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药物信息数据库中的药物不良反应:呈现方式是否影响解读?

Adverse drug reactions in drug information databases: does presentation affect interpretation?

机构信息

Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI, and, Beaumont Hospital, Dearborn, MI,

Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI, and and, Ascension St. John Hospital, Dearborn, MI,

出版信息

J Med Libr Assoc. 2020 Jan;108(1):76-83. doi: 10.5195/jmla.2020.748. Epub 2020 Jan 1.

Abstract

OBJECTIVE

Formatting of adverse drug reaction (ADR) information differs among drug information (DI) resources and may impact clinical decision-making. The objective of this study was to determine whether ADR formatting impacts adverse event interpretation by pharmacy practitioners and students.

METHODS

Participants were randomized to receive ADR information in a comparative quantitative (CQUANT), noncomparative quantitative (NQUANT), or noncomparative qualitative (NQUAL) format to interpret 3 clinical vignettes. Vignettes involved patients presenting with adverse events that varied in the extent to which they were associated with a medication. The primary outcome was interpretation of the likelihood of medication-induced adverse events on a 10-point Likert scale. Lower scoring on likelihood (i.e., ADR deemed unlikely) reflected more appropriate interpretation. Linear regression was performed to analyze the effects of ADR information format on the primary outcome.

RESULTS

A total of 108 participants completed the study (39 students and 69 pharmacists). Overall, the CQUANT group had the lowest average likelihood compared to NQUAL (4.0 versus 5.4; <0.01) and NQUANT (4.0 versus 4.9; =0.016) groups. There was no difference between NQUAL and NQUANT groups (5.4 versus 4.9; =0.14). In the final model, at least 2 years of postgraduate training (-1.1; 95% CI: -1.8 to -0.3; <0.01) and CQUANT formatting (-1.3; 95% CI: -0.9 to -1.7; <0.01) were associated with reduced likelihood.

CONCLUSIONS

Formatting impacts pharmacists' and pharmacy students' interpretation of ADR information. CQUANT formatting and at least two years of postgraduate training improved interpretation of adverse events.

摘要

目的

药物信息资源中不良反应(ADR)信息的格式各不相同,可能会影响临床决策。本研究的目的是确定 ADR 格式是否会影响药剂师和学生对不良事件的解读。

方法

参与者被随机分配以接收比较定量(CQUANT)、非比较定量(NQUANT)或非比较定性(NQUAL)格式的 ADR 信息,以解释 3 个临床病例。病例涉及出现不良反应的患者,这些不良反应与药物的关联程度不同。主要结局是对 10 分制药物引起的不良事件发生可能性的解读。可能性评分越低(即认为 ADR 不太可能)反映出更恰当的解读。采用线性回归分析 ADR 信息格式对主要结局的影响。

结果

共有 108 名参与者完成了研究(学生 39 名,药剂师 69 名)。总体而言,CQUANT 组的平均可能性最低,与 NQUAL 组(4.0 对 5.4;<0.01)和 NQUANT 组(4.0 对 4.9;=0.016)相比。NQUAL 组和 NQUANT 组之间没有差异(5.4 对 4.9;=0.14)。在最终模型中,至少 2 年的研究生培训(-1.1;95%CI:-1.8 至-0.3;<0.01)和 CQUANT 格式(-1.3;95%CI:-0.9 至-1.7;<0.01)与降低的可能性相关。

结论

格式会影响药剂师和药学学生对 ADR 信息的解读。CQUANT 格式和至少 2 年的研究生培训改善了对不良事件的解读。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e701/6919994/78d3c451dbe0/jmla-108-76-f001.jpg

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