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基于统计过程控制的药品用量动态监测研究
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| 篇名： | 基于统计过程控制的药品用量动态监测研究 |
| TITLE： | Research on dynamic monitoring of drug consumption based on statistical process control |
| 摘要： | 目的 探索基于统计过程控制（SPC）的药品用量动态监测方法，以提升药品使用过程的宏观监管水平。方法根据药品费用和国家相关文件建立我院重点监控药品品种目录。以全院、门诊药房和住院药房的重点监控药品品种月度用量数据为监测对象，利用SPC的X控制图、移动极差控制图和指数加权移动平均值控制图建立药品用量动态监测（DMDC）模型，分别从单月用量、极差变化以及用量趋势3个维度进行监测。以瑞舒伐他汀、美托洛尔和美罗培南为例，展示DMDC模型的监测效果。结果针对全院、门诊药房和住院药房分别建立了包含203、167和200个品种的重点监控药品目录。在排除无法建模及建模失败的品种后，成功为这3个药品消耗区域分别建立了179、116和172个DMDC模型。这3组模型在2024年前4个月的实践中，警示的药品品种数分别为54、32、62个。所建DMDC模型成功监测了全院瑞舒伐他汀、门诊药房美托洛尔以及住院药房美罗培南等药品的月度用量。相较于我院原用的浮动率排序法，DMDC模型的应用显著提升了药品监测的范围和深度，监测品种由原先的约50种大幅扩展至179种，监测维度也从1个维度增加到了3个维度。结论基于SPC的DMDC模型有效、可行，适用于对月度用量较稳定的药品品种进行监测。 |
| ABSTRACT： | OBJECTIVE To investigate a method for dynamic monitoring of drug consumption （DMDC） based on statistical process control （SPC）， aiming to improve the macro-supervisory capacity in the process of drug utilization. METHODS The lists of key monitoring drug varieties in our hospital were established based on drug cost and relevant national documents. Monthly consumption data of key monitoring drug varieties in the entire hospital， outpatient pharmacy and inpatient pharmacy were taken as monitoring objects，and the DMDC model was established using SPC’s X control chart， moving range control chart， and exponentially weighted moving-average control chart， monitoring from three dimensions： single-month consumption， range variation， and consumption trend. Rosuvastatin， metoprolol and meropenem were taken as examples to demonstrate the monitoring capabilities of the DMDC model. RESULTS Lists of key monitoring drug varieties were established for entire hospital， outpatient pharmacy and inpatient pharmacy， containing 203， 167 and 200 varieties， respectively. After excluding drug varieties that could not be modeled and for which modeling failed， 179， 116 and 172 DMDC models were successfully established for these three drug consumption areas， respectively. During the first four months of 2024， these three groups of model separately warned 54， 32 and 62 drug varieties. The DMDC model successfully monitored the monthly consumption of drugs，such as rosuvastatin throughout the hospital， metoprolol in outpatient pharmacy， and meropenem in inpatient pharmacy. Compared with the previously used floating rate ranking method in our hospital， the application of the DMDC model significantly improved the scope and depth of drug monitoring， with the monitored drug varieties greatly expanded from about 50 to 179， and the monitoring dimensions increased from a single dimension to three. CONCLUSIONS The DMDC model based on SPC is effective and feasible，suitable for monitoring drug varieties with stable monthly consumption. |
| 期刊： | 2024年第35卷第19期 |
| 作者： | 陈杨；淡重辉；徐美玲；陈肖；刘颖；郑晓媛 |
| AUTHORS： | CHEN Yang，DAN Chonghui，XU Meiling，CHEN Xiao，LIU Ying，ZHENG Xiaoyuan |
| 关键字： | 药品用量；药品动态监测；统计过程控制 |
| KEYWORDS： | drug consumption； drug dynamic monitoring； statistical process control |
| 阅读数： | 3 次 |
| 本月下载数： | 0 次 |
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