Ann Lab Med.  2023 Sep;43(5):493-502. 10.3343/alm.2023.43.5.493.

Status of Pre-analytical Quality Management of Laboratory Tests at Primary Clinics in Korea

Affiliations
  • 1Department of Laboratory Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea
  • 2Department of Laboratory Medicine, Chungnam National University Hospital, Daejeon, Korea
  • 3Department of Laboratory Medicine, Dongguk University Ilsan Hospital, Goyang, Korea
  • 4Seegene Medical Foundation, Seoul, Korea
  • 5Department of Gwangju & Honam Reference Laboratory, Seegene Medical Foundation, Gwangju, Korea
  • 6Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea

Abstract

Background
The quality of laboratory test results is crucial for accurate clinical diagnosis and treatment. Pre-analytical errors account for approximately 60%–70% of all laboratory test errors. Laboratory test results may be largely impacted by pre-analytical phase management. However, primary care clinics currently do not have pre-analytical quality management audit systems. We aimed to understand the current status of pre-analytical quality management in laboratory medicine in Korean primary care clinics.
Methods
Questionnaires were designed to focus on essential components of the pre-analytical process of primary care clinics. An online survey platform was used to administer the survey to internal medicine or family medicine physicians in primary care clinics.
Results
A total of 141 physicians provided a complete response to the questionnaire. In 65.2% of the clinics, patient information was hand-labeled rather than barcoded on the specimen bottles; 14.2% of clinics displayed only one piece of patient information (name or identification number), and 19.9% of clinics displayed two pieces of information. Centrifuges were not available in 29.1% of the clinics. Institutions carrying out the National Health Screening Program (NHSP) used more barcode system and had more centrifuges than institutions that did not carrying out the NHSP.
Conclusions
Pre-analytical quality management is inadequate in many primary clinics. We suggest implementation of a mandatory management system, allowing for a pre-analytical quality management to be carried out in primary care clinics.

Keyword

Quality management; Pre-analytical phase; Primary care; Survey; Laboratory medicine

Figure

  • Fig. 1 Differences between primary clinics that do and do not implement the National Health Screening Program (NHSP).


Reference

1. Plebani M. 2010; The detection and prevention of errors in laboratory medicine. Ann Clin Biochem. 47:101–10. DOI: 10.1258/acb.2009.009222. PMID: 19952034.
Article
2. Bonini P, Plebani M, Ceriotti F, Rubboli F. 2002; Errors in laboratory medicine. Clin Chem. 48:691–8. DOI: 10.1093/clinchem/48.5.691. PMID: 11978595.
Article
3. Carraro P, Plebani M. 2007; Errors in a stat laboratory: types and frequencies 10 years later. Clin Chem. 53:1338–42. DOI: 10.1373/clinchem.2007.088344. PMID: 17525103.
Article
4. Chang J, Kim S, Yoo SJ, Park EJ, Um TH, Cho CR. 2020; Preanalytical errors in the central laboratory of a university hospital based on the analysis of year-round data. Clin Lab. 66:200110. DOI: 10.7754/Clin.Lab.2020.200110. PMID: 32902239.
Article
5. Heireman L, Van Geel P, Musger L, Heylen E, Uyttenbroeck W, Mahieu B. 2017; Causes, consequences and management of sample hemolysis in the clinical laboratory. Clin Biochem. 50:1317–22. DOI: 10.1016/j.clinbiochem.2017.09.013. PMID: 28947321.
Article
6. Daves M, Roccaforte V, Giacomi M, Riva M, Leitner M, Platzgummer S, et al. 2017; Effect of delayed centrifugation of whole blood on serum samples stability. Riv Ital Med Lab. 13:41–4. DOI: 10.1007/s13631-017-0146-x.
Article
7. Laboratory Medicine Foundation. https://lmf.or.kr/. Updated on Dec 2022.
8. Kim H, Kim S, Yun YM, Um TH, Chang J, Lee KS, et al. 2020; Status of quality control for laboratory tests of medical institutions in Korea: analysis of 10 years of data on external quality assessment participation. Healthcare (Basel). 8:75. DOI: 10.3390/healthcare8020075. PMID: 32230819. PMCID: PMC7349217.
Article
9. Lippi G, Chance JJ, Church S, Dazzi P, Fontana R, Giavarina D, et al. 2011; Preanalytical quality improvement: from dream to reality. Clin Chem Lab Med. 49:1113–26. DOI: 10.1515/CCLM.2011.600. PMID: 21517699.
Article
10. CLSI. 2019. Accuracy in patient and specimen identification. 2nd ed. CLSI GP33. Clinical and Laboratory Standards Institute;Wayne, PA:
11. CLSI. 2010. Tubes and additives for venous and capillary blood specimen collection. CLSI GP39-A6. Clinical and Laboratory Standards Institute;Wayne, PA:
12. CLSI. 2017. Collection of diagnostic venous blood specimens. 7th ed. CLSI GP41. Clinical and Laboratory Standards Institute;Wayne, PA:
13. CLSI. 2010. Procedures for the handling and processing of blood specimens for common laboratory tests. 4th ed. CLSI GP44. Clinical and Laboratory Standards Institute;Wayne, PA:
14. CLSI. 2017. Essential elements of a phlebotomy training program. 1st ed. CLSI GP48. Clinical and Laboratory Standards Institute;Wayne, PA:
15. Chong M-S, Lee K. 2021; Survey of the referral laboratory sample managements of medical clinics in Jeju Island. J Lab Med Qual Assur. 43:94–106. DOI: 10.15263/jlmqa.2021.43.2.94.
Article
16. Wan Azman WN, Omar J, Koon TS, Tuan Ismail TS. 2019; Hemolyzed specimens: major challenge for identifying and rejecting specimens in clinical laboratories. Oman Med J. 34:94–8. DOI: 10.5001/omj.2019.19. PMID: 30918601. PMCID: PMC6425048.
Article
17. Alammari D, Banta JE, Shah H, Reibling E, Ramadan M. 2021; Meaningful use of electronic health records and ambulatory healthcare quality measures. Cureus. 13:e13036. DOI: 10.7759/cureus.13036.
Article
18. Office of the National Coordinator for Health Information Technology. Hospital progress to meaningful use. https://www.healthit.gov/data/quickstats/hospital-progress-meaningful-use. Updated on Aug 2017.
19. Lee J, Koh J, Kim JY. 2021; Popularization of medical information. Healthc Inform Res. 27:110–5. DOI: 10.4258/hir.2021.27.2.110. PMID: 34015876. PMCID: PMC8137873.
Article
20. Kim YG, Jung K, Park YT, Shin D, Cho SY, Yoon D, et al. 2017; Rate of electronic health record adoption in South Korea: a nation-wide survey. Int J Med Inform. 101:100–7. DOI: 10.1016/j.ijmedinf.2017.02.009. PMID: 28347440.
Article
21. Logical observation identifiers names and codes. About LOINC. https://loinc.org/about/. Updated on Dec 2022.
Full Text Links
  • ALM
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr