Measuring Stroke Quality: Methodological Considerations in Selecting, Defining, and Analyzing Quality Measures-Reference-Cited by-同舟云学术

Measuring Stroke Quality: Methodological Considerations in Selecting, Defining, and Analyzing Quality Measures

Published:2022-10 Issue:10 Volume:53 Page:3214-3221
ISSN:0039-2499
Container-title:Stroke
language:en
Short-container-title:Stroke

Author:

Yu Amy Y.X.¹^ORCID,Bravata Dawn M.²³⁴^ORCID,Norrving Bo⁵^ORCID,Reeves Mathew J.⁶^ORCID,Liu Liping⁷⁸^ORCID,Kilkenny Monique F.⁹¹⁰^ORCID

Affiliation:

1. Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (A.Y.X.Y.).

2. VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center, Indianapolis, IN (D.M.B.).

3. Department of Internal Medicine, Indiana University School of Medicine, Indianapolis (D.M.B.).

4. Regenstrief Institute, Indianapolis, IN (D.M.B.).

5. Department of Clinical Sciences (Neurology), Lund, Lund University, and Neurology, Skåne University Hospital Lund/Malmö, Sweden (B.N.).

6. Department of Epidemiology and Biostatistics, Michigan State University, East Lansing (M.J.R.).

7. Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (L.L.).

8. China National Clinical Research Center for Neurological Diseases, Beijing, China (L.L.).

9. Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (M.F.K.).

10. The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia (M.F.K.).

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Neurology (clinical)

Reference71 articles.

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