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 model
2024
Internal tremors and vibrations in long COVID: a cross-sectional study
Zhou T, Sawano M, Arun A, Caraballo C, Michelsen T, McAlpine L, Bhattacharjee B, Lu Y, Khera R, Huang C, Warner F, Herrin J, Iwasaki A, Krumholz H. Internal tremors and vibrations in long COVID: a cross-sectional study. The American Journal Of Medicine 2024 PMID: 39069199, DOI: 10.1016/j.amjmed.2024.07.008.Peer-Reviewed Original ResearchNew-onset conditionsInternal tremorLong COVID symptomsCOVID symptomsNon-Hispanic whitesCross-sectional studyQuality of lifeVisual analogue scaleWorse healthHealth statusStudy participantsDemographic characteristicsAnalogue scaleOutcome variablesNeurological conditionsLong COVIDMast cell disordersTreatment experienceHealthComorbiditiesSymptomsMedian agePeopleCell disordersCalculation 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 groupMeasuring 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 percentage
2021
Trends in Differences in Health Status and Health Care Access and Affordability by Race and Ethnicity in the United States, 1999-2018
Mahajan S, Caraballo C, Lu Y, Valero-Elizondo J, Massey D, Annapureddy AR, Roy B, Riley C, Murugiah K, Onuma O, Nunez-Smith M, Forman HP, Nasir K, Herrin J, Krumholz HM. Trends in Differences in Health Status and Health Care Access and Affordability by Race and Ethnicity in the United States, 1999-2018. JAMA 2021, 326: 637-648. PMID: 34402830, PMCID: PMC8371573, DOI: 10.1001/jama.2021.9907.Peer-Reviewed Original ResearchConceptsHealth care accessFair health statusSelf-reported health statusCare accessHealth statusWhite individualsEthnic differencesLatino/HispanicNational Health Interview Survey dataSerial cross-sectional studySelf-reported functional limitationsBlack individualsHealth Interview Survey dataLow incomeCross-sectional studyCross-sectional survey studyInterview Survey dataSelf-reported raceSelf-report measuresMAIN OUTCOMEUS adultsFunctional limitationsPercentage of peopleSignificant decreaseAdultsTrends and geographical variation in population thriving, struggling and suffering across the USA, 2008–2017: a retrospective repeated cross-sectional study
Riley C, Herrin J, Lam V, Hamar B, Witters D, Liu D, Krumholz HM, Roy B. Trends and geographical variation in population thriving, struggling and suffering across the USA, 2008–2017: a retrospective repeated cross-sectional study. BMJ Open 2021, 11: e043375. PMID: 34261676, PMCID: PMC8281074, DOI: 10.1136/bmjopen-2020-043375.Peer-Reviewed Original ResearchConceptsPercentage of peopleCross-sectional studyWell-Being IndexMarked geographical variationNational HealthRetrospective analysisUS populationCross-sectional sampleLife evaluationGeographical disparitiesGreater improvementCantril SelfCurrent life satisfactionGeographical variationLife optimismNational averageInterventionConceptions of healthHealthPercentageAssociation between 30-day readmission rates and health information technology capabilities in US hospitals
Elysee G, Yu H, Herrin J, Horwitz LI. Association between 30-day readmission rates and health information technology capabilities in US hospitals. Medicine 2021, 100: e24755. PMID: 33663091, PMCID: PMC7909153, DOI: 10.1097/md.0000000000024755.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesHealth IT capabilitiesLower readmission riskReadmission riskReadmission ratesHealth information technologyElectronic health recordsHospital dischargeRetrospective cross-sectional studyU.S. acute care hospitalsHealth recordsAcute care hospitalsCross-sectional studyFragmentation of careHospital-level risk-standardized readmission ratesOne-point increaseHospital Compare websiteHealth information technology capabilitiesCare hospitalOutcome measuresOutpatient providersUS hospitalsCare deliveryPatient accessClinical stakeholders
2020
Identifying characteristics of high-poverty counties in the United States with high well-being: an observational cross-sectional study
Arora A, Spatz ES, Herrin J, Riley C, Roy B, Rula EY, Kell KP, Krumholz HM. Identifying characteristics of high-poverty counties in the United States with high well-being: an observational cross-sectional study. BMJ Open 2020, 10: e035645. PMID: 32948545, PMCID: PMC7500307, DOI: 10.1136/bmjopen-2019-035645.Peer-Reviewed Original ResearchConceptsObservational cross-sectional studyCross-sectional studyHigh-poverty countiesMean wellRobert Wood Johnson Foundation County Health RankingsLow physical inactivityPrimary care physiciansCounty characteristicsPopulation health modelCounty Health RankingsPreventable hospital staysHospital stayCare physiciansHighest quartilePhysical inactivityHigh percentageMAIN OUTCOMELow prevalenceIndex scoreHeavy drinkersHealth RankingsPopulation-level measuresHealth modelBottom quintileTop quintileAssociation 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 mortalityQuality of informed consent documents among US. hospitals: a cross-sectional study
Spatz ES, Bao H, Herrin J, Desai V, Ramanan S, Lines L, Dendy R, Bernheim SM, Krumholz HM, Lin Z, Suter LG. Quality of informed consent documents among US. hospitals: a cross-sectional study. BMJ Open 2020, 10: e033299. PMID: 32434934, PMCID: PMC7247389, DOI: 10.1136/bmjopen-2019-033299.Peer-Reviewed Original ResearchConceptsInformed consent documentsHOSPITAL scoreUS hospitalsMean hospital scoresRetrospective observational studyConsent documentsCross-sectional studyEight-item instrumentService patientsElective proceduresProcedure typeObservational studySurgical proceduresMedicare feeHospitalHospital qualityMeasure scoresInformed consentMost hospitalsSpearman correlationScoresFace validityIndependent ratersOutcomesStakeholder feedback
2019
Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states
Roy B, Riley C, Herrin J, Spatz E, Hamar B, Kell KP, Rula EY, Krumholz H. Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states. BMJ Open 2019, 9: e030017. PMID: 31780588, PMCID: PMC6886944, DOI: 10.1136/bmjopen-2019-030017.Peer-Reviewed Original ResearchConceptsHospitalisation ratesZip codesPrimary care physician densityCross-sectional study SETTINGCancer-related admissionsRespiratory-related admissionsCross-sectional studyQuality of lifeRace/ethnicityCause hospitalisationSecondary outcomesPrimary outcomeHighest quintileUnnecessary hospitalisationAdmission ratesSD increaseHospitalisationLife benefitsPhysician densityStudy settingMain independent variableBeing IndexHospital bedsAdmissionGallup-Sharecare WellDifferential Safety Between Top-Ranked Cancer Hospitals and Their Affiliates for Complex Cancer Surgery
Hoag JR, Resio BJ, Monsalve AF, Chiu AS, Brown LB, Herrin J, Blasberg JD, Kim AW, Boffa DJ. Differential Safety Between Top-Ranked Cancer Hospitals and Their Affiliates for Complex Cancer Surgery. JAMA Network Open 2019, 2: e191912. PMID: 30977848, PMCID: PMC6481444, DOI: 10.1001/jamanetworkopen.2019.1912.Peer-Reviewed Original ResearchConceptsComplex cancer surgeryCancer surgeryCancer HospitalMedicare beneficiariesCancer NetworkRelative safetyStandardized mortality ratioComplex cancer careCross-sectional studyTop-ranked hospitalsMedicaid Services 100Hierarchical logistic regressionPerioperative mortalityAffiliated HospitalCancer careMortality ratioOdds ratioMAIN OUTCOMESurgeryHospitalReview filesDifferential safetyLogistic regressionMortalityMedicare providersDo 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 ratesQuintileRiskDeliveryPopulation
2018
Association of the Overall Well-being of a Population With Health Care Spending for People 65 Years of Age or Older
Riley C, Roy B, Herrin J, Spatz ES, Arora A, Kell KP, Rula EY, Krumholz HM. Association of the Overall Well-being of a Population With Health Care Spending for People 65 Years of Age or Older. JAMA Network Open 2018, 1: e182136. PMID: 30646154, PMCID: PMC6324481, DOI: 10.1001/jamanetworkopen.2018.2136.Peer-Reviewed Original ResearchConceptsMedicare FFS beneficiariesPeople 65 yearsHealth care spendingFFS beneficiariesCare spendingPopulation-based cross-sectional studyLower health care spendingHealth care system capacityCross-sectional studyHealth care systemPopulation levelPayment modelsCare payment modelsHighest quintileInverse associationStudy interventionMAIN OUTCOMEMedicare feeMedicare beneficiariesUS national studyOverall healthMedian household incomeBeing IndexCare systemDemographic characteristicsIdentifying county characteristics associated with resident well-being: A population based study
Roy B, Riley C, Herrin J, Spatz ES, Arora A, Kell KP, Welsh J, Rula EY, Krumholz HM. Identifying county characteristics associated with resident well-being: A population based study. PLOS ONE 2018, 13: e0196720. PMID: 29791476, PMCID: PMC5965855, DOI: 10.1371/journal.pone.0196720.Peer-Reviewed Original ResearchConceptsCounty-level factorsClinical careCross-sectional studyQuality of lifeBetter health outcomesMulti-dimensional assessmentHealth outcomesBeing IndexGallup-Sharecare WellUS residentsCareCounty characteristicsSurvey participantsResident wellUS countiesScoresCounty equivalentsAssessmentFactorsCohort
2015
Association of hospital volume with readmission rates: a retrospective cross-sectional study
Horwitz LI, Lin Z, Herrin J, Bernheim S, Drye EE, Krumholz HM, Hines HJ, Ross JS. Association of hospital volume with readmission rates: a retrospective cross-sectional study. The BMJ 2015, 350: h447. PMID: 25665806, PMCID: PMC4353286, DOI: 10.1136/bmj.h447.Peer-Reviewed Original ResearchConceptsReadmission ratesHospital volumeRetrospective cross-sectional studyUS acute care hospitalsHospital readmission ratesAcute care hospitalsCross-sectional studyMedical cancer treatmentCare hospitalAdult dischargesHospital characteristicsMedicare feeCancer treatmentHospitalAssociationDaysService dataPatientsCardiovascularGynecologyQuintileNeurology
2009
The Utility of Shorter Epochs in Direct Motion Monitoring
Dorsey K, Herrin J, Krumholz H, Irwin M. The Utility of Shorter Epochs in Direct Motion Monitoring. Research Quarterly For Exercise And Sport 2009, 80: 460-468. PMID: 19791632, PMCID: PMC3152374, DOI: 10.1080/02701367.2009.10599584.Peer-Reviewed Original Research
2005
Quality Improvement Efforts and Hospital Performance
Bradley EH, Herrin J, Mattera JA, Holmboe ES, Wang Y, Frederick P, Roumanis SA, Radford MJ, Krumholz HM. Quality Improvement Efforts and Hospital Performance. Medical Care 2005, 43: 282-292. PMID: 15725985, DOI: 10.1097/00005650-200503000-00011.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAgedAged, 80 and overCross-Sectional StudiesDrug Utilization ReviewFemaleHospitalsHumansLeadershipMaleMedical Staff, HospitalMiddle AgedMyocardial InfarctionOrganizational CultureOutcome Assessment, Health CarePractice Patterns, Physicians'Quality Indicators, Health CareRegistriesTotal Quality ManagementUnited StatesConceptsAcute myocardial infarctionBeta-blocker prescription ratesQuality improvement effortsMyocardial infarctionBeta-blocker useHospital teaching statusCross-sectional studyQuality improvement interventionsPatient-level dataPhysician leadershipQuality of careHospital performanceHospital quality improvement effortsImprovement effortsQuality improvement strategiesPrescription ratesBorderline significanceNational registryAMI volumeUS hospitalsImprovement interventionsHospitalTeaching statusEvidence baseHigh/medium