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与药物错误分类标准方案的评分者间一致性。

Interrater agreement with a standard scheme for classifying medication errors.

作者信息

Forrey Ryan A, Pedersen Craig A, Schneider Philip J

机构信息

Department of Pharmacy, The Ohio State University Medical Center, Columbus, OH 43210-1291, USA.

出版信息

Am J Health Syst Pharm. 2007 Jan 15;64(2):175-81. doi: 10.2146/ajhp060109.

Abstract

PURPOSE

The interrater agreement for and reliability of the National Coordinating Council for Medication Error Reporting and Prevention (NCC MERP) index for categorizing medication errors were determined.

METHODS

A letter was sent by the U.S. Pharmacopeia to all 550 contacts in the MEDMARX system user database. Participants were asked to categorize 27 medication scenarios using the NCC MERP index and were randomly assigned to one of three tools (the index alone, a paper-based algorithm, or a computer-based algorithm) to assist in categorization. Because the NCC MERP index accounts for harm and cost, and because categories could be interpreted as substantially similar, study results were analyzed after the nine error categories were collapsed to six. The interrater agreement was measured using Cohen's kappa value.

RESULTS

Of 119 positive responses, 101 completed surveys were returned for a response rate of 85%. There were no significant differences in baseline demographics among the three groups. The overall interrater agreement for the participants, regardless of group assignment, was substantial at 0.61 (95% confidence interval [CI], 0.41-0.81). There was no difference among the kappa values of the three study groups and the tools used to aid in medication error classification. When the index was condensed from nine categories to six, the interrater agreement increased with a kappa value of 0.74 (95% CI, 0.56-0.90).

CONCLUSION

Overall interrater agreement for the NCC MERP index for categorizing medication errors was substantial. The tool provided to assist with categorization did not influence overall categorization. Further refining of the scale could improve the usefulness and validity of medication error categorization.

摘要

目的

确定国家药物错误报告和预防协调委员会(NCC MERP)用于对药物错误进行分类的评分者间一致性和可靠性。

方法

美国药典向MEDMARX系统用户数据库中的所有550个联系人发送了一封信。要求参与者使用NCC MERP指数对27个用药场景进行分类,并被随机分配到三种工具之一(仅指数、纸质算法或计算机算法)以协助分类。由于NCC MERP指数考虑了伤害和成本,并且由于类别可被解释为基本相似,因此在将九个错误类别合并为六个之后对研究结果进行了分析。使用科恩kappa值测量评分者间一致性。

结果

在119份积极回复中,共返回101份完整的调查问卷,回复率为85%。三组之间的基线人口统计学特征无显著差异。无论分组如何,参与者的总体评分者间一致性较高,kappa值为0.61(95%置信区间[CI],0.41 - 0.81)。三个研究组以及用于辅助药物错误分类的工具的kappa值之间没有差异。当指数从九个类别浓缩为六个时,评分者间一致性增加,kappa值为0.74(95% CI,0.56 - 0.90)。

结论

NCC MERP指数用于对药物错误进行分类的总体评分者间一致性较高。提供的辅助分类工具并未影响总体分类。进一步完善该量表可提高药物错误分类的实用性和有效性。

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