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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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