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Semiautomated surveillance of deep surgical site infections after colorectal surgeries: A multicenter external validation of two surveillance algorithms – ERRATUM

Published online by Cambridge University Press:  08 September 2022

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Abstract

Type
Erratum
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

In the above article Reference Verberk, Van der Kooi, Hetem, Oostdam, Noordergraaf, De Greeff and Van Mourik1 , table 2 was incorrect; below is the corrected table:

Table 2: Algorithm performance (% (95%-confidence interval), unless specified other)

Abbreviations: Sens=sensitivity; Spec=specificity; PPV=Positive predictive value; NPV= negative predictive value; % red=percentage of workload reduction in number of medical records to review.

References

Verberk, J., Van der Kooi, T., Hetem, D., Oostdam, N., Noordergraaf, M., De Greeff, S., … Van Mourik, M. (2023). Semiautomated surveillance of deep surgical site infections after colorectal surgeries: A multicenter external validation of two surveillance algorithms. Infection Control & Hospital Epidemiology, 44(4), 616623 doi:10.1017/ice.2022.147CrossRefGoogle Scholar
Figure 0

Table 2: Algorithm performance (% (95%-confidence interval), unless specified other)