Krummrey Gert, Sauter Thomas C, Hautz Wolf E, Müller Martin, Schwappach David L B
Institute for Medical Informatics (I4MI), Bern University of Applied Sciences (BFH), Biel/Bienne 2501, Switzerland.
Department of Emergency Medicine, Inselspital, Bern University Hospital, Bern 3010, Switzerland.
JAMIA Open. 2024 Oct 25;7(4):ooae103. doi: 10.1093/jamiaopen/ooae103. eCollection 2024 Dec.
This paper investigates the risk factors for wrong-patient medication orders in an emergency department (ED) by studying intercepted ordering errors identified by the "retract-and-reorder" (RaR) metric (orders that were retracted and reordered for a different patient by the same provider within 10 min).
Medication ordering data of an academic ED were analyzed to identify RaR events. The association of RaR events with similarity of patient names and birthdates, matching sex, age difference, the month, weekday, and hour of the RaR event, the elapsed hours since ED shift start, and the proximity of exam rooms in the electronic medical record (EMR) dashboard's layout was evaluated.
Over 5 years (2017-2021), 1031 RaR events were identified among a total of 561 099 medication orders leading to a proportional incidence of 184 per 100 000 ED orders (95% CI: 172; 195). RaR orders were less likely to be performed by nurses compared to physicians (OR 0.54 [0.47; 0.61], < .001). Furthermore, RaR pairs were more likely to have the same sex (OR 1.26 [95% CI 1.10; 1.43], = .001) and the proximity of the exam rooms was closer (-0.62 [95% CI -0.77; -0.47], = .001) compared to control pairs. Patients' names, birthdates, age, and the other factors showed no significant association ( > .005).
This study found no significant influence from factors such as similarity of patient names, age, or birthdates. However, the proximity of exam rooms in the user interface of the EMR as well as patients' same sex emerged as risk factors.
本文通过研究“撤回并重新下单”(RaR)指标所识别出的拦截医嘱错误(即同一医护人员在10分钟内为不同患者撤回并重新开具的医嘱),调查急诊科错误患者用药医嘱的风险因素。
分析某学术性急诊科的用药医嘱数据,以识别RaR事件。评估了RaR事件与患者姓名和出生日期的相似性、性别匹配、年龄差异、RaR事件发生的月份、工作日及时间、自急诊班次开始起经过的小时数,以及电子病历(EMR)仪表板布局中检查室的 proximity。(此处proximity未翻译,因为原文未给出其准确含义)
在5年期间(2017 - 2021年),在总共561099条用药医嘱中识别出1031起RaR事件,导致每100000条急诊医嘱的比例发病率为184例(95%置信区间:172;195)。与医生相比,护士执行RaR医嘱的可能性较小(比值比0.54 [0.47;0.61],P < 0.001)。此外,与对照组相比,RaR配对的患者更有可能性别相同(比值比1.26 [95%置信区间1.10;1.43],P = 0.001),且检查室的proximity更近(-0.62 [95%置信区间 -0.77;-0.47],P = 0.001)。患者的姓名、出生日期、年龄及其他因素未显示出显著关联(P > 0.005)。
本研究发现患者姓名、年龄或出生日期的相似性等因素没有显著影响。然而,电子病历用户界面中检查室的proximity以及患者性别相同成为风险因素。 (此处proximity未翻译,因为原文未给出其准确含义)