Moving average quality control of routine chemistry and hematology parameters – a toolbox for implementation

• Published in: Clinical chemistry and laboratory medicine Vol. 60; no. 11; pp. 1719 - 1728
• Main Authors: van Andel, Esther, Henricks, Linda M., Giliams, Alex P.M., Noordervliet, Richard M., Mensink, Willemina J., Filippo, Dionne, van Rossum, Huub H., Cobbaert, Christa M., Gillis, Judith M.E.P., Schenk, Paul W., den Elzen, Wendy P.J.
• Format: Journal Article
• Language: English
• Published: Berlin De Gruyter 26.10.2022; Walter De Gruyter & Company
• Subjects: Bicarbonates; Control systems; Data base management systems; Erythrocyte sedimentation rate; Erythrocytes; Hematology; Hemoglobin; Information systems; Laboratories; Laboratory information management systems; Monitoring; moving average; Optimization; Parameter identification; patient-based real-time quality control (PBRTQC); quality assurance; Quality control; Real time; Reticulocytes; Sodium; Thyroxine
• ISSN: 1434-6621; 1437-4331
• DOI: 10.1515/cclm-2022-0655

Moving average quality control (MA QC) is a patient-based real-time quality control system. Advantages compared to conventional periodic internal quality control (IQC) include absence of commutability problems and continuous monitoring of performance. We implemented MA QC for multiple routine hematology and chemistry parameters. We describe the evaluation process and provide practical tools to aid MA QC implementation.Nine parameters (serum sodium, calcium, bicarbonate and free thyroxine, hemoglobin [Hb], mean corpuscular volume, mean corpuscular hemoglobin concentration [MCHC], reticulocyte count and erythrocyte sedimentation rate [ESR]) were chosen for initial consideration. Using data extractions from the laboratory information system (LIS; General Laboratory Information Management System), evaluation of usefulness and optimization of MA QC settings was performed using bias detection curves. After this, MA QC settings were incorporated in our LIS for further evaluation and implementation in routine care.Three out of nine parameters (Hb, ESR, and sodium) were excluded from MA QC implementation due to high variation and technical issues in the LIS. For the six remaining parameters, MA QC showed added value to IQC and was therefore implemented in the LIS. For three parameters a direct MA alarm work-up method was set up, including newly developed built-in features in the LIS. For the other parameters, we identified MA utilization beyond real-time monitoring.Implementation of MA QC has added value for our laboratory setting. Additional utilization beyond real-time QC monitoring was identified. We find MA QC especially useful for trend monitoring, detection of small shifts after maintenance and inter-analyzer comparisons.