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出 处:《抗感染药学》2016年第5期999-1002,共4页Anti-infection Pharmacy
摘 要:目的:分析医院门诊药房处方调剂差错的原因,为探讨减少差错的对策,保障患者的用药安全提供参考。方法:选取医院2014年1月—2015年12月间门诊药房调剂的处方,分析与比较2014年和2015年的处方调剂差错的发生率。结果:2014年医院门诊药房调剂处方差错的发生率为0.014‰,其中外观相似占40.00%,药名相似占16.00%,发错患者占16.00%,品种差错占12.00%,数量差错占8.00%,标签差错占4.00%,品规差错占4.00%;2015年医院门诊药房调剂处方差错的发生率为0.010‰,其中数量差错占26.32%,品种差错占21.05%,药名相似占15.79%,品规差错占15.79%,发错患者占10.53%,外观相似占5.26%,标签差错占5.26%;2015年与2014年门诊药房的调剂处方差错原因比例相比较,外观相似大幅下降,发错患者和药名相似等外部因素均有降低,数量差错、标签差错、品种差错和品规差错等均有升高。结论:医院门诊药房的调剂处方差错是人为因素和环境因素所致,故应采取措施从人员、环境、流程、设备软件和制度上加以改进,从而降低门诊药房调剂处方的差错发生率。Objective: To analyze the cause of outpatient prescription dispensing errors in a hospital, so as to pro- vide the reference to explore countermeasures to reduce error and to protect patient's medication safety. Methods: Outpa- tient pharmacy dispensing prescriptions from January 2014 to December 2015 were selected.Wrong dispensing rate of 2014 and 2015 was analysed and compared. Results: Outpatient prescription wrong dispensing rate of 2014 was 0.014‰ (appearance similar rate was 40.00%; medicine/s name similar rate was 16.00%; patients mistake rate was 16.00%; variet- ies error rate was 12.00%; number error rate was 8.00%; label error rate was 4.00%, and product gauge error rate was 4.00%).Outpatient prescription wrong dispensing rate of 2015 was 0.010‰(number error rate was 26.32%, varieties error rate was 21.05%, medicines name similar rate was 15.79%, product gauge error rate was 15.79%, patients mistake rate was 10.53%, appearance similar rate was 5.26%, and label error rate was 5.26%). The outpatient prescription dispensing errors cause of 2015 was in comparison with 2014, exploring that appearance similar rate was lowered dramatically; ex- ternal factors rate such as patients mistake and medicines name similar rate were reduced.While number error rate, label error rate, varieties error rate and product gauge error rate were increased. Conclusion: The cause of outpatient prescrip- tion dispensing errors were anthropogenic and environment factors,and improvement measures based on people,environ- ment, process, equipment software and institution should be taken to reduce errors incidence.
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