| Literature DB >> 29561219 |
Yi Dong1, Kun Fang1, Xin Wang2, Shengdi Chen3, Xueyuan Liu4, Yuwu Zhao5, Yangtai Guan6, Dingfang Cai7, Gang Li8, Jianmin Liu9, Jianren Liu10, Jianhua Zhuang11, Panshi Wang12, Xin Chen12, Haipeng Shen13, David Z Wang14, Ying Xian15, Wuwei Feng16, Bruce Cv Campbell17, Mark Parsons18, Qiang Dong1.
Abstract
Background Several stroke outcome and quality control projects have demonstrated the success in stroke care quality improvement through structured process. However, Chinese health-care systems are challenged with its overwhelming numbers of patients, limited resources, and large regional disparities. Aim To improve quality of stroke care to address regional disparities through process improvement. Method and design The Shanghai Stroke Service System (4S) is established as a regional network for stroke care quality improvement in the Shanghai metropolitan area. The 4S registry uses a web-based database that automatically extracts data from structured electronic medical records. Site-specific education and training program will be designed and administrated according to their baseline characteristics. Both acute reperfusion therapies including thrombectomy and thrombolysis in the acute phase and subsequent care were measured and monitored with feedback. Primary outcome is to evaluate the differences in quality metrics between baseline characteristics (including rate of thrombolysis in acute stroke and key performance indicators in secondary prevention) and post-intervention. Conclusions The 4S system is a regional stroke network that monitors the ongoing stroke care quality in Shanghai. This project will provide the opportunity to evaluate the spectrum of acute stroke care and design quality improvement processes for better stroke care. A regional stroke network model for quality improvement will be explored and might be expanded to other large cities in China. Clinical Trial Registration-URL http://www.clinicaltrials.gov . Unique identifier: NCT02735226.Entities:
Keywords: Regional stroke network; acute stroke; protocol; registry
Mesh:
Year: 2018 PMID: 29561219 DOI: 10.1177/1747493018765492
Source DB: PubMed Journal: Int J Stroke ISSN: 1747-4930 Impact factor: 5.266