Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/30648
Title: Measuring Stroke Quality: Methodological Considerations in Selecting, Defining, and Analyzing Quality Measures.
Austin Authors: Yu, Amy Y X;Bravata, Dawn M;Norrving, Bo;Reeves, Mathew J;Liu, Liping;Kilkenny, Monique F
Affiliation: Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (A.Y.X.Y.)..
VA HSR&D Center for Health Information and Communication (CHIC)' Richard L. Roudebush VA Medical Center, Indianapolis, IN (D.M.B.)..
Department of Clinical Sciences (Neurology), Lund, Lund University, and Neurology, Skåne University Hospital Lund/Malmö, Sweden (B.N.)..
Department of Epidemiology and Biostatistics, Michigan State University, East Lansing (M.J.R.)..
Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (L.L.)..
Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (M.F.K.)..
Department of Internal Medicine, Indiana University School of Medicine, Indianapolis (D.M.B.)..
Regenstrief Institute, Indianapolis, IN (D.M.B.)..
China National Clinical Research Center for Neurological Diseases, Beijing, China (L.L.)..
The Florey Institute of Neuroscience and Mental Health
Issue Date: Oct-2022
Date: 2022
Publication information: Stroke 2022; 53(10): 3214-3221
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.
URI: https://ahro.austin.org.au/austinjspui/handle/1/30648
DOI: 10.1161/STROKEAHA.122.036485
ORCID: 0000-0002-7276-9551
0000-0002-3048-2536
0000-0002-8024-5096
0000-0002-8019-6343
0000-0003-2943-055X
0000-0002-3375-287X
Journal: Stroke
PubMed URL: 35876016
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/35876016/
Type: Journal Article
Subjects: data analysis
evidence-based care
health services
ischemic stroke
quality improvement
Appears in Collections:Journal articles

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