
Luis Alberto León Bajaña, Carlos Aarón Cevallos Valencia, Roddy Wladimir Quimis Merchán
Espirales. Revista multidisciplinaria de investigación científica, Vol. 8, No. 49
April - June 2024 e-ISSN 2550-6862. pp 34-49
lead to adverse events; an adverse event in the clinical laboratory includes situations
that may compromise the patient's life. The authors van Moll et al., (2023)examined 327
reports allowing to analyze in which phase of the testing process the error occurred,
showing that 77.1% of the errors occurred in the pre-analytical phase, 13.5% in the
analytical phase and 8.0% in the post-analytical phase (1.5% undetermined). In another
study by Ballesteros & Trunzo, (2021) detected a total of 818 pre-analytical errors, of
which 42% corresponded to coagulated samples, 25% to hemolyzed samples, 23% to
inadequate sample volume, 4% to poorly marked samples, 3% to unmarked samples,
2% to samples in inadequate containers and 1% to other causes (such as tube breakage
in the centrifuge or failure of the sample to arrive).
According to the authors Pilco et al., (2023) an event can occur at any stage of the
laboratory process, these errors being categorized according to their cause, phase of
the process in which they occur, responsibility and impact on the patient. However, he
mentions that most accidents occur in the preanalytical and postanalytical phase due to
the lack of control that still persists in laboratories at these stages, since almost 70% of
these incidents do not directly affect the patient and the remaining ones are due to
other factors. On the other hand, Plebani et al, Plebani et al., (2021) mentions that the
results of a laboratory influence up to 75% in the medical diagnosis, therefore it is
necessary to maintain a rigorous quality control at all stages of the laboratory process to
ensure the reliability and accuracy of the results. (Jara & Batista, 2023)..
Likewise, the authors. Wang & Ho, (2018) in their study determined a total of 187
incidents in a span10 months, which is equivalent to an error detection rate of 0.26%.
The distribution of these incidents was as follows: 17% pre-analytical incidents, 25%
analytical incidents and 59% post-analytical incidents. On the other hand Vélez et al.,
(2023) argue that the incidence of errors, also influenced by data transcription, varies
between 3% and 39%, with an average of 13% in some laboratories. These errors can
be of various kinds, either due to lack of accurate or diagnostic information.
Likewise, Hidalgo et al., (2022) also consider among the factors to be considered the
frequency of incorrect identification of patients or samples, inadequate sample
collection and insufficient quantity and quality of samples. Also, the presence of
interferences in the samples should be taken into account, which significantly affect the
accuracy of the results and, therefore, their interpretation and clinical application.
In another research work carried out by Cespedes et al., (2019) In a retrospective and
longitudinal experimental study in the Clinical Laboratory of the Hospital Oncológico
Docente Provincial Conrado Benítez García in Santiago de Cuba, with the aim of
analyzing the accuracy of analytical procedures by determining the total error and the
six sigma metric. The results showed a satisfactory performance in gamma-glutamyl
transferase and alanine aminotransferase measurements, while glycemia and cholesterol
showed an inferior performance, which guarantees the reliability of the results in the
clinical laboratory and, therefore, the quality of the medical care provided to patients.
On the other hand, Lloacana et al., (2023) conducted a study with the objective of
examining how patient safety is implemented and contributed to in clinical laboratories