支持单一健康政策来管理塞内加尔的抗生素耐药性:使用组建模型的系统分析
Mouhamadou Moustapha Sow1,2,3, Mamadou Ciss3, Nicolas Djighnoum Diouf4
1Department of Public Health and Social Medicine, Faculty of Health Sciences, Gaston Berger University, Saint Louis, Senegal.
Frontiers in public health
|December 11, 2025
概括
塞内加尔的抗生素耐药性是由人类,动物和环境健康的复杂因素驱动的. 参与式方法确定了缓解的关键驱动因素和政策行动,强调实验室能力和监管执法.
科学领域:
- 一个健康的方法.
- 在公共卫生领域的系统思维.
- 抗生素耐药性监测监测 抗生素耐药性监测
背景情况:
- 抗生素耐药性 (ABR) 在塞内加尔构成了严重的公共卫生威胁.
- ABR受人类,动物和生态系统健康领域相互关联的因素的影响.
- 一个健康的观点对于理解和解决ABR至关重要.
研究的目的:
- 用参与式系统方法绘制塞内加尔抗生素耐药性的影响因素.
- 从"一个健康"的角度确定潜在的ABR缓解政策行动.
- 为ABR控制策略提供基于证据的决策信息.
主要方法:
- 与22个不同的利益相关者进行了参与式组建模型研讨会.
- 共同开发了因果循环图,以可视化驱动ABR的因素并确定干预点.
- 用利益相关者的意见来绘制55个因素和88个连接,这些因素和连接有助于ABR.
主要成果:
- 确定了影响ABR的四个关键反循环:抗生素需求,错误信息,法规制定和执法.
- 参与者提出了36项缓解行动,重点关注实验室能力,合理使用抗微生物药物和改善协调.
- 关键的转型行动包括对实验室能力的投资,对非法药品销售的执法法规以及统一数据收集.
结论:
- 参与式系统方法对于识别ABR驱动因素和政策行动是有价值的.
- 综合跨部门观点对于有效的ABR政策至关重要.
- 未来的ABR政策制定应该涉及当地利益相关者进行适合环境的干预.
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