Literature DB >> 30903753

Design and implementation of quality control plans that integrate moving average and internal quality control: incorporating the best of both worlds.

Huub H van Rossum1,2, Daan van den Broek1.   

Abstract

Background New moving average quality control (MA QC) optimization methods have been developed and are available for laboratories. Having these methods will require a strategy to integrate MA QC and routine internal QC. Methods MA QC was considered only when the performance of the internal QC was limited. A flowchart was applied to determine, per test, whether MA QC should be considered. Next, MA QC was examined using the MA Generator (www.huvaros.com), and optimized MA QC procedures and corresponding MA validation charts were obtained. When a relevant systematic error was detectable within an average daily run, the MA QC was added to the QC plan. For further implementation of MA QC for continuous QC, MA QC management software was configured based on earlier proposed requirements. Also, protocols for the MA QC alarm work-up were designed to allow the detection of temporary assay failure based on previously described experiences. Results Based on the flowchart, 10 chemistry, two immunochemistry and six hematological tests were considered for MA QC. After obtaining optimal MA QC settings and the corresponding MA validation charts, the MA QC of albumin, bicarbonate, calcium, chloride, creatinine, glucose, magnesium, potassium, sodium, total protein, hematocrit, hemoglobin, MCH, MCHC, MCV and platelets were added to the QC plans. Conclusions The presented method allows the design and implementation of QC plans integrating MA QC for continuous QC when internal QC has limited performance.

Entities:  

Keywords:  analytical quality control; average of normal (AoN); moving average (MA); quality assurance; quality control

Mesh:

Year:  2019        PMID: 30903753     DOI: 10.1515/cclm-2019-0027

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  7 in total

1.  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

2.  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

3.  Moving Rate of Positive Patient Results as a Quality Control Tool for High-Sensitivity Cardiac Troponin T Assays.

Authors:  Tingting Li; Shunwang Cao; Yi Wang; Yujuan Xiong; Yuting He; Peifeng Ke; Xianzhang Huang
Journal:  Ann Lab Med       Date:  2020-08-25       Impact factor: 3.464

4.  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

Review 5.  Biological variation: Understanding why it is so important?

Authors:  Tony Badrick
Journal:  Pract Lab Med       Date:  2021-01-04

6.  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.  Comparison and optimization of various moving patient-based real-time quality control procedures for serum sodium.

Authors:  Yuanyuan Li; Qian Yu; Xiaoyan Zhang; Xiaoling Chen
Journal:  J Clin Lab Anal       Date:  2021-09-14       Impact factor: 2.352

  7 in total

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