数据驱动的应急管理激励规模:一篇评论
Carla J Rash1, Sonata I Black2, Sara C Parent3
1UConn Health School of Medicine, Farmington, Connecticut.
JAMA psychiatry
|July 2, 2025
概括
应急管理 (CM) 为阿片类药物和兴奋剂使用障碍提供了有效的治疗. 本研究提供了以通货券和奖金为基础的CM协议的最新,通货膨胀调整的激励估计,以指导临床实施.
科学领域:
- 成 药物 药物 药物 药物
- 行为健康 行为健康
- 公共卫生 公共卫生
背景情况:
- 越来越多的阿片类药物和兴奋剂使用障碍需要有效的治疗策略.
- 应急管理 (CM) 在临床环境中取得了成功,大规模的项目推出证明了这一点.
- 对基于证据的参数的需求,包括激励规模,对于CM协议的实施至关重要.
研究的目的:
- 为当代应急管理 (CM) 协议提供数据驱动,通货膨胀调整的激励估计.
- 根据干预持续时间来定制CM协议.
- 确保CM协议使用有效的,研究支持的参数,以获得最佳的患者结果.
主要方法:
- 对112个已发布的CM协议进行系统审查.
- 根据效果大小 (小/中/大) 与非CM条件相比,对协议的分类.
- 计算每周通胀调整后的优惠券和基于奖励的CM的激励金额.
主要成果:
- 从高影响力协议中得出的平均每周激励估计:以优惠券为基础的CM为128美元,以奖励为基础的CM为55美元.
- 对于一个12周的干预,总激励估计为1536美元的优惠券和660美元的奖励协议.
- 估计调整了通货膨胀,以反映当前经济状况.
结论:
- 提供的激励规模估计可以为临床实践,政策制定和CM的倡导提供信息.
- 为协议开发提供了实际指导,包括起始值和升级策略.
- 这些发现支持对物质使用障碍的CM进行可扩展和有效的实施.
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