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    In: International Journal of Stroke, SAGE Publications, Vol. 16, No. 6 ( 2021-08), p. 727-737
    Abstract: Benchmarking is a management approach for implementing best medical practices at the lowest cost. The objectives of this study were to set achievable performance benchmarks for individual quality indicators to determine the predicted quality achievement related to better adherence, and to select optimal quality indicators for improving the quality of acute ischemic stroke care. Methods We analyzed data on 500,331 patients diagnosed with acute ischemic stroke who were treated at 518 hospitals in China from January 2011 to May 2017. The primary outcome was independence (modified Rankin Scale score ≤2) at discharge. Data-driven achievable benchmarking used the “pared-mean” approach to set objective performance targets. Hierarchical logistic regression models were employed to evaluate the process–outcome association, as well as the predicted quality improvement if all hospitals were to operate at the benchmark level. Results Of the overall population, 64.01% were independent patients at discharge. The performance benchmarks were 〉 90% for most of the quality indicators. After adjusting for patient-level and hospital-level characteristics and unifying hospital performance to the benchmark level, the quality indicators with high increase in both overall adherence rate and independence rate were thrombolytic therapy, anticoagulant therapy, venous thrombosis prophylaxis. Conclusions Performance targets for three acute treatments, including thrombolytic therapy, anticoagulant therapy, venous thrombosis prophylaxis, could best motivate improvements in both overall adherence rate and independence rate at discharge. The finding suggests that the above three types of acute treatment should be given priority to improve the quality of acute ischemic stroke care.
    Type of Medium: Online Resource
    ISSN: 1747-4930 , 1747-4949
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2211666-7
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