Impact of academia–government collaboration on laboratory medicine standardization in South Korea: analysis of eight years creatinine proficiency testing experience
Author:
Lee Seunghoo1ORCID, Yu Joonsang1ORCID, Cho Chan-Ik2ORCID, Cho Eun-Jung3ORCID, Jeong Tae-Dong4ORCID, Kim Sollip1ORCID, Lee Woochang1ORCID, Chun Sail1ORCID, Min Won-Ki1ORCID
Affiliation:
1. Department of Laboratory Medicine , University of Ulsan, College of Medicine and Asan Medical Center , Seoul , South Korea 2. Division of Chronic Disease Prevention , Korea Disease Control and Prevention Agency , Cheongju-si , Chungcheongbuk-do , South Korea 3. Department of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital , Hallym University College of Medicine , Hwaseong , South Korea 4. Department of Laboratory Medicine , Ewha Womans University College of Medicine , Seoul , South Korea
Abstract
Abstract
Objectives
To evaluate the performance of the Academia–Government Collaboration for Laboratory Medicine Standardization in Korea (KR-STDZN) based on data from KR-STDZN proficiency testing (KR-STDZN-PT) for creatinine over eight years (2015–2022).
Methods
We used KR-STDZN-PT data of creatinine tests from 2015 to 2022. Acceptance of the participating institutions’ test results was assessed by calculating the acceptance performance as absolute bias (absBias%), total coefficient of variance (tCV%), and total error (TE%) for each sample using six measurements from each institution and true values of each reference material. The test result was considered acceptable when absBias%, tCV%, and TE% were <5.10, <3.20, and <11.40 %, respectively. The proportion of acceptable institutions among all participating institutions in each round was defined as the acceptance rate. Improvements in absBias%, tCV%, and TE% were analyzed using creatinine concentration ranges in samples.
Results
The number of participating institutions increased from 2015 to 2017 but remained consistent since 2018. The acceptance rates for absBias% and TE% increased from 52.2 and 77.6 %, in 2015 and to 90.7 and 96.3 %, in 2022, respectively. The acceptance rate for tCV% remained in the 90 % range for eight years. When creatinine <3 mg/dL, mean absBias%, and mean TE% improved significantly in 2021–2022 compared to 2015–2016 (p<0.05). When creatinine >3 mg/dL, acceptance performance did not improve. Mean tCV% remained consistent annually regardless of creatinine concentration. No significant variations in test methods were observed.
Conclusions
The collaboration between academia and the government improved creatinine testing quality. Nevertheless, KR-STDZN must be expanded and refined.
Funder
The Korea Disease Control and Prevention Agency
Publisher
Walter de Gruyter GmbH
Subject
Biochemistry (medical),Clinical Biochemistry,General Medicine
Reference31 articles.
1. Greg Miller, W, Myers, GL, Lou Gantzer, M, Kahn, SE, Schönbrunner, ER, Thienpont, LM, et al.. Roadmap for harmonization of clinical laboratory measurement procedures. Clin Chem 2011;57:1108–17. https://doi.org/10.1373/clinchem.2011.164012. 2. Yun, Y-M, Song, J, Ji, M, Kim, J-H, Kim, Y, Park, T, et al.. Calibration of high-density lipoprotein cholesterol values from the Korea national health and nutrition examination survey data, 2008–2015. Ann Lab Med 2017;37:1–8. https://doi.org/10.3343/alm.2017.37.1.1. 3. Zegers, I, Schimmel, H. To harmonize and standardize: making measurement results comparable. Clin Chem 2014;60:911–3. https://doi.org/10.1373/clinchem.2014.224477. 4. Cho, E-J, Jeong, T-D, Kim, S, Park, H-D, Yun, Y-M, Chun, S, et al.. A new strategy for evaluating the quality of laboratory results for big data research: using external quality assessment survey data (2010–2020). Ann Lab Med 2023;43:425–33. https://doi.org/10.3343/alm.2023.43.5.425. 5. Kim, S. Laboratory data quality evaluation in the big data era. Ann Lab Med 2023;43:399–400. https://doi.org/10.3343/alm.2023.43.5.399.
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