为什么抗微生物药物耐药性信息传递失败:通过编制概率模型解释的定性见解
Eva M Krockow1, David R Jenkins2, Samkele Mkumbuzi3
1School of Psychology and Vision Sciences, University of Leicester, University Road, Leicester LE1 7RH, UK.
JAC-antimicrobial resistance
|August 13, 2025
概括
公众对抗菌素耐药性 (AMR) 的认识很低. 当前的抗抗菌性传播往往不清楚,缺乏个人相关性,阻碍了公众的理解和态度改变.
科学领域:
- 公共卫生 公共卫生
- 卫生沟通健康沟通
- 微生物学 微生物学
背景情况:
- 抗菌素耐药性 (AMR) 构成了全球健康的重大威胁.
- 公众对抗药性耐药性的认识和理解仍然非常低.
- 现有的抗药性传播策略需要进行评估和改进.
研究的目的:
- 检查公众和医疗保健专业人员对当前抗菌素耐药性 (AMR) 传播的看法.
- 确定有效接收和理解AMR信息的障碍和促进者.
- 应用编制概率模型 (ELM) 来分析抗抗药性传播的有效性.
主要方法:
- 进行了3个焦点小组,其中包括最近有AMR经验的英国患者 (n=15).
- 与英国医院医生 (n=14) 举行了4个焦点小组,他们有AMR治疗和沟通经验.
- 利用半结构面试和反射主题分析来解释定性数据.
主要成果:
- 参与者发现AMR信息难以获取,过于技术化,不清楚.
- 信息往往缺乏个人和文化相关性,具有惩罚性的语气和矛盾的建议.
- 编制概率模型 (ELM) 框架表明动机减少,并且由于消息质量和可访问性差,阻碍了中央路线处理.
结论:
- 目前的抗菌耐药性传播不足,需要显著改进.
- 提高动机,能力和论证质量对于有效的AMR信息传递至关重要.
- 需要量身定制的,积极的,简化的信息来改善影响力,并促进对抗胰岛素耐药性的持久态度变化.
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