Measuring Stroke Quality : Methodological Considerations in Selecting, Defining, and Analyzing Quality Measures
(2022) In Stroke 53(10). p.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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/895018ea-00da-47d8-931a-192054e8e12c
- author
- Yu, Amy Y.X. ; Bravata, Dawn M. ; Norrving, Bo LU ; Reeves, Mathew J. ; Liu, Liping and Kilkenny, Monique F.
- organization
- publishing date
- 2022-10-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- data analysis, evidence-based care, health services, ischemic stroke, quality improvement
- in
- Stroke
- volume
- 53
- issue
- 10
- pages
- 8 pages
- publisher
- American Heart Association
- external identifiers
-
- scopus:85139276743
- pmid:35876016
- ISSN
- 0039-2499
- DOI
- 10.1161/STROKEAHA.122.036485
- language
- English
- LU publication?
- yes
- id
- 895018ea-00da-47d8-931a-192054e8e12c
- date added to LUP
- 2022-12-09 14:59:27
- date last changed
- 2024-09-20 21:38:02
@article{895018ea-00da-47d8-931a-192054e8e12c, abstract = {{<p>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.</p>}}, author = {{Yu, Amy Y.X. and Bravata, Dawn M. and Norrving, Bo and Reeves, Mathew J. and Liu, Liping and Kilkenny, Monique F.}}, issn = {{0039-2499}}, keywords = {{data analysis; evidence-based care; health services; ischemic stroke; quality improvement}}, language = {{eng}}, month = {{10}}, number = {{10}}, pages = {{3214--3221}}, publisher = {{American Heart Association}}, series = {{Stroke}}, title = {{Measuring Stroke Quality : Methodological Considerations in Selecting, Defining, and Analyzing Quality Measures}}, url = {{http://dx.doi.org/10.1161/STROKEAHA.122.036485}}, doi = {{10.1161/STROKEAHA.122.036485}}, volume = {{53}}, year = {{2022}}, }