[通过触发器检测抗凝剂用药错误]。

Pub Date : 2024-09-14 DOI:10.26442/00403660.2024.08.202817
V A Otdelenov, E B Kleymenova, M D Nigmatkulova, S A Payushchik, O D Dukhanina, L P Yashina, D A Sychev
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引用次数: 0

摘要

背景:用药错误可导致可预防的不良事件。例如,抗凝剂(AC)的不当使用会导致出血和血栓栓塞并发症。对抗凝剂用药错误的检测和分析可揭示医疗机构安全系统的缺陷。目的:该研究旨在开发一种系统检测抗凝剂用药错误的方法,以便进行审计、分析和制定用药安全改进措施:研究在多学科医院进行,纳入了2019年1月至2021年12月期间收治的4924名接受抗凝药物治疗的患者。三个实验室触发因素(国际正常化比率≥4、血清肌酐≥133 μmol/l和肾小球滤过率2)帮助发现了4304个病例。将这些数据与患者数据进行比对,有助于制定综合诱因。两名临床药理学家审查了所有通过组合触发器确定的病例,以检查用药错误。如果在综合触发器选择的病史中发现抗凝药物错误,触发器即被视为阳性:结果:在 4924 名患者中,有 253 人(5.3%)被联合触发器选中。通过联合触发,医疗健康记录审核量减少了 97.3%。在 137 名患者中发现了用药错误。所选组合触发器的阳性预测值从 0 到 63.9% 不等。所有综合触发器的阳性预测值合计为 54.2%。2.8%的患者发现了交流性用药错误:使用综合触发器对所有接受 AC 治疗的住院病人进行系统性 AC 用药错误检测的方法可以揭示典型的用药错误,从而进行分析并制定措施,减少医疗机构中可预防的患者伤害。
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[Detection of anticoagulant medication errors by triggers].

Background: Medication errors can cause preventable adverse events. For example, inappropriate use of anticoagulants (AC) can result in bleeding and thromboembolic complications. Detection and analysis of AC medication errors allow to reveal deficiencies in the safety systems in healthcare organizations.

Aim: The study was aimed to develop a method of systematic detection of anticoagulant medication errors for consequent audit, analysis and development of medication safety improvement measures.

Materials and methods: The study was conducted in the multidisciplinary hospital and included 4924 patients admitted from January 2019 to December 2021 who received AC. Three laboratory triggers (international normalized ratio ≥4, serum creatinine ≥133 μmol/l, and glomerulofiltration rate <30 ml/min/1.73 m2) helped to reveal 4304 cases. Their matching with patient's data helped to develop combined triggers. Two clinical pharmacologists reviewed all cases identified by combined triggers for checking medication errors. The trigger was considered positive when anticoagulant medication error was detected in the history selected by combined trigger.

Results: Of the 4924 patients 253 (5.3%) were selected by combined triggers. Combined trigger allowed to reduce the amount of medical health records audit by 97.3%. Medication errors were detected in 137 patients. Positive predictive value of selected combined triggers varied from 0 to 63.9%. Aggregated positive predictive value of all combined triggers amounted to 54.2%. AC medication errors were detected in 2.8% patients.

Conclusion: Method of systematic detection of AC medication errors using combined triggers in all hospitalized patients receiving AC allowed to reveal typical medication errors for consequent analysis and elaboration of measures to reduce preventable patient harm in healthcare settings.

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