Chongthavonsatit Nichapha, Kovavinthaweewat Chayanich, Yuksen Chaiyaporn, Sittichanbuncha Yuwares, Angkoontassaneeyarat Chuenruthai, Atiksawedparit Pongsakorn, Phattharapornjaroen Phatthranit
Chakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Mahidol University, Bangkok, Thailand.
Glob Pediatr Health. 2021 Mar 19;8:2333794X21999144. doi: 10.1177/2333794X21999144. eCollection 2021.
Pediatric emergency care is prone to medication errors in many aspects including prescriptions, administrations, and monitoring. This study was designed to assess the effects of computer-assisted calculation on reducing error rates and time to prescription of specific emergency drugs. We conducted a randomized crossover experimental study involving emergency medicine residents and paramedics in the Department of Emergency Medicine at Ramathibodi Hospital. Participants calculated and prescribed medications using both the conventional method and a computer-assisted method. Medication names, dosages, routes of administration, and time to prescription were collected and analyzed using logistic and quantile regression analysis. Of 562 prescriptions, we found significant differences between computer-assisted calculation and the conventional method in the calculation accuracy of overall medications, pediatric advanced life support (PALS) drugs, and sedative drugs (91.17% vs 67.26%, 86.54% vs 46.15%, and 89.29% vs 57.86%, respectively, < .001). Moreover, there were significant differences in calculation time for overall medications, PALS drugs and sedative drugs (25 vs 47 seconds, < .001), and computer-assisted calculation significantly decreased the gap in medication errors between doctors and paramedics ( < .001). We conclude that computer-assisted prescription calculation provides benefits over the conventional method in accuracy of all medication dosages and in time required for calculation, while enhancing the drug prescription ability of paramedics.
儿科急诊护理在包括处方、给药和监测等许多方面都容易出现用药错误。本研究旨在评估计算机辅助计算对降低特定急救药物的错误率和开处方时间的影响。我们在拉玛蒂博迪医院急诊科进行了一项随机交叉实验研究,涉及急诊医学住院医师和护理人员。参与者使用传统方法和计算机辅助方法计算并开出处方。收集药物名称、剂量、给药途径和开处方时间,并使用逻辑回归和分位数回归分析进行分析。在562份处方中,我们发现计算机辅助计算与传统方法在总体药物、儿科高级生命支持(PALS)药物和镇静药物的计算准确性方面存在显著差异(分别为91.17%对67.26%、86.54%对46.15%、89.29%对57.86%,P<0.001)。此外,总体药物、PALS药物和镇静药物的计算时间也存在显著差异(25秒对47秒,P<0.001),并且计算机辅助计算显著缩小了医生和护理人员在用药错误方面的差距(P<0.001)。我们得出结论,计算机辅助处方计算在所有药物剂量的准确性和计算所需时间方面比传统方法更具优势,同时提高了护理人员的药物处方能力。