Document Type : Original Article
Authors
-
Yin Shi
1, 2, 3, 4
-
Shusen Sun
1, 2, 3, 4, 5
-
Jing Deng
6
-
Shao Liu
1, 2, 3, 4
-
Tao Yin
1, 2, 3, 4
-
Qilin Peng
1, 2, 3, 4
-
Zhicheng Gong
1, 2, 3, 4
-
Zihua Cheng
2, 3, 7
-
Boting Zhou
1, 2, 3, 4
1
Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China
2
National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
3
Hunan Drug Shortage Surveillance and Early Warning Center, Changsha, China
4
The Hunan Institute of Pharmacy Practice and Clinical Research, Changsha, China
5
Department of Pharmacy Practice, College of Pharmacy and Health Sciences, Western New England University, Springfeld, MA, USA
6
Department of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, China
7
Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China
Abstract
Background
At present, the avoidance of drug shortages mainly relies on expert experience. This study aimed to establish an evaluation index system for the risk of drug shortages in medical institutions in China and to apply the system to guide the graded management of drugs in short supply.
Methods
A two-round Delphi process was conducted to determine the indicators in the index system. The weight value of each indicator was calculated using analytic hierarchy process (AHP) methods. The data of drugs in short supply from January 1 to December 31, 2020 in Hunan province were collected and evaluated using this index system. The evaluation scores, which ranged from 0 to 100, were calculated.
Results
A three-level index system with four first-level indicators, 11 second-level indicators, and 36 third-level indicators was constructed by the two rounds of the Delphi process. The expert authority coefficient (Cr) of the first and second rounds of consultation were 0.88 and 0.90, respectively. The Kendall’s coefficients of concordance (Kendall’s W) for the two rounds of consultation were 0.44 and 0.50, respectively (P < .05). For the first-level indicators ‘supply stability,’ ‘causes of shortage,’ ‘medicine availability in medical institution’ and ‘pharmaceutical properties,’ the weight values were 0.3253, 0.2489, 0.2398, and 0.1860, respectively. Based on the risk evaluation score, drugs (dosage strength) at high risk of shortage included sodium thiosulfate (0.64 g), posterior pituitary lobe hormones (1 mL:6 IU), protamine sulfate (5 mL:50 mg), thrombin (500 U), urokinase (10 WU), and rotundine sulfate (2 mL:60 mg).
Conclusion
An indexed system for the risk assessment of drug shortages in China was established to guide the graded response to drug shortages in medical institutions and the implementation of differential management strategies to address these shortages.
Keywords