Tully Mary P, Buchan Iain E
School of Pharmacy and Pharmaceutical Sciences, University of Manchester, Manchester, UK.
Pharm World Sci. 2009 Dec;31(6):682-8. doi: 10.1007/s11096-009-9332-x. Epub 2009 Sep 24.
To investigate the prevalence of prescribing errors identified by pharmacists in hospital inpatients and the factors influencing error identification rates by pharmacists throughout hospital admission.
880-bed university teaching hospital in North-west England.
Data about prescribing errors identified by pharmacists (median: 9 (range 4-17) collecting data per day) when conducting routine work were prospectively recorded on 38 randomly selected days over 18 months.
Proportion of new medication orders in which an error was identified; predictors of error identification rate, adjusted for workload and seniority of pharmacist, day of week, type of ward or stage of patient admission.
33,012 new medication orders were reviewed for 5,199 patients; 3,455 errors (in 10.5% of orders) were identified for 2,040 patients (39.2%; median 1, range 1-12). Most were problem orders (1,456, 42.1%) or potentially significant errors (1,748, 50.6%); 197 (5.7%) were potentially serious; 1.6% (n = 54) were potentially severe or fatal. Errors were 41% (CI: 28-56%) more likely to be identified at patient's admission than at other times, independent of confounders. Workload was the strongest predictor of error identification rates, with 40% (33-46%) less errors identified on the busiest days than at other times. Errors identified fell by 1.9% (1.5-2.3%) for every additional chart checked, independent of confounders.
Pharmacists routinely identify errors but increasing workload may reduce identification rates. Where resources are limited, they may be better spent on identifying and addressing errors immediately after admission to hospital.
调查药剂师在医院住院患者中发现的处方错误发生率,以及影响药剂师在整个住院期间错误识别率的因素。
位于英格兰西北部的一家拥有880张床位的大学教学医院。
在18个月内随机选取38天,前瞻性记录药剂师在日常工作中发现的处方错误数据(中位数:每天收集9份(范围4 - 17份)数据)。
发现错误的新用药医嘱比例;错误识别率的预测因素,校正了药剂师的工作量和资历、星期几、病房类型或患者入院阶段。
对5199名患者的33012份新用药医嘱进行了审查;为2040名患者(39.2%;中位数1,范围1 - 12)识别出3455处错误(占医嘱的10.5%)。大多数是问题医嘱(1456处,42.1%)或潜在重大错误(1748处,50.6%);197处(5.7%)为潜在严重错误;1.6%(n = 54)为潜在严重或致命错误。与其他时间相比,在患者入院时发现错误的可能性高出41%(置信区间:28 - 56%),与混杂因素无关。工作量是错误识别率的最强预测因素,最繁忙日子发现的错误比其他时间少40%(33 - 46%)。在不考虑混杂因素的情况下,每多检查一份病历,发现的错误减少1.9%(1.5 - 2.3%)。
药剂师常规性地识别错误,但工作量增加可能会降低识别率。在资源有限的情况下,可能最好将资源用于在患者入院后立即识别和处理错误。