2021
Incorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models
Triche EW, Xin X, Stackland S, Purvis D, Harris A, Yu H, Grady JN, Li SX, Bernheim SM, Krumholz HM, Poyer J, Dorsey K. Incorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models. JAMA Network Open 2021, 4: e218512. PMID: 33978722, PMCID: PMC8116982, DOI: 10.1001/jamanetworkopen.2021.8512.Peer-Reviewed Original ResearchConceptsPOA indicatorRisk factorsOutcome measuresQuality outcome measuresRisk-adjustment modelsClaims dataAdmission indicatorsPatient risk factorsAcute myocardial infarctionPatient-level outcomesAdministrative claims dataQuality improvement studyClaims-based measuresComparative effectiveness studiesPatient claims dataInternational Statistical ClassificationMortality outcome measuresRelated Health ProblemsHospital quality measuresRisk model performanceHospital stayIndex admissionCare algorithmHeart failureMortality outcomes
2019
The relationship between off-hours admissions for primary percutaneous coronary intervention, door-to-balloon time and mortality for patients with ST-elevation myocardial infarction in England: a registry-based prospective national cohort study
Jayawardana S, Salas-Vega S, Cornehl F, Krumholz HM, Mossialos E. The relationship between off-hours admissions for primary percutaneous coronary intervention, door-to-balloon time and mortality for patients with ST-elevation myocardial infarction in England: a registry-based prospective national cohort study. BMJ Quality & Safety 2019, 29: 541-549. PMID: 31831635, PMCID: PMC7362773, DOI: 10.1136/bmjqs-2019-010067.Peer-Reviewed Original ResearchConceptsPrimary percutaneous coronary interventionOff-hours admissionPercutaneous coronary interventionDTB timeCoronary interventionBalloon timeST-elevation myocardial infarction (STEMI) patientsElevation myocardial infarction patientsProspective national cohort studyST-elevation myocardial infarctionCent of admissionsMedian DTB timeOff-hour effectPatient risk factorsProspective observational studyRecords of patientsPrimary outcome measureNational cohort studyTimeliness of careMyocardial infarction patientsHierarchical logistic regression modelsLogistic regression modelsHospital mortalityCohort studySecondary outcomes
2010
Hospital Volume and 30-Day Mortality for Three Common Medical Conditions
Ross JS, Normand SL, Wang Y, Ko DT, Chen J, Drye EE, Keenan PS, Lichtman JH, Bueno H, Schreiner GC, Krumholz HM. Hospital Volume and 30-Day Mortality for Three Common Medical Conditions. New England Journal Of Medicine 2010, 362: 1110-1118. PMID: 20335587, PMCID: PMC2880468, DOI: 10.1056/nejmsa0907130.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHospital volumeHeart failureMyocardial infarctionVolume thresholdRisk factorsAnnual hospital volumeHigh-volume hospitalsPatient risk factorsOdds of deathCommon medical conditionsAcute care hospitalsMedicare administrative claimsHierarchical logistic regression modelsCross-sectional analysisLogistic regression modelsCare hospitalHospital characteristicsReduced oddsMedical conditionsAdministrative claimsInfarctionPatientsPneumoniaService beneficiaries