Abstract:
:Background and Purpose- Multifaceted quality improvement interventions of stroke care have been shown to improve hospital personnel adherence to evidence-based performance measures and subsequent stroke outcomes. This study aimed to evaluate the cost-effectiveness of a multifaceted quality improvement intervention for stroke care in China, the world's largest low- and middle-income country. Methods- A short-term decision tree model and a long-term Markov model were used to analyze the cost-effectiveness of a multifaceted quality improvement intervention for patients with acute ischemic stroke. Outcomes, transition probability, and cost data were obtained from a recent clinical trial and the published literature. The benefit of the intervention was assessed by the costs per quality-adjusted life-years gained in the short- and long-term. One-way and probabilistic sensitivity analyses were performed to assess the uncertainty of the findings. Results- Compared with usual care, a multifaceted quality improvement intervention for stroke care was found to be cost-effective in the first year and highly cost-effective from the second year onward. In the long-term, the intervention yielded a lifetime gain of 0.246 quality-adjusted life-years at an additional cost of Chinese Yuan Renminbi 1510 (US $230), resulting in a cost of Chinese Yuan Renminbi 6138 (US $940) per quality-adjusted life-year gained. Probabilistic sensitivity analysis indicated that the intervention was highly cost-effective in 99.9% of the simulation runs at a willingness-to-pay threshold of Chinese Yuan Renminbi 59 700 (1× gross domestic product per capita of China in 2017, US $9200) per quality-adjusted life-year. Conclusions- A multifaceted quality improvement intervention for stroke care was highly cost-effective in China. The results of this study may be used as a reference for delivering such interventions in low- and middle-income countries and in underserved areas of high-income countries.
journal_name
Strokejournal_title
Strokeauthors
Pan Y,Zhang L,Li Z,Meng X,Wang Y,Li H,Liu L,Wang Ydoi
10.1161/STROKEAHA.119.027980subject
Has Abstractpub_date
2020-04-01 00:00:00pages
1265-1271issue
4eissn
0039-2499issn
1524-4628journal_volume
51pub_type
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