College of Pharmacy, Riyadh Elm University, Riyadh, Saudi Arabia.
Ministry of Health, Riyadh, Saudi Arabia.
J Pak Med Assoc. 2023 Apr;73(4):755-758. doi: 10.47391/JPMA.922.
To identify the incidence of medication error in a tertiary care hospital and to document the role of drug information centre to prevent such errors.
The retrospective cross-sectional study was conducted at the Security Forces Hospital, Riyadh, Saudi Arabia, and comprised review of secondary data collected from the Drug Information Centre from March 2013 to February 2016. The errors were categorised as under-prescribing, dispensing, administrating and transcription, while the received inquiries were classified according to the inquirer; physicians, pharmacists and nurses. The score was given according to the Grade of Severity scale. Data was analysed using IBM SPSS Statistics for Windows, version 20. Armonk, NY: IBM Corp. Categorical variables were presented as frequency and percentage.
Among the 2800 drug-related inquiries received, 238(8.5%) medication errors were detected. The inquirers of these queries included 108(45.4%) nurses. Administration errors were the highest 113(47.5%), while the least were transcription errors 31(13%). Majority of errors were committed by nurses 113(47.5%). Grade 2 errors were the most common 86(36.10%), while grade 4 life-threatening errors were minimal 2(0.8%). There were significant differences in the number of received questions based on the specialty (p˂0.05), staff having committed the error (p˂0.01) and the type of errors detected (p˂0.01).
The prevalence of medication errors committed by healthcare providers was high.
确定三级保健医院药物错误的发生率,并记录药物信息中心在预防此类错误中的作用。
这项在沙特阿拉伯利雅得安全部队医院进行的回顾性横断面研究,包括对 2013 年 3 月至 2016 年 2 月药物信息中心收集的二级数据进行回顾。错误被分为处方不足、配药、给药和转录错误,而收到的询问则根据询问者(医生、药剂师和护士)进行分类。根据严重程度等级量表给予评分。使用 IBM SPSS Statistics for Windows,版本 20 进行数据分析。位于纽约阿蒙克的 IBM 公司。分类变量以频率和百分比表示。
在收到的 2800 份与药物相关的询问中,发现了 238 份(8.5%)药物错误。这些查询的询问者包括 108 名(45.4%)护士。给药错误最高,有 113 项(47.5%),转录错误最少,有 31 项(13%)。大多数错误是由护士犯的 113 项(47.5%)。二级错误最常见 86 项(36.10%),四级危及生命的错误最少 2 项(0.8%)。收到的问题数量根据专业(p<0.05)、犯错误的员工(p<0.01)和检测到的错误类型(p<0.01)存在显著差异。
医疗保健提供者犯的药物错误发生率很高。