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使用自动配药系统的养老院中的用药错误

Medication administration errors in nursing homes using an automated medication dispensing system.

作者信息

van den Bemt Patricia M L A, Idzinga Jetske C, Robertz Hans, Kormelink Dennis Groot, Pels Neske

机构信息

Utrecht University, Faculty of Science, Utrecht Institute for Pharmaceutical Sciences, Division of Pharmacoepidemiology & Pharmacotherapy, Utrecht, The Netherlands.

出版信息

J Am Med Inform Assoc. 2009 Jul-Aug;16(4):486-92. doi: 10.1197/jamia.M2959. Epub 2009 Apr 23.

Abstract

OBJECTIVE To identify the frequency of medication administration errors as well as their potential risk factors in nursing homes using a distribution robot. DESIGN The study was a prospective, observational study conducted within three nursing homes in the Netherlands caring for 180 individuals. MEASUREMENTS Medication errors were measured using the disguised observation technique. Types of medication errors were described. The correlation between several potential risk factors and the occurrence of medication errors was studied to identify potential causes for the errors. RESULTS In total 2,025 medication administrations to 127 clients were observed. In these administrations 428 errors were observed (21.2%). The most frequently occurring types of errors were use of wrong administration techniques (especially incorrect crushing of medication and not supervising the intake of medication) and wrong time errors (administering the medication at least 1 h early or late).The potential risk factors female gender (odds ratio (OR) 1.39; 95% confidence interval (CI) 1.05-1.83), ATC medication class antibiotics (OR 11.11; 95% CI 2.66-46.50), medication crushed (OR 7.83; 95% CI 5.40-11.36), number of dosages/day/client (OR 1.03; 95% CI 1.01-1.05), nursing home 2 (OR 3.97; 95% CI 2.86-5.50), medication not supplied by distribution robot (OR 2.92; 95% CI 2.04-4.18), time classes "7-10 am" (OR 2.28; 95% CI 1.50-3.47) and "10 am-2 pm" (OR 1.96; 1.18-3.27) and day of the week "Wednesday" (OR 1.46; 95% CI 1.03-2.07) are associated with a higher risk of administration errors. CONCLUSIONS Medication administration in nursing homes is prone to many errors. This study indicates that the handling of the medication after removing it from the robot packaging may contribute to this high error frequency, which may be reduced by training of nurse attendants, by automated clinical decision support and by measures to reduce workload.

摘要

目的 确定使用配送机器人的养老院中给药错误的发生率及其潜在风险因素。设计 本研究是一项前瞻性观察性研究,在荷兰的三家养老院中对180名个体进行。测量 使用伪装观察技术测量给药错误。描述给药错误的类型。研究几个潜在风险因素与给药错误发生之间的相关性,以确定错误的潜在原因。结果 共观察了对127名患者的2025次给药。在这些给药过程中,观察到428次错误(21.2%)。最常出现的错误类型是使用错误的给药技术(尤其是药物碾碎不正确和未监督药物摄入)以及错误的时间错误(给药时间提前或推迟至少1小时)。潜在风险因素包括女性性别(优势比(OR)1.39;95%置信区间(CI)1.05 - 1.83)、解剖治疗学化学(ATC)药物分类中的抗生素(OR 11.11;95% CI 2.66 - 46.50)、药物被碾碎(OR 7.83;95% CI 5.40 - 11.36)、每位患者每天的给药剂量数(OR 1.03;95% CI 1.01 - 1.05)、养老院2(OR 3.97;95% CI 2.86 - 5.50)、药物不是由配送机器人提供的(OR 2.92;95% CI 2.04 - 4.18)、时间类别“上午7点至10点”(OR 2.28;95% CI 1.50 - 3.47)和“上午10点至下午2点”(OR 1.96;1.18 - 3.27)以及星期“星期三”(OR

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