Kadić Damira, Avdagić Ismić Aida, Hasić Sabaheta
Department of Medical Biochemistry and Immunology Diagnostics, Cantonal Hospital Zenica, Zenica, Bosnia and Herzegovina.
Department of Medical Biochemistry, School of Medicine, University of Sarajevo, Sarajevo; Bosnia and Herzegovina.
Med Glas (Zenica). 2019 Feb 1;16(1):1-6. doi: 10.17392/979-19.
Aim To identify rates of most common pre-analytical errors and to document possible (different) error rates between inpatients and outpatients. Methods This retrospective study was conducted at the Department of Medical Biochemistry and Immunology Diagnostics, Cantonal Hospital Zenica, from December 2016 until March 2017. Data on rejected blood samples in the laboratory information system were analysed. Results During the 3-month period 35,343 patient blood samples (25,545 inpatients and 9,798 outpatients) were received in the laboratory. The study identified 602 (1.70%) rejected samples because of pre-analytical errors, mostly due to haemolysis, 292 (48.50%), and clotted samples, 240 (39.87%). The remaining 70 (11.63%) samples were rejected because of inappropriate sample volume, inappropriate container and identification errors (7.81%, 2.16% and 1.66%, respectively). The proportion of inpatient rejected samples was 8.7-fold higher than in the outpatient samples. The proportion of inpatient rejected samples because of haemolysis, clotted samples, inappropriate sample volume and inappropriate containers were higher than in the outpatient samples (20.5-, 12.1-, 2.3- and 1.3-fold higher, respectively); proportion of rejected samples because of identification errors was 8.0-fold higher in the outpatient (collection sites outside the hospital) than in the inpatient samples. Conclusion Higher pre-analytical sample error rates were connected with inpatient samples, while higher identification error rates were connected with outpatient samples. Establishment of periodic stuff training and introduction of information technology could reduce pre-analytical errors.
确定最常见的分析前误差率，并记录住院患者和门诊患者之间可能存在的（不同）误差率。方法：本回顾性研究于2016年12月至2017年3月在泽尼察州立医院医学生物化学和免疫诊断科进行。对实验室信息系统中被拒收的血样数据进行分析。结果：在3个月期间，实验室共接收了35343份患者血样（25545份住院患者血样和9798份门诊患者血样）。该研究发现，有602份（1.70%）样本因分析前误差被拒收，主要原因是溶血，共292份（48.50%），以及凝血样本，共240份（39.87%）。其余70份（11.63%）样本因样本量不当、容器不当和识别错误而被拒收（分别为7.81%、2.16%和1.66%）。住院患者被拒收样本的比例比门诊患者样本高8.7倍。因溶血、凝血样本、样本量不当和容器不当而被拒收的住院患者样本比例高于门诊患者样本（分别高20.5倍、12.1倍、2.3倍和1.3倍）；因识别错误而被拒收的样本比例在门诊患者（医院外采集地点）中比住院患者样本高8.0倍。结论：较高的分析前样本误差率与住院患者样本相关，而较高的识别误差率与门诊患者样本相关。定期开展员工培训和引入信息技术可减少分析前误差。
