Practical application of the patient data-based quality control method: the potassium example

Internal quality control (IQC) is a core pillar of laboratory quality control strategies. Internal quality control commercial materials lack the same characteristics as patient samples and IQC contributes to the costs of laboratory testing. Patient data-based quality control (PDB-QC) may be a valuab...

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Bibliographic Details
Published inBiochemia Medica Vol. 34; no. 1; p. 010901
Main Authors Zhang, Yan, Wang, Hua-Li, Xie, Ye-Hong, He, Da-Hai, Zhou, Chao-Qiong, Kong, Li-Rui
Format Journal Article Web Resource
LanguageEnglish
Published Croatia Medicinska naklada 15.02.2024
Croatian Society of Medical Biochemistry and Laboratory Medicine
Subjects
daily average value
patient-generated data
potassium
quality control
Short Communications
potassium
daily average value
patient-generated data
quality control
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Summary:Internal quality control (IQC) is a core pillar of laboratory quality control strategies. Internal quality control commercial materials lack the same characteristics as patient samples and IQC contributes to the costs of laboratory testing. Patient data-based quality control (PDB-QC) may be a valuable supplement to IQC; the smaller the biological variation, the stronger the ability to detect errors. Using the potassium concentration in serum as an example study compared error detection effectiveness between PDB-QC and IQC. Serum potassium concentrations were measured by using an indirect ion-selective electrode method. For the training database, 23,772 patient-generated data and 366 IQC data from April 2022 to September 2022 were used; 15,351 patient-generated data and 246 IQC data from October 2022 to January 2023 were used as the testing database. For both PDB-QC and IQC, average values and standard deviations were calculated, and z-score charts were plotted for comparison purposes. Five systematic and three random errors were detected using IQC. Nine systematic errors but no random errors were detected in PDB-QC. The PDB-QC showed systematic error warnings earlier than the IQC. The daily average value of patient-generated data was superior to IQC in terms of the efficiency and timeliness of detecting systematic errors but inferior to IQC in detecting random errors.
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Y Zhang and H-L Wang contributed equally to this study. Y Zhang and L-R Kong designed this study. All authors contributed to the acquisition, analysis, and interpretation of data. Y Zhang and H-L Wang drafted the manuscript. All other authors critically revised the manuscript. All authors provided final approval for the version to be published and agreed to be accountable for all aspects of the work, ensuring its integrity and accuracy.
The first two authors contributed equally to this work.
Author contributions
ISSN:1330-0962
1846-7482
DOI:10.11613/BM.2024.010901