评估干预组件以最大限度地提高慢性疼痛患者服用阿片类药物激动剂治疗的练习:使用多相优化策略框架的因子实验
Lisa A Uebelacker1, Tosca D Braun1, Lynn E Taylor2
1Alpert Medical School of Brown University, Providence, RI, United States of America; Butler Hospital, Providence, RI, United States of America.
Contemporary clinical trials
|December 16, 2023
概括
这项研究优化了在阿片类激素治疗 (OAT) 中慢性疼痛患者的干预,以增加练习和改善结果. 这些发现将指导一项针对阿片类药物使用障碍 (OUD) 疼痛管理的更大规模试验.
科学领域:
- 综合医学是一个整体的医学.
- 疼痛管理 疼痛管理
- 药物成治疗 药物成治疗
背景情况:
- 慢性疼痛影响了多达50%的接受阿片类药物使用障碍 (OUD) 的阿片类药物激动剂治疗 (OAT) 的人.
- 基于的干预措施 (YBI) 在减少与疼痛相关的残疾方面表现有前途.
- 坚持定期的练习对患有OAT的慢性疼痛患者来说是一项挑战.
研究的目的:
- 优化基于的干预 (YBI) 套餐,以提高课堂上课率和个人练习.
- 为了最大限度地提高患有慢性疼痛的人在OAT.com上获得的"剂量".
- 确定支持一致参与的关键组件.
主要方法:
- 一个2x2x2x2的因数实验,使用多相优化策略 (MOST) 框架.
- 研究四个组成部分:个人练习视频,私人课程,每日激励文本和出席激励.
- 招募了192名患有慢性疼痛的成年人参加OAT,测量每周的参与时间.
主要成果:
- 这项研究旨在确定哪些干预成分在增加剂量方面最有效.
- 结果将为开发最有效的YBI包提供信息.
- 数据将指导后续多站点疗效试验的设计.
结论:
- 优化的YBI套餐将被定制为最大限度地提高OAT上慢性疼痛患者的剂量.
- 这项研究为在更大的临床试验中测试精细干预的方法铺平了道路.
- 最终目标是减少疼痛干扰这一群体的日常功能.
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