通过数字参与解决方案应用的行为经济学来减少阿片类药物成和转移:随机控制试验的协议
Rubina Fatima Rizvi1,2,3, Jamee Ann Schoephoerster3, Sagar Satish Desphande3,4
1Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, MN, United States.
JMIR research protocols
|March 8, 2024
概括
这项研究测试了Opioid Management for You (OPY) 工具,使用行为经济学来减少阿片类药物使用和转移. 随机对照试验 (RCT) 旨在改善患者的治疗结果和处方阿片类药物的安全性.
科学领域:
- 行为经济学是一种行为经济学.
- 数字健康干预措施 数字健康干预措施
- 公共卫生 公共卫生
背景情况:
- 尽管人们对解决方案的兴趣日益增长,阿片类药物危机仍然存在.
- 现有的干预措施往往无法预防阿片类药物先验患者的成.
- 需要新的方法来管理阿片类药物使用和防止滥用.
研究的目的:
- 为了评估三种版本的阿片类药物管理 (OPY) 工具的有效性.
- 评估行为经济学原则对患者阿片类药物管理的影响.
- 通过实用随机对照试验 (RCT) 来减少急性疼痛环境中的阿片类药物使用和转移.
主要方法:
- 在Epic Care Companion平台上开发和测试三种OPY工具版本 (社会影响,预承诺,见证).
- 利用患者现有的MyChart个人健康记录帐户进行工具交互.
- 采用一组顺序RCT设计,根据手术类型根据阿片类药物使用风险对患者进行分层.
主要成果:
- 在接受上肢手术的患者中,通过社会影响版本证明了试点可行性.
- 该研究由学习健康系统科学中心 (CLHSS) 和M Health Fairview资助和支持.
- 试点阶段从2023年2月到2023年8月进行,主要RCT计划于2024年初进行.
结论:
- 该RCT将测试通过个人健康记录提供的行为经济学信息的推动是否可以减少患者的阿片类药物消费.
- 该研究假设,这些干预措施也将减少转移的处方阿片类药物的可用性.
- 这种方法旨在改善个人患者的治疗结果,以及与阿片类药物滥用有关的更广泛的公共卫生.
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