在从医院到家庭过渡期间使用口服阿片类药物的癌症疼痛患者的药物偏差的构建和验证
在PubMed上查看摘要
概括
此摘要是机器生成的。一个新的药物偏差风险预测模型 (MDRP) 准确地识别了癌症疼痛患者在医院到家庭过渡期间有药物错误的风险. 一个简单的评分表有助于临床实践.
科学领域
- 癌症学
- 药理学
- 患者安全
背景情况
- 医院到家庭的过渡带来了药物错误的重大风险,
- 有效的风险预测模型对于减轻这些错误至关重要.
研究的目的
- 为从医院到家庭的癌症疼痛患者构建和验证药物偏差风险预测模型 (MDRP).
- 根据MDRP制定一个实际的风险评分表.
主要方法
- 使用药物偏差评估表进行建模.
- 单变量分析和后勤回归确定了影响因素.
- 霍斯默-莱梅肖 (H-L) 和接收器操作特征 (ROC) 曲线验证了该模型的预测能力.
- 进行了外部验证和风险评分表的开发.
主要成果
- 该MDRP确定了五个独立的影响因素:BPI得分,并发症数量,护理人员的存在,药物坚持以及焦虑/抑郁.
- 该模型的预测准确度很高 (AUC=0. 875,灵敏度=0. 765,特异性=0. 882).
- 一个简单的风险评分表达到0. 886的AUC,预测准确率为86. 90%.
结论
- 癌症疼痛患者的MDRP具有很高的敏感性和特异性.
- 开发的风险评分表是一个方便且实用的临床应用工具.
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