Measuring Stroke Quality: Methodological Considerations in Selecting, Defining, and Analyzing Quality Measures
Amy Yu, Dawn M. Bravata, Bo Norrving, Mathew J. Reeves, Liping Liu, Monique F. Kilkenny
Abstract
Knowledge about stroke and its management is growing rapidly and stroke systems of care must adapt to deliver evidence-based care. Quality improvement initiatives are essential for translating knowledge from clinical trials and recommendations in guidelines into routine clinical practice. This review focuses on issues central to the measurement of the quality of stroke care, including selection and definition of quality measures, identification of the eligible patient cohorts, optimization of data quality, and considerations for data analysis and interpretation.
Topics & Concepts
MedicineQuality (philosophy)Stroke (engine)Quality managementIdentification (biology)Selection (genetic algorithm)Clinical trialData qualityClinical PracticeIntensive care medicineMedical physicsPhysical therapyOperations managementPathologyArtificial intelligenceManagement systemBotanyComputer scienceEpistemologyEngineeringPhilosophyMechanical engineeringMetric (unit)EconomicsBiologyAcute Ischemic Stroke ManagementCerebrovascular and Carotid Artery DiseasesStroke Rehabilitation and Recovery