Other formats:
BibTeX
LaTeX
RIS
@article{2327100,
author = {Fasugba, Oyebola and Sedani, Rupal and Mikulík, Robert and Dale, Simeon and Varecha, Miroslav and Coughlan, Kelly and McElduff, Benjamin and McInnes, Elizabeth and Hladikova, Sabina and Cadilhac, Dominique A and Middleton, Sandy},
article_location = {HOBOKEN},
article_number = {1},
doi = {http://dx.doi.org/10.1111/ene.16024},
keywords = {clinical quality registry; data; quality improvement; stroke},
language = {eng},
issn = {1351-5101},
journal = {European Journal of Neurology},
title = {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},
url = {https://onlinelibrary.wiley.com/doi/10.1111/ene.16024},
volume = {31},
year = {2024}
}
TY - JOUR
ID - 2327100
AU - Fasugba, Oyebola - Sedani, Rupal - Mikulík, Robert - Dale, Simeon - Varecha, Miroslav - Coughlan, Kelly - McElduff, Benjamin - McInnes, Elizabeth - Hladikova, Sabina - Cadilhac, Dominique A - Middleton, Sandy
PY - 2024
TI - 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
JF - European Journal of Neurology
VL - 31
IS - 1
SP - 1-14
EP - 1-14
PB - WILEY
SN - 13515101
KW - clinical quality registry
KW - data
KW - quality improvement
KW - stroke
UR - https://onlinelibrary.wiley.com/doi/10.1111/ene.16024
N2 - 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.
ER -
FASUGBA, Oyebola, Rupal SEDANI, Robert MIKULÍK, Simeon DALE, Miroslav VARECHA, Kelly COUGHLAN, Benjamin MCELDUFF, Elizabeth MCINNES, Sabina HLADIKOVA, Dominique A CADILHAC and Sandy MIDDLETON. 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. \textit{European Journal of Neurology}. HOBOKEN: WILEY, 2024, vol.~31, No~1, p.~1-14. ISSN~1351-5101. Available from: https://dx.doi.org/10.1111/ene.16024.
|
