2024
Healthy 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 circumference
2022
Trends 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 Research
2021
Physician variation in the de‐adoption of ineffective statin and fibrate therapy
Everhart A, Desai NR, Dowd B, Herrin J, Higuera L, Jeffery MM, Jena AB, Ross JS, Shah ND, Smith LB, Karaca‐Mandic P. Physician variation in the de‐adoption of ineffective statin and fibrate therapy. Health Services Research 2021, 56: 919-931. PMID: 33569804, PMCID: PMC8522575, DOI: 10.1111/1475-6773.13630.Peer-Reviewed Original ResearchMeSH KeywordsAgedDiabetes Mellitus, Type 2Drug Therapy, CombinationDrug UtilizationFemaleFibric AcidsGuideline AdherenceHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypoglycemic AgentsHypolipidemic AgentsLongitudinal StudiesMaleMedicare Part CMiddle AgedPractice Guidelines as TopicPractice Patterns, Physicians'Risk FactorsUnited StatesConceptsMedicare Advantage patientsType 2 diabetic patientsACCORD lipid trialFibrate useAdvantage patientsCommercial patientsPhysician characteristicsLIPID trialFibrate therapyDiabetic patientsPhysician variationDiabetes careType 2 diabetes diagnosisContinuous insurance enrollmentPatient diabetes carePhysician random effectsGlucose-lowering drugsElectronic health record dataHealth record dataReal-world data assetConcurrent statinCardiovascular eventsStatin usersClinical evidenceManagement visits
2020
Association of Do-Not-Resuscitate Patient Case Mix With Publicly Reported Risk-Standardized Hospital Mortality and Readmission Rates
Pollock BD, Herrin J, Neville MR, Dowdy SC, Franco P, Shah ND, Ting HH. Association of Do-Not-Resuscitate Patient Case Mix With Publicly Reported Risk-Standardized Hospital Mortality and Readmission Rates. JAMA Network Open 2020, 3: e2010383. PMID: 32662845, PMCID: PMC7361656, DOI: 10.1001/jamanetworkopen.2020.10383.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesChronic obstructive pulmonary diseaseAcute myocardial infarctionRevision diagnosis codesHeart failureCross-sectional studyDNR statusReadmission cohortInpatient encountersMortality cohortHighest quintileDiagnosis codesTenth Revision diagnosis codesNinth Revision diagnosis codesAcute care transfersStandard Analytical FilesObstructive pulmonary diseaseCMS Hospital Compare websitePatient-level dataHospital-level performanceHospital-level dataInternational Statistical ClassificationRelated Health ProblemsHospital Compare websiteHospital mortality
2019
What is the effect of a decision aid in potentially vulnerable parents? Insights from the head CT choice randomized trial
Skains RM, Kuppermann N, Homme JL, Kharbanda AB, Tzimenatos L, Louie JP, Cohen DM, Nigrovic LE, Westphal JJ, Shah ND, Inselman J, Ferrara MJ, Herrin J, Montori VM, Hess EP. What is the effect of a decision aid in potentially vulnerable parents? Insights from the head CT choice randomized trial. Health Expectations 2019, 23: 63-74. PMID: 31758633, PMCID: PMC6978876, DOI: 10.1111/hex.12965.Peer-Reviewed Original ResearchConceptsLow health literacyPhysician trustNon-white parentsHealth literacyDecisional conflictImportant traumatic brain injuryTraumatic brain injuryDecision aidLess decisional conflictDisadvantaged parentsGreater increaseUsual careIntermediate riskVulnerable parentsBrain injuryHigher numeracySecondary analysisSubgroup effectsArm assignmentPatient dyadsSocioeconomic statusTrialsRegression modelsParent characteristicsParentsRisk of Gastrointestinal Bleeding Increases With Combinations of Antithrombotic Agents and Patient Age
Abraham NS, Noseworthy PA, Inselman J, Herrin J, Yao X, Sangaralingham LR, Cornish G, Ngufor C, Shah ND. Risk of Gastrointestinal Bleeding Increases With Combinations of Antithrombotic Agents and Patient Age. Clinical Gastroenterology And Hepatology 2019, 18: 337-346.e19. PMID: 31108228, PMCID: PMC7386161, DOI: 10.1016/j.cgh.2019.05.017.Peer-Reviewed Original ResearchConceptsGastrointestinal bleedingAntiplatelet monotherapyGIB riskAntiplatelet agentsRisk of GIBCombination antithrombotic therapyDifferent antithrombotic regimensDifferent antithrombotic strategiesDrug exposure categoriesProportion of patientsNationwide claims dataMedicare Advantage enrolleesAntithrombotic regimensBleeding increasesAntithrombotic therapyAntithrombotic strategiesElderly patientsCombination regimensPatient ageCombination therapyPrimary diagnosisAntithrombotic drugsAntithrombotic agentsCardiovascular conditionsRetrospective analysisDo pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study
Riley C, Roy B, Herrin J, Spatz E, Silvestri MT, Arora A, Kell KP, Rula EY, Krumholz HM. Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study. BMJ Open 2019, 9: e024143. PMID: 31048427, PMCID: PMC6501974, DOI: 10.1136/bmjopen-2018-024143.Peer-Reviewed Original ResearchConceptsPreterm birthCross-sectional studyIndividual risk factorsPreterm deliveryRisk factorsPregnant womenLower riskMaternal risk factorsPrimary outcome measurePrimary independent variableGestational ageMaternal riskOutcome measuresUS birthsHealth StatisticsBirth dataBeing IndexWomenBirthGallup-Sharecare WellLower ratesQuintileRiskDeliveryPopulationA Prognostic Index to Identify the Risk of Developing Depression Symptoms Among U.S. Medical Students Derived From a National, Four-Year Longitudinal Study
Dyrbye LN, Wittlin NM, Hardeman RR, Yeazel M, Herrin J, Dovidio JF, Burke SE, Cunningham B, Phelan SM, Shanafelt TD, van Ryn M. A Prognostic Index to Identify the Risk of Developing Depression Symptoms Among U.S. Medical Students Derived From a National, Four-Year Longitudinal Study. Academic Medicine 2019, 94: 217-226. PMID: 30188367, DOI: 10.1097/acm.0000000000002437.Peer-Reviewed Original ResearchConceptsRisk groupsBaseline depression symptomsPrognostic indexDepression symptomsIndependent prognostic factorHigh-risk groupLow-risk groupSocial supportPrimary prevention approachReplication datasetU.S. medical studentsBaseline factorsPrognostic factorsC-statisticOdds ratioMedical studentsMultivariate analysisSymptomsBaseline individualDepressionPrevention approachesLongitudinal studyMedical schoolsRiskDiscovery dataset
2018
Recurrent hospitalizations for severe hypoglycemia and hyperglycemia among U.S. adults with diabetes
McCoy RG, Herrin J, Lipska KJ, Shah ND. Recurrent hospitalizations for severe hypoglycemia and hyperglycemia among U.S. adults with diabetes. Journal Of Diabetes And Its Complications 2018, 32: 693-701. PMID: 29751961, PMCID: PMC6015781, DOI: 10.1016/j.jdiacomp.2018.04.007.Peer-Reviewed Original ResearchConceptsRecurrent hyperglycemiaRecurrent hypoglycemiaNew glucose-lowering medicationsPost-discharge managementGlucose-lowering medicationsHigh-risk patientsOptumLabs Data WarehouseHypoglycemia hospitalizationIndex dischargeOlder patientsRisk patientsUnrelated causesSevere hypoglycemiaRecurrent hospitalizationsNational cohortEarly recognitionPrincipal diagnosisRisk factorsRetrospective analysisHyperglycemiaHypoglycemiaPatientsReadmissionU.S. adultsHospitalization
2017
Predictors of Return Visits Among Insured Emergency Department Mental Health and Substance Abuse Patients, 2005-2013
Lee S, Herrin J, Bobo WV, Johnson R, Sangaralingham LR, Campbell RL. Predictors of Return Visits Among Insured Emergency Department Mental Health and Substance Abuse Patients, 2005-2013. Western Journal Of Emergency Medicine 2017, 18: 884-893. PMID: 28874941, PMCID: PMC5576625, DOI: 10.5811/westjem.2017.6.33850.Peer-Reviewed Original ResearchConceptsED visitsReturn visitsInpatient admissionsOptum Labs Data WarehouseMental healthChronic medical comorbiditiesContinuous insurance enrollmentFirst ED visitIndex ED visitRetrospective cohort studyAdministrative claims dataMedicare Advantage enrolleesPrior EDMedical comorbiditiesCohort studyAcute carePrimary diagnosisStudy inclusionRisk factorsInpatient utilizationClaims dataIncreased ageSubstance abusePatientsStudy periodTrends in Cardiovascular Health of US Adults by Income, 2005-2014
Beckman AL, Herrin J, Nasir K, Desai NR, Spatz ES. Trends in Cardiovascular Health of US Adults by Income, 2005-2014. JAMA Cardiology 2017, 2: 814-816. PMID: 28593300, PMCID: PMC5815082, DOI: 10.1001/jamacardio.2017.1654.Peer-Reviewed Original Research
2016
Development and validation of a simple risk score to predict 30‐day readmission after percutaneous coronary intervention in a cohort of medicare patients
Minges KE, Herrin J, Fiorilli PN, Curtis JP. Development and validation of a simple risk score to predict 30‐day readmission after percutaneous coronary intervention in a cohort of medicare patients. Catheterization And Cardiovascular Interventions 2016, 89: 955-963. PMID: 27515069, PMCID: PMC5397364, DOI: 10.1002/ccd.26701.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAlgorithmsDecision Support TechniquesFemaleHumansLogistic ModelsMaleMedicareMultivariate AnalysisOdds RatioPatient ReadmissionPercutaneous Coronary InterventionPredictive Value of TestsRegistriesReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsRisk of readmissionPCI patientsRisk scoreMultivariable logistic regression modelRisk score developmentDays of dischargeSimple risk scoreTime of dischargeModel c-statisticLogistic regression modelsStepwise selection modelCathPCI RegistryHospital dischargeReadmission ratesClinical factorsRevascularization proceduresValidation cohortC-statisticReadmissionHigh riskMedicare feeLower riskService claimsPatientsCohortImpact of Prostate-specific Antigen (PSA) Screening Trials and Revised PSA Screening Guidelines on Rates of Prostate Biopsy and Postbiopsy Complications
Gershman B, Van Houten HK, Herrin J, Moreira DM, Kim SP, Shah ND, Karnes RJ. Impact of Prostate-specific Antigen (PSA) Screening Trials and Revised PSA Screening Guidelines on Rates of Prostate Biopsy and Postbiopsy Complications. European Urology 2016, 71: 55-65. PMID: 26995328, DOI: 10.1016/j.eururo.2016.03.015.Peer-Reviewed Original ResearchConceptsRate of biopsyProstate-specific antigen (PSA) screeningPredictors of complicationsPostbiopsy complicationsUSPSTF recommendationsAntigen screeningProstate biopsyRelative morbidityScreening TrialUS Preventive Services Task Force (USPSTF) recommendationOvarian Cancer Screening TrialAmerican Urological Association guidelinesMorbidity of biopsyPrior fluoroquinolone useEuropean Randomized StudyCancer Screening TrialInterrupted time series analysisProportion of menTask Force recommendationsInfectious complicationsAnticoagulant useComplication rateUnderwent biopsyRandomized studyScreening guidelines
2015
Do Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study
Krumholz HM, Chaudhry SI, Spertus JA, Mattera JA, Hodshon B, Herrin J. Do Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study. JACC Heart Failure 2015, 4: 12-20. PMID: 26656140, PMCID: PMC5459404, DOI: 10.1016/j.jchf.2015.07.017.Peer-Reviewed Original ResearchConceptsReadmission ratesPatient-reported informationHeart failureHealth statusReadmission riskC-statisticRisk scorePsychosocial variablesMedical record abstractionWeeks of dischargeReadmission risk modelNon-clinical factorsCandidate risk factorsReadmission risk predictionRecord abstractionClinical variablesPatient interviewsMedical recordsRisk factorsPatientsPsychosocial informationPsychosocial characteristicsTelephone interviewsRisk predictionScoresAssociation of Physician Certification in Interventional Cardiology With In-Hospital Outcomes of Percutaneous Coronary Intervention
Fiorilli PN, Minges KE, Herrin J, Messenger JC, Ting HH, Nallamothu BK, Lipner RS, Hess BJ, Holmboe ES, Brennan JJ, Curtis JP. Association of Physician Certification in Interventional Cardiology With In-Hospital Outcomes of Percutaneous Coronary Intervention. Circulation 2015, 132: 1816-1824. PMID: 26384518, PMCID: PMC4641797, DOI: 10.1161/circulationaha.115.017523.Peer-Reviewed Original ResearchConceptsEmergency coronary artery bypassPercutaneous coronary interventionCoronary artery bypassArtery bypassVascular complicationsHospital mortalityEnd pointHospital outcomesCoronary interventionPCI proceduresIn-Hospital OutcomesPrimary end pointSecondary end pointsComposite end pointRisk of bleedingHierarchical multivariable modelInternal Medicine certificationAmerican BoardCathPCI RegistryPatient characteristicsPCI volumeUnadjusted outcomesAdverse outcomesPatient outcomesMultivariable modelLong-term Outcomes After Stepping Down Asthma Controller Medications A Claims-Based, Time-to-Event Analysis
Rank MA, Johnson R, Branda M, Herrin J, van Houten H, Gionfriddo MR, Shah ND. Long-term Outcomes After Stepping Down Asthma Controller Medications A Claims-Based, Time-to-Event Analysis. CHEST Journal 2015, 148: 630-639. PMID: 25997080, PMCID: PMC4556120, DOI: 10.1378/chest.15-0301.Peer-Reviewed Original ResearchMeSH KeywordsAdministration, InhalationAgedAged, 80 and overAnti-Asthmatic AgentsAsthmaComorbidityDrug Administration ScheduleEmergency Service, HospitalFemaleHospitalizationHumansInsurance Claim ReviewMaleMedicare Part CMedication AdherenceRecurrenceRetrospective StudiesRisk FactorsTreatment OutcomeUnited StatesConceptsAsthma controller medicationsAsthma exacerbationsLong-term outcomesController medicationsAsthma stabilityAsthma medicationsHealth-care provider guidanceFirst asthma exacerbationED visitsPrimary outcomeAdherence lapsesMedicationsExacerbationFour-month intervalsProvider guidanceStudy settingEvent analysisRetrospective timeMonthsAsthmaOutcomesIndividualsHospitalizationPeriodMonth stability
2014
Effect of Age on Survival Between Open Repair and Surveillance for Small Abdominal Aortic Aneurysms
Filardo G, Lederle FA, Ballard DJ, Hamilton C, da Graca B, Herrin J, Sass DM, Johnson GR, Powell JT. Effect of Age on Survival Between Open Repair and Surveillance for Small Abdominal Aortic Aneurysms. The American Journal Of Cardiology 2014, 114: 1281-1286. PMID: 25159236, DOI: 10.1016/j.amjcard.2014.07.055.Peer-Reviewed Original ResearchConceptsAbdominal aortic aneurysmImmediate open repairAsymptomatic abdominal aortic aneurysmSmall abdominal aortic aneurysmsOpen repairAortic aneurysmEffect of ageFirst-line management strategyPooled patient-level dataNonclinical risk factorsUnited Kingdom Small Aneurysm TrialPatient-level dataLack of benefitSignificant differencesAneurysm TrialRisk factorsTreatment groupsPatientsAneurysmsLack of differenceTrialsSurvivalAgeWomenManagement trialsEffectiveness of the Chest Pain Choice decision aid in emergency department patients with low-risk chest pain: study protocol for a multicenter randomized trial
Anderson RT, Montori VM, Shah ND, Ting HH, Pencille LJ, Demers M, Kline JA, Diercks DB, Hollander JE, Torres CA, Schaffer JT, Herrin J, Branda M, Leblanc A, Hess EP. Effectiveness of the Chest Pain Choice decision aid in emergency department patients with low-risk chest pain: study protocol for a multicenter randomized trial. Trials 2014, 15: 166. PMID: 24884807, PMCID: PMC4031497, DOI: 10.1186/1745-6215-15-166.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAngina, UnstableCardiology Service, HospitalClinical ProtocolsCommunicationConflict, PsychologicalDecision Support TechniquesEmergency Service, HospitalHealth Knowledge, Attitudes, PracticeHealth ResourcesHumansMyocardial InfarctionPatient Education as TopicPhysician-Patient RelationsPredictive Value of TestsPrognosisResearch DesignRisk AssessmentRisk FactorsSurveys and QuestionnairesTime FactorsUnited StatesVideo RecordingConceptsAdvanced cardiac testingAcute coronary syndromeDiverse emergency departmentsEmergency departmentCardiac testingHealthcare utilizationLow-risk chest pain patientsLow-risk chest painMajor adverse cardiac eventsMethods/designThisAdverse cardiac eventsLow-risk patientsProportion of patientsChest pain patientsCommon reason patientsEmergency department patientsPatient-clinician discussionsHospital billing recordsPatient-centered outcomesElectronic medical recordsAvailable management optionsDecision aidChest painCoronary syndromeUsual care
2013
Immediate Open Repair vs Surveillance in Patients with Small Abdominal Aortic Aneurysms: Survival Differences by Aneurysm Size
Filardo G, Lederle FA, Ballard DJ, Hamilton C, da Graca B, Herrin J, Harbor J, VanBuskirk JB, Johnson GR, Powell JT. Immediate Open Repair vs Surveillance in Patients with Small Abdominal Aortic Aneurysms: Survival Differences by Aneurysm Size. Mayo Clinic Proceedings 2013, 88: 910-919. PMID: 24001483, DOI: 10.1016/j.mayocp.2013.05.014.Peer-Reviewed Original ResearchConceptsImmediate open repairAbdominal aortic aneurysmOpen repairSurvival differencesAAA sizeSurvival benefitAortic aneurysmUK Small Aneurysm TrialAsymptomatic abdominal aortic aneurysmLarge abdominal aortic aneurysmSmall asymptomatic abdominal aortic aneurysmsSmall abdominal aortic aneurysmsImmediate endovascular repairNonclinical risk factorsSignificant survival benefitFirst-line managementSignificant survival differenceProportional hazards modelEndovascular repairSurveillance patientsAdjusted analysisStudy cohortAneurysm TrialRecent trialsRisk factors
2010
Impact of Hospice Disenrollment on Health Care Use and Medicare Expenditures for Patients With Cancer
Carlson MD, Herrin J, Du Q, Epstein AJ, Barry CL, Morrison RS, Back AL, Bradley EH. Impact of Hospice Disenrollment on Health Care Use and Medicare Expenditures for Patients With Cancer. Journal Of Clinical Oncology 2010, 28: 4371-4375. PMID: 20805463, PMCID: PMC2954136, DOI: 10.1200/jco.2009.26.1818.Peer-Reviewed Original ResearchConceptsHealth care useHospice disenrollmentCare useMedicare expendituresHospice usersEmergency departmentIntensive care unit admissionEnd Results-Medicare dataHigher health care useDisease-directed treatmentCare unit admissionRate of hospitalizationIntensive care unitLargest diagnostic groupResult of cancerTotal Medicare expendituresHospital deathUnit admissionCare unitMultivariable analysisFamily caregiversPatientsHospice teamPatient careDiagnostic groups