OPPORTUNITIES OF IMPLEMENTING PATIENT-BASED REAL- TIME QUALITY CONTROL IN SMALL LABORATORIES

AUTOR(I) / AUTHOR(S):  Vera Lukić , Svetlana Ignjatović

Download Full Pdf   

DOI:  10.46793/XXIJUSK-ICQ.152L

SAŽETAK / ABSTRACT:

Patient-based real-time quality control (PBRTQC) is an opportunity for overcoming the weaknesses of traditional internal quality control in medical laboratories. One of the ways to apply PBRTQC is the moving average (MA). This type of control involves calculating the average value of an analyte from a series of patient results, and then further using that value for control purposes. In this way, the issue of the frequency of performing control measurements is solved, as well as the problem of commutability of control materials, which gives MA an advantage over traditional quality control. However, at the same time, MA has its limitations: the complexity of defining control procedures, the question of their ability to detect clinically significant bias, challenges for the laboratory information system, the lack of guidelines for the application of this type of quality control. The aim of this lecture is to systematize the advantages and disadvantages of PBRTQC on the example of the application of MA in a medical laboratory with a small daily volume of testing.

KLJUČNE REČI / KEYWORDS:

quality control; moving average; patient-based real-time quality control

PROJEKAT / ACKNOWLEDGEMENT:

LITERATURA / REFERENCES:

• SRP EN ISO 15189:2014 Medicinske laboratorije – Zahtevi za kvalitet i kompetentnost
• Miller GW, Sandberg S. Quality Control of the Analytical Examination Process. In: Rifai N, Horvath AR, Wittwer CT (eds.) Tietz textbook of clinical chemistry and molecular diagnostics. 6th ed. St. Louis: Elsevier Inc.; 2018. p. 121–156.
• Katayev A, Fleming JK. Past, present, and future of laboratory quality control: patient-based real-time quality control or when getting more quality at less cost is not wishful thinking. J Lab Precis Med. 2020;5:28.
• Benett ST. Continuous improvement in continuous quality control. Clin Chem. 2016;62:1299–301.
• Rosenbaum MW, Flood JG, Melanson SE, Baumann NA, Marzinke MA, Rai AJ et al. Quality control practices for chemistry and immunochemistry in a cohort of 21 large academic medical centers. Am J Clin Pathol. 2018;150:96–104.
• Badrick T, Bietenbeck A, Cervinski MA, Katayev A, van Rossum HH, Loh TP, on behalf of the International Federation of Clinical Chemistry and Laboratory Medicine Committee on Analytical Quality. Patient- based real-time quality control: review and recommendations. Clin Chem. 2019;65:962–71.
• Badrick T, Bietenbeck A, Katayev A, van Rossum HH, Loh TP, Cervinski MA, on behalf of the International Federation of Clinical Chemistry and Laboratory Medicine Committee on Analytical Quality. Implementation of patient-based real-time quality control. Crit Rev Clin Lab Sci. 2020;57:532-547.
• van Rossum HH, Kemperman H. A method for optimization and validation of moving average as continuous analytical quality control instrument demonstrated for creatinine. Clin Chim Acta. 2016;457:1
• Loh TP, Bietenbeck A, Cervinski MA, Katayev A, van Rossum HH, Badrick T. Recommendations for laboratory informatics specifications needed for the application of patient- based real time quality control. Clin Chim Acta. 2019;495:625–9.
• MA generator. Available at: www.huvaros.com. Accessed: March 2020.
• Lukić V, Ignjatović S. Moving average procedures as an additional tool for real-time analytical quality control: challenges and opportunities of implementation in small-volume medical laboratories. Biochem Med (Zagreb). 2022;32:010705.