用药适宜性检查(CMA)对优化镇痛处方的影响

C. Quintens, J. Coster, L. Linden, B. Morlion, E. Nijns, B. V. D. Bosch, W. Peetermans, I. Spriet
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摘要

背景和重要性住院患者的疼痛治疗通常是次优的,可以通过临床药学服务来改善,以优化疼痛控制,减少与药物不良事件和过度使用相关的医源性伤害。在我们医院,我们实施了软件支持的药物适当性检查(CMA),这是一项集中的药剂师主导的服务,包括基于临床规则的潜在不适当处方筛选(pip)和药剂师随后的药物审查。目的和目的我们旨在调查CMA对疼痛相关处方的影响。材料与方法采用中断时间序列设计,在一家1995年有床位的三级医院进行准实验研究。实施前,患者接受标准护理。之后,在实施后阶段实施了一项以疼痛为重点的CMA,该CMA包括与镇痛药处方有关的12项临床规则。采用回归模型评估干预对疼痛相关残余pip数量的影响。在实施前期,回顾性收集数据(2016年1月至2018年12月)。实施后(2019年1月至2020年7月),在CMA中前瞻性地确定了初始PIP。记录了执行后期间的建议总数和接受率。在基线时,剩余pip的中位数比例为69.0%(50.0-83.3%),每天的中位数为13.1(9.5-15.8)个剩余pip。经过CMA干预后,中位比例和中位人数分别下降到11.8%(范围0-50%)和2.2(范围0-9.5)。临床规则显示立即相对减少66% (p)结论和相关性我们证明CMA方法改善了镇痛处方,因为疼痛相关残留pip的数量以非常显著和持续的方式减少。实施后时期的下降趋势可能表明对医生的学习效应,导致建议的接受率随着时间的推移而提高。应进一步促进药师的参与和住院期间临床规则的使用,以优化合理的镇痛药处方。参考文献和/或致谢利益冲突无利益冲突
本文章由计算机程序翻译,如有差异,请以英文原文为准。
4CPS-336 Impact of check of medication appropriateness (CMA) in optimising analgesic prescribing
Background and importance Pain therapy in inpatients is regularly suboptimal and might be improved by clinical pharmacy services with the aim of optimising pain control and reducing iatrogenic harm related to adverse drug events and overuse. In our hospital, we have implemented a software supported check of medication appropriateness (CMA), which is a centralised pharmacist led service consisting of a clinical rule based screening for potentially inappropriate prescriptions (PIPs) and a subsequent medication review by pharmacists. Aim and objectives We aimed to investigate the impact of the CMA on pain related prescribing. Material and methods A quasi-experimental study was performed in a 1995 bed tertiary hospital, using an interrupted time series design. Pre-implementation, patients were exposed to standard of care. Afterwards, a pain focused CMA comprising 12 clinical rules pertaining to analgesic prescribing were implemented in the post-implementation period. A regression model was used to assess the impact of the intervention on the number of pain related residual PIPs. For the pre-implementation period, data collection was performed retrospectively (January 2016 to December 2018). Post-implementation (January 2019 to July 2020), an initial PIP was identified prospectively in the CMA. The total number of recommendations and acceptance rate were recorded for the post-implementation period. Results At baseline, the median proportion of residual PIPs was 69.0% (range 50.0–83.3%) with a median number of 13.1 (range 9.5–15.8) residual PIPs per day. After the CMA intervention, the median proportion and median number decreased to 11.8% (range 0–50%) and 2.2 (range 0–9.5), respectively. Clinical rules showed an immediate relative reduction of 66% (p Conclusion and relevance We proved that the CMA approach improved analgesic prescribing, as the number of pain related residual PIPs was reduced in a highly significant and sustained manner. The downward trend in the post-implementation period might indicate a learning effect on physicians, resulting in a higher acceptance rate of recommendations over time. More pharmacist involvement and the use of clinical rules during hospital stay should be further promoted to optimise appropriate prescribing of analgesics. References and/or acknowledgements Conflict of interest No conflict of interest
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