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Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/30648
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dc.contributor.authorYu, Amy Y X-
dc.contributor.authorBravata, Dawn M-
dc.contributor.authorNorrving, Bo-
dc.contributor.authorReeves, Mathew J-
dc.contributor.authorLiu, Liping-
dc.contributor.authorKilkenny, Monique F-
dc.date2022-
dc.date.accessioned2022-08-02T06:42:48Z-
dc.date.available2022-08-02T06:42:48Z-
dc.date.issued2022-10-
dc.identifier.citationStroke 2022; 53(10): 3214-3221en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/30648-
dc.description.abstractKnowledge 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.en
dc.language.isoeng-
dc.subjectdata analysisen
dc.subjectevidence-based careen
dc.subjecthealth servicesen
dc.subjectischemic strokeen
dc.subjectquality improvementen
dc.titleMeasuring Stroke Quality: Methodological Considerations in Selecting, Defining, and Analyzing Quality Measures.en
dc.typeJournal Articleen
dc.identifier.journaltitleStrokeen
dc.identifier.affiliationDepartment of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (A.Y.X.Y.)..en
dc.identifier.affiliationVA HSR&D Center for Health Information and Communication (CHIC)' Richard L. Roudebush VA Medical Center, Indianapolis, IN (D.M.B.)..en
dc.identifier.affiliationDepartment of Clinical Sciences (Neurology), Lund, Lund University, and Neurology, Skåne University Hospital Lund/Malmö, Sweden (B.N.)..en
dc.identifier.affiliationDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing (M.J.R.)..en
dc.identifier.affiliationDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (L.L.)..en
dc.identifier.affiliationStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (M.F.K.)..en
dc.identifier.affiliationDepartment of Internal Medicine, Indiana University School of Medicine, Indianapolis (D.M.B.)..en
dc.identifier.affiliationRegenstrief Institute, Indianapolis, IN (D.M.B.)..en
dc.identifier.affiliationChina National Clinical Research Center for Neurological Diseases, Beijing, China (L.L.)..en
dc.identifier.affiliationThe Florey Institute of Neuroscience and Mental Healthen
dc.identifier.pubmedurihttps://pubmed.ncbi.nlm.nih.gov/35876016/en
dc.identifier.doi10.1161/STROKEAHA.122.036485en
dc.type.contentTexten
dc.identifier.orcid0000-0002-7276-9551en
dc.identifier.orcid0000-0002-3048-2536en
dc.identifier.orcid0000-0002-8024-5096en
dc.identifier.orcid0000-0002-8019-6343en
dc.identifier.orcid0000-0003-2943-055Xen
dc.identifier.orcid0000-0002-3375-287Xen
dc.identifier.pubmedid35876016-
item.grantfulltextnone-
item.openairetypeJournal Article-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
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