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自发报告不良反应质量传递到一个区域药物警戒单位。

Quality of Spontaneous Reports of Adverse Drug Reactions Sent to a Regional Pharmacovigilance Unit.

机构信息

Public Health Unit, Local Health Unit of Guarda, 6301-858 Guarda, Portugal.

Pharmacovigilance Unit of Beira Interior, Faculty of Health Sciences, University of Beira Interior, 6200-506 Covilha, Portugal.

出版信息

Int J Environ Res Public Health. 2022 Mar 22;19(7):3754. doi: 10.3390/ijerph19073754.

Abstract

Spontaneous reports (SRs) of adverse drug reactions (ADRs) remain the basis of pharmacovigilance systems. The main objective of this study was to evaluate the quality of SRs received by the Pharmacovigilance Unit of Beira Interior, in Central Portugal. The second objective was to identify factors associated with complete SRs. SRs received between 1 January 2017 and 31 October 2019 were analyzed. SR information was classified as "mandatory" or "recommended" criteria. SR were then grouped into three categories (well, slightly, and poorly documented). Association between "well documented" SR and confounding variables was estimated using a multiple logistic regression model. The results showed 22.4% of SRs are "well documented", and 41.2% are "poorly documented". Most of the complete SRs correspond to non-serious ADRs (55.8%), with a negative association between complete SRs and serious ADRs (OR = 0.595, [95% CI 0.362-0.977], = 0.040). There is also a significant association between complete SRs and e-mail notification (OR = 1.876, [95% CI 1.060-3.321], = 0.002). The results highlight the small amount of SR documentation sent to pharmacovigilance systems. There is an association between non-serious ADRs and complete SRs. These results reinforce the need for training for notification of ADRs and that these SRs include as much information as possible for an effective drug risk management.

摘要

自发报告(SRs)仍然是药物警戒系统的基础。本研究的主要目的是评估葡萄牙中部贝拉因特拉尔药物警戒单位收到的 SR 质量。第二个目的是确定与完整 SR 相关的因素。分析了 2017 年 1 月 1 日至 2019 年 10 月 31 日期间收到的 SR 信息。将 SR 信息分为“强制性”或“推荐性”标准。然后将 SR 分为三类(记录良好、记录稍有欠缺和记录较差)。使用多因素逻辑回归模型评估“记录良好”SR 与混杂变量之间的相关性。结果显示,22.4%的 SR 记录良好,41.2%的 SR 记录较差。大多数完整的 SR 对应于非严重的药物不良反应(55.8%),完整的 SR 与严重的药物不良反应之间呈负相关(OR = 0.595,[95%CI 0.362-0.977], = 0.040)。完整的 SR 与电子邮件通知之间也存在显著相关性(OR = 1.876,[95%CI 1.060-3.321], = 0.002)。结果表明,向药物警戒系统发送的 SR 记录数量较少。非严重的药物不良反应与完整的 SR 之间存在关联。这些结果强调了对药物不良反应报告进行培训的必要性,并且这些 SR 应尽可能包含更多信息,以实现有效的药物风险管理。

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