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Journal articles on the topic 'Laboratories - Quality control'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Freeman, Kathleen P., and Julie Gruenwaldt. "Quality Control Validation in Veterinary Laboratories." Veterinary Clinical Pathology 28, no. 4 (1999): 150–55. http://dx.doi.org/10.1111/j.1939-165x.1999.tb01068.x.

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2

Castilla, Jose Antonio, Rafael Ruiz de Assín, Maria Carmen Gonzalvo, et al. "External quality control for embryology laboratories." Reproductive BioMedicine Online 20, no. 1 (2010): 68–74. http://dx.doi.org/10.1016/j.rbmo.2009.09.033.

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3

Rehnuma, Behterin, Mohammad Ibrahim, and Tareak Al Nasir. "Quality Assurance and Quality Control in Clinical Laboratories." Pulse 8, no. 1 (2016): 62–65. http://dx.doi.org/10.3329/pulse.v8i1.28103.

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Health care delivery is no longer a simple process of examining the patient and giving him a prescription. Over the years there has been rapid expansion in the various branches of health care services. As part of this expansion process and explosion of scientific medical knowledge, laboratory diagnosis has gained tremendous importance in todays practice. Especially in our country since the beginning of 80s we have been witnessing significant growth in laboratory services. Through quality management process the laboratory can ensure that the result being issued by the laboratory is reliable t

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4

Winter, John A., William L. Budde, and Frank Novielli. "Quality Assurance and Quality Control for Drinking Water Laboratories." Journal - American Water Works Association 85, no. 9 (1993): 56–62. http://dx.doi.org/10.1002/j.1551-8833.1993.tb06061.x.

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5

Yorukoglu, Kutsal, Alp Usubutun, Oner Dogan, Binnur Onal, and Ozlem Aydin. "Quality control of pathology laboratories in turkey." Turkish Journal of Pathology 25, no. 1 (2009): 29. http://dx.doi.org/10.5146/tjpath.2009.00958.

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6

Broughton, P. "Quality Assurance and Control in Clinical Laboratories." Journal of Clinical Pathology 38, no. 6 (1985): 717. http://dx.doi.org/10.1136/jcp.38.6.717-c.

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7

COLEMAN, D. V. "Internal quality control for cervical cytopathology laboratories." Cytopathology 7, no. 1 (1995): 1–3. http://dx.doi.org/10.1046/j.1365-2303.1995.40882408.x.

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8

Smagunova, A. N., S. D. Pan’kov, and V. A. Kozlov. "Management of quality control in analytical laboratories." Journal of Analytical Chemistry 61, no. 4 (2006): 312–19. http://dx.doi.org/10.1134/s1061934806040022.

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9

Gomez, Pablo, Autumn R. Anderson, and Ana Baciero. "Lessons for psychology laboratories from industrial laboratories." Research Ethics 13, no. 3-4 (2017): 155–60. http://dx.doi.org/10.1177/1747016117693827.

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In the past decade there has been a lot of attention to the quality of the evidence in experimental psychology and in other social and medical sciences. Some have described the current climate as a ‘crisis of confidence’. We focus on a specific question: how can we increase the quality of the data in psychology and cognitive neuroscience laboratories. Again, the challenges of the field are related to many different issues, but we believe that increasing the quality of the data collection process and the quality of the data per se will be a significant step in the right direction. We suggest th

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10

SUGIMOTO, Toshiaki. "Daily Internal Quality Control in Food Analytical Laboratories." Mycotoxins 59, no. 2 (2009): 119–22. http://dx.doi.org/10.2520/myco.59.119.

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11

Dequeker, Elisabeth, and Jean-Jacques Cassiman. "Genetic testing and quality control in diagnostic laboratories." Nature Genetics 25, no. 3 (2000): 259–60. http://dx.doi.org/10.1038/77008.

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12

Garza, A. "Quality control in laboratories of a liver unit." Hepatology 19, no. 4 (1994): I66. http://dx.doi.org/10.1016/0270-9139(94)90434-0.

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13

Cunha, Mariana M., Joaquim L. Viegas, Miguel S. E. Martins, et al. "Dual Resource Constrained Scheduling for Quality Control Laboratories." IFAC-PapersOnLine 52, no. 13 (2019): 1421–26. http://dx.doi.org/10.1016/j.ifacol.2019.11.398.

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14

Peric, Vinko, Dusan Jaric, Sonja Ketin, Admira Konicanin, and Rade Biocanin. "Quality of Control of Clinical-Biochemical Laboratories – Serbian Case." Open Access Macedonian Journal of Medical Sciences 2, no. 2 (2014): 219–23. http://dx.doi.org/10.3889/oamjms.2014.034.

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In the last 20 years in medical laboratories, numerous activities regarding quality and accreditation system were taken. Approach to this problem in European countries is different, so the task of the Accreditation Work Group of the Confederation of European societies for clinical chemistry (EC 4) to help the efforts to harmonize this issue. External quality control in clinical-chemical laboratories imposed the need for the implementation of quality management system. »Good laboratory practice« and its principles were adopted by nominated bodies, both international and national. In the beginni

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15

Valcárcel, Miguel, and Angel Ríos. "Automation and Quality in Analytical Laboratories." Journal of AOAC INTERNATIONAL 77, no. 3 (1994): 785–89. http://dx.doi.org/10.1093/jaoac/77.3.785.

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Abstract After a brief introduction to the generic aspects of automation in analytical laboratories, the different approaches to quality in analytical chemistry are presented and discussed to establish the following different facets emerging from the combination of quality and automation: automated analytical control of quality of products and systems; quality control of automated chemical analysis; and improvement of capital (accuracy and representativeness), basic (sensitivity, precision, and selectivity), and complementary (rapidity, cost, and personnel factors) analytical features. Several

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16

Dawson, K. J. "Quality control and quality assurance in IVF laboratories in the UK." Human Reproduction 12, no. 12 (1997): 2590–91. http://dx.doi.org/10.1093/oxfordjournals.humrep.a019562.

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17

Tillett, H. E., and N. F. Lightfoot. "Preliminary Statistical Assessment of UK Water Quality Control Trials." Water Science and Technology 24, no. 2 (1991): 57–60. http://dx.doi.org/10.2166/wst.1991.0030.

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In the UK the Public Health Laboratory Service distributes simulated water samples with low or moderate counts of organisms, usually coliforms. Sometimes these include small numbers of E. coli. Statistical analysis can be used to assess the performance of laboratories. The reasoning behind the statistical methodology must be made clear to participants. In any one trial the counts recorded by participating laboratories can be highly variable, but this may merely reflect the distribution of organisms between samples. Even with carefully prepared batches of water samples, where the aim is for ran

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18

Thakur, Singh. "Total quality management, laboratory accreditation and external quality assessment schemes." Jugoslovenska medicinska biohemija 23, no. 3 (2004): 311–15. http://dx.doi.org/10.2298/jmh0403311t.

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Two contradictory pressures, ?high quality? and ?cost reduction? require the clinical laboratories to adopt effective management techniques such as Total Quality Management (TQM). It is not merely a management process for quality improvement in all spheres of industrial functioning but also a management philosophy for overall organization development. TQM has been adopted by many health care organizations including clinical laboratories in the developed world. In the developing countries, however, majority are still using the traditional frame work of quality management. Through the concept of

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19

Testart, J., and B. Sele. "Quality control and medically assisted procreation in French laboratories." Human Reproduction 12, no. 12 (1997): 2587. http://dx.doi.org/10.1093/oxfordjournals.humrep.a019560.

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20

Cooper-Poole, B. "Quality control for rural laboratories in south-west Tanzania." Transactions of the Royal Society of Tropical Medicine and Hygiene 80, no. 5 (1986): 823. http://dx.doi.org/10.1016/0035-9203(86)90394-9.

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21

Cooper-Poole, B. "Quality control for rural laboratories in south-west Tanzania." Transactions of the Royal Society of Tropical Medicine and Hygiene 81, no. 3 (1987): 515. http://dx.doi.org/10.1016/0035-9203(87)90185-4.

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22

Netzer, Nikolaus, Uwe Weber, and Cornelius Kellner. "A Model for Continuous Quality Control of Sleep Laboratories." Sleep and Breathing 3, no. 3 (1999): 109–10. http://dx.doi.org/10.1007/s11325-999-0109-1.

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23

Merry, Jill. "Quality control samples for routine use in water laboratories." Fresenius' Journal of Analytical Chemistry 345, no. 2-4 (1993): 323–24. http://dx.doi.org/10.1007/bf00322622.

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24

Weiser, M. Glade, and Mary Anna Thrall. "Quality Control Recommendations and Procedures for In-Clinic Laboratories." Veterinary Clinics of North America: Small Animal Practice 37, no. 2 (2007): 237–44. http://dx.doi.org/10.1016/j.cvsm.2006.11.006.

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25

Kinns, Helen, Sarah Pitkin, David Housley, and Danielle B. Freedman. "Internal quality control: best practice." Journal of Clinical Pathology 66, no. 12 (2013): 1027–32. http://dx.doi.org/10.1136/jclinpath-2013-201661.

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There is a wide variation in laboratory practice with regard to implementation and review of internal quality control (IQC). A poor approach can lead to a spectrum of scenarios from validation of incorrect patient results to over investigation of falsely rejected analytical runs. This article will provide a practical approach for the routine clinical biochemistry laboratory to introduce an efficient quality control system that will optimise error detection and reduce the rate of false rejection. Each stage of the IQC system is considered, from selection of IQC material to selection of IQC rule

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26

Rautemaa-Richardson, Riina, Wil A Van der Reijden Wa, Gunnar Dahlen, and Andrew J. Smith. "Quality control for diagnostic oral microbiology laboratories in European countries." Journal of Oral Microbiology 3, no. 1 (2011): 8395. http://dx.doi.org/10.3402/jom.v3i0.8395.

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27

Park, Hae Dong, Eun Kyo Chung, and Kiwoong Kim. "The Quality Control Program for Industrial Hygiene Laboratories in Korea." Safety and Health at Work 8, no. 3 (2017): 322–26. http://dx.doi.org/10.1016/j.shaw.2017.08.003.

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28

Topper, K. "Evaluation of quality control techniques utilized by soil testing laboratories." Communications in Soil Science and Plant Analysis 21, no. 13-16 (1990): 1663–80. http://dx.doi.org/10.1080/00103629009368330.

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29

Cavill, I. "Quality Control and Assurance in Clinical Laboratories: Three Years On." Journal of Clinical Pathology 42, no. 2 (1989): 221. http://dx.doi.org/10.1136/jcp.42.2.221-d.

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30

Bishop, J., and A. B. Nix. "Comparison of quality-control rules used in clinical chemistry laboratories." Clinical Chemistry 39, no. 8 (1993): 1638–49. http://dx.doi.org/10.1093/clinchem/39.8.1638.

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Abstract Numerous papers have been written to show which combinations of Shewhart-type quality-control charts are optimal for detecting systematic shifts in the mean response of a process, increases in the random error of a process, and linear drift effects in the mean response across the assay batch. One paper by Westgard et al. (Clin Chem 1977;23:1857-67) especially seems to have attracted the attention of users. Here we derive detailed results that enable the characteristics of the various Shewhart-type control schemes, including the multirule scheme (Clin Chem 1981;27:493-501), to be calcu

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31

Artsob, Harvey, and Maxwell Garvie. "Quality Control Assessment of Canadian Laboratories Testing for Lyme Disease." Canadian Journal of Infectious Diseases 2, no. 1 (1991): 41–45. http://dx.doi.org/10.1155/1991/128961.

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In June 1990 a quality control assessment was undertaken of Canadian public health laboratories testing for antibodies toBorrelia burgdorferi, the etiological agent of Lyme disease. Twenty sera were distributed to nine laboratories, including 12 obtained from patients in Lyme endemic areas and presumed to be serological positives, and eight prescreened negative controls. Seventeen serological reports were submitted, comprising nine enzyme-linked immunosorbent assays (elisa), six immunofluorescent assays and two Western blot assessments. Antibodies were detected in 11 of the 12 sera which had b

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32

Lopes, Miguel R., Andrea Costigliola, Rui M. Pinto, Susana M. Vieira, and Joao M. C. Sousa. "Novel Governance Model for Planning in Pharmaceutical Quality Control Laboratories." IFAC-PapersOnLine 51, no. 11 (2018): 484–89. http://dx.doi.org/10.1016/j.ifacol.2018.08.365.

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33

Marubini, E., P. Verderio, C. Casini Raggi, M. Pazzagli, and C. Orlando. "Statistical Diagnostics Emerging from External Quality Control of Real-Time PCR." International Journal of Biological Markers 19, no. 2 (2004): 141–46. http://dx.doi.org/10.1177/172460080401900209.

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Besides the application of conventional qualitative PCR as a valuable tool to enrich or identify specific sequences of nucleic acids, a new revolutionary technique for quantitative PCR determination has been introduced recently. It is based on real-time detection of PCR products revealed as a homogeneous accumulating signal generated by specific dyes. However, as far as we know, the influence of the variability of this technique on the reliability of the quantitative assay has not been thoroughly investigated. A national program of external quality assurance (EQA) for real-time PCR determinati

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34

Sunderman, F. W. "The History of Proficiency Testing/Quality Control." Clinical Chemistry 38, no. 7 (1992): 1205–9. http://dx.doi.org/10.1093/clinchem/38.7.1205.

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Abstract The history and origins of proficiency testing of clinical laboratories are reviewed. Since the introduction of proficiency testing in the late 1940s, dramatic improvement in laboratory performance has been demonstrated. Nonetheless, the poor performance found two decades earlier was summoned to support the passage of the Clinical Laboratory Improvement Act of 1967 (CLIA '67).

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35

Balažic, Jože, and Irena Zupanič. "Quality control and quality assurance in DNA laboratories: legal, civil and ethical aspects." Forensic Science International 103 (August 1999): S1—S5. http://dx.doi.org/10.1016/s0379-0738(99)00064-x.

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36

LaBeau, Kathleen M., Marianne Simon, and Steven J. Steindel. "Quality Control of Test Systems Waived by the Clinical Laboratory Improvement Amendments of 1988." Archives of Pathology & Laboratory Medicine 124, no. 8 (2000): 1122–27. http://dx.doi.org/10.5858/2000-124-1122-qcotsw.

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Abstract Context.—Recent advances in laboratory testing technology have resulted in a rapidly increasing number of test systems targeted for physician office, point-of-care, and home health care settings. With enhanced error detection mechanisms and unitized reagents, these new systems simplify the testing process and the assessment of analytical test performance. Many also meet the criteria set by the Clinical Laboratory Improvement Amendments of 1988 (CLIA) to qualify as waived test systems, and laboratories using only waived tests are subject to very limited regulatory oversight. Objective.

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37

Valette, M., and M. Aymard. "Quality control assessment of influenza and RSV testing in Europe: 2000-01 season." Eurosurveillance 7, no. 11 (2002): 161–65. http://dx.doi.org/10.2807/esm.07.11.00375-en.

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The Quality Control Assessment (QCA) was initiated to evaluate the quality of the influenza and respiratory syncytial virus (RSV) testing in the national reference centres belonging to the European Influenza Surveillance Scheme (EISS) network. Samples were coded and sent in two panels of 12 samples within a two week interval to 16 laboratories during the 2000-01 winter season. The antibodies titration by HI test was reported by 60% of the laboratories (n=16), and the results were correct for 56% of them. One false detection of influenza B antibodies was reported by one laboratory, and for the

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38

Sharp, Susan E., Melissa B. Miller, and Janet Hindler. "Individualized Quality Control Plan (IQCP): Is It Value-Added for Clinical Microbiology?" Journal of Clinical Microbiology 53, no. 12 (2015): 3719–22. http://dx.doi.org/10.1128/jcm.02385-15.

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The Center for Medicaid and Medicare Services (CMS) recently published their Individualized Quality Control Plan (IQCP [https://www.cms.gov/regulations-and-guidance/legislation/CLIA/Individualized_Quality_Control_Plan_IQCP.html]), which will be the only option for quality control (QC) starting in January 2016 if laboratories choose not to perform Clinical Laboratory Improvement Act (CLIA) [U.S. Statutes at Large 81(1967):533] default QC. Laboratories will no longer be able to use “equivalent QC” (EQC) or the Clinical and Laboratory Standards Institute (CLSI) standards alone for quality control

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39

Gyawali, P., S. Tamrakar, N. Lamsal, and RK Shresta. "Practice of patient based quality assessment procedure in clinical chemistry unit at diagnostic laboratories in Nepal." Sunsari Technical College Journal 1, no. 1 (2013): 9–17. http://dx.doi.org/10.3126/stcj.v1i1.7983.

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Background: The clinical laboratory is the major producer of information used to diagnose, treat, and monitor patients. Errors in laboratory testing may occur at many different points in the total testing process (TTP). Application of quality control plays a vital role in recognizing probable errors. The current dominant technique for error identification uses quality control materials has several inherent drawbacks; otherwise, patient based quality control procedure ensures the detection of pre-analytical errors, analytical, post-analytical errors, clerical errors, and random errors that cann

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40

Tabrizi, Sepehr N. "Quality assessment for human papillomavirus testing." Sexual Health 7, no. 3 (2010): 335. http://dx.doi.org/10.1071/sh09152.

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There are over 30 commercial, as well as numerous in-house assays, available for human papillomavirus testing. Laboratories performing such assays would need to assess accuracy and reproducibility of their results by incorporating ongoing internal control as well as participating in external quality-assurance schemes (EQAS) as part of their quality assurance program. Several EQAS are available and participation in which is a requirement for laboratories engaged in HPV testing. It is important that laboratories select the appropriate panels for detection of targeted types covered by assay used.

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41

Kanungo, R. "Are clinical microbiology laboratories missing out quality control and quality assurance in laboratory management?" Indian Journal of Medical Microbiology 30, no. 1 (2012): 1. http://dx.doi.org/10.4103/0255-0857.93012.

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42

Lee, Graham R., Maria C. Fitzgibbon, and Paula O'Shea. "In control? IQC consensus and statutory regulation." International Journal of Health Care Quality Assurance 29, no. 5 (2016): 492–506. http://dx.doi.org/10.1108/ijhcqa-08-2015-0097.

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Purpose – Internal quality control (IQC) represents an essential risk management tool within the total testing pathway (TTP) that contributes to the overall objective of assuring the quality of results produced in medical laboratories. Controlling analytical phase quality alone requires significant expertise and input by scientifically trained staff. This effort has escalated exponentially following the publication of the International Organisation for Standardisation (ISO)15189:2012 requirements for quality and competence in medical laboratories. The reported inconsistency and diversity to IQ

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43

Jones, Graham RD. "Average of delta: a new quality control tool for clinical laboratories." Annals of Clinical Biochemistry 53, no. 1 (2016): 133–40. http://dx.doi.org/10.1177/0004563215581400.

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44

Masson, Pierre. "Quality control techniques for routine analysis with liquid chromatography in laboratories." Journal of Chromatography A 1158, no. 1-2 (2007): 168–73. http://dx.doi.org/10.1016/j.chroma.2007.03.003.

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45

Premachandra, P., P. L. Wood, P. G. Hill, D. M. Browning, and D. A. Olazabal. "Preparation and stability of low-cost liquid quality-control serum stabilized with ethanediol." Clinical Chemistry 33, no. 6 (1987): 851–52. http://dx.doi.org/10.1093/clinchem/33.6.851.

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Abstract The use of quality-control serum to monitor laboratory performance is an essential part of any health laboratory. However, laboratories in many countries are disadvantaged because of the non-availability or high cost of commercial quality-control sera. Here we describe the stability of bovine serum stabilized with ethanediol, prepared at low cost by simple techniques that are available in most laboratories.

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46

Conca, Raffaele, Loredana Praticò-Barbato, Anna Maria Dall'Omo, and Antonio Amoroso. "The Italian Quality Control Scheme for Crossmatching Procedures and HLA Sera Screening: The 2002 Pilot Study." Archives of Pathology & Laboratory Medicine 129, no. 11 (2005): 1470–75. http://dx.doi.org/10.5858/2005-129-1470-tiqcsf.

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Abstract Context.—The first national quality control (QC) program of histocompatibility serum testing was performed in Italy in 2002. Objective.—To monitor the performance of HLA typing laboratories while meeting the accreditation requirements of the European Federation for Immunogenetics (EFI), which require HLA typing laboratories to participate in external QC of their crossmatch and antibody analyses. Design.—The Turin Transplant Immunology Service was asked to organize a QC survey of 17 HLA typing laboratories in Italy. Each laboratory received 12 serum specimens and 6 blood samples and wa

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47

Ázara, Cinara Zago Silveira, Edna Joana Cláudio Manrique, Suelene Brito do Nascimento Tavares, Nadja Lindany Alves de Souza, and Rita Goreti Amaral. "Internal quality control indicators of cervical cytopathology exams performed in laboratories monitored by the External Quality Control Laboratory." Revista Brasileira de Ginecologia e Obstetrícia 36, no. 9 (2014): 398–403. http://dx.doi.org/10.1590/so100-720320140004996.

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48

Grant, C. L., I. E. Mcgee, T. F. Jenkins, and M. H. Stutz. "Specification-Based Modified Control Limits in Quality Control of Trace Chemical Analyses." Journal of AOAC INTERNATIONAL 75, no. 1 (1992): 39–45. http://dx.doi.org/10.1093/jaoac/75.1.39.

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Abstract Shewhart X and R charts were used to maintain and validate data quality of percent recovery estimates for 8 analytes determined by 4 procedures used routinely in 4 commercial laboratories over a 2-year period. However, because range (R) estimates of uncertainty did not Include lot-to-lot calibration variability, approximately 24% of the lots were "out-of-control." We extracted pooled standard deviations for So (repeatability within lot), SL (calibration variability), and SR (reproducibility), which represents the total variability. Values of So and SL were generally similar In size al

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49

Chaturvedi, Vishnu, Rama Ramani, Mahmoud A. Ghannoum, et al. "Multilaboratory Testing of Antifungal Combinations against a Quality Control Isolate of Candida krusei." Antimicrobial Agents and Chemotherapy 52, no. 4 (2008): 1500–1502. http://dx.doi.org/10.1128/aac.00574-07.

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ABSTRACT Candida krusei ATCC 6258 was tested by eight laboratories using 96-well plates containing checkerboard pairwise combinations of amphotericin B (AMB), posaconazole (PSC), caspofungin (CSP), and voriconazole (VRC). The methodology led to reproducible results across the laboratories. All drug combinations yielded MICs lower than the MICs of any two drugs tested singly, and combinations of AMB, PSC, CSP, and VRC were indifferent (no antagonism) by summations of fractional inhibitory concentration.

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50

Yu, Lianbo. "RNA-Seq Reproducibility Assessment of the Sequencing Quality Control Project." Cancer Informatics 19 (January 2020): 117693512092249. http://dx.doi.org/10.1177/1176935120922498.

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With the widespread RNA-seq applications of different sequencing platforms in biomedical science research in recent years, a systematic evaluation of RNA-seq data quality is crucial and timely. The Sequencing Quality Control (SEQC) project is a large-scale community effort for assessing the performance of RNA-seq technology across different platforms and multiple laboratories, where reference RNA samples with multiple replicates were sequenced at 12 laboratories using 3 sequencing platforms. Different from the SEQC project, we performed an independent and comprehensive analysis of RNA-seq data

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