Impact of Academia-Government Collaboration on Laboratory Medicine Standardization in South Korea: analysis of eight years creatinine proficiency testing experience
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). We used KR-STDZN-PT data of creatinine tests from 2015 to 2022....
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Veröffentlicht in: | Clinical chemistry and laboratory medicine 2024-04, Vol.62 (5), p.861-869 |
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creator | Lee, Seunghoo Yu, Joonsang Cho, Chan-Ik Cho, Eun-Jung Jeong, Tae-Dong Kim, Sollip Lee, Woochang Chun, Sail Min, Won-Ki |
description | 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).
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 |
doi_str_mv | 10.1515/cclm-2023-1160 |
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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.
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.
The collaboration between academia and the government improved creatinine testing quality. Nevertheless, KR-STDZN must be expanded and refined.</description><identifier>ISSN: 1434-6621</identifier><identifier>EISSN: 1437-4331</identifier><identifier>DOI: 10.1515/cclm-2023-1160</identifier><identifier>PMID: 37999449</identifier><language>eng</language><publisher>Germany: De Gruyter</publisher><subject>Academia ; Acceptance ; Accuracy ; Analytical chemistry ; bias ; chronic kidney disease ; Collaboration ; Cooperation ; Creatinine ; Government ; Humans ; Institutions ; Laboratory Proficiency Testing ; Mathematical analysis ; Performance evaluation ; proficiency testing ; Quality control ; Reference Standards ; Standardization</subject><ispartof>Clinical chemistry and laboratory medicine, 2024-04, Vol.62 (5), p.861-869</ispartof><rights>2023 Walter de Gruyter GmbH, Berlin/Boston.</rights><rights>2023 Walter de Gruyter GmbH, Berlin/Boston</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c331t-bfc9b349dbee3bc54837c52462b4505e946434bd25615cfae425a82cfeb9cb8c3</cites><orcidid>0000-0003-3956-6397 ; 0000-0002-5792-973X ; 0000-0003-1907-9639 ; 0000-0002-3271-9306 ; 0000-0003-0474-5897 ; 0000-0002-3873-3117 ; 0000-0002-5378-6794 ; 0000-0001-5344-763X ; 0000-0002-5158-2130</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.degruyter.com/document/doi/10.1515/cclm-2023-1160/pdf$$EPDF$$P50$$Gwalterdegruyter$$H</linktopdf><linktohtml>$$Uhttps://www.degruyter.com/document/doi/10.1515/cclm-2023-1160/html$$EHTML$$P50$$Gwalterdegruyter$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,66524,68308</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37999449$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Seunghoo</creatorcontrib><creatorcontrib>Yu, Joonsang</creatorcontrib><creatorcontrib>Cho, Chan-Ik</creatorcontrib><creatorcontrib>Cho, Eun-Jung</creatorcontrib><creatorcontrib>Jeong, Tae-Dong</creatorcontrib><creatorcontrib>Kim, Sollip</creatorcontrib><creatorcontrib>Lee, Woochang</creatorcontrib><creatorcontrib>Chun, Sail</creatorcontrib><creatorcontrib>Min, Won-Ki</creatorcontrib><title>Impact of Academia-Government Collaboration on Laboratory Medicine Standardization in South Korea: analysis of eight years creatinine proficiency testing experience</title><title>Clinical chemistry and laboratory medicine</title><addtitle>Clin Chem Lab Med</addtitle><description>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).
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.
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.
The collaboration between academia and the government improved creatinine testing quality. Nevertheless, KR-STDZN must be expanded and refined.</description><subject>Academia</subject><subject>Acceptance</subject><subject>Accuracy</subject><subject>Analytical chemistry</subject><subject>bias</subject><subject>chronic kidney disease</subject><subject>Collaboration</subject><subject>Cooperation</subject><subject>Creatinine</subject><subject>Government</subject><subject>Humans</subject><subject>Institutions</subject><subject>Laboratory Proficiency Testing</subject><subject>Mathematical analysis</subject><subject>Performance evaluation</subject><subject>proficiency testing</subject><subject>Quality control</subject><subject>Reference Standards</subject><subject>Standardization</subject><issn>1434-6621</issn><issn>1437-4331</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptkU1v1DAQhiMEoqVw5YgsceGS4s9sjLhUK1oqFnEonC3bmWxdJfZiO4X09_BDcUgBCSFZ8nj8-J3xvFX1nOBTIoh4be0w1hRTVhPS4AfVMeFsU3PGyMNfMa-bhpKj6klKNxgTIfjmcXXENlJKzuVx9eNyPGibUejRmdUdjE7XF-EWoh_BZ7QNw6BNiDq74FFZu_UU4ow-Ques84Cusvadjp27WzHn0VWY8jX6ECLoN0h7PczJpaUIuP11RjPomJAtt9n5ReIQQ1_EwNsZZUglu0fw_QBxScHT6lGvhwTP7veT6sv5u8_b9_Xu08Xl9mxX2_LfXJveSsO47AwAM1bwlm2soLyhhgssQPKmDMR0VDRE2F4Dp0K31PZgpDWtZSfVq1W3tPN1Km2o0SULZQQewpQUbSVrORa8KejLf9CbMMXy0aQYZoRjjgkp1OlK2RhSitCrQ3SjjrMiWC3-qcU_tfinFv_Kgxf3spMZofuD_zasAG9X4JseMsQO9nGaS_C3_P-VGyrahrCfZyyuDA</recordid><startdate>20240425</startdate><enddate>20240425</enddate><creator>Lee, Seunghoo</creator><creator>Yu, Joonsang</creator><creator>Cho, Chan-Ik</creator><creator>Cho, Eun-Jung</creator><creator>Jeong, Tae-Dong</creator><creator>Kim, Sollip</creator><creator>Lee, Woochang</creator><creator>Chun, Sail</creator><creator>Min, Won-Ki</creator><general>De Gruyter</general><general>Walter De Gruyter & Company</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3956-6397</orcidid><orcidid>https://orcid.org/0000-0002-5792-973X</orcidid><orcidid>https://orcid.org/0000-0003-1907-9639</orcidid><orcidid>https://orcid.org/0000-0002-3271-9306</orcidid><orcidid>https://orcid.org/0000-0003-0474-5897</orcidid><orcidid>https://orcid.org/0000-0002-3873-3117</orcidid><orcidid>https://orcid.org/0000-0002-5378-6794</orcidid><orcidid>https://orcid.org/0000-0001-5344-763X</orcidid><orcidid>https://orcid.org/0000-0002-5158-2130</orcidid></search><sort><creationdate>20240425</creationdate><title>Impact of Academia-Government Collaboration on Laboratory Medicine Standardization in South Korea: analysis of eight years creatinine proficiency testing experience</title><author>Lee, Seunghoo ; Yu, Joonsang ; Cho, Chan-Ik ; Cho, Eun-Jung ; Jeong, Tae-Dong ; Kim, Sollip ; Lee, Woochang ; Chun, Sail ; Min, Won-Ki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c331t-bfc9b349dbee3bc54837c52462b4505e946434bd25615cfae425a82cfeb9cb8c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Academia</topic><topic>Acceptance</topic><topic>Accuracy</topic><topic>Analytical chemistry</topic><topic>bias</topic><topic>chronic kidney disease</topic><topic>Collaboration</topic><topic>Cooperation</topic><topic>Creatinine</topic><topic>Government</topic><topic>Humans</topic><topic>Institutions</topic><topic>Laboratory Proficiency Testing</topic><topic>Mathematical analysis</topic><topic>Performance evaluation</topic><topic>proficiency testing</topic><topic>Quality control</topic><topic>Reference Standards</topic><topic>Standardization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Seunghoo</creatorcontrib><creatorcontrib>Yu, Joonsang</creatorcontrib><creatorcontrib>Cho, Chan-Ik</creatorcontrib><creatorcontrib>Cho, Eun-Jung</creatorcontrib><creatorcontrib>Jeong, Tae-Dong</creatorcontrib><creatorcontrib>Kim, Sollip</creatorcontrib><creatorcontrib>Lee, Woochang</creatorcontrib><creatorcontrib>Chun, Sail</creatorcontrib><creatorcontrib>Min, Won-Ki</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical chemistry and laboratory medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Seunghoo</au><au>Yu, Joonsang</au><au>Cho, Chan-Ik</au><au>Cho, Eun-Jung</au><au>Jeong, Tae-Dong</au><au>Kim, Sollip</au><au>Lee, Woochang</au><au>Chun, Sail</au><au>Min, Won-Ki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of Academia-Government Collaboration on Laboratory Medicine Standardization in South Korea: analysis of eight years creatinine proficiency testing experience</atitle><jtitle>Clinical chemistry and laboratory medicine</jtitle><addtitle>Clin Chem Lab Med</addtitle><date>2024-04-25</date><risdate>2024</risdate><volume>62</volume><issue>5</issue><spage>861</spage><epage>869</epage><pages>861-869</pages><issn>1434-6621</issn><eissn>1437-4331</eissn><abstract>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).
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.
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.
The collaboration between academia and the government improved creatinine testing quality. Nevertheless, KR-STDZN must be expanded and refined.</abstract><cop>Germany</cop><pub>De Gruyter</pub><pmid>37999449</pmid><doi>10.1515/cclm-2023-1160</doi><tpages>09</tpages><orcidid>https://orcid.org/0000-0003-3956-6397</orcidid><orcidid>https://orcid.org/0000-0002-5792-973X</orcidid><orcidid>https://orcid.org/0000-0003-1907-9639</orcidid><orcidid>https://orcid.org/0000-0002-3271-9306</orcidid><orcidid>https://orcid.org/0000-0003-0474-5897</orcidid><orcidid>https://orcid.org/0000-0002-3873-3117</orcidid><orcidid>https://orcid.org/0000-0002-5378-6794</orcidid><orcidid>https://orcid.org/0000-0001-5344-763X</orcidid><orcidid>https://orcid.org/0000-0002-5158-2130</orcidid></addata></record> |
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subjects | Academia Acceptance Accuracy Analytical chemistry bias chronic kidney disease Collaboration Cooperation Creatinine Government Humans Institutions Laboratory Proficiency Testing Mathematical analysis Performance evaluation proficiency testing Quality control Reference Standards Standardization |
title | Impact of Academia-Government Collaboration on Laboratory Medicine Standardization in South Korea: analysis of eight years creatinine proficiency testing experience |
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