制药决策支持系统中模拟情况的临床风险评估:修改后的e-Delphi探索性研究
Juline Bouet1,2, Arnaud Potier3, Bruno Michel4
1Pharmacy Department, CHU Nîmes, 4 Rue du Professeur Robert Debré, 30000, Nîmes, France. juline.bouet@gmail.com.
International journal of clinical pharmacy
|March 29, 2024
概括
专家们就45个高风险临床情况达成共识,这些情况涉及制药决策支持系统 (PDSS). 这项工作支持使用PDSS来预防与药物相关的问题,并增强药剂师的影响.
科学领域:
- 临床药房 临床药房
- 医疗信息学 医疗信息学
- 患者安全 患者安全
背景情况:
- 制药决策支持系统 (PDSS) 使用推理软件来识别潜在的药物相关问题 (DRP) 和药物不良事件.
- 将模拟情况与定义的临床风险联系起来,对于有效的PDSS决策至关重要.
研究的目的:
- 通过PDSSs来解决模拟情况的临床风险水平达成专家共识.
- 为PDSS应用建立一个标准化的风险评估框架.
主要方法:
- 进行了两轮的e-Delphi调查,涉及来自法语国家20名专家.
- 专家们使用5分利克特尺度对52种模拟的临床情况进行了概率和严重性的评分.
- 共识被定义为≥75%的同意,风险水平根据患者临床风险情况 (CRiSP) 尺度确定.
主要成果:
- 在52个模拟情况中的48个问题上达成了共识.
- 45种情况被归类为高风险或极端风险.
- 过量服用是最常见的DRP (22%),其中心血管,精神病和内分泌药物类别是最常见的.
结论:
- 专家共识确定了45个高/极端风险的临床情况,用于PDSS干预.
- 这项研究强调了PDSSs在预防患者伤害方面的价值.
- 这些发现强调了药剂师在管理催化剂药物风险方面的作用.
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