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Clinical Chemistry and Laboratory Medicine (CCLM)

Published in Association with the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM)

Editor-in-Chief: Plebani, Mario

Ed. by Gillery, Philippe / Greaves, Ronda / Lackner, Karl J. / Lippi, Giuseppe / Melichar, Bohuslav / Payne, Deborah A. / Schlattmann, Peter


IMPACT FACTOR 2018: 3.638

CiteScore 2018: 2.44

SCImago Journal Rank (SJR) 2018: 1.191
Source Normalized Impact per Paper (SNIP) 2018: 1.205

Online
ISSN
1437-4331
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Volume 57, Issue 9

Issues

The short story of the long-term Sigma metric: shift cannot be treated as a linear parameter

Abdurrahman Coskun
  • Corresponding author
  • Acıbadem Mehmet Ali Aydınlar University, School of Medicine, Department of Medical Biochemistry, Atasehir, Istanbul, Turkey, Phone: +90 532 744 66 83, Fax: +90 216 576 51 20
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Mustafa Serteser
  • Acıbadem Mehmet Ali Aydınlar University, School of Medicine, Department of Medical Biochemistry, Atasehir, Istanbul, Turkey
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Ibrahim Ünsal
  • Acıbadem Mehmet Ali Aydınlar University, School of Medicine, Department of Medical Biochemistry, Atasehir, Istanbul, Turkey
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2019-02-28 | DOI: https://doi.org/10.1515/cclm-2018-1139

References

  • 1.

    Ialongo C, Bernardini S. Long story short: an introduction to the short-term and long term Six Sigma quality and its importance in laboratory medicine for the management of extra-analytical processes. Clin Chem Lab Med 2018;56:1838–45.CrossrefPubMedWeb of ScienceGoogle Scholar

  • 2.

    Coskun A. Six Sigma and laboratory consultation. Clin Chem Lab Med 2007;45:121–3.PubMedWeb of ScienceGoogle Scholar

  • 3.

    Emura T, Lin YS. A comparison of normal approximation rules for attribute control charts. Qual Reliab Engng Int 2015;31:411–8.CrossrefGoogle Scholar

  • 4.

    Krishnamoorthy K. Handbook of statistical distributions with applications, 2nd ed. FL, USA: CRC Press, Taylor and Francis Group, 2016.Google Scholar

  • 5.

    Coskun A, Serteser M, Kilercik M, Aksungar F, Unsal I. A new approach to calculating the Sigma Metric in clinical laboratories. Accred Qual Assur 2015;20:147–52.CrossrefGoogle Scholar

  • 6.

    Coskun A, Oosterhuis WP, Serteser M, Unsal I. Sigma metric or defects per million opportunities (DPMO): the performance of clinical laboratories should be evaluated by the Sigma metrics at decimal level with DPMOs. Clin Chem Lab Med 2016;54:e217–9.Web of SciencePubMedGoogle Scholar

  • 7.

    Oosterhuis WP, Coskun A. Sigma metrics in laboratory medicine revisited: We are on the right road with the wrong map. Biochem Med (Zagreb) 2018;28:020503.CrossrefPubMedGoogle Scholar

  • 8.

    Makary MA, Daniel M. Medical error-the third leading cause of death in the US. Br Med J 2016;353:i2139.Web of ScienceGoogle Scholar

About the article

Received: 2018-10-21

Accepted: 2019-01-31

Published Online: 2019-02-28

Published in Print: 2019-08-27


Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

Research funding: None declared.

Employment or leadership: None declared.

Honorarium: None declared.

Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.


Citation Information: Clinical Chemistry and Laboratory Medicine (CCLM), Volume 57, Issue 9, Pages e211–e213, ISSN (Online) 1437-4331, ISSN (Print) 1434-6621, DOI: https://doi.org/10.1515/cclm-2018-1139.

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