AI Article Synopsis
- Specimens with incorrect patient information pose significant safety risks and are challenging to detect, with existing estimates likely missing many mislabelled samples.* -
- In this study, discrepancies in blood type from specimens labeled with the same patient information revealed a rate of approximately 3.17 per 1000 discrepancies, indicating many undetected mislabelled samples.* -
- The results suggest that only a small portion of mislabelled samples are formally identified, prompting further investigation to confirm findings and their applicability to other settings.*
Article Abstract
Background: Specimens with incorrect patient information are both a critical safety error and difficult to identify. Estimates of sample mislabelling rely on subjective identification of mislabelling, with the possibility that not all mislabelled samples are being caught.
Methods: We determined the blood type of two or more complete blood count specimens with the same patient label and assessed for discrepancies. We additionally determined the rate of identified sample mislabelling for the study period.
Results: We found a rate of 3.17 per 1000 discrepancies over the study period. These discrepancies most likely represent occult, or unidentified, mislabelled samples. In contrast, the rate of identified sample mislabelling was 1.15 per 1000.
Conclusions: This study suggests that specimens identified as, or known to be, mislabelled represent only a fraction of those mislabelled. These findings are currently being confirmed in our laboratory and are likely generalisable to other institutions.
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Source |
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| http://dx.doi.org/10.1136/jcp-2024-209544 | DOI Listing |
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