Similarity as a risk factor in drug-name confusion errors - The look-alike (orthographic) and sound-alike (phonetic) model
Similarity as a risk factor in drug-name confusion errors - The look-alike (orthographic) and sound-alike (phonetic) model
复制标题
DOI：
10.1097/00005650-199912000-00005
复制
发表时间：
1999-12-01
期刊：
影响因子：
3
通讯作者：
Gandhi, SK
中科院分区：
文献类型：
--
作者：
Lambert, BL;Lin, SJ;Gandhi, SK
背景。在美国报告的每四个用药错误中就有一个是名称混淆错误。如果不允许新的和令人混淆的名称在市场上出现，并且如果可以采取保障措施以避免现有名称之间的混淆，则名称混淆错误率可能会降低。评估几种药物名称混淆的预后试验，单独和联合，其敏感性，特异性和总体准确性。研究设计。病例对照研究。研究人员使用了22种不同的计算机测量方法，包括正字法相似度、正字法距离和语音相似度，来计算n = 1127个错误（即出现在已发表的错误报告或国家错误数据库中的成对名称）和n = 1127个对照的相似/距离分数。主要结果测量。在病例和对照组之间比较平均相似/距离得分。采用10倍交叉验证评价各指标区分病例和对照组的效果，检验剂量-反应关系，建立单因素和多因素logistic回归模型，并采用10倍交叉验证评价。病例的相似度得分明显高于对照组，每一种相似度都被证明是导致错误的重要风险因素。比值比随相似度的增加有显著的增加趋势。经交叉验证，三因素logistic回归模型的敏感性为93.7%，特异性为95.9%，准确性为94.8%。通过客观测量正字法相似度、正字法距离和语音距离，可以形成对药品名称混淆可能性的敏感和特异性测试。
BACKGROUND. One of every four medication errors reported in the United States is a name-confusion error. The rate of name-confusion errors might be reduced if new and confusing names were nor allowed on the market and if safeguards could be put in place to avoid confusion between existing names.OBJECTIVES. To evaluate several prognostic tests of drug-name confusion, alone and in combination, with respect to their sensitivity, specificity, and overall accuracy.RESEARCH DESIGN. Case-control study. Twenty-two different computerized measures of orthographic similarity, orthographic distance, and phonetic similarity were used to compute similarity/distance scores for n = 1,127 eases (ie, pairs of names that appeared in published error reports or national error databases) and n = 1,127 controls.MAIN OUTCOME MEASURES. Mean similarity/distance scores were compared across cases and controls. The performance of each measure at distinguishing between cases and controls was evaluated by tenfold crossvalidation, Dose-response relationships were examined, Univariate and multivariate logistic regression models were formed and evaluated by 10 fold crossvalidation.RESULTS. Cases had, significantly higher similarity scores than controls, Every measure of similarity proved to be a significant risk factor for error. There was a significant increasing trend in the odds-ratio as a function of similarity. A three-predictor logistic regression model had crossvalidated sensitivity of 93.7%, specificity of 95.9% and accuracy of 94.8%.CONCLUSIONS. A sensitive and specific test of drug-name confusion potential can be formed using objective measures of orthographic similarity, orthographic distance, and phonetic distance.