2024
Racial and Ethnic Disparities in Age-Specific All-Cause Mortality During the COVID-19 Pandemic
Faust J, Renton B, Bongiovanni T, Chen A, Sheares K, Du C, Essien U, Fuentes-Afflick E, Haywood T, Khera R, King T, Li S, Lin Z, Lu Y, Marshall A, Ndumele C, Opara I, Loarte-Rodriguez T, Sawano M, Taparra K, Taylor H, Watson K, Yancy C, Krumholz H. Racial and Ethnic Disparities in Age-Specific All-Cause Mortality During the COVID-19 Pandemic. JAMA Network Open 2024, 7: e2438918. PMID: 39392630, DOI: 10.1001/jamanetworkopen.2024.38918.Peer-Reviewed Original ResearchConceptsCOVID-19 public health emergencyNon-HispanicPublic health emergencyOther Pacific IslanderExcess mortalityAlaska NativesUS populationExcess deathsRates of excess mortalityCross-sectional study analyzed dataYears of potential lifeMortality relative riskNon-Hispanic whitesCross-sectional studyPacific IslandersStudy analyzed dataAll-cause mortalityEthnic groupsMortality disparitiesMortality ratioTotal populationDeath certificatesEthnic disparitiesMain OutcomesDecedent ageCalculation 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 ResearchMeSH KeywordsCenters for Medicare and Medicaid Services, U.S.Cross-Sectional StudiesHospitalsHumansQuality Indicators, Health CareQuality of Health CareUnited StatesConceptsCenters 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
2020
Availability of Telemedicine Services Across Hospitals in the United States in 2018: A Cross-sectional Study
Jain S, Khera R, Lin Z, Ross JS, Krumholz HM. Availability of Telemedicine Services Across Hospitals in the United States in 2018: A Cross-sectional Study. Annals Of Internal Medicine 2020, 173: m20-1201. PMID: 32353106, PMCID: PMC7212823, DOI: 10.7326/m20-1201.Peer-Reviewed Original ResearchMeSH KeywordsCross-Sectional StudiesHealth Services AccessibilityHospitalsHumansTelemedicineUnited States
2017
Hospital Characteristics Associated With Risk-standardized Readmission Rates
Horwitz LI, Bernheim SM, Ross JS, Herrin J, Grady JN, Krumholz HM, Drye EE, Lin Z. Hospital Characteristics Associated With Risk-standardized Readmission Rates. Medical Care 2017, 55: 528-534. PMID: 28319580, PMCID: PMC5426655, DOI: 10.1097/mlr.0000000000000713.Peer-Reviewed Original Research
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 ResearchMeSH KeywordsAgedCross-Sectional StudiesHospitals, High-VolumeHospitals, Low-VolumeHumansPatient ReadmissionRetrospective StudiesConceptsReadmission ratesHospital volumeRetrospective cross-sectional studyUS acute care hospitalsHospital readmission ratesAcute care hospitalsCross-sectional studyMedical cancer treatmentCare hospitalAdult dischargesHospital characteristicsMedicare feeCancer treatmentHospitalAssociationDaysService dataPatientsCardiovascularGynecologyQuintileNeurology
2014
Variation in Hospital-Level Risk-Standardized Complication Rates Following Elective Primary Total Hip and Knee Arthroplasty
Bozic KJ, Grosso LM, Lin Z, Parzynski CS, Suter LG, Krumholz HM, Lieberman JR, Berry DJ, Bucholz R, Han L, Rapp MT, Bernheim S, Drye EE. Variation in Hospital-Level Risk-Standardized Complication Rates Following Elective Primary Total Hip and Knee Arthroplasty. Journal Of Bone And Joint Surgery 2014, 96: 640-647. PMID: 24740660, DOI: 10.2106/jbjs.l.01639.Peer-Reviewed Original ResearchConceptsElective total hip arthroplastyTotal hip arthroplastyComplication rateBlack patientsStudy cohortTKA proceduresMedicaid patientsU.S. hospitalsMedicare feeElective primary total hip arthroplastyPrimary total hip arthroplastyElective primary total hipTotal knee arthroplasty proceduresPrimary total hipPeriprosthetic joint infectionKnee arthroplasty proceduresNational Medicare feeHigher proportionHospital-level riskNational Quality ForumCross-sectional analysisHierarchical logistic regressionTKA patientsCommon complicationPatient comorbidities