Research on dynamic monitoring of drug consumption based on statistical process control
- VernacularTitle:基于统计过程控制的药品用量动态监测研究
- Author:
Yang CHEN
1
;
Chonghui DAN
1
;
Meiling XU
1
;
Xiao CHEN
1
;
Ying LIU
1
;
Xiaoyuan ZHENG
1
Author Information
1. Dept. of Pharmacy，Chongqing Emergency Medical Center，Chongqing 400014，China
- Publication Type:Journal Article
- Keywords:
drug consumption;
drug dynamic monitoring;
statistical process control
- From:
China Pharmacy
2024;35(19):2328-2334
- CountryChina
- Language:Chinese
-
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.
