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

Author:

Fasugba Oyebola12,Sedani Rupal3,Mikulik Robert4,Dale Simeon12,Vařecha Miroslav3,Coughlan Kelly12,McElduff Benjamin12,McInnes Elizabeth12,Hladíková Sabina3,Cadilhac Dominique A.56ORCID,Middleton Sandy12ORCID

Affiliation:

1. Nursing Research Institute, St Vincent's Health Network Sydney St Vincent's Hospital Melbourne and Australian Catholic University Sydney New South Wales Australia

2. School of Nursing, Midwifery and Paramedicine Australian Catholic University Sydney New South Wales Australia

3. International Clinical Research Centre St. Anne's University Hospital Brno Czech Republic

4. International Clinical Research Centre, Neurology Department St. Anne's University Hospital and Masaryk University Brno Czech Republic

5. Stroke and Ageing Research, School of Clinical Sciences at Monash Health Monash University Clayton Victoria Australia

6. Stroke Theme, Florey Institute of Neuroscience and Mental Health University of Melbourne Heidelberg Victoria Australia

Abstract

AbstractBackground and purposeThe 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.MethodsA 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.ResultsSurveys 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%).ConclusionRES‐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.

Funder

European Stroke Organisation

Publisher

Wiley

Subject

Neurology (clinical),Neurology

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