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Can I read The impacts of Chinese drug volume-based procurement policy on the use of policy-related antibiotic drugs in Shenzhen, 2018–2019: an interrupted time-series analysis on EtoBox?
The impacts of Chinese drug volume-based procurement policy on the use of policy-related antibiotic drugs in Shenzhen, 2018–2019: an interrupted time-series analysis by Yang, Ying (author);Chen, Lei (author);Ke, Xinfeng (author);Mao, Zongfu (author);Zheng, Bo (author) is a Health Professions article available to read on EtoBox.
What is The impacts of Chinese drug volume-based procurement policy on the use of policy-related antibiotic drugs in Shenzhen, 2018–2019: an interrupted time-series analysis about?
## Background In 2019, Chinese government implemented volume-based procurement of 25 drugs in 4 municipalities and 7 sub-provincial cities, i.e. “4 + 7” policy. Competitive bidding was conducted by the government based on the annual agreed procurement volume submitted by each public medical institution in pilot cities. Pilot cities were required to implement bid winning results in March 2019 and the use volume of bid winning products was examined to ensure the completion of agreed procurement volume. In the policy, an oral antibiotic (cefuroxime) was included. Given the current condition of the irrational use of antibiotics in China, this study aims to evaluate the impact of “4 + 7” policy on the use of policy-related antibiotics. ## Methods This study used drug purchase data from the Centralized Drug Procurement Survey in Shenzhen 2019, covering 24 months from January 2018 to December 2019. Oral antibiotic drugs related to “4 + 7” policy were selected as study samples, including cefuroxime and 12 antibiotic drugs that have an alternative relationship with cefuroxime in clinical use. Purchase volume and expenditures were selected as outcome variables, and were measured using Define
Who reads The impacts of Chinese drug volume-based procurement policy on the use of policy-related antibiotic drugs in Shenzhen, 2018–2019: an interrupted time-series analysis?
It is typically read by researchers, students, and practitioners in Health Professions.
- Author
- Yang, Ying (author);Chen, Lei (author);Ke, Xinfeng (author);Mao, Zongfu (author);Zheng, Bo (author)
- Publisher
- Springer Science and Business Media LLC
- Published
- 2021
- Language
- EN
- Field
- Health Professions (Health Sciences)