| 1. |
- Norrving, Bo, et al.
(författare)
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Cross-National Key Performance Measures of the Quality of Acute Stroke Care in Western Europe
- 2015
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Ingår i: Stroke. - 0039-2499 .- 1524-4628. ; 46:10, s. 2891-2895
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Tidskriftsartikel (refereegranskat)abstract
- Background and Purpose There are no agreed measures of stroke care quality that enable the standardized comparison of stroke care between countries. We aimed to develop a set of measures of quality of acute stroke care involving stroke quality registers in Western Europe. Methods A multinational working group identified 6 regional or national stroke quality registers in Europe and reviewed their data sets, performance measures, and the method by which these had been developed. Measures used in the registers were presented for discussion to a consensus group of representatives from the quality registers identified, as well as other stroke experts, and the final set of common performance measures was agreed through majority consensus. Results Thirty final performance measures were agreed by the European consensus group, encompassing the domains of coordination of care (stroke unit-based care), diagnosis (brain imaging, vascular imaging, cardiac arrhythmia detection, and therapy assessment), preservation of neural tissue (thrombolytic therapy and door-to-needle time), prevention of complications (dysphagia screening), initiation of secondary prevention (antiplatelet, anticoagulation, lipid lowering, blood pressure lowering, carotid surgery, time from vascular imaging to carotid surgery, and smoking cessation), survival (90-day poststroke mortality), and functional outcomes (90-day modified Rankin Scale). Conclusions On the basis of experience of quality registers in Europe, we have proposed a common set of performance measures that will facilitate the international comparison of acute stroke care quality.
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| 2. |
- Wang, Wenjuan, et al.
(författare)
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Developing and externally validating a machine learning risk prediction model for 30-day mortality after stroke using national stroke registers in the UK and Sweden.
- 2023
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Ingår i: BMJ Open. - : BMJ Publishing Group Ltd. - 2044-6055. ; 13:11
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVES: We aimed to develop and externally validate a generalisable risk prediction model for 30-day stroke mortality suitable for supporting quality improvement analytics in stroke care using large nationwide stroke registers in the UK and Sweden.DESIGN: Registry-based cohort study.SETTING: Stroke registries including the Sentinel Stroke National Audit Programme (SSNAP) in England, Wales and Northern Ireland (2013-2019) and the national Swedish stroke register (Riksstroke 2015-2020).PARTICIPANTS AND METHODS: Data from SSNAP were used for developing and temporally validating the model, and data from Riksstroke were used for external validation. Models were developed with the variables available in both registries using logistic regression (LR), LR with elastic net and interaction terms and eXtreme Gradient Boosting (XGBoost). Performances were evaluated with discrimination, calibration and decision curves.OUTCOME MEASURES: The primary outcome was all-cause 30-day in-hospital mortality after stroke.RESULTS: In total, 488 497 patients who had a stroke with 12.4% 30-day in-hospital mortality were used for developing and temporally validating the model in the UK. A total of 128 360 patients who had a stroke with 10.8% 30-day in-hospital mortality and 13.1% all mortality were used for external validation in Sweden. In the SSNAP temporal validation set, the final XGBoost model achieved the highest area under the receiver operating characteristic curve (AUC) (0.852 (95% CI 0.848 to 0.855)) and was well calibrated. The performances on the external validation in Riksstroke were as good and achieved AUC at 0.861 (95% CI 0.858 to 0.865) for in-hospital mortality. For Riksstroke, the models slightly overestimated the risk for in-hospital mortality, while they were better calibrated at the risk for all mortality.CONCLUSION: The risk prediction model was accurate and externally validated using high quality registry data. This is potentially suitable to be deployed as part of quality improvement analytics in stroke care to enable the fair comparison of stroke mortality outcomes across hospitals and health systems across countries.
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| 3. |
- Darehed, David, et al.
(författare)
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Diurnal variations in the quality of stroke care in Sweden
- 2019
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Ingår i: Acta Neurologica Scandinavica. - : Hindawi Limited. - 0001-6314 .- 1600-0404. ; 140:2, s. 123-130
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: A recent study of acute stroke patients in England and Wales revealed several patterns of temporal variation in quality of care. We hypothesized that similar patterns would be present in Sweden and aimed to describe these patterns. Additionally, we aimed to investigate whether hospital type conferred resilience against temporal variation. Materials and Methods: We conducted this nationwide registry-based study using data from the Swedish Stroke Register (Riksstroke) including all adult patients registered with acute stroke between 2011 and 2015. Outcomes included process measures and survival. We modeled time of presentation as on/off-hours, shifts, day of week, 4-hour, and 12-hour time blocks. We studied hospital resilience by comparing outcomes across hospital types. Results: A total of 113 862 stroke events in 72 hospitals were included. The process indicators and survival all showed significant temporal variation. Door-to-needle (DTN) time within 30 minutes was less likely during nighttime than daytime (OR 0.50; 95% CI 0.41-0.60). Patients admitted during off-hours had lower odds of direct stroke unit (SU) admission (OR 0.72; 95% CI 0.70-0.75). 30-day survival was lower in nighttime vs daytime presentations (OR 0.90, 95% CI 0.84-0.96). The effects of temporal variation differed significantly between hospital types for DTN time within 30 minutes and direct SU admission where university hospitals were more resilient than specialized non-university hospitals. Conclusions: Our study shows that variation in quality of care and survival is present throughout the whole week. We also found that university hospitals were more resilient to temporal variation than specialized non-university hospitals.
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