@article{8514569,
  abstract     = {{The yield of blood cultures is proportional to the volume of blood cultured. We evaluated an automatic blood volume monitoring system, recently developed by Becton Dickinson within its BACTEC EpiCenter module, that calculates mean volumes of negative aerobic bottles and generates boxplots and histograms. First, we evaluated the filling degree of 339 aerobic glass blood cultures by calculating the weight-based volume for each bottle. A substantial amount of the bottles (48.3 %) were inadequately filled. Evaluation of the accuracy of the monitoring system showed a mean bias of -1.4 mL (-15.4 %). Additional evaluation, using the amended software on 287 aerobic blood culture bottles, resulted in an acceptable mean deviation of -0.3 mL (-3.3 %). The new software version was also tested on 200 of the recently introduced plastic bottles, which will replace the glass bottles in the near future, showing a mean deviation of +2.8 mL (+26.7 %). In conclusion, the mean calculated volumes can be used for the training of a single phlebotomist. However, filling problems appear to be masked when using them for phlebotomist groups or on wards. Here, visual interpretation of boxplots and histograms can serve as a useful tool to observe the spread of the filling degrees and to develop a continuous improvement program. Re-adjustment of the software has proven to be necessary for use with plastic bottles. Due to our findings, BD has developed further adjustments to the software for validated use with plastic bottles, which will be released soon.}},
  author       = {{Coorevits, Liselotte and Van Den Abeele, Anne-Marie}},
  issn         = {{0934-9723}},
  journal      = {{EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES}},
  keywords     = {{CULTURE BOTTLES,STREAM INFECTIONS,BACTEREMIA,MULTICENTER,FUNGEMIA}},
  language     = {{eng}},
  number       = {{7}},
  pages        = {{1459--1466}},
  title        = {{Evaluation of the BD BACTEC FX blood volume monitoring system as a continuous quality improvement measure}},
  url          = {{http://doi.org/10.1007/s10096-015-2373-2}},
  volume       = {{34}},
  year         = {{2015}},
}

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