Featured Publications
Identifying 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 Value
2024
Calculation 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
Association 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
Quality 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 feedbackSurvival After Cancer Treatment at Top-Ranked US Cancer Hospitals vs Affiliates of Top-Ranked Cancer Hospitals
Boffa DJ, Mallin K, Herrin J, Resio B, Salazar MC, Palis B, Facktor M, McCabe R, Nelson H, Shulman LN. Survival After Cancer Treatment at Top-Ranked US Cancer Hospitals vs Affiliates of Top-Ranked Cancer Hospitals. JAMA Network Open 2020, 3: e203942. PMID: 32453382, PMCID: PMC7251445, DOI: 10.1001/jamanetworkopen.2020.3942.Peer-Reviewed Original ResearchConceptsLong-term survivalCancer HospitalSurgical treatmentShort-term survivalComplex cancer treatmentAffiliate hospitalsCancer treatmentCancer careAdjusted long-term survivalNational Cancer DatabaseAnnual surgical volumeComplex cancer careIndividuals 18 yearsComplex surgical proceduresPerioperative mortalityCohort studyAffiliated HospitalPooled analysisBladder cancerCancer DatabasePatient outcomesSurgical volumeSurgical proceduresMAIN OUTCOMESurvival advantage
2019
Differential 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 providersMeasuring hospital‐specific disparities by dual eligibility and race to reduce health inequities
Lloren A, Liu S, Herrin J, Lin Z, Zhou G, Wang Y, Kuang M, Zhou S, Farietta T, McCole K, Charania S, Sheares K, Bernheim S. Measuring hospital‐specific disparities by dual eligibility and race to reduce health inequities. Health Services Research 2019, 54: 243-254. PMID: 30666634, PMCID: PMC6341208, DOI: 10.1111/1475-6773.13108.Peer-Reviewed Original ResearchConceptsAfrican American racePatient case mixDual eligibilityReadmission ratesAmerican raceRisk-standardized outcomesHigher readmission ratesDual eligibility statusAcute myocardial infarctionAfrican American patientsRisk-standardized readmission ratesAcute care hospitalsQuality of careMedicaid Services methodologyHealth care qualityHospital disparitiesCare hospitalHeart failureInpatient admissionsMyocardial infarctionAmerican patientsMedicare patientsCase mixHealth outcomesHospital
2016
Association Between Hospital Penalty Status Under the Hospital Readmission Reduction Program and Readmission Rates for Target and Nontarget Conditions
Desai NR, Ross JS, Kwon JY, Herrin J, Dharmarajan K, Bernheim SM, Krumholz HM, Horwitz LI. Association Between Hospital Penalty Status Under the Hospital Readmission Reduction Program and Readmission Rates for Target and Nontarget Conditions. JAMA 2016, 316: 2647-2656. PMID: 28027367, PMCID: PMC5599851, DOI: 10.1001/jama.2016.18533.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramAcute myocardial infarctionReadmission ratesReadmissions Reduction ProgramHeart failurePenalty statusNontarget conditionsMedicare feeMean readmission rateThirty-day riskRetrospective cohort studyUnplanned readmission rateReduction programsHRRP announcementHRRP implementationPenalized hospitalsCohort studyService patientsMyocardial infarctionMAIN OUTCOMEExcess readmissionsMedicare beneficiariesService beneficiariesHospitalPatients
2015
Patient and family engagement: a survey of US hospital practices
Herrin J, Harris KG, Kenward K, Hines S, Joshi MS, Frosch DL. Patient and family engagement: a survey of US hospital practices. BMJ Quality & Safety 2015, 25: 182. PMID: 26082560, PMCID: PMC4789699, DOI: 10.1136/bmjqs-2015-004006.Peer-Reviewed Original Research
2014
Development and use of an administrative claims measure for profiling hospital-wide performance on 30-day unplanned readmission.
Horwitz LI, Partovian C, Lin Z, Grady JN, Herrin J, Conover M, Montague J, Dillaway C, Bartczak K, Suter LG, Ross JS, Bernheim SM, Krumholz HM, Drye EE. Development and use of an administrative claims measure for profiling hospital-wide performance on 30-day unplanned readmission. Annals Of Internal Medicine 2014, 161: s66-75. PMID: 25402406, PMCID: PMC4235629, DOI: 10.7326/m13-3000.Peer-Reviewed Original ResearchConceptsUnplanned readmissionReadmission measuresReadmission ratesReadmission riskMedicare feeHospital-wide readmission measureRisk-standardized readmission ratesPayer dataAdministrative Claims MeasureRisk-standardized ratesAverage-risk patientsUnplanned readmission rateDays of dischargeHospital risk-standardized readmission ratesAdult hospitalizationsComorbid conditionsPrincipal diagnosisClaims dataService claimsService beneficiariesReadmissionMeasure development studiesMedicaid ServicesRisk adjustmentHospitalCommunity Factors and Hospital Readmission Rates
Herrin J, St. Andre J, Kenward K, Joshi MS, Audet A, Hines SC. Community Factors and Hospital Readmission Rates. Health Services Research 2014, 50: 20-39. PMID: 24712374, PMCID: PMC4319869, DOI: 10.1111/1475-6773.12177.Peer-Reviewed Original ResearchConceptsHospital readmission ratesReadmission ratesAcute myocardial infarctionHeart failureRisk-standardized readmission ratesHigher readmission ratesCommunity factorsCounty characteristicsNursing Home CompareArea Resource FileMultivariable analysisMeasures of accessMyocardial infarctionCounty demographicsHospitalStrong associationStudy sampleResource FilePneumoniaInfarctionPatientsFactorsNational variationsCareRate
2013
HIV Screening Practices and Hospital Characteristics in the U.S., 2009–2010
Herrin J, Wesolowski LG, Heffelfinger JD, Bostick N, Hall HI, Ethridge SF, Branson BM. HIV Screening Practices and Hospital Characteristics in the U.S., 2009–2010. Public Health Reports 2013, 128: 161-169. PMID: 23633731, PMCID: PMC3610068, DOI: 10.1177/003335491312800306.Peer-Reviewed Original ResearchConceptsHospital characteristicsU.S. health care settingsMultivariate logistic regression analysisHIV screening practicesUndiagnosed HIV infectionHIV testing practicesNational hospital surveyLogistic regression analysisHealth care settingsType of hospitalCharacteristics of hospitalsAreas of prevalenceHIV screeningHIV infectionMultivariable analysisHIV prevalenceScreening practicesTeaching hospitalAnnual admissionsMedicaid patientsHospital SurveyPatientsHospitalBivariate analysisDisease control
2012
Hospital strategies for reducing risk-standardized mortality rates in acute myocardial infarction.
Bradley EH, Curry LA, Spatz ES, Herrin J, Cherlin EJ, Curtis JP, Thompson JW, Ting HH, Wang Y, Krumholz HM. Hospital strategies for reducing risk-standardized mortality rates in acute myocardial infarction. Annals Of Internal Medicine 2012, 156: 618-26. PMID: 22547471, PMCID: PMC3386642, DOI: 10.7326/0003-4819-156-9-201205010-00003.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionLower risk-standardized mortality ratesMyocardial infarctionNurse championsMortality rateHospital strategiesHospital risk-standardized mortality ratesHospital-level factorsIntensive care unitAcute care hospitalsCardiac catheterization laboratoryCross-sectional surveyUnited Health FoundationCare hospitalCare unitCross-sectional designAMI casesAMI volumeCatheterization laboratoryHospital cliniciansHospitalMultivariate analysisPatientsHealth Foundation
2011
National Performance on Door-In to Door-Out Time Among Patients Transferred for Primary Percutaneous Coronary Intervention
Herrin J, Miller LE, Turkmani DF, Nsa W, Drye EE, Bernheim SM, Ling SM, Rapp MT, Han LF, Bratzler DW, Bradley EH, Nallamothu BK, Ting HH, Krumholz HM. National Performance on Door-In to Door-Out Time Among Patients Transferred for Primary Percutaneous Coronary Intervention. JAMA Internal Medicine 2011, 171: 1879-1886. PMID: 22123793, PMCID: PMC4312661, DOI: 10.1001/archinternmed.2011.481.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionDIDO timeCoronary interventionST-segment elevation acute myocardial infarctionMixed-effects multivariable modelElevation acute myocardial infarctionPrimary percutaneous coronary interventionMedian DIDO timeAcute myocardial infarctionFibrinolytic therapyPatient characteristicsMultivariable analysisEmergency departmentMyocardial infarctionHospital characteristicsMultivariable modelPatientsRural hospitalsHospitalMedicaid ServicesAge categoriesInterventionAfrican AmericansMinutesTreatment timeImprovements in Door-to-Balloon Time in the United States, 2005 to 2010
Krumholz HM, Herrin J, Miller LE, Drye EE, Ling SM, Han LF, Rapp MT, Bradley EH, Nallamothu BK, Nsa W, Bratzler DW, Curtis JP. Improvements in Door-to-Balloon Time in the United States, 2005 to 2010. Circulation 2011, 124: 1038-1045. PMID: 21859971, PMCID: PMC3598634, DOI: 10.1161/circulationaha.111.044107.Peer-Reviewed Original ResearchConceptsPrimary percutaneous coronary interventionPercutaneous coronary interventionBalloon timeCoronary interventionMedian timeST-segment elevation myocardial infarctionHigher median timeCharacteristics of patientsPercentage of patientsTimeliness of treatmentYears of ageRegistry studyMyocardial infarctionInpatient measuresPatientsHospital groupMedicaid ServicesCalendar yearInterventionMinutesMedianGroupYearsPercentageInfarction
2010
Variation in Hospital Mortality Rates for Patients With Acute Myocardial Infarction
Bradley EH, Herrin J, Curry L, Cherlin EJ, Wang Y, Webster TR, Drye EE, Normand SL, Krumholz HM. Variation in Hospital Mortality Rates for Patients With Acute Myocardial Infarction. The American Journal Of Cardiology 2010, 106: 1108-1112. PMID: 20920648, DOI: 10.1016/j.amjcard.2010.06.014.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHospital characteristicsMyocardial infarctionMortality rateCross-sectional national studyHospital mortality rateHospital patient populationAmerican Hospital Association surveyAMI dischargeMean hospitalHospital outcomesCardiac facilitiesPatient populationAMI volumeMultivariable modelPatient profilesMedicare beneficiariesHospitalHospital bedsPatientsTeaching statusUnited States Census dataStates Census dataInfarctionStatus profileNational quality campaigns: who benefits?
Hansen LO, Herrin J, Nembhard IM, Busch S, Yuan CT, Krumholz HM, Bradley EH. National quality campaigns: who benefits? BMJ Quality & Safety 2010, 19: 275. PMID: 20538628, DOI: 10.1136/qshc.2009.036087.Peer-Reviewed Original Research
2009
National Efforts to Improve Door-to-Balloon Time Results From the Door-to-Balloon Alliance
Bradley EH, Nallamothu BK, Herrin J, Ting HH, Stern AF, Nembhard IM, Yuan CT, Green JC, Kline-Rogers E, Wang Y, Curtis JP, Webster TR, Masoudi FA, Fonarow GC, Brush JE, Krumholz HM. National Efforts to Improve Door-to-Balloon Time Results From the Door-to-Balloon Alliance. Journal Of The American College Of Cardiology 2009, 54: 2423-2429. PMID: 20082933, DOI: 10.1016/j.jacc.2009.11.003.Peer-Reviewed Original ResearchConceptsST-segment elevation myocardial infarctionD2B AllianceBalloon (D2B) AllianceHospital presentationD2B timeNational Cardiovascular Data Registry CathPCI RegistryPrimary percutaneous coronary interventionElevation myocardial infarctionPercutaneous coronary interventionLikelihood of patientsCathPCI RegistryCoronary interventionBalloon timeMyocardial infarctionAmerican CollegePatientsHospitalLongitudinal studyNational Quality CampaignOne-halfPresentationMinNational effortsInfarctionRegistry
2006
Strategies for Reducing the Door-to-Balloon Time in Acute Myocardial Infarction
Bradley EH, Herrin J, Wang Y, Barton BA, Webster TR, Mattera JA, Roumanis SA, Curtis JP, Nallamothu BK, Magid DJ, McNamara RL, Parkosewich J, Loeb JM, Krumholz HM. Strategies for Reducing the Door-to-Balloon Time in Acute Myocardial Infarction. New England Journal Of Medicine 2006, 355: 2308-2320. PMID: 17101617, DOI: 10.1056/nejmsa063117.Peer-Reviewed Original ResearchConceptsST-segment elevationBalloon timeCatheterization laboratoryMyocardial infarctionFaster doorEmergency departmentPrimary percutaneous coronary interventionHospital strategiesIntracoronary balloon inflationPercutaneous coronary interventionAcute myocardial infarctionMinority of hospitalsEmergency medicine physiciansReperfusion treatmentCoronary interventionBalloon inflationMedicine physiciansMultivariate analysisHospitalInfarctionPatientsMedicaid ServicesSignificant reductionReal-time data feedbackData feedback