What are the most frequent pre analytical errors?
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The most frequent pre-analytical errors identified in the research papers include improper test request forms, improper labeling, insufficient sample, invalid samples, sample mix-ups, delay in sample transportation, wrong timing for collection, sample not received (SNR), and samples from IV running areas . These errors contribute significantly to rejected samples, with reasons such as hemolysis, wrong tubes, clotted blood, inappropriate timing of collection, mislabeled specimens, insufficient specimen quantity, and lipemic specimens also being common causes for rejection . Additionally, errors such as coagulated samples, improperly drawn blood, improperly marked referrals, and insufficient samples for analysis were highlighted in another study as prevalent pre-analytical errors . Addressing these errors through staff training, continuous supervision, and adherence to established standards can help reduce the occurrence of these pre-analytical errors and improve overall laboratory quality .
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| Papers (5) | Insight |
|---|---|
| The most frequent pre-analytical errors in the phlebotomy process at Dos de Mayo National Hospital were lack of patient rest, phlebotomist identification, tube homogenization, patient instruction, and barcode labeling. | |
| The most frequent pre-analytical errors identified in the study were "coagulated sample", "improperly drawn blood", "improperly marked referral", "insufficient sample for analysis", and "hemolyzed sample". | |
| The most frequent pre-analytical errors include hemolysis, wrong tubes, clotted blood, inappropriate timing of collection, mislabeled specimens, insufficient specimen quantity, and lipemic specimens. | |
| The most frequent preanalytical errors were insufficient sample (43.7%), clotted sample (35.1%), and inappropriate sample (11.1%) in a clinical biochemistry laboratory, as per the study. | |
| The most frequent pre-analytical errors were improper test request forms, improper labeling, insufficient sample, invalid samples, sample mix-ups, and delays in sample transportation. |
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