你看到了问题吗? 通过使用定性采访数据,可视化整个英国的抗生素处方的普遍"复杂局部系统"
Rebecca E Glover1, Nicholas B Mays1, Alec Fraser2
1Policy Innovation Research Unit, London School of Hygiene and Tropical Medicine, London, UK.
Critical public health
|November 28, 2023
概括
抗菌素耐药性 (AMR) 的干预往往失败,因为它们专注于个人处方者,而不是复杂的局部系统. 了解这些系统是有效,长期抗生素管理的关键.
科学领域:
- 公共卫生 公共卫生
- 卫生系统研究 卫生系统研究
- 定性研究方法 定性研究方法
背景情况:
- 抗菌素耐药性 (AMR) 是一个重大的全球健康威胁.
- 目前的AMR干预措施,特别是针对抗生素处方的干预措施,往往以狭的重点关注个人处方行为.
- 需要一种更系统的方法来理解和解决抗生素处方模式.
研究的目的:
- 探索英国当地抗生素处方系统的复杂性.
- 将复杂系统理论和系统映射应用于抗生素处方的定性数据.
- 了解抗生素处方干预措施与更广泛的卫生系统之间的相互作用.
主要方法:
- 在六个不同的英国地区进行了71次半结构面试.
- 利用了复杂系统理论原则.
- 采用了用于定性数据分析的系统映射技术.
主要成果:
- 确定了影响局部抗生素处方的近端和远端因素的复杂相互作用.
- 观察到,这些因素可以在不同的局部系统中产生不可预测的影响.
- 强调,在没有上下文理解的情况下进行绩效管理干预会导致临时修复和意想不到的后果.
结论:
- 有效的抗微生物耐药性 (AMR) 干预措施需要深入了解当地处方系统动态.
- 政策制定者和研究人员应采用系统思维方法来设计和评估抗菌药物抵抗策略.
- 未来的干预措施必须承认并应对处方者面临的复杂压力,以实现可持续的有效性.
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