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Integrating moving average control procedures into the risk-based quality control plan in small-volume medical laboratories
dc.creator | Lukić, Vera | |
dc.creator | Ignjatović, Svetlana | |
dc.date.accessioned | 2022-07-19T11:12:15Z | |
dc.date.available | 2022-07-19T11:12:15Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 1330-0962 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133594588&doi=10.11613%2fBM.2022.020711&partnerID=40&md5=1dc5a2b6ce3833d908ea14594e9cd721 | |
dc.identifier.uri | https://farfar.pharmacy.bg.ac.rs/handle/123456789/4196 | |
dc.description.abstract | Introduction: The modern approach to quality control (QC) in medical laboratories implies the development of a risk-based control plan. This paper aims to develop a risk-based QC plan for a laboratory with a small daily testing volume and to integrate the already optimized moving average (MA) control procedures into this plan. Materials and methods: A multistage bracketed QC plan for ten clinical chemistry analytes was made using a Westgard QC frequency calculator. Previously, MA procedures were optimized by the bias detection simulation method. Results: Aspartate aminotransferase, HDL-cholesterol and potassium had patient-risk sigma metrics greater than 6, albumin and cholesterol greater than 5, creatinine, chlorides, calcium and total proteins between 4 and 5, and sodium less than 4. Based on the calculated run sizes and characte- ristics of optimized MA procedures, for 6 tests, it was possible to replace the monitoring QC procedure with an MA procedure. For the remaining 4 tests, it was necessary to keep the monitoring QC procedure and introduce MA control for added security. Conclusion: This study showed that even in a laboratory with a small volume of daily testing, it is possible to make a risk-based QC plan and inte- grate MA control procedures into that plan. | |
dc.publisher | Croatian Society of Medical Biochemistry and Laboratory Medicine | |
dc.relation | info:eu-repo/grantAgreement/MESTD/inst-2020/200161/RS// | |
dc.rights | openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Biochemia Medica | |
dc.subject | patient-based real-time quality control | |
dc.subject | patient-risk sigma metrics | |
dc.subject | QC frequency | |
dc.subject | risk-based quality control plan | |
dc.subject | run size | |
dc.title | Integrating moving average control procedures into the risk-based quality control plan in small-volume medical laboratories | |
dc.type | article | |
dc.rights.license | BY | |
dc.citation.volume | 32 | |
dc.citation.issue | 2 | |
dc.citation.rank | M22 | |
dc.identifier.wos | 000820264100015 | |
dc.identifier.doi | 10.11613/BM.2022.020711 | |
dc.identifier.scopus | 2-s2.0-85133594588 | |
dc.identifier.fulltext | http://farfar.pharmacy.bg.ac.rs/bitstream/id/9946/Integrating_moving_average_pub_2022.pdf | |
dc.type.version | publishedVersion |