2017年至2023年与阿片类药物处方相关的趋势和因素
Wenyu Song1,2, Kenneth J Mukamal2,3, Joji Suzuki2,4
1Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States.
Pain
|September 2, 2025
概括
在2017年至2023年期间,阿片类药物处方率总体下降,但在2020年出现了明显的下降和反弹. 患者和提供者因素影响了高剂量阿片类药物的处方.
科学领域:
- 公共卫生
- 卫生信息学
- 药理学
背景情况:
- 广泛的处方阿片类药物滥用导致过量服用死亡.
- 了解时间处方模式对于干预至关重要.
- 电子健康记录为分析趋势提供了有价值的数据.
研究的目的:
- 分析美国大型卫生系统七年 (2017-2023) 的阿片类药物处方趋势.
- 确定每月阿片类药物处方率的不同阶段和模式.
- 通过设置,人口统计和遭遇类型以及高剂量处方的关联来探索处方的变化.
主要方法:
- 对13家医院1,019,706名患者的电子健康记录数据进行了回顾性分析.
- 对与18225名处方者相关的3,877,281例阿片类药物处方的检查.
- 每月处方率的统计分析,包括细分回归以确定趋势和阶段.
主要成果:
- 从2017年1月到2023年12月,月度阿片类药物处方率总体下降 (平均每月下降0.70%).
- 确定了四个不同的阶段:逐渐下降 (2017年1月至2020年1月),急剧下降和反弹 (2020年2月至7月),以及重新逐渐下降 (2023年8月至12月).
- 在不同环境,人口统计和遭遇类型中发现了处方的显著差异,患者特征和提供者专长与高剂量吗啡相对应.
结论:
- 药物处方趋势复杂,表现出受外部因素影响的动态变化 (例如2020年事件).
- 亚组分析显示与高剂量阿片类药物处方相关的差异和特定风险因素.
- 这些发现强调了制定阿片类药物处方指南时需要细微的多因素方法.
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