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Establishment and Application of an Index System for the Risk of Drug Shortages in China: Based on Delphi Method and Analytic Hierarchy Process
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. Method...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Kerman University of Medical Sciences
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10105199/ https://www.ncbi.nlm.nih.gov/pubmed/35297233 http://dx.doi.org/10.34172/ijhpm.2022.6360 |
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author | Shi, Yin Sun, Shusen Deng, Jing Liu, Shao Yin, Tao Peng, Qilin Gong, Zhicheng Cheng, Zihua Zhou, Boting |
author_facet | Shi, Yin Sun, Shusen Deng, Jing Liu, Shao Yin, Tao Peng, Qilin Gong, Zhicheng Cheng, Zihua Zhou, Boting |
author_sort | Shi, Yin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10105199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Kerman University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-101051992023-04-16 Establishment and Application of an Index System for the Risk of Drug Shortages in China: Based on Delphi Method and Analytic Hierarchy Process Shi, Yin Sun, Shusen Deng, Jing Liu, Shao Yin, Tao Peng, Qilin Gong, Zhicheng Cheng, Zihua Zhou, Boting Int J Health Policy Manag Original Article 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. Kerman University of Medical Sciences 2022-03-16 /pmc/articles/PMC10105199/ /pubmed/35297233 http://dx.doi.org/10.34172/ijhpm.2022.6360 Text en © 2022 The Author(s); Published by Kerman University of Medical Sciences https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Shi, Yin Sun, Shusen Deng, Jing Liu, Shao Yin, Tao Peng, Qilin Gong, Zhicheng Cheng, Zihua Zhou, Boting Establishment and Application of an Index System for the Risk of Drug Shortages in China: Based on Delphi Method and Analytic Hierarchy Process |
title | Establishment and Application of an Index System for the Risk of Drug Shortages in China: Based on Delphi Method and Analytic Hierarchy Process |
title_full | Establishment and Application of an Index System for the Risk of Drug Shortages in China: Based on Delphi Method and Analytic Hierarchy Process |
title_fullStr | Establishment and Application of an Index System for the Risk of Drug Shortages in China: Based on Delphi Method and Analytic Hierarchy Process |
title_full_unstemmed | Establishment and Application of an Index System for the Risk of Drug Shortages in China: Based on Delphi Method and Analytic Hierarchy Process |
title_short | Establishment and Application of an Index System for the Risk of Drug Shortages in China: Based on Delphi Method and Analytic Hierarchy Process |
title_sort | establishment and application of an index system for the risk of drug shortages in china: based on delphi method and analytic hierarchy process |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10105199/ https://www.ncbi.nlm.nih.gov/pubmed/35297233 http://dx.doi.org/10.34172/ijhpm.2022.6360 |
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