开发和评估一个缩短的药物治疗方案复杂性指数 (A-MRCI)
Rebekah P Scrivens1,2, Ina Liu1,2, Joshua D Niznik3,4
1Department of Pharmacy, UNC Health, Chapel Hill, NC.
概括
缩写的药物治疗方案复杂性指数 (A-MRCI) 显示得分更高,与患者因素的相关性更好,而不是原来的MRCI. 这种自动化工具可能会改善药物管理和患者的治疗结果.
科学领域:
- 药理学和卫生服务研究 研究 药理学和卫生服务研究
- 临床药学和患者结果.
- 医疗信息学和电子健康记录
背景情况:
- 药物治疗方案复杂性指数 (MRCI) 是评估药物复杂性的工具.
- 在电子医疗记录 (EMR) 中自动化MRCI可以提高药物优化和患者的治疗结果.
- 目前的MRCI适应EMR自动化需要评估.
研究的目的:
- 开发和评估一个缩短的药物治疗方案复杂性指数 (A-MRCI).
- 为了比较A-MRCI与患者级因子之间的关联与原始MRCI.
- 评估EMR整合和药物治疗方案复杂性评估自动化的潜力.
主要方法:
- 通过临床药剂师和结果研究人员的专家小组审查,MRCI被修改.
- 来自138个电子健康记录的药物数据被用于计算MRCI和A-MRCI得分.
- 推断统计数据使用2017年心脏病学和晚期心力衰竭患者的数据比较了这些指数.
主要成果:
- A-MRCI得分明显高于MRCI得分 (平均差异为3.97,P < 0.0005).
- A-MRCI评分显示出与逗留时间 (P = 0.0005) 和多药性 (P < 0.0005) 有显著关联.
- 最初的MRCI没有显示与检查的患者级因素的证明关联.
结论:
- 平均而言,A-MRCI比MRCI更高,并且与关键患者水平因素更强烈相关.
- 内部分析表明,A-MRCI有可能自动集成到电子健康记录中.
- 建议在更大的外部样本中对A-MRCI进行进一步验证.
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