Literature DB >> 32533149

Ten-Month Evaluation of the Routine Application of Patient Moving Average for Real-Time Quality Control in a Hospital Setting.

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

Abstract

BACKGROUND: In recent years there has been renewed interest in patient-based real-time quality control (PBRTQC) techniques. This interest has been stimulated by the availability of new optimization and validation methods. Only a limited amount of research has focused on investigating the true operational value of PBRTQC. Therefore, we have evaluated the performance and value of recently implemented patient moving average quality control (MA QC) procedures.
METHODS: The MA QC settings and protocols were as previously described (Clin Chem Lab Med 2019;57:1329-38) and included MA QCs for 10 chemistry and 6 hematological tests, all performed on duplicate analyzer systems. All MA QC alarms that occurred during the first 10 months of routine clinical application were investigated for assay-specific alarm rate and occurrence in time. Furthermore, the causes of these MA QC alarms were investigated, and alarm relevance was determined on the basis of total allowable bias (TBa) and error (TEa) derived from biological variations.
RESULTS: During the 10-month period, 202 individual MA QC alarms occurred, resulting in an overall MA QC alarm rate of 0.030% and a frequency of 4.67 per week. Most alarms were triggered by sodium MA QC. Based on all available fully executed and documented MA QC alarm work-ups, MA QC detected errors that in 26.0% of the alarms exceeded the TBa and in 13.7% the TEa. In 9.2% of the alarms, MA QC alarming triggered instant (technical) corrections.
CONCLUSIONS: Routine clinical application of MA QC is feasible with maintaining a manageable number of alarms and enabling detection of relevant analytical errors. © American Association for Clinical Chemistry 2020. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  AoN; Moving average; PBRTQC; analytical quality control; average of normals; quality assurance; quality control

Year:  2020        PMID: 32533149     DOI: 10.1093/jalm/jfaa071

Source DB:  PubMed          Journal:  J Appl Lab Med        ISSN: 2475-7241


  3 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.  Intelligent Quality Management 2 with IntraSpect™ technology for quality control of GEM® Premier™ 5000 blood gas analyzers- A novel application of the patient sample as its own control.

Authors:  James O Westgard; Jose Cervera
Journal:  Pract Lab Med       Date:  2022-04-08

3.  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

  3 in total

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