J Med Libr Assoc. 2020 Oct 1;108(4):598-604. doi: 10.5195/jmla.2020.983.
The research evaluated the differences in formatting of adverse drug reaction (ADR) information in drug monographs in commonly used drug information (DI) databases.
A cross-sectional analysis of formatting of ADR information for twenty commonly prescribed oral medications in seven commonly used DI databases was performed. Databases were assessed for presentation of ADR information, including presence of placebo comparisons, severity of ADR, onset of ADR, formatting of ADRs in percentile (quantitative) format or qualitative format, whether references were used to cite information, whether ADRs are grouped by organ system, and word count of the ADR section. Data were collected by two study investigators and discrepancies were resolved via consensus. Chi-square analyses and one-way analysis of variance (ANOVA) were used to evaluate for mean group differences in categorical and continuous data, respectively.
The seven DI databases varied significantly on each analyzed ADR variable, including variables known to impact interpretation such as placebo comparisons and qualitative versus quantitative formatting. Placebo comparisons were most common among monographs in Micromedex In-Depth Answers (70%) but were absent among monographs in Epocrates, Lexicomp, and Micromedex. Quantitative information was commonly used in most databases but was absent in Epocrates. Average word counts were higher in Clinical Pharmacology and Micromedex In-Depth answers compared to other databases.
Substantial variation in ADR formatting exists between the most common DI databases. These differences may translate into alternative interpretations of medical information and, thus, impact clinical judgment. Further studies are needed to assess whether these differences impact clinical practice.
本研究评估了常用药物信息(DI)数据库中药物专论中药物不良反应(ADR)信息格式的差异。
对 7 种常用 DI 数据库中 20 种常用口服药物的 ADR 信息格式进行了横断面分析。评估了数据库中 ADR 信息的呈现方式,包括是否有安慰剂对照、ADR 的严重程度、ADR 的发生时间、ADR 是否以百分位数(定量)格式或定性格式呈现、是否使用参考文献引用信息、ADR 是否按器官系统分组以及 ADR 部分的字数。两名研究人员收集数据,通过共识解决差异。使用卡方检验和单因素方差分析(ANOVA)分别评估分类和连续数据的均值组间差异。
这 7 个 DI 数据库在每个分析的 ADR 变量上差异显著,包括影响解释的变量,如安慰剂对照和定性与定量格式。安慰剂对照在 Micromedex In-Depth Answers 中的专论中最为常见(70%),但在 Epocrates、Lexicomp 和 Micromedex 中的专论中不存在。定量信息在大多数数据库中常用,但在 Epocrates 中不存在。与其他数据库相比,临床药理学和 Micromedex In-Depth 答案中的平均字数更高。
在最常用的 DI 数据库之间,ADR 格式存在很大差异。这些差异可能导致对医疗信息的不同解释,从而影响临床判断。需要进一步研究评估这些差异是否影响临床实践。