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

J 2024

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, Rupal SEDANI, Robert MIKULÍK, Simeon DALE, Miroslav VARECHA et. al.

Základní údaje

Originální název

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

Autoři

FASUGBA, Oyebola, Rupal SEDANI, Robert MIKULÍK (203 Česká republika, garant, domácí), Simeon DALE, Miroslav VARECHA, Kelly COUGHLAN, Benjamin MCELDUFF, Elizabeth MCINNES, Sabina HLADIKOVA, Dominique A CADILHAC a Sandy MIDDLETON

Vydání

European Journal of Neurology, HOBOKEN, WILEY, 2024, 1351-5101

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30210 Clinical neurology

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 5.100 v roce 2022

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.1111/ene.16024

UT WoS

001052242900001

Klíčová slova česky

clinical quality registry; data; quality improvement; stroke

Klíčová slova anglicky

clinical quality registry; data; quality improvement; stroke

Štítky

14110127, 14110132, Excelence Science, FNUSA, MU, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 25. 1. 2024 12:04, Mgr. Tereza Miškechová

Anotace

V originále

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.

Návaznosti

90249, velká výzkumná infrastruktura

Název: CZECRIN IV

Citovat

FASUGBA, Oyebola, Rupal SEDANI, Robert MIKULÍK, Simeon DALE, Miroslav VARECHA, Kelly COUGHLAN, Benjamin MCELDUFF, Elizabeth MCINNES, Sabina HLADIKOVA, Dominique A CADILHAC a 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. European Journal of Neurology. HOBOKEN: WILEY, 2024, roč. 31, č. 1, s. 1-14. ISSN 1351-5101. Dostupné z: https://dx.doi.org/10.1111/ene.16024.

@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 a 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, roč.~31, č.~1, s.~1-14. ISSN~1351-5101. Dostupné z: https://dx.doi.org/10.1111/ene.16024.

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