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
2024
Learning implementation of a guideline based decision support system to improve hypertension treatment in primary care in China: pragmatic cluster randomised controlled trial
Song J, Wang X, Wang B, Ge Y, Bi L, Jing F, Jin H, Li T, Gu B, Wang L, Hao J, Zhao Y, Liu J, Zhang H, Li X, Li J, Ma W, Wang J, Normand S, Herrin J, Armitage J, Krumholz H, Zheng X. Learning implementation of a guideline based decision support system to improve hypertension treatment in primary care in China: pragmatic cluster randomised controlled trial. The BMJ 2024, 386: e079143. PMID: 39043397, PMCID: PMC11265211, DOI: 10.1136/bmj-2023-079143.Peer-Reviewed Original ResearchConceptsClinical decision support systemsPrimary care practicesElectronic health recordsIntervention groupSystolic blood pressurePrimary careCare practicesBlood pressure <Health recordsPragmatic cluster randomised controlled trialCluster randomised controlled trialImproving hypertension treatmentPrimary care settingBlood pressure control ratesBlood pressureProportion of visitsProportion of participantsRandomised controlled trialsSystolic blood pressure <Control groupInjurious fallsRelated visitsCare settingsDiastolic blood pressure <Follow-upCalculation of Overall Hospital Quality Star Ratings With and Without Inclusion of the Peer Grouping Step
Gettel C, Bagshaw K, Qin L, Lin Z, Rothenberg E, Omotosho P, Goutos D, Herrin J, Suter L, Schreiber M, Fleisher L, Myers R, Spivack S, Venkatesh A. Calculation of Overall Hospital Quality Star Ratings With and Without Inclusion of the Peer Grouping Step. JAMA Network Open 2024, 7: e2411933. PMID: 38753326, PMCID: PMC11099678, DOI: 10.1001/jamanetworkopen.2024.11933.Peer-Reviewed Original ResearchConceptsCenters for Medicare & Medicaid ServicesCross-sectional studyHospital characteristicsHigher star ratingsStar ratingsOverall hospital qualityLowest-performing hospitalsOverall star ratingQuality star ratingsHospital star ratingsStar Ratings scoresHospital qualityHospital performanceStratified hospitalsMedicaid ServicesMain OutcomesFace validityPeer groupPeer group approachPrimary outcomePeer comparisonHospitalRating scoresPeerMeasurement groupEnrollment in High-Deductible Health Plans and Incident Diabetes Complications
McCoy R, Swarna K, Jiang D, Van Houten H, Chen J, Davis E, Herrin J. Enrollment in High-Deductible Health Plans and Incident Diabetes Complications. JAMA Network Open 2024, 7: e243394. PMID: 38517436, PMCID: PMC10960199, DOI: 10.1001/jamanetworkopen.2024.3394.Peer-Reviewed Original ResearchConceptsHigh-deductible health plansHealth plansChronic disease managementOdds of myocardial infarctionLower-extremity complicationsMixed-effects logistic regression modelsOut-of-pocket costsAssociated with increased oddsDiabetic complicationsInverse propensity score weightingLogistic regression modelsCardiovascular risk factorsEmployer-sponsored health plansDiabetes careRetrospective cohort studyUS adultsPropensity score weightingPotential selection biasMain OutcomesCohort studyBaseline yearIncident complicationsDisease managementMixed-effectsPotential harmHealthy immigrant community study protocol: A randomized controlled trial of a social network intervention for cardiovascular risk reduction among Hispanic and Somali adults
Wieland M, Molina L, Goodson M, Capetillo G, Osman A, Ahmed Y, Elmi H, Nur O, Iteghete S, Torres-Herbeck G, Dirie H, Clark M, Lohr A, Smith K, Zeratsky K, Rieck T, Herrin J, Valente T, Sia I. Healthy immigrant community study protocol: A randomized controlled trial of a social network intervention for cardiovascular risk reduction among Hispanic and Somali adults. Contemporary Clinical Trials 2024, 138: 107465. PMID: 38309526, PMCID: PMC10923143, DOI: 10.1016/j.cct.2024.107465.Peer-Reviewed Original ResearchConceptsLife's Simple 7Social network interventionsHealth promotionCardiovascular risk factorsCardiovascular risk reductionAmerican Heart Association's Life's Simple 7Health promotion interventionsPhysical activity levelsNetwork interventionsStepped wedge cluster randomized designReducing cardiovascular risk factorsCluster randomized trialStepped wedge cluster randomized trialNegative health behaviorsCluster randomized designRisk factorsHealthy weight lossRisk reductionRandomized controlled trialsImmigrant populationPromotion interventionsSomali adultsHealth behaviorsSomali immigrant communityWaist circumferenceMeasuring Equity in Readmission as a Distinct Assessment of Hospital Performance
Nash K, Weerahandi H, Yu H, Venkatesh A, Holaday L, Herrin J, Lin Z, Horwitz L, Ross J, Bernheim S. Measuring Equity in Readmission as a Distinct Assessment of Hospital Performance. JAMA 2024, 331: 111-123. PMID: 38193960, PMCID: PMC10777266, DOI: 10.1001/jama.2023.24874.Peer-Reviewed Original ResearchConceptsBlack patientsPatient populationHospital characteristicsHospital-wide readmission measureDual-eligible patientsHospital patient populationCross-sectional studyMeasures of hospitalHealth care qualityPatient demographicsReadmission ratesClinical outcomesPatient raceEligible hospitalsReadmissionMAIN OUTCOMEReadmission measuresMedicare dataUS hospitalsHospitalCare qualityPatientsMedicaid ServicesOutcomesLower percentageMultilevel Implementation Strategies for Adolescent Human Papillomavirus Vaccine Uptake
Rutten L, Griffin J, St. Sauver J, MacLaughlin K, Austin J, Jenkins G, Herrin J, Jacobson R. Multilevel Implementation Strategies for Adolescent Human Papillomavirus Vaccine Uptake. JAMA Pediatrics 2024, 178: 29-36. PMID: 37983062, PMCID: PMC10957109, DOI: 10.1001/jamapediatrics.2023.4932.Peer-Reviewed Original ResearchConceptsAudit/feedbackReminder/recallHPV vaccine uptakeUsual careHPV vaccinationHPV vaccineVaccine uptakeHuman papillomavirusNational public health goalsHuman papillomavirus vaccine uptakeMultilevel implementation strategyHPV vaccination ratesPrimary care practicesHealth care professionalsEvidence-based interventionsPublic health goalsEvidence-based strategiesAdolescent vaccinesEligible patientsNew cancersPatient receiptVaccination ratesEligible childrenClinical trialsMayo Clinic
2022
Perioperative magnetic resonance imaging in breast cancer care: Distinct adoption trajectories among physician patient-sharing networks
Xu X, Soulos PR, Herrin J, Wang SY, Pollack CE, Killelea BK, Forman HP, Gross CP. Perioperative magnetic resonance imaging in breast cancer care: Distinct adoption trajectories among physician patient-sharing networks. PLOS ONE 2022, 17: e0265188. PMID: 35290417, PMCID: PMC8923453, DOI: 10.1371/journal.pone.0265188.Peer-Reviewed Original ResearchConceptsPhysician patient-sharing networksPerioperative magnetic resonance imagingClinical risk factorsMagnetic resonance imagingPatient clinical risk factorsPatient-sharing networksBreast cancer careRisk-adjusted ratesMastectomy usePhysician networksCancer careRisk factorsEnd Results-Medicare databaseCharacteristics of patientsProportion of patientsBreast cancer surgeryComposition of patientsMRI adoptionDistinct trajectoriesMore patientsCancer surgeryClinical outcomesCancer specialistsMRI usePatientsTrends and Variation in the Gap Between Current and Anticipated Life Satisfaction in the United States, 2008-2020.
Riley C, Herrin J, Lam V, Parsons AA, Kaplan GA, Liu D, Witters D, Krumholz HM, Roy B. Trends and Variation in the Gap Between Current and Anticipated Life Satisfaction in the United States, 2008-2020. American Journal Of Public Health 2022, 112: 509-517. PMID: 35196041, PMCID: PMC8887183, DOI: 10.2105/ajph.2021.306589.Peer-Reviewed Original ResearchAccuracy of Simulated Research Tasks by Community Hospitals Participating in a Multicenter Telemedicine Trial
Fang JL, Whyte H, Umoren R, Limjoco J, Makkar A, Yankanah R, McCoy M, Lo MD, Herrin J, Demaerschalk BM. Accuracy of Simulated Research Tasks by Community Hospitals Participating in a Multicenter Telemedicine Trial. Telemedicine Journal And E-Health 2022, 28: 1489-1495. PMID: 35167373, DOI: 10.1089/tmj.2021.0574.Peer-Reviewed Original ResearchConceptsHealth care professionalsCommunity hospitalCare professionalsStudy eligibilityClinical trialsEligibility criteriaStudy-eligible patientsSubsequent clinical trialsTelemedicine trialsTrial eligibility criteriaStandard descriptive statisticsEligible patientsNeonatal resuscitation scenarioTrial eligibilitySurvey response rateBACKGROUND/Clinical scenariosResponse rateHospitalTrialsResuscitation scenariosElectronic surveyEligibilityData elementsDescriptive statisticsAssociation Between Payments by Pharmaceutical Manufacturers and Prescribing Behavior in Rheumatology
Duarte-García A, Crowson CS, McCoy RG, Herrin J, Lam V, Putman MS, Ross JS, Matteson EL, Shah ND. Association Between Payments by Pharmaceutical Manufacturers and Prescribing Behavior in Rheumatology. Mayo Clinic Proceedings 2022, 97: 250-260. PMID: 35120693, PMCID: PMC9013005, DOI: 10.1016/j.mayocp.2021.08.026.Peer-Reviewed Original ResearchFactors Associated With Disparities in Hospital Readmission Rates Among US Adults Dually Eligible for Medicare and Medicaid
Silvestri D, Goutos D, Lloren A, Zhou S, Zhou G, Farietta T, Charania S, Herrin J, Peltz A, Lin Z, Bernheim S. Factors Associated With Disparities in Hospital Readmission Rates Among US Adults Dually Eligible for Medicare and Medicaid. JAMA Health Forum 2022, 3: e214611. PMID: 35977231, PMCID: PMC8903116, DOI: 10.1001/jamahealthforum.2021.4611.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionNon-DE patientsCommunity-level factorsHospital disparitiesHeart failureDE patientsReadmission ratesCohort studyUS hospitalsRisk-adjusted readmission ratesRetrospective cohort studyHospital readmission ratesLow-income older adultsHospital quality improvementEligible patientsHospital readmissionMedicaid eligibility policyCare transitionsMyocardial infarctionState Medicaid policiesWorse outcomesMedicare patientsMAIN OUTCOMEUS adultsPneumonia
2021
Can a collective-impact initiative improve well-being in three US communities? Findings from a prospective repeated cross-sectional study
Riley C, Roy B, Lam V, Lawson K, Nakano L, Sun J, Contreras E, Hamar B, Herrin J. Can a collective-impact initiative improve well-being in three US communities? Findings from a prospective repeated cross-sectional study. BMJ Open 2021, 11: e048378. PMID: 34937711, PMCID: PMC8704973, DOI: 10.1136/bmjopen-2020-048378.Peer-Reviewed Original ResearchConceptsLife evaluation indexCollective impact initiativeBlue Zones ProjectBeach CitiesUS communitiesCollective actionPolicy changesCommunity engagementSimilar citiesStrategic useZone projectsCommunityManhattan BeachCityInitiativesProcess-oriented interventionNationsType of interventionBeing IndexEngagementCross-sectional surveyEntire portfolioResidentsHealthInterventionA Clinical Decision Aid to Support Personalized Treatment Selection for Patients with Clinical T1 Renal Masses: Results from a Multi-institutional Competing-risks Analysis
Psutka SP, Gulati R, Jewett MAS, Fadaak K, Finelli A, Legere L, Morgan TM, Pierorazio PM, Allaf ME, Herrin J, Lohse CM, Thompson R, Boorjian SA, Atwell TD, Schmit GD, Costello BA, Shah ND, Leibovich BC. A Clinical Decision Aid to Support Personalized Treatment Selection for Patients with Clinical T1 Renal Masses: Results from a Multi-institutional Competing-risks Analysis. European Urology 2021, 81: 576-585. PMID: 34862099, PMCID: PMC10351331, DOI: 10.1016/j.eururo.2021.11.002.Peer-Reviewed Original ResearchConceptsCancer-specific mortalityRenal cortical massesRadical nephrectomyPartial nephrectomyActive surveillancePersonalized treatment selectionClavien gradeRisk calculatorThermal ablationTreatment selectionEastern Cooperative Oncology Group performance statusClinical T1 renal massesSurgeon/hospital volumeHigh-volume referral centerInitial radical nephrectomyCharlson Comorbidity IndexCompeting-risks regressionConsecutive adult patientsGlomerular filtration rateClavien grade 3Risk of deathBody mass indexT1 renal massesRisk of mortalityClinical decision aidProvider Perspectives on the Acceptability, Appropriateness, and Feasibility of Teleneonatology
Fang JL, Umoren R, Whyte H, Limjoco J, Makkar A, Yankanah R, McCoy M, Lo MD, Colby CE, Herrin J, Jacobson RM, Demaerschalk BM. Provider Perspectives on the Acceptability, Appropriateness, and Feasibility of Teleneonatology. American Journal Of Perinatology 2021, 40: 1521-1528. PMID: 34583392, DOI: 10.1055/a-1656-6363.Peer-Reviewed Original ResearchConceptsNeonatal intensive care unitTertiary neonatal intensive care unitNeonatal careNewborn nurseryCommunity hospitalLevel II special care nurseryProvider perspectivesSpecial care nurseryIntensive care unitYears of experiencePercent of respondentsSurvey response rateCare unitLevel IResponse rateMedian scoreTeleneonatologyHospitalSmall hospitalsProfessional roleMean scoreScoresLevel of experienceCareHigher scoresNational Trends in Racial and Ethnic Disparities in Antihypertensive Medication Use and Blood Pressure Control Among Adults With Hypertension, 2011–2018
Lu Y, Liu Y, Dhingra LS, Massey D, Caraballo C, Mahajan S, Spatz ES, Onuma O, Herrin J, Krumholz HM. National Trends in Racial and Ethnic Disparities in Antihypertensive Medication Use and Blood Pressure Control Among Adults With Hypertension, 2011–2018. Hypertension 2021, 79: 207-217. PMID: 34775785, DOI: 10.1161/hypertensionaha.121.18381.Peer-Reviewed Original ResearchConceptsAntihypertensive medication usePoor hypertension controlOverall treatment rateLow control rateHypertension controlHypertension awarenessMedication useControl rateHispanic individualsEthnic differencesTreatment ratesBlack individualsGuideline-recommended medicationsBlood pressure controlWhite individualsNutrition Examination SurveyLow awareness rateAntihypertensive medicationsHypertensive peopleExamination SurveyIntensive medicationNational HealthAwareness rateEthnic disparitiesPressure controlReal-world Cardiovascular Outcomes Associated With Degarelix vs Leuprolide for Prostate Cancer Treatment
Wallach JD, Deng Y, McCoy RG, Dhruva SS, Herrin J, Berkowitz A, Polley EC, Quinto K, Gandotra C, Crown W, Noseworthy P, Yao X, Shah ND, Ross JS, Lyon TD. Real-world Cardiovascular Outcomes Associated With Degarelix vs Leuprolide for Prostate Cancer Treatment. JAMA Network Open 2021, 4: e2130587. PMID: 34677594, PMCID: PMC8536955, DOI: 10.1001/jamanetworkopen.2021.30587.Peer-Reviewed Original ResearchConceptsMajor adverse cardiovascular eventsSecondary end pointsMyocardial infarctionClinical trialsCardiovascular diseaseProstate cancerCardiovascular eventsEnd pointRisk of MACELarge US administrative claims databasePropensity-matched cohort studyUS administrative claims databasePropensity score-matched patientsAdverse cardiovascular eventsPrimary end pointAdministrative claims databaseProportional hazards regressionRandomized clinical trialsAdministrative claims dataTrial eligibility criteriaMedicare Advantage beneficiariesProstate cancer treatmentReal-world evidenceElectronic health recordsCardiovascular outcomes