Zarif-Yeganeh Morvarid, Rastegarpanah Mansoor, Garmaroudi Gholamreza, Hadjibabaie Molouk, Sheikh Motahar Vahedi Hojjat
Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Dept. of Clinical Pharmacy, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Iran J Public Health. 2017 Aug;46(8):1086-1094.
This study was conducted to evaluate the incidence of medication discrepancies and its related factors using medication reconciliation method in patients admitted to the emergency department of Tehran University of Medical Sciences hospitals.
In this cross-sectional study, 200 adult patients with at least one chronic disease that used two regular prescription medications were included in 2015. After 24 h of admission, demographic data and patient's home medications were collected. Medication discrepancies were assessed through comparison of a best possible medication history list with the physician's orders.
Out of 200 patients (mean age, 61.5 yr; 86 males, 114 women), 77.5% of patients had one or more medication discrepancies. The most common discrepancies were medication omission (35.49%), change (14.22%) and substitution (10.97%), respectively. The relationship between number of comorbid conditions (=0.025), regular home medications (=<0.001), high-risk medications (=0.032), medications pharmacological classes (=<0.001) and medication discrepancies were statistically significant. Cardiovascular drugs compared to other medications classes showed the highest discrepancies (36.2%). Multiple logistic regression showed that the drug groups, including anti-infective for systemic use (OR=8.43; 95%CI 2.5-28.2; =0.001), Antineoplastic and Immuno-modulator Agents (OR=0.49; 95%CI 0.27-0.87; =0.016), Blood and Blood-Forming Organs (OR=0.33; 95%CI 0.21-0.52; <0.001), Muscular-Skeletal System (OR=2.4; 95%CI 1.13-5.1; =0.022), Nervous-System (OR=2.75; 95%CI 1.7-4.4; <0.001), Respiratory-System (OR=0.38; 95%CI 0.22-0.67; =0.001) were associated with the drug discrepancy.
A medication discrepancy occurs commonly at hospital emergency department. Understanding the type and frequency of discrepancies with using structured medication reconciliation process can help clinicians to prevent them.
本研究旨在采用用药核对方法评估德黑兰医科大学附属医院急诊科收治患者的用药差异发生率及其相关因素。
在这项横断面研究中,2015年纳入了200名患有至少一种慢性病且使用两种常规处方药的成年患者。入院24小时后,收集人口统计学数据和患者的家庭用药情况。通过将最佳可能用药史清单与医生医嘱进行比较来评估用药差异。
在200名患者(平均年龄61.5岁;男性86名,女性114名)中,77.5%的患者存在一种或多种用药差异。最常见的差异分别是用药遗漏(35.49%)、用药变更(14.22%)和用药替代(10.97%)。合并症数量(P = 0.025)、常规家庭用药数量(P<0.001)、高风险药物(P = 0.032)、药物药理学类别(P<0.001)与用药差异之间的关系具有统计学意义。与其他药物类别相比,心血管药物的差异最高(36.2%)。多因素logistic回归显示,包括全身用抗感染药(OR = 8.43;95%CI 2.5 - 28.2;P = 0.001)、抗肿瘤和免疫调节剂(OR = 0.49;95%CI 0.27 - 0.87;P = 0.016)、血液和造血器官药物(OR = 0.33;95%CI 0.21 - 0.52;P<0.001)、肌肉骨骼系统药物(OR = 2.4;95%CI 1.13 - 5.1;P = 0.022)、神经系统药物(OR = 2.75;95%CI 1.7 - 4.4;P<0.001)、呼吸系统药物(OR = 0.38;95%CI 0.22 - 0.67;P = 0.001)在内的药物组与药物差异相关。
医院急诊科普遍存在用药差异。通过结构化用药核对流程了解差异的类型和频率有助于临床医生预防这些差异。