ArticleEuropean journal of neurology2024
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.
Article in European journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07207330 (Stroke Code), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Stroke Code: an Observational Cross-sectional Trial in Hospitals From Villavicencio, Colombia
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Maximising the Quality of Stroke Care: Reporting of Data Collection Methods and Resourcing in National Stroke Registries: A Systematic Review.Journal of medical systems · 2024Pooled it
- Comparative external validation of ICH prognostic scores for discharge outcomes in the RES-Q multinational quality registry.European stroke journal · 2026Article
- Development of a Binational Clinical Registry for Emergency Care: Data Completeness Across 11 Australian and Aotearoa New Zealand ED Networks.Emergency medicine Australasia : EMA · 2026Observational
- Quality of rehabilitation care in Portuguese stroke units: findings from 2017-2018 and 2023 national cross‑sectional surveys.Journal of rehabilitation medicine · 2026Article
- Real-world characteristics and outcomes of ischemic stroke: a Peruvian multicenter analysis from the RES-Q registry.Frontiers in stroke · 2026Article
- Identification of Design Requirements for a Software Application for Use by Clinicians That Collects Acute Stroke Treatment Data During Clinical Workflow: Pilot Study.JMIR formative research · 2025Article
- Leveraging data-driven insights for esophageal and gastric cancer diagnosis.BMC medical informatics and decision making · 2025Article
- Data extraction from free-text stroke CT reports using GPT-4o and Llama-3.3-70B: the impact of annotation guidelines.European radiology experimental · 2025Article
- Comprehensive analysis of stroke epidemiology in Vietnam: Insights from GBD 1990-2019 and RES-Q 2017-2023.Global epidemiology · 2025Article
- 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 · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
background 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.
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