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Retrospective detection of potential medication errors involving drugs with similar names.

机译:回顾性检测涉及相似名称药物的潜在用药错误。

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OBJECTIVE: To estimate frequencies of potential errors involving similarly named drugs using a retrospective claims database and measure the association between frequencies of potential errors and two measures of drug name similarity, edit distance (minimum number of insertions, substitutions, or deletions of characters required to change a given word into another target word) and normalized edit distance (proportion of letters that must be changed to commute one word to another, and ranges from 0 to 1, with 0 indicating identical words, and 1 indicating a pair of words with no common letters). DESIGN: Retrospective database analysis. SETTING: Idaho Medicaid claims data from 1993 to 2000. PATIENTS: Not applicable. INTERVENTION: Potential errors were detected using adjacent claims generated by dispensing of one drug followed by dispensing of the other drug with a similar name. In all, four potential error criteria were developed: two for detecting potential refill errors and two for detecting potential initial errors. A total of 10 drug pairs were randomly selected from the Idaho Medicaid claims database for each value of edit distance, which ranged from 1 to 30 (n = 300). MAIN OUTCOME MEASURES: Frequencies of potential medication errors in claims sequences for initial and refill claims, edit distance, and normalized edit distance. RESULTS: Of 300 drug pairs studied, 106 (35.33%) were involved in at least one potential error. A total of 1,138 dispensing episodes satisfied the criteria for potential errors. Frequencies of potential errors per drug pair were negatively associated with edit distance (r = -0.133, P < .05) and normalized edit distance (r = -0.226, P < .01). Frequencies of potential initial errors also were negatively associated with edit distance (r = -0.126, P < .05) and normalized edit distance (r = -0.222, P < .01). Potential refill errors also had negative association with edit distance (r = -0.134, P < .05) and normalized edit distance (r = -0.226, P < .01). CONCLUSION: Error criteria were successfully applied to a retrospective claims database to detect potential initial and refill errors that involved similarly named drugs.
机译:目的:使用回顾性声明数据库来估计涉及相似名称药物的潜在错误的频率,并测量潜在错误的频率与两种药物名称相似性的度量之间的关联,编辑距离(最小插入,替换或删除字符所需的最小数量)将给定的单词更改为另一个目标单词)和标准化的编辑距离(必须更改以将一个单词转换为另一个单词的字母比例,范围为0到1,其中0表示相同的单词,而1表示一对没有单词的单词常用字母)。设计:回顾性数据库分析。地点:爱达荷州医疗补助要求的数据为1993年至2000年。患者:不适用。干预:通过分配一种药物,然后分配另一种具有类似名称的药物而产生的相邻声明,发现了潜在的错误。总共开发了四个潜在的错误标准:两个用于检测潜在的重新填充错误,两个用于检测潜在的初始错误。从爱达荷州医疗补助索赔数据库中随机选择总共10对药物,每个编辑距离的值范围为1到30(n = 300)。主要观察指标:初始和补充索赔,编辑距离和标准化编辑距离的索赔序列中潜在用药错误的频率。结果:在研究的300对药物中,有106种(35.33%)参与了至少一种潜在的错误。总共1,138次分发事件满足了潜在错误的标准。每个药物对的潜在错误频率与编辑距离(r = -0.133,P <.05)和归一化编辑距离(r = -0.226,P <.01)负相关。潜在初始误差的频率也与编辑距离(r = -0.126,P <.05)和归一化编辑距离(r = -0.222,P <.01)负相关。潜在的重新填充错误也与编辑距离(r = -0.134,P <.05)和归一化编辑距离(r = -0.226,P <.01)负相关。结论:错误标准已成功应用于回顾性索赔数据库,以检测涉及相似命名药物的潜在初始和补充错误。

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