检验医学 ›› 2013, Vol. 28 ›› Issue (7): 625-628.DOI: 10.3969/j.issn.1673-8640.2013.07.016

• 实验室管理.论著 • 上一篇    下一篇

常规化学检测项目室间质量评价数据统计新方法探讨

赵海建, 张传宝, 何法霖, 马 嵘, 汪 静, 张江涛, 王治国   

  1. 卫生部北京医院 卫生部临床检验中心,北京 100730
  • 收稿日期:2013-07-29 修回日期:2013-07-29 出版日期:2013-07-25 发布日期:2013-07-29
  • 通讯作者: 王治国,联系电话:010-65273025
  • 作者简介:赵海建,女,1974年生,副主任技师,主要从事临床化学检验及质量控制工作。
  • 基金资助:

    国家高技术研究发展计划资助项目(2011AA02A102、2011AA02A116)

The study on new statistical method for the data of external quality assessment in routine chemistry items

ZHAO Haijian,ZHANG Chuanbao, HE Falin, MA Rong, WANG Jing, ZHANG Jiangtao,WANG Zhiguo   

  1. Ministry of Health Beijing Hospital, Ministry of Health National Center for Clinical Laboratory, Beijing 100730, China
  • Received:2013-07-29 Revised:2013-07-29 Online:2013-07-25 Published:2013-07-29

摘要: 目的 探讨一种新的定量检测项目室间质评数据统计方法。方法 选取2011年参加卫生部临床检验中心常规化学室间质量评价的实验室结果。采用新的统计方法进行分析,在目前室间质评的基础上增加标准差、传统的Z比分数和稳健的Z比分数评价指标,同时还增加结果与中位数的相对差值,表达为允许差值的百分数, 并将多次结果进行标准化后绘制在一张图上。结果 传统的Z比分数和稳健的Z比分数更能反应结果的一致性;使用百分比相对差(D%)代替现有的偏差(%)。另外,将多次的结果绘制在一张图上,采用标准化的方式来显示每次室间质量评价结果的可比性 。结论 新的数据统计方法更科学、合理,有利于室间质评工作及参加实验室的检验质量的持续改进。

关键词: 室间质量评价, Z比分数, 常规化学

Abstract: Objective To study a new statistical method for the data of external quality assessment in quantitative determination items. Methods The results of Ministry of Health National Center for Clinical Laboratory external quality assessment for routine chemistry items 2011 were collected. The data were analyzed by a new statistical method. The standard deviation, the traditional Z-score and robust Z-score were added, and the relative difference with the median was added and expressed as the percentage of the allowed difference. The multiple results were plotted on a standardized chart. Results The traditional and robust Z-scores can reflect the consistency of results. The percentage of relative difference D% was used to replace the existing deviation (D%) or bias (%). In addition, it is helpful to compare directly by plotting multiple results in one chart, demonstrating the comparability for each external quality assessment result in the standardization way. Conclusions It is more scientific and appropriate to use the new statistical method for the data of external quality assessment, as it is also helpful for the external quality assessment and continual quality improvement in participating laboratories.

Key words: External quality assessment, Z-score, Routine chemistry

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