Centers for Disease Control performance evaluation program in bacteriology: 1980 to 1985 review

Griffin, Charles W.; Cook, E C; Mehaffey, M A

doi:10.1128/jcm.24.6.1004-1012.1986

Cited by 6 publications

(4 citation statements)

References 3 publications

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“…These figures are clearly worse than identification scores reported for human clinically relevant bacteria (Larsen & Sandven 1983, Griffin et al 1986.…”

Section: Resultsmentioning

confidence: 57%

“…Human diagnostic laboratories in the USA (1980-85) experienced the least difficulty in identifying Gram-positive and Gramnegative cocci (>90% correctly identified) and greater difficulties with Gram-positive rods and miscellaneous Gram-negative bacteria (>50% and >25% misidentified). Identification of members of the family Enterobacteriaceae was of moderate difficulty (Griffin et al 1986). In the last 20 years in all morphological groups, major taxonomic changes have been established, phenotypic identification methods have changed and the spectrum of bacterial species differs partly between human and other animal species.…”

Section: Resultsmentioning

confidence: 99%

“…The goal of participation is monitoring and, if possible, improvement of diagnostic capabilities. Improvement has been found in some studies (Whitby et al 1982, Griffin et al 1986, Kumasaka et al 2001, but also no significant change has been observed in performance (Novak 2001). The apparent lack of improvement in performance among the QAP participants might partly be due to changes in the list of participating laboratories, the turnover of laboratory personnel and introduction of new technologies in the form of identification kits and systems.…”

Section: Reasons For Misclassificationmentioning

confidence: 99%

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Identification of bacterial strains by laboratories participating in the Deutsches Krebsforschungszentrum quality assurance programme

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Reubsaet

2007

Lab Anim

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The quality assurance programme (QAP) of the Deutsches Krebsforschungszentrum (DKFZ) is a proficiency testing system developed to service the laboratory animal discipline. QAP comprises the quarterly distribution of two bacterial strains originating from various species of animals for identification to the species level and antibiotic susceptibility testing. We compared identification results reported by QAP participants over the years 1996-2004 with those obtained by the Dutch Bacterial Diagnostics reference laboratory on 68 samples comprising 71 bacterial strains and a fungus. Significant differences were found in the frequency of reported and correct identifications when bacteria were assigned to different groups based on morphology by Gram stain and on origin (animal versus environmental, rodent and rabbit versus other animal species, pathogen versus non-pathogens). Rodent and rabbit pathogens yielded 73% correct identifications, and with all bacterial strains only 60% of the identifications were correct. We assume that most QAP participants were from laboratory animal diagnostic laboratories. If this is true, the capabilities of laboratories in the laboratory animal discipline to correctly identify bacterial species are well below what are considered acceptable limits for human diagnostic laboratories. The distribution of cultured bacteria circumvents the most difficult step in the microbiological monitoring of animals, namely primary culture from clinical samples. We propose to set up a QAP that comprises the distribution of specimens mimicking clinical samples normally submitted to laboratory animal diagnostic laboratories.

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“…These figures are clearly worse than identification scores reported for human clinically relevant bacteria (Larsen & Sandven 1983, Griffin et al 1986.…”

Section: Resultsmentioning

confidence: 57%

Section: Resultsmentioning

confidence: 99%

Section: Reasons For Misclassificationmentioning

confidence: 99%

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Identification of bacterial strains by laboratories participating in the Deutsches Krebsforschungszentrum quality assurance programme

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Reubsaet

2007

Lab Anim

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“…Published analyses of OPTs in mycobacteriology have discussed the effects of the types of identification methods on the results reported by the participating facilities, as well as described test results over time (33). Investigations in other areas of microbiology (14,32) have dealt solely with the evaluation of OPT test specimens, internal laboratory quality control monitoring (2), or, as here, comparisons of OPT and blinded specimens (5,6,24). Richardson et al (24) compared OPT results with routine work on patient specimens and found that laboratories performing poorly on OPT lacked effective quality control, used nonstandard methods, and failed to follow in-house procedure manuals during analyses.…”

Section: Figmentioning

confidence: 99%

Evaluation of Mycology Laboratory Proficiency Testing

et al. 1999

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Changes over the last decade in overt proficiency testing (OPT) regulations have been ostensibly directed at improving laboratory performance on patient samples. However, the overt (unblinded) format of the tests and regulatory penalties associated with incorrect values allow and encourage laboratorians to take extra precautions with OPT analytes. As a result OPT may measure optimal laboratory performance instead of the intended target of typical performance attained during routine patient testing. This study addresses this issue by evaluating medical mycology OPT and comparing its fungal specimen identification error rates to those obtained in a covert (blinded) proficiency testing (CPT) program. Identifications from 188 laboratories participating in the New York State mycology OPT from 1982 to 1994 were compared with the identifications of the same fungi recovered from patient specimens in 1989 and 1994 as part of the routine procedures of 88 of these laboratories. The consistency in the identification of OPT specimens was sufficient to make accurate predictions of OPT error rates. However, while the error rates in OPT and CPT were similar for Candida albicans, significantly higher error rates were found in CPT forCandida tropicalis, Candida glabrata, and other common pathogenic fungi. These differences may, in part, be due to OPT’s use of ideal organism representatives cultured under optimum growth conditions. This difference, as well as the organism-dependent error rate differences, reflects the limitations of OPT as a means of assessing the quality of routine laboratory performance in medical mycology.

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Laboratory performance in a food microbiology proficiency testing scheme

Peterz¹

1992

Journal of Applied Bacteriology

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Results from two shipments in a proficiency testing scheme in which almost 200 food microbiology laboratories participated are summarized. Freeze-dried mixtures of bacteria were used as simulated food samples. Four and six samples, respectively, were examined. The statistical procedures used to evaluate the performance of participating laboratories are described. It is shown that laboratories which had been in the scheme for a long time perform, on average, better than those that had been in the scheme for a short time. The former laboratories produced fewer false and outlying results, and were more accurate and precise in their determinations.

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Centers for Disease Control performance evaluation program in bacteriology: 1980 to 1985 review

Abstract: a Percentages in boldface denote results with pure-culture type samples; all other results were with mixed-culture type samples. b Percentages reflect correct identification of genus, genus and group, genus and species, or serotype.

Cited by 6 publications

References 3 publications

Identification of bacterial strains by laboratories participating in the Deutsches Krebsforschungszentrum quality assurance programme

Identification of bacterial strains by laboratories participating in the Deutsches Krebsforschungszentrum quality assurance programme

Evaluation of Mycology Laboratory Proficiency Testing

Laboratory performance in a food microbiology proficiency testing scheme

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