如何利用常规抗微生物耐药性监测数据用于LMIC的当地和国家行动
Panida Chamawan1, Direk Limmathurotsakul2,3,4
1The Office of Permanent Secretary, Ministry of Public Health, Nonthaburi, Thailand.
JAC-antimicrobial resistance
|December 4, 2025
概括
这项研究指导泰国医院在当地和国家行动中使用抗菌素耐药性 (AMR) 数据. 有效地利用抗菌素耐药性监测数据对于全球打击耐药性至关重要.
科学领域:
- 公共卫生 公共卫生
- 传染病流行病学 传染病流行病学
- 医疗保健管理的管理
背景情况:
- 抗菌素耐药性 (AMR) 构成了全球健康的重大威胁.
- 有效地利用抗菌素耐药性监测数据对于为当地和国家公共卫生战略提供信息至关重要.
- 许多低收入和中等收入国家在利用其抗菌素耐药性监测数据方面面临挑战.
研究的目的:
- 描述一个指导框架,以有效地使用AMR监测数据.
- 支持泰国的二级和三级护理医院进行本地行动.
- 协助泰国的政策制定者制定国家行动.
主要方法:
- 在泰国提供给100多家医院的指导.
- 设施级指导包括数据验证,趋势分析,基准测试和信号调查.
- 国家层面的指导包括监测估计,基准测试和制定经验性治疗指南.
主要成果:
- 医院在使用AMR监测数据以获得可操作的见解方面得到了支持.
- 促进了国家一级的监测和指导方针的制定.
- 该框架可适应其他低收入和中等收入国家.
结论:
- 有效地使用AMR监测数据可以推动地方和国家公共卫生干预措施.
- 描述的指导框架支持AMR控制中的数据驱动决策.
- 鼓励对本指南进行调整,以便在LMIC中产生更广泛的影响.
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