Study on the Relationship Between the Number of Adverse Drug Reactions of Essential Drugs and Visits: Based on Vector Autoregressive Model

Wan Tang,1,2 Hongdou Chen,1,2 Zixin Zhang,1,2 Gang Wu,1,2 Yanquan Lin1– 3 1Pharmacy, Suqian Hospital of Nanjing Drum-Tower Hospital Group, Suqian, People’s Republic of China; 2Pharmacy, Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, People’s Republic of China; 3Pharmacy, Xuzhou Med...

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Main Authors: Tang W, Chen H, Zhang Z, Wu G, Lin Y
Format: Article
Language:English
Published: Dove Medical Press 2023-12-01
Series:Risk Management and Healthcare Policy
Subjects:
Online Access:https://www.dovepress.com/study-on-the-relationship-between-the-number-of-adverse-drug-reactions-peer-reviewed-fulltext-article-RMHP
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author Tang W
Chen H
Zhang Z
Wu G
Lin Y
author_facet Tang W
Chen H
Zhang Z
Wu G
Lin Y
author_sort Tang W
collection DOAJ
description Wan Tang,1,2 Hongdou Chen,1,2 Zixin Zhang,1,2 Gang Wu,1,2 Yanquan Lin1– 3 1Pharmacy, Suqian Hospital of Nanjing Drum-Tower Hospital Group, Suqian, People’s Republic of China; 2Pharmacy, Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, People’s Republic of China; 3Pharmacy, Xuzhou Medical University, Xuzhou, People’s Republic of ChinaCorrespondence: Hongdou Chen, Email chenhongdou2000@aliyun.comObjective: To analyse the relationship between the adverse drug reactions (ADRs) of essential drugs and visits, based on the recorded annual increase in ADRs associated with essential medicines in China, to provide a reliable theoretical basis for further analysis and optimization of the safety of essential drugs.Methods: The data of adverse reactions of essential drugs in China from 2011 to 2020, time series analysis was conducted, and vector autoregressive (VAR) model was established. The relationship between the number of ADRs and visits was explored empirically through Granger causality test, impulse response function and variance decomposition.Results: There was a long-term cointegration relationship and one-way causality between the number of visits and ADRs caused by essential medicines. In the initial stage, the ADR response to the number of visits increased sharply, but with an increase in the number of lag periods, the impact remained basically stable, even showing a slight decreasing trend.Conclusion: The number of visits impacts ADRs caused by essential medicines, but this impact remains basically stable after reaching a certain level.Keywords: essential medicines, adverse drug reactions, vector autoregressive model, time-series analysis
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spelling doaj.art-3743b7d4b70c4b4e8e0747f95f7ad1a82023-12-14T17:01:45ZengDove Medical PressRisk Management and Healthcare Policy1179-15942023-12-01Volume 162771277889038Study on the Relationship Between the Number of Adverse Drug Reactions of Essential Drugs and Visits: Based on Vector Autoregressive ModelTang WChen HZhang ZWu GLin YWan Tang,1,2 Hongdou Chen,1,2 Zixin Zhang,1,2 Gang Wu,1,2 Yanquan Lin1– 3 1Pharmacy, Suqian Hospital of Nanjing Drum-Tower Hospital Group, Suqian, People’s Republic of China; 2Pharmacy, Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, People’s Republic of China; 3Pharmacy, Xuzhou Medical University, Xuzhou, People’s Republic of ChinaCorrespondence: Hongdou Chen, Email chenhongdou2000@aliyun.comObjective: To analyse the relationship between the adverse drug reactions (ADRs) of essential drugs and visits, based on the recorded annual increase in ADRs associated with essential medicines in China, to provide a reliable theoretical basis for further analysis and optimization of the safety of essential drugs.Methods: The data of adverse reactions of essential drugs in China from 2011 to 2020, time series analysis was conducted, and vector autoregressive (VAR) model was established. The relationship between the number of ADRs and visits was explored empirically through Granger causality test, impulse response function and variance decomposition.Results: There was a long-term cointegration relationship and one-way causality between the number of visits and ADRs caused by essential medicines. In the initial stage, the ADR response to the number of visits increased sharply, but with an increase in the number of lag periods, the impact remained basically stable, even showing a slight decreasing trend.Conclusion: The number of visits impacts ADRs caused by essential medicines, but this impact remains basically stable after reaching a certain level.Keywords: essential medicines, adverse drug reactions, vector autoregressive model, time-series analysishttps://www.dovepress.com/study-on-the-relationship-between-the-number-of-adverse-drug-reactions-peer-reviewed-fulltext-article-RMHPessential medicinesadverse drug reactionsvector autoregressive modeltime-series analysis
spellingShingle Tang W
Chen H
Zhang Z
Wu G
Lin Y
Study on the Relationship Between the Number of Adverse Drug Reactions of Essential Drugs and Visits: Based on Vector Autoregressive Model
Risk Management and Healthcare Policy
essential medicines
adverse drug reactions
vector autoregressive model
time-series analysis
title Study on the Relationship Between the Number of Adverse Drug Reactions of Essential Drugs and Visits: Based on Vector Autoregressive Model
title_full Study on the Relationship Between the Number of Adverse Drug Reactions of Essential Drugs and Visits: Based on Vector Autoregressive Model
title_fullStr Study on the Relationship Between the Number of Adverse Drug Reactions of Essential Drugs and Visits: Based on Vector Autoregressive Model
title_full_unstemmed Study on the Relationship Between the Number of Adverse Drug Reactions of Essential Drugs and Visits: Based on Vector Autoregressive Model
title_short Study on the Relationship Between the Number of Adverse Drug Reactions of Essential Drugs and Visits: Based on Vector Autoregressive Model
title_sort study on the relationship between the number of adverse drug reactions of essential drugs and visits based on vector autoregressive model
topic essential medicines
adverse drug reactions
vector autoregressive model
time-series analysis
url https://www.dovepress.com/study-on-the-relationship-between-the-number-of-adverse-drug-reactions-peer-reviewed-fulltext-article-RMHP
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