医学
冲程(发动机)
置信区间
绩效指标
急诊医学
指南
物理疗法
内科学
机械工程
工程类
病理
经济
管理
作者
Jiawen Xu,Yanan Xie,Kun Fang,Xin Wang,Shengdi Chen,Xueyuan Liu,Yuwu Zhao,Yangtai Guan,Dingfang Cai,Gang Li,Jianmin Liu,Jian-Ren Liu,Jianhua Zhuang,Ying Xian,Haipeng Shen,Hao Li,David Wang,Bruce C.V. Campbell,Mark Parsons,Yi Dong,Qiang Dong
标识
DOI:10.1177/17474930221125993
摘要
In China, disparities in the quality of stroke care still exist and implementing quality improvement is still a challenge.The aim of the study was to determine whether the intervention by Shanghai Stroke Service System (4S) has helped improve adherence to stroke care guidelines and patient outcome.The 4S is a regional stroke network with real-time data extraction among its 61 stroke centers in Shanghai. A total of 11 key performance indicators (KPIs) were evaluated. The primary outcomes were a composite measure and an all-or-none measure of adherence to 11 KPIs. The secondary outcomes were length of hospital stay and in-hospital mortality.The study enrolled 92,395 patients (mean age 69.0 ± 12.5 years, 65.2% men) with acute ischemic stroke hospitalized within 7 days of onset in Shanghai from January 2015 to December 2020. More patients received guideline recommended care between 2018 and 2020 than those between 2015 and 2017 (composite measure 87.1% vs 83.6%; absolute difference 2.9%, 95% confidence interval (CI) = [2.7%, 3.2%], p < 0.001; all-or-none measure 49.2% vs 44.8% patients; absolute difference 3.5%, 95% CI = [2.7%, 4.2%], p < 0.001). Further analysis of individual KPIs showed an absolute increase in six KPIs ranging from 3.4% to 8.9% (p < 0.001 for all comparisons). Compared with 2015-2017, hospital length of stay was shorter (10.95 vs 11.90 days; absolute difference -1.08, 95% CI = [-1.18, -0.99], p < 0.001), and in-hospital mortality was significantly reduced (risk ratio (RR) = 0.88, 95% CI = [0.79, 0.98], p = 0.01) in 2018-2020.The 4S intervention was associated with increased adherence to the stroke care guidelines, which further translated to improved clinical outcomes.ClinicalTrials.gov identifier: NCT02735226.
科研通智能强力驱动
Strongly Powered by AbleSci AI