Drug Safety Research Unit, Bursledon Hall, Blundell Lane, Bursledon, Southampton, SO31 1AA, UK.
Drug Saf. 2013 Mar;36(3):199-206. doi: 10.1007/s40264-013-0021-2.
In 2005, spontaneous reporting of adverse drug reactions (ADRs) to the UK's Yellow Card Scheme (YCS) was extended to include patient reports. Here, we investigate the potential pharmacovigilance impact of patient reporting.
The aim of the study was to investigate the relative contribution of patient reporting to signal detection through disproportionality analysis.
Data were analysed from all reports submitted directly to the YCS between October 2005 and September 2007. Three datasets of drug-ADR pairs were created: one for patient reports, one for healthcare professional (HCP) reports and one for all reports combined. The proportional reporting ratio (PRR) method was used to identify signals of disproportionate reporting (SDRs) in each dataset. The number of SDRs identified from patient and HCP reports were compared, as well as the type of ADR and suspect drug involved. A sensitivity analysis was performed to examine how combining the patient and HCP reports may affect the SDRs identified.
Data were received for 5,180 patient and 20,949 HCP reports, relating to 16,566 and 28,775 drug-ADR pairs, respectively, with 4,340 (10.6 %) pairs found in both datasets. A significantly higher proportion of the SDRs identified from HCP reports involved reactions classified as serious by the Medicines and Healthcare products Regulatory Agency (MHRA), compared with patient reports (n = 931, 48.0 % vs. n = 185, 28.5 %), or involved newly marketed drugs (n = 596, 30.7 % vs. n = 71, 10.9 %). The proportion of SDRs assessed as not listed on the Summary of Product Characteristics (SPC) was similar in each group (15 %, based on a random sample). After combining the patient and HCP reports, 278 (11 %) of the SDRs identified when each group was analysed separately no longer met the SDR criteria, including 12 potentially serious ADRs not listed on the product's SPC. On the other hand, the combined dataset identified an additional 508 SDRs that were not identified when patient or HCP reports were analysed separately. Approximately 10 % (n = 47) of these additional SDRs were assessed as serious ADRs and were not listed on the product's SPC.
Although this study is limited to the UK experience, overall, the results suggest that patient reporting may provide a positive complementary contribution to that of HCPs. Patient reporting may make an important contribution to drug safety by identifying different SDRs not identified from HCP reports alone. The combination of reports from patients and HCPs, however, when used for the purposes of signal detection through disproportionality analysis, may result in the loss of some information. One possible strategy is to conduct such analyses using reports from patients and HCPs combined, as well as separately for each group.
2005 年,英国的黄卡计划(YCS)将不良反应(ADR)的自发报告扩展到包括患者报告。在这里,我们研究了患者报告对药物警戒的潜在影响。
本研究旨在通过比例失衡分析调查患者报告对信号检测的相对贡献。
分析了 2005 年 10 月至 2007 年 9 月期间直接向 YCS 提交的所有报告的数据。创建了三个药物-ADR 对数据集:一个用于患者报告,一个用于医疗保健专业人员(HCP)报告,一个用于合并的所有报告。使用比例报告比(PRR)法识别每个数据集的比例失调报告(SDR)信号。比较了从患者和 HCP 报告中识别出的 SDR 数量,以及涉及的 ADR 和可疑药物类型。进行了敏感性分析,以检查合并患者和 HCP 报告如何影响识别出的 SDR。
共收到 5180 份患者和 20949 份 HCP 报告,分别涉及 16566 份和 28775 份药物-ADR 对,其中 4340 对(10.6%)在两个数据集均有发现。与患者报告相比(n=931,48.0%),HCP 报告中识别出的 SDR 涉及由药品和保健品管理局(MHRA)分类为严重的反应比例更高(n=185,28.5%),或者涉及新上市的药物(n=596,30.7%)。在每个组中,评估为未列在产品特性摘要(SPC)中的 SDR 比例相似(基于随机样本,约为 15%)。在合并患者和 HCP 报告后,当分别分析每组时,278 个(11%)识别出的 SDR 不再符合 SDR 标准,其中包括 12 种未列在产品 SPC 上的潜在严重 ADR。另一方面,合并数据集还确定了另外 508 个当仅分析患者或 HCP 报告时未识别出的 SDR。这些额外的 SDR 中有大约 10%(n=47)被评估为严重的 ADR,并且未列在产品的 SPC 上。
尽管这项研究仅限于英国的经验,但总体而言,结果表明患者报告可能对 HCP 的报告提供积极的补充贡献。通过识别 HCP 报告单独未识别的不同 SDR,患者报告可能对药物安全做出重要贡献。然而,当用于通过比例失衡分析进行信号检测时,患者和 HCP 报告的组合可能会导致一些信息丢失。一种可能的策略是使用患者和 HCP 报告的组合以及分别为每个组进行此类分析。