Literature DB >> 30550876

A primer on patient-based quality control techniques.

Tony Badrick1, Mark Cervinski2, Tze Ping Loh3.   

Abstract

BACKGROUND: Patient-based Quality Control techniques have been described for more than fifty years and have been widely used routinely in hematology for forty. However, because of practical issues they have not been widely utilised in clinical chemistry laboratories. But recently because of the availability of middleware and a greater appreciation of the benefits of these processes there has been a willingness to investigate their use as a QC tool. CONTENT: This Review describes the development of various patient-based quality control techniques from the earliest Average of Normals approach including the Moving Average, Moving Median and Moving Sum of Outliers. Variations such as weighting, transformation and annealing are discussed. Integrating patient-based QC and conventional QC is discussed as the problem of sub-populations.
SUMMARY: Patient-based QC methods will become more widespread as their benefits are more fully understood and middleware becomes available that allows laboratories to implement these techniques with their patient populations.
Copyright © 2018 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Average of normals; Patient-based quality control; Quality control

Mesh:

Year:  2018        PMID: 30550876     DOI: 10.1016/j.clinbiochem.2018.12.004

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  7 in total

1.  Measurement Uncertainty Impacts Diagnosis of Diabetes Mellitus: Reliable Minimal Difference of Plasma Glucose Results.

Authors:  Sandra Keutmann; Stephanie Zylla; Mathilde Dahl; Nele Friedrich; Rüdiger Landgraf; Lutz Heinemann; Anders Kallner; Matthias Nauck; Astrid Petersmann
Journal:  Diabetes Ther       Date:  2019-12-16       Impact factor: 2.945

2.  An Objective Approach to Deriving the Clinical Performance of Autoverification Limits.

Authors:  Tze Ping Loh; Rui Zhen Tan; Chun Yee Lim; Corey Markus
Journal:  Ann Lab Med       Date:  2022-09-01       Impact factor: 4.941

3.  Integrating moving average control procedures into the risk-based quality control plan in small-volume medical laboratories.

Authors:  Vera Lukić; Svetlana Ignjatović
Journal:  Biochem Med (Zagreb)       Date:  2022-06-15       Impact factor: 2.515

4.  Patient-based quality control for glucometers: using the moving sum of positive patient results and moving average.

Authors:  Chun Yee Lim; Tony Badrick; Tze Ping Loh
Journal:  Biochem Med (Zagreb)       Date:  2020-06-15       Impact factor: 2.313

5.  Optimization and validation of patient-based real-time quality control procedure using moving average and average of normals with multi-rules for TT3, TT4, FT3, FT3, and TSH on three analyzers.

Authors:  Chao Song; Jun Zhou; Jun Xia; Deli Ye; Qian Chen; Weixing Li
Journal:  J Clin Lab Anal       Date:  2020-05-03       Impact factor: 2.352

6.  A study of the moving rate of positive results for use in a patient-based real-time quality control program on a procalcitonin point-of-care testing analyzer.

Authors:  Yili He; Daqing Gu; Xiangzhi Kong; Zhiqiang Feng; Weishang Lin; Yunfeng Cai
Journal:  J Clin Lab Anal       Date:  2022-03-07       Impact factor: 2.352

7.  Moving average procedures as an additional tool for real-time analytical quality control: challenges and opportunities of implementation in small-volume medical laboratories.

Authors:  Vera Lukić; Svetlana Ignjatović
Journal:  Biochem Med (Zagreb)       Date:  2021-12-15       Impact factor: 2.313

  7 in total

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