术后疼痛风险分层来增强成人患者疼痛管理工作流程:设计,实施和试点评估
Matthias Görges1,2, Jonath Sujan2, Nicholas C West2
1Department of Anesthesiology, Pharmacology & Therapeutics, The University of British Columbia, Vancouver, BC, Canada.
经营性阿片类药物质量改善 (POQI) 平台
科学领域:
- 在术后护理中的数字健康解决方案.
- 预防阿片类药物使用障碍的战略.
- 术后疼痛管理方面的创新.
背景情况:
- 手术后接触阿片类药物可能导致慢性阿片类药物使用障碍.
- 有效的术后疼痛管理与减少阿片类药物依赖是至关重要的.
- POQI计划开发了一个数字平台和风险算法,用于个性化外科护理.
研究的目的:
- 评估POQI风险算法的查性能.
- 量化POQI平台的使用情况.
- 评估临床医生和患者对平台实用性和好处的看法.
主要方法:
- 在加拿大的第三级护理中心试点实施POQI平台原型.
- 将风险分层算法应用于患者病史数据.
- 人口,程序和药物数据的回顾性提取.
- 使用术后阿片类药物使用的算法性能评估 (>90MME/天).
- 通过患者调查和定性访谈评估POQI平台的使用情况.
主要成果:
- 风险算法将26.4%的患者确定为高风险患者.
- 高风险患者年轻,女性更常见.
- 该算法证明了合理的特异性 (72%),但敏感性低 (32%).
- 患者和临床医生的反突出了可用性问题和平台教育不足.
- 观察到,在释放后的调查完成后,随访的显著损失.
结论:
- 最初的POQI平台原型显示出承诺,但需要代的重新设计.
- 风险算法的敏感性较差,因此需要进行改进,以获得更广泛的临床效用.
- 解决平台设计和实施缺陷对于未来的成功至关重要.
- 在广泛采用之前,需要进一步重新评估和功能增强.
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