: A population-level analysis. Journal Of Clinical Oncology 2026, 44: 1584-1584. DOI: 10.1200/jco.2026.44.16_suppl.1584.Peer-Reviewed Original ResearchRehabilitation servicesRehabilitation needsNo-showRehabilitation encountersSevere physical function impairmentsUnmet rehabilitation needsPhysical function impairmentCancer symptom controlMedical oncology practicePost hoc exploratory analysisNo-show ratesFactors associated with non-useNumerical rating scaleMayo Clinic enterpriseCancer continuumCancer survivorsUsual careStepped-wedgeOccupational therapyProvider reluctancePhysical functionPhysical therapyOncology encountersPragmatic trialSociodemographic factorsEffect of an EHR-facilitated symptom surveillance intervention on rehabilitation utilization in cancer patients.
Barksdale T, Hanif S, Herrin J, Grzegorczyk V, Ruddy K, Pachman D, Cheville A. Effect of an EHR-facilitated symptom surveillance intervention on rehabilitation utilization in cancer patients. Journal Of Clinical Oncology 2026, 44: 1587-1587. DOI: 10.1200/jco.2026.44.16_suppl.1587.Peer-Reviewed Original ResearchPhysical function impairmentPhysical functionSymptom burdenSevere physical function impairmentsSurveillance interventionsRehabilitation service usePalliative care utilizationCare management supportSelf-management materialsRehabilitation encountersCancer symptom controlPost hoc exploratory analysisMedical oncology practiceFunctional impairmentNumerical rating scaleQuality of lifeMayo Clinic enterpriseOutpatient rehabilitationRehabilitation engagementCancer survivorsRehabilitation servicesRehabilitation visitsRehabilitation utilizationStepped-wedgeCare utilizationAssociation between physician characteristics and likelihood of caring for underserved patients with cancer.
Roberts W, Soulos P, Herrin J, Long J, Genao I, Pollack C, Yu J, Boatright D, Gross C. Association between physician characteristics and likelihood of caring for underserved patients with cancer. Journal Of Clinical Oncology 2026, 44: 1646-1646. DOI: 10.1200/jco.2026.44.16_suppl.1646.Peer-Reviewed Original ResearchForeign-born physiciansCountry of birthDual eligiblesUnderserved patientsCancer physiciansPhysician raceMedicare beneficiariesUnderserved cancer patientsLow-income patientsMedicaid dual eligibilityDual-eligible patientsForeign-born statusPhysician race/ethnicityPhysician workforceHispanic physiciansRural patientsPhysician characteristicsOncology workforceBlack physiciansSEER-MedicareAsian physiciansPhysiciansBlack patientsAverage physicianWorkforce
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