Pereira Paulo, Seghatchian Jerard, Caldeira Beatriz, Xavier Sandra, de Sousa Gracinda
Researcher and Head of the Department of Research and Development, Portuguese Institute of Blood and Transplantation, Avenida Miguel Bombarda 6, 1000-208, Lisbon, Portugal.
International Consultancy in Blood Components Quality/Safety Improvement, Audit/Inspection and DDR Strategy, London, UK.
Transfus Apher Sci. 2018 Feb;57(1):132-142. doi: 10.1016/j.transci.2018.02.022. Epub 2018 Feb 20.
General quality control good practices require the control of the production of blood components using statistical techniques, such as mandatory by the European Commission Directives and the American Association of Blood Banks standards. Sometimes, the control procedure is exclusively in favor of the compliance verification with specifications per individual component or to compute the number of defective parts usually on a monthly basis. However, this is a critical restriction to detect unnatural patterns such as to guarantee that the production has a non-significance chance to manufacturing nonconforming components. Therefore, a crucial issue in Blood Establishments is the application of a reliable statistical process control methodology to assure products reliable and consistent to specifications. Statistical principles and control charts for variables are reviewed, discussed and recommended, based on current good practices. The empirical data demonstrate the consistency of these models on blood establishment routine. A flowchart to select the type of control chart is suggested.
一般质量控制良好规范要求使用统计技术来控制血液成分的生产,如欧盟委员会指令和美国血库协会标准所强制要求的那样。有时,控制程序仅仅有利于对每个单独成分的规格符合情况进行验证,或者通常按月计算缺陷部件的数量。然而,这对于检测不自然模式是一个关键限制,例如无法保证生产中制造不合格成分的可能性不显著。因此,血液机构中的一个关键问题是应用可靠的统计过程控制方法,以确保产品符合规格且可靠、一致。基于当前的良好规范,对变量的统计原理和控制图进行了回顾、讨论并给出了建议。实证数据证明了这些模型在血液机构日常工作中的一致性。还建议了一个用于选择控制图类型的流程图。