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How registry data are used to inform activities for stroke care quality improvement across 55 countries : A cross-sectional survey of Registry of Stroke Care Quality (RES-Q) hospitals
Fasugba, Oyebola Sedani, Rupal Mikulik, Robert Dale, Simeon Vařecha, Miroslav Coughlan, Kelly McElduff, Benjamin McInnes, Elizabeth Hladíková, Sabina Cadilhac, Dominique A.
Fasugba, Oyebola
Sedani, Rupal
Mikulik, Robert
Dale, Simeon
Vařecha, Miroslav
Coughlan, Kelly
McElduff, Benjamin
McInnes, Elizabeth
Hladíková, Sabina
Cadilhac, Dominique A.
Abstract
Background and purpose: The Registry of Stroke Care Quality (RES-Q) is a worldwide quality improvement data platform that captures performance and quality measures, enabling standardized comparisons of hospital care. The aim of this study was to determine if, and how, RES-Q data are used to influence stroke quality improvement and identify the support and educational needs of clinicians using RES-Q data to improve stroke care.
Methods: A cross-sectional self-administered online survey was administered (October 2021–February 2022). Participants were RES-Q hospital local coordinators responsible for stroke data collection. Descriptive statistics are presented.
Results: Surveys were sent to 1463 hospitals in 74 countries; responses were received from 358 hospitals in 55 countries (response rate 25%). RES-Q data were used “always” or “often” to: develop quality improvement initiatives (n = 213, 60%); track stroke care quality over time (n = 207, 58%); improve local practice (n = 191, 53%); and benchmark against evidence-based policies, procedures and/or guidelines to identify practice gaps (n = 179, 50%). Formal training in the use of RES-Q tools and data were the most frequent support needs identified by respondents (n = 165, 46%). Over half “strongly agreed” or “agreed” that to support clinical practice change, education is needed on: (i) using data to identify evidence–practice gaps (n = 259, 72%) and change clinical practice (n = 263, 74%), and (ii) quality improvement science and methods (n = 255, 71%).
Conclusion: RES-Q data are used for monitoring stroke care performance. However, to facilitate their optimal use, effective quality improvement methods are needed. Educating staff in quality improvement science may develop competency and improve use of data in practice.
Keywords
clinical quality registry, data, quality improvement, stroke
Date
2023
Type
Journal article
Journal
European Journal of Neurology
Book
Volume
31
Issue
1
Page Range
1-14
Article Number
ACU Department
Nursing Research Institute
Faculty of Health Sciences
Faculty of Health Sciences
Collections
Relation URI
Event URL
Open Access Status
Published as ‘gold’ (paid) open access
License
CC BY-NC-ND 4.0
File Access
Open
Notes
© 2023 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. http://creativecommons.org/licenses/by-nc-nd/4.0/
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. http://creativecommons.org/licenses/by-nc-nd/4.0/