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
2022
Accuracy 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 statistics
2021
Provider 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 scoresProvider Perspectives on the Acceptability, Appropriateness, and Feasibility of Teleneonatology
Fang J, Umoren R, Whyte H, Limjoco J, Makkar A, Yankanah R, McCoy M, Lo M, Colby C, Herrin J, Jacobson R, Demaerschalk B. Provider Perspectives on the Acceptability, Appropriateness, and Feasibility of Teleneonatology. American Journal Of Perinatology 2021 DOI: 10.1055/s-0041-1736587.Peer-Reviewed Original ResearchNeonatal intensive care unitTertiary neonatal intensive care unitNeonatal careCommunity hospitalLevel II special care nurseryProvider perspectivesSpecial care nurseryIntensive care unitPercent of respondentsSurvey response rateCare unitNewborn nurseryLevel IResponse rateMedian scoreTeleneonatologyConclusion ProvidersYears of experienceMean scoreHospitalScoresLevel of experienceCareHigher scoresAcceptability
2020
An 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
Quality Versus Quantity
Chiu AS, Arnold BN, Hoag JR, Herrin J, Kim CH, Salazar MC, Monsalve AF, Jean RA, Blasberg JD, Detterbeck FC, Gross CP, Boffa DJ. Quality Versus Quantity. Annals Of Surgery 2019, Publish Ahead of Print: &na;. PMID: 29697446, DOI: 10.1097/sla.0000000000002762.Peer-Reviewed Original ResearchConceptsComplex cancer surgeryCancer surgerySafe hospitalComplex oncologic surgeryPotential mortality reductionNational Cancer DatabaseHigh-volume hospitalsHospital quality measuresSurgical mortalityPrimary cancerHospital rating systemsOncologic surgeryCancer DatabaseMortality reductionSurgical volumeHospital safetyPatient realignmentPatientsHospitalSurgeryMeaningful reductionPublic reportingMortalityRSMRCancerDifferential 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 beneficiariesHospitalPatientsASSOCIATIONS OF HOSPITAL STRATEGIES AND 30-DAY RISK-STANDARDIZED MORTALITY RATES IN PERCUTANEOUS CORONARY INTERVENTION
Curtis J, Minges K, Herrin J, Desai N, Nallamothu B, Rumsfeld J, Elma M, Chen P, Ting H, Messenger J. ASSOCIATIONS OF HOSPITAL STRATEGIES AND 30-DAY RISK-STANDARDIZED MORTALITY RATES IN PERCUTANEOUS CORONARY INTERVENTION. Journal Of The American College Of Cardiology 2016, 67: 34. DOI: 10.1016/s0735-1097(16)30035-3.Peer-Reviewed Original ResearchASSOCIATIONS OF HOSPITAL STRATEGIES AND 30-DAY RISK-STANDARDIZED READMISSION RATES IN PERCUTANEOUS CORONARY INTERVENTION
Minges K, Herrin J, Desai N, Messenger J, Nallamothu B, Rumsfeld J, Elma M, Chen P, Ting H, Curtis J. ASSOCIATIONS OF HOSPITAL STRATEGIES AND 30-DAY RISK-STANDARDIZED READMISSION RATES IN PERCUTANEOUS CORONARY INTERVENTION. Journal Of The American College Of Cardiology 2016, 67: 2105. DOI: 10.1016/s0735-1097(16)32106-4.Peer-Reviewed Original Research
2015
Assessing Community Quality of Health Care
Herrin J, Kenward K, Joshi MS, Audet AM, Hines SJ. Assessing Community Quality of Health Care. Health Services Research 2015, 51: 98-116. PMID: 26096649, PMCID: PMC4722214, DOI: 10.1111/1475-6773.12322.Peer-Reviewed Original ResearchConceptsHospital service areasNursing homesHospital measuresHospital qualityHigh hospital qualityHealth system factorsAgreement of measuresHigh-quality careHigh-quality hospitalsHome health agenciesDimensions of careComposite quality measureGeneral practitionersCare settingsNH careHealth agenciesQuality hospitalsHospitalCareHealth careSystem factorsAvailable quality measuresQuality measuresHigh differSettingAssociation 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
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
For-profit hospital ownership status and use of brachytherapy after breast-conserving surgery
Sen S, Soulos PR, Herrin J, Roberts KB, Yu JB, Lesnikoski BA, Ross JS, Krumholz HM, Gross CP. For-profit hospital ownership status and use of brachytherapy after breast-conserving surgery. Surgery 2013, 155: 776-788. PMID: 24787104, PMCID: PMC4008843, DOI: 10.1016/j.surg.2013.12.009.Peer-Reviewed Original ResearchConceptsHospital ownership statusBreast-conserving operationsBreast-conserving surgeryUse of brachytherapyRadiation therapyOperative careBreast cancerMedicare beneficiariesOverall useReceipt of brachytherapyAdjuvant radiation therapyInvasive breast cancerFemale Medicare beneficiariesGreater overall useYears of ageShort life expectancyRetrospective studyRT modalityProfit hospitalsExpensive modalityOlder womenBrachytherapy useBreast brachytherapyHospitalBrachytherapyHIV 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