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

. 2024 Jan ; 31 (1) : e16024. [epub] 20230821

Jazyk angličtina Země Velká Británie, Anglie Médium print-electronic

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid37540834

Grantová podpora
APP1196352 National Health and Medical Research Council Investigator Grant
CA18118 COST Association
LTC20051 Ministry of Education, Youth and Sports of the Czech Republic
LM2018128 State budget of the Czech Republic
European Stroke Organisation

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.

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Owolabi MO, Thrift AG, Martins S, et al. The state of stroke services across the globe: report of World Stroke Organization–World Health Organization surveys. Int J Stroke. 2021;16:889‐901. PubMed PMC

Johnson CO, Nguyen M, Roth GA, et al. Global, regional, and national burden of stroke, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019;18:439‐458. PubMed PMC

Eldh AC, Wallin L, Fredriksson M, et al. Factors facilitating a national quality registry to aid clinical quality improvement: findings of a national survey. BMJ Open. 2016;6:e011562. PubMed PMC

Howard G, Schwamm LH, Donnelly JP, et al. Participation in get with the guidelines–stroke and its association with quality of care for stroke. JAMA Neurol. 2018;75:1331‐1337. PubMed PMC

Cadilhac DA, Lannin NA, Anderson CS, et al. Protocol and pilot data for establishing the Australian Stroke Clinical Registry. Int J Stroke. 2010;5:217‐226. PubMed

Asplund K, Hulter Åsberg K, Appelros P, et al. The Riks‐Stroke story: building a sustainable national register for quality assessment of stroke care. Int J Stroke. 2011;6:99‐108. PubMed

Cadilhac DA, Kim J, Lannin NA, et al. National stroke registries for monitoring and improving the quality of hospital care: a systematic review. Int J Stroke. 2016;11:28‐40. PubMed

Tanne D, Koton S, Bornstein NM. National Stroke Registries: what can we learn from them? Neurology. 2013;81:1257‐1259. PubMed

Mikulík R, Caso V, Bornstein NM, et al. Enhancing and accelerating stroke treatment in Eastern European region: methods and achievement of the ESO EAST program. Eur Stroke J. 2020;5:204‐212. PubMed PMC

Registry of Stroke Care Quality . RES‐Q Live Metrics. Accessed April 30, 2022. https://qualityregistry.eu/mb‐aux/public/dashboard/78a1e97d‐fe82‐4aad‐a229‐f3044e9999d7

Norrving B, Barrick J, Davalos A, et al. Action plan for stroke in Europe 2018–2030. Eur Stroke J. 2018;3:309‐336. PubMed PMC

Lindsay M, Norrving B, Furie K, Donnan G, Langhorne P, Davis S. Global stroke guidelines and action plan: a road map for quality stroke care. 2016. Accessed April 30, 2022. https://www.world‐stroke.org/assets/downloads/Global_Stroke_Guidelines_and_Action_Plan_All_in_one_English.pdf

Lindsay P, Furie KL, Davis SM, Donnan GA, Norrving B. World Stroke Organization global stroke services guidelines and action plan. Int J Stroke. 2014;9:4‐13. PubMed

Kilkenny MF, Bravata DM. Quality improvement. Stroke. 2021;52:1866‐1870. PubMed

Goodwin R. The Angels Initiative: more and better stroke‐ready hospitals across the globe. CNS‐Oruen. 2018;4:22‐30.

Boehringer Ingelheim . The Angels Initiative – a unique healthcare initiative to improve acute stroke care. Accessed April 28, 2022. https://www.boehringer‐ingelheim.com/cardiovascular/stroke‐care/angels‐initiative

Gawthorne J, Fasugba O, Levi C, et al. Are clinicians using routinely collected data to drive practice improvement? A cross‐sectional survey. International J Qual Health Care. 2021;33:mzab141. PubMed

Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap) – a metadata‐driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42:377‐381. PubMed PMC

Harris PA, Taylor R, Minor BL, et al. The REDCap consortium: building an international community of software platform partners. J Biomed Inform. 2019;95:103208. PubMed PMC

IBM Corp . IBM SPSS Statistics for Windows, Version 27.0. IBM Corp; 2020.

Von Elm E, Altman DG, Egger M, et al. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Intern Med. 2007;147:573‐577. PubMed

Elrod JK, Fortenberry JL. The hub‐and‐spoke organization design: an avenue for serving patients well. BMC Health Serv Res. 2017;17:25‐33. PubMed PMC

Cadilhac DA. The Australian Stroke Clinical Registry: health services research and clinical trials. Accessed April 28, 2022. https://www.monash.edu/__data/assets/pdf_file/0011/1595315/Dominique‐Cadilhac_AuSCR_use‐for‐HSR_clinicaltrials.pdf

Egholm CL, Helmark C, Christensen J, et al. Facilitators for using data from a quality registry in local quality improvement work: a cross‐sectional survey of the Danish Cardiac Rehabilitation Database. BMJ Open. 2019;9:e028291. PubMed PMC

Egholm CL, Helmark C, Doherty P, Nilsen P, Zwisler AD, Bunkenborg G. “Struggling with practices” – a qualitative study of factors influencing the implementation of clinical quality registries for cardiac rehabilitation in England and Denmark. BMC Health Serv Res. 2019;19:1‐13. PubMed PMC

Eldh AC, Fredriksson M, Halford C, et al. Facilitators and barriers to applying a national quality registry for quality improvement in stroke care. BMC Health Serv Res. 2014;14:354. PubMed PMC

Cauchard JR, Frey J, Zahrt O, Johnson K, Crum A, Landay JA. The positive impact of push vs pull progress feedback: a 6‐week activity tracking study in the wild. Proc ACM Interact Mob Wearable Ubiquitous Technol. 2019;3:1‐23. PubMed

Boonyasai RT, Windish DM, Chakraborti C, Feldman LS, Rubin HR, Bass EB. Effectiveness of teaching quality improvement to clinicians: a systematic review. Jama. 2007;298:1023‐1037. PubMed

Fan W, Yan Z. Factors affecting response rates of the web survey: a systematic review. Comput Human Behav. 2010;26:132‐139.

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