2022
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 groupsTrends 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
2023
Excess Mortality and Years of Potential Life Lost Among the Black Population in the US, 1999-2020
Caraballo C, Massey D, Ndumele C, Haywood T, Kaleem S, King T, Liu Y, Lu Y, Nunez-Smith M, Taylor H, Watson K, Herrin J, Yancy C, Faust J, Krumholz H. Excess Mortality and Years of Potential Life Lost Among the Black Population in the US, 1999-2020. JAMA 2023, 329: 1662-1670. PMID: 37191702, PMCID: PMC10189563, DOI: 10.1001/jama.2023.7022.Peer-Reviewed Original ResearchConceptsExcess mortality ratesExcess deathsMortality ratePotential lifeWhite populationExcess mortalitySerial cross-sectional studyHighest excess mortality ratesBlack populationCause-specific mortalityCross-sectional studyHigh mortality rateNon-Hispanic whitesYears of lifeUS national dataMiddle-aged adultsCause mortalityHeart diseaseDeath certificatesNon-Hispanic black populationMAIN OUTCOMEAge groupsDisease controlMortalityBlack malesNonexercise machine learning models for maximal oxygen uptake prediction in national population surveys.
Liu Y, Herrin J, Huang C, Khera R, Dhingra L, Dong W, Mortazavi B, Krumholz H, Lu Y. Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys. Journal Of The American Medical Informatics Association 2023, 30: 943-952. PMID: 36905605, PMCID: PMC10114129, DOI: 10.1093/jamia/ocad035.Peer-Reviewed Original Research
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 decreaseAdultsNational 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 controlTrends 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 healthHealthPercentage
2018
Population 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
2008
An Administrative Claims Measure Suitable for Profiling Hospital Performance on the Basis of 30-Day All-Cause Readmission Rates Among Patients With Heart Failure
Keenan PS, Normand SL, Lin Z, Drye EE, Bhat KR, Ross JS, Schuur JD, Stauffer BD, Bernheim SM, Epstein AJ, Wang Y, Herrin J, Chen J, Federer JJ, Mattera JA, Wang Y, Krumholz HM. An Administrative Claims Measure Suitable for Profiling Hospital Performance on the Basis of 30-Day All-Cause Readmission Rates Among Patients With Heart Failure. Circulation Cardiovascular Quality And Outcomes 2008, 1: 29-37. PMID: 20031785, DOI: 10.1161/circoutcomes.108.802686.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesCause readmission rateReadmission ratesHeart failureHospital-level readmission ratesAdjusted readmission ratesAdministrative Claims MeasureUnadjusted readmission ratesHeart failure patientsHospital risk-standardized readmission ratesMedical record dataProfiling Hospital PerformanceHierarchical logistic regression modelsUse of MedicareMedical record modelNational Quality ForumLogistic regression modelsCause readmissionClaims-based modelsHospital dischargeFailure patientsC-statisticPreventable eventsPatientsQuality Forum
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 disordersLearning 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-upThe PAX LC Trial: A Decentralized, Phase 2, Randomized, Double-blind Study of Nirmatrelvir/Ritonavir Compared with Placebo/Ritonavir for Long COVID
Krumholz H, Sawano M, Bhattacharjee B, Caraballo C, Khera R, Li S, Herrin J, Coppi A, Holub J, Henriquez Y, Johnson M, Goddard T, Rocco E, Hummel A, Al Mouslmani M, Putrino D, Carr K, Carvajal-Gonzalez S, Charnas L, De Jesus M, Ziegler F, Iwasaki A. The PAX LC Trial: A Decentralized, Phase 2, Randomized, Double-blind Study of Nirmatrelvir/Ritonavir Compared with Placebo/Ritonavir for Long COVID. The American Journal Of Medicine 2024 PMID: 38735354, DOI: 10.1016/j.amjmed.2024.04.030.Peer-Reviewed Original ResearchLC trialPROMIS-29Participants' homesTargeting viral persistencePlacebo-controlled trialDouble-blind studyElectronic health recordsCore Outcome MeasuresLong COVIDEQ-5D-5LRepeated measures analysisEvidence-based treatmentsPhase 2Double-blindParticipant-centred approachStudy drugPrimary endpointSecondary endpointsCommunity-dwellingHealth recordsHealthcare utilizationContiguous US statesViral persistencePatient groupDrug treatmentLong COVID Characteristics and Experience: A Descriptive Study from the Yale LISTEN Research Cohort
Sawano M, Wu Y, Shah R, Zhou T, Arun A, Khosla P, Kaleem S, Vashist A, Bhattacharjee B, Ding Q, Lu Y, Caraballo C, Warner F, Huang C, Herrin J, Putrino D, Michelsen T, Fisher L, Adinig C, Iwasaki A, Krumholz H. Long COVID Characteristics and Experience: A Descriptive Study from the Yale LISTEN Research Cohort. The American Journal Of Medicine 2024 PMID: 38663793, DOI: 10.1016/j.amjmed.2024.04.015.Peer-Reviewed Original ResearchExperiences of peopleHealth statusLong COVIDLower health statusNew-onset conditionsCommunity support servicesNon-Hispanic whitesArray of healthQuality of lifeVisual analogue scaleMental healthPsychological distressPsychological statusDescriptive studyHealthcare systemMedian scoreSupport servicesResearch cohortSocial isolationDemographic characteristicsAnalogue scaleImpact of long COVIDHealthFinancial stressParticipants
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 quintileTimely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data
Li SX, Wang Y, Lama SD, Schwartz J, Herrin J, Mei H, Lin Z, Bernheim SM, Spivack S, Krumholz HM, Suter LG. Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data. BMC Health Services Research 2020, 20: 733. PMID: 32778098, PMCID: PMC7416804, DOI: 10.1186/s12913-020-05611-w.Peer-Reviewed Original ResearchAn instrument for assessing the quality of informed consent documents for elective procedures: development and testing
Spatz ES, Suter LG, George E, Perez M, Curry L, Desai V, Bao H, Geary LL, Herrin J, Lin Z, Bernheim SM, Krumholz HM. An instrument for assessing the quality of informed consent documents for elective procedures: development and testing. BMJ Open 2020, 10: e033297. PMID: 32434933, PMCID: PMC7247404, DOI: 10.1136/bmjopen-2019-033297.Peer-Reviewed Original ResearchQuality 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 WellPrevalence, Awareness, and Treatment of Isolated Diastolic Hypertension: Insights From the China PEACE Million Persons Project
Mahajan S, Zhang D, He S, Lu Y, Gupta A, Spatz ES, Lu J, Huang C, Herrin J, Liu S, Yang J, Wu C, Cui J, Zhang Q, Li X, Nasir K, Zheng X, Krumholz HM, Li J, Dong Z, Jiang B, Zhang Y, Liu Y, Meng Y, Xi Y, Tian Y, Fu Y, Liu T, Yan S, Jin L, Wang J, Xu X, Xing X, Zhang L, Fang X, Xu Y, Xu C, Fan L, Qi M, Qi J, Li J, Liu Q, Feng Y, Wang J, Wen H, Xu J, He J, Jiang C, Yang C, Yu Y, Tashi Z, Hu Z, Zhang J, Li X, Ma S, Ma Y, Huang Y, Zhang Y, Shen J. Prevalence, Awareness, and Treatment of Isolated Diastolic Hypertension: Insights From the China PEACE Million Persons Project. Journal Of The American Heart Association 2019, 8: e012954. PMID: 31566101, PMCID: PMC6806046, DOI: 10.1161/jaha.119.012954.Peer-Reviewed Original ResearchConceptsMillion Persons ProjectPrior cardiovascular eventsBody mass indexAntihypertensive medicationsDiastolic hypertensionCardiovascular eventsDiabetes mellitusMass indexIsolated diastolic hypertensionDiastolic blood pressureSelf-reported diagnosisTreatment of peoplePersons ProjectBlood pressureTreatment patternsHypertensionLeast collegeHigher likelihoodMellitusMedicationsPrevalenceTreatmentDiagnosisSubstantial numberCurrent useDisparities in Socioeconomic Context and Association With Blood Pressure Control and Cardiovascular Outcomes in ALLHAT
Shahu A, Herrin J, Dhruva SS, Desai NR, Davis BR, Krumholz HM, Spatz ES. Disparities in Socioeconomic Context and Association With Blood Pressure Control and Cardiovascular Outcomes in ALLHAT. Journal Of The American Heart Association 2019, 8: e012277. PMID: 31362591, PMCID: PMC6761647, DOI: 10.1161/jaha.119.012277.Peer-Reviewed Original ResearchConceptsBlood pressure controlLow-income sitesCardiovascular outcomesPressure controlALLHAT participantsPoor blood pressure controlEnd-stage renal diseaseHospitalization/mortalityAdverse cardiovascular eventsCardiovascular risk factorsWorse cardiovascular outcomesHigh blood pressureStandardized treatment protocolRandomized clinical trialsBackground Observational studiesLow socioeconomic statusHighest income quintileAngina hospitalizationCardiovascular eventsCause mortalityCoronary revascularizationClinical characteristicsBlood pressureRenal diseaseClinical outcomes