Integrating moving average control procedures into the risk-based quality control plan in small-volume medical laboratories
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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.
Keywords:
patient-based real-time quality control / patient-risk sigma metrics / QC frequency / risk-based quality control plan / run sizeSource:
Biochemia Medica, 2022, 32, 2Publisher:
- Croatian Society of Medical Biochemistry and Laboratory Medicine
Funding / projects:
DOI: 10.11613/BM.2022.020711
ISSN: 1330-0962
WoS: 000820264100015
Scopus: 2-s2.0-85133594588
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133594588&doi=10.11613%2fBM.2022.020711&partnerID=40&md5=1dc5a2b6ce3833d908ea14594e9cd721https://farfar.pharmacy.bg.ac.rs/handle/123456789/4196
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PharmacyTY - JOUR AU - Lukić, Vera AU - Ignjatović, Svetlana PY - 2022 UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133594588&doi=10.11613%2fBM.2022.020711&partnerID=40&md5=1dc5a2b6ce3833d908ea14594e9cd721 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4196 AB - 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. PB - Croatian Society of Medical Biochemistry and Laboratory Medicine T2 - Biochemia Medica T1 - Integrating moving average control procedures into the risk-based quality control plan in small-volume medical laboratories VL - 32 IS - 2 DO - 10.11613/BM.2022.020711 ER -
@article{ author = "Lukić, Vera and Ignjatović, Svetlana", year = "2022", 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.", publisher = "Croatian Society of Medical Biochemistry and Laboratory Medicine", journal = "Biochemia Medica", title = "Integrating moving average control procedures into the risk-based quality control plan in small-volume medical laboratories", volume = "32", number = "2", doi = "10.11613/BM.2022.020711" }
Lukić, V.,& Ignjatović, S.. (2022). Integrating moving average control procedures into the risk-based quality control plan in small-volume medical laboratories. in Biochemia Medica Croatian Society of Medical Biochemistry and Laboratory Medicine., 32(2). https://doi.org/10.11613/BM.2022.020711
Lukić V, Ignjatović S. Integrating moving average control procedures into the risk-based quality control plan in small-volume medical laboratories. in Biochemia Medica. 2022;32(2). doi:10.11613/BM.2022.020711 .
Lukić, Vera, Ignjatović, Svetlana, "Integrating moving average control procedures into the risk-based quality control plan in small-volume medical laboratories" in Biochemia Medica, 32, no. 2 (2022), https://doi.org/10.11613/BM.2022.020711 . .