临床医生对推阿片类药物使用障碍治疗预测模型的观点
Leigh Anne Tang1, Michelle Gomez1, Uday Suresh1
1Vanderbilt University Medical Center, Nashville, TN.
概括
临床医生可能不会使用预测模型来治疗阿片类药物使用障碍 (MOUD),除非他们信任该工具. 设计这些模型与临床推理和专家认可保持一致是成功实施的关键.
科学领域:
- 临床信息学 临床信息学
- 成 药物 药物 药物 药物
- 医疗保健服务研究 医疗服务研究
背景情况:
- 作为临床决策支持系统的预测模型在采用时面临挑战.
- 了解影响这些工具采用的因素对于有效实施至关重要.
研究的目的:
- 确定影响采用预测模型的因素,在住院治疗中选择药物治疗阿片类药物使用障碍 (MOUD) (甲与布普伦诺芬).
- 探索临床医生在MOUD治疗中利用决策支持工具的观点.
主要方法:
- 使用半结构面试进行的定性研究,对处方MOUD的13名临床医生进行了半结构面试.
- 用于结合演和归纳内容分析的社会技术模型.
主要成果:
- 非专业的临床医生倾向于专家,并信任专家和机构认可的工具.
- 临床医生期望模型将临床推理纳入电子健康记录数据之外的临床推理,包括健康的社会决定因素.
- 对预测模型的信任取决于与临床判断的感知一致性以及考虑患者多方面的需求.
结论:
- 对MOUD的预测模型必须设计以在用户之间建立适当的信任.
- 设计考虑应包括工具的目的,过程,限制和性能,以确保有效的临床整合.
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