Senior Scientist, American Medical Association, United States Adopted Names Program, Suite 39300, 330 N. Wabash Ave, Chicago, IL, 60611-5885, USA.
Ther Innov Regul Sci. 2023 Jul;57(4):751-758. doi: 10.1007/s43441-023-00526-0. Epub 2023 May 12.
The Institute for Safe Medication Practices (ISMP) and the United States Food and Drug Administration (FDA) disseminated widely used lists of drug name pairs involved in wrong-drug errors, for which they recommended tall-man lettering (TML). Linguistic similarity is believed responsible for confusion of these drugs. This study aims to quantify linguistic similarity and other linguistic properties of these generic-generic name pairs.
The FDA's Phonetic and Orthographic Computer Analysis (POCA) software was used to generate numerical similarity scores for the generic-generic name pairs on these lists and to identify conflicts between these names and the names of other marketed products. Within each pair, differences in name length and the number of identical prefix (initial) letters and suffix (final) letters were determined.
The selected pairs shared a mean of 2.5 (± 1.8) identical prefix letters and 3.2 (± 2.9) identical suffix letters. The mean POCA score 69.5 (± 9.7), indicated moderate-to-high similarity. POCA scores for individual pairs ranged from 90 (most similar) to 46 (least similar). Individual names averaged 11.2 (± 9.1) high-similarity conflicts with names of other marketed drugs.
POCA analysis could be a valuable tool in determining whether linguistic similarity contributes to specific wrong-drug errors. The finding of 11.2 (± 9.1) high-similarity conflicts with names of other marketed drugs is more than for candidate names USAN accepts and suggests the names on the FDA and ISMP lists are linguistically problematic.
安全用药实践研究所(ISMP)和美国食品和药物管理局(FDA)广泛传播了涉及用药错误的药物名称对列表,他们建议使用 Tall-Man 字母(TML)。人们认为语言相似性是造成这些药物混淆的原因。本研究旨在量化这些通用-通用名称对的语言相似性和其他语言属性。
使用 FDA 的语音和拼法计算机分析(POCA)软件为这些列表中的通用-通用名称对生成数字相似性得分,并识别这些名称与其他市售产品名称之间的冲突。在每个对中,确定名称长度以及相同前缀(首字母)和后缀(尾字母)的数量之间的差异。
所选对共享 2.5(±1.8)个相同的前缀字母和 3.2(±2.9)个相同的后缀字母。平均 POCA 得分为 69.5(±9.7),表明中度到高度相似。个别对的 POCA 得分从 90(最相似)到 46(最不相似)不等。个别名称与其他市售药物的名称平均有 11.2(±9.1)个高相似度冲突。
POCA 分析可以成为确定语言相似性是否导致特定用药错误的有用工具。与其他市售药物的名称有 11.2(±9.1)个高相似度冲突的发现多于 USAN 接受的候选名称,这表明 FDA 和 ISMP 列表上的名称在语言上存在问题。