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Reporting unit size and measurement uncertainty: current Australian practice in clinical chemistry and haematology

机译:报告单位大小和测量不确定度:澳大利亚临床化学和血液学的当前实践

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摘要

In this study we aimed to compare the reporting unit size used by Australian laboratories for routine chemistry and haematology tests to the unit size used by learned authorities and in standard laboratory textbooks and to the justified unit size based on measurement uncertainty (MU) estimates from quality assurance program data.MU was determined from Royal College of Pathologists of Australasia (RCPA) - Australasian Association of Clinical Biochemists (AACB) and RCPA Haematology Quality Assurance Program survey reports. The reporting unit size implicitly suggested in authoritative textbooks, the RCPA Manual, and the General Serum Chemistry program itself was noted. We also used published data on Australian laboratory practices.The best performing laboratories could justify their chemistry unit size for 55% of analytes while comparable figures for the 50% and 90% laboratories were 14% and 8%, respectively. Reporting unit size was justifiable for all laboratories for red cell count, >50% for haemoglobin but only the top 10% for haematocrit. Few, if any, could justify their mean cell volume (MCV) and mean cell haemoglobin concentration (MCHC) reporting unit sizes.The reporting unit size used by many laboratories is not justified by present analytical performance. Using MU estimates to determine the reporting interval for quantitative laboratory results ensures reporting practices match local analytical performance and recognises the inherent error of the measurement process.
机译:在这项研究中,我们旨在将澳大利亚实验室用于常规化学和血液学测试的报告单位大小与经验丰富的权威机构和标准实验室教科书中使用的报告单位大小进行比较,并根据基于质量的测量不确定性(MU)估计的合理单位大小进行比较MU数据来自澳大利亚皇家病理学家学院(RCPA)-澳大利亚临床生物化学家协会(AACB)和RCPA血液学质量保证计划调查报告。记录了权威教科书,《 RCPA手册》和《通用血清化学》计划本身所隐含的报告单位大小。我们还使用了澳大利亚实验室实践的公开数据,表现最好的实验室可以证明55%分析物的化学单位大小是合理的,而50%和90%实验室的可比数字分别是14%和8%。所有实验室报告的红细胞计数单位大小是合理的,血红蛋白> 50%,但红细胞压积仅前10%。如果有的话,很少有人能证明其平均细胞体积(MCV)和平均细胞血红蛋白浓度(MCHC)报告单位大小的合理性。许多实验室使用的报告单位大小目前的分析性能并不能成立。使用MU估计值确定定量实验室结果的报告间隔可确保报告实践与本地分析性能相匹配,并识别测量过程的固有误差。

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