The impact of biosafety enhancement on stat laboratory quality metrics: Lessons from the COVID-19 pandemic

Frater, John L.; Anderson, Jeanne

doi:10.1016/j.cca.2020.11.021

Cited by 6 publications

(6 citation statements)

References 18 publications

(13 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Conversely, other studies that have compared preanalytical errors occurring before and during the pandemic have not reported any changes in the frequency of such errors during the pandemic phase. 8,9 Nevertheless, the overall rate of rejection observed in our study was consistent with prepandemic studies. [10][11][12][13][14] The rise in preanalytical errors can be attributed to three main factors.…”

Section: Discussionsupporting

confidence: 90%

“…The reduced field of vision, decreased manual dexterity, and heightened mental stress while managing infectious patients are potential reasons for the increase in preanalytical errors. [15][16][17] Lastly, the high patient load and shortage of time for healthcare professionals may have also affected the specimen collection process. The appointment of a trained and dedicated team of phlebotomists may help to reduce preanalytical errors and ease the burden on healthcare professionals involved in the clinical care of patients.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Increased preanalytical errors during Covid-19 Pandemic

Tyagi¹

2023

JCHM

View full text Add to dashboard Cite

The clinical laboratories worldwide have faced numerous obstacles due to the COVID-19 pandemic. In the midst of this outbreak, mistakes that occur during the preanalytical phase of sample collection, transportation, and processing can result in unfavorable clinical outcomes. Therefore, the aim of this investigation was to ascertain and contrast the rate at which blood specimens are rejected by a clinical laboratory and to analyze and compare the types of preanalytical errors during the pre-pandemic and pandemic periods. The present retrospective study was done in Chhatrapati Shivaji Subharti Hospital; India. Information was gathered from two distinct time periods - the pre-pandemic phase, which spanned from December 30th, 2019 to March 22, 2020, and the pandemic phase, which ran from March 23th to November 30, 2020. The rate of rejection for blood samples was established by determining the percentage of blood collection tubes containing preanalytical mistakes out of the total number of tubes received. A total of 102,000 blood samples were examined, out of which 40,800 (40%) were collected during the pandemic. The pandemic phase witnessed a significantly higher rate of rejection of blood samples (4%) as compared to the pre-pandemic phase (1%) (P < 0.001). In both phases, the most common preanalytical error was the clotting of samples. There was a significant increase in improperly labeled samples during the pandemic, while there was a notable decrease in hemolyzed samples. Given the prevailing situation of the Corona pandemic, altered logistics have led to a significant surge in preanalytical errors and consequent rejection of blood specimens in clinical laboratories. Therefore, it is imperative to take corrective measures at different levels to minimize preanalytical errors, which would ultimately enhance patient care and optimize the utilization of resources.

show abstract

Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Increased preanalytical errors during Covid-19 Pandemic

Tyagi¹

2023

JCHM

View full text Add to dashboard Cite

show abstract

“…The major finding of our study was that the specimen rejection rate during the pandemic phase was significantly higher than the pre-pandemic phase which was highest at the beginning of the pandemic and gradually declined towards the end of the study period. In contrast, the other published studies which compare the preanalytical errors occurring in the pre-pandemic and pandemic phase, have not shown any change in the frequency of preanalytical errors during the pandemic period in their set-up ( 9 , 10 ). However, the overall rejection rate observed in our study was similar to pre-pandemic studies ( 11 - 15 ).…”

Section: Discussionmentioning

confidence: 70%

“…Secondly, the PPE worn by all healthcare personnel made specimen collection challenging. The decreased field of vision, reduced manual dexterity along with the heightened mental stress experienced while managing infectious patients are possible reasons for increase in some of the errors in the preanalytical phase ( 16 - 18 ). Lastly, the shortage of time for the healthcare professionals due to high patient load may also have affected specimen collection process.…”

Section: Discussionmentioning

confidence: 99%

The rise in preanalytical errors during COVID-19 pandemic

Mukhopadhyay

Subramanian

Pandey

et al. 2021

Biochem. med. (Online)

View full text Add to dashboard Cite

Introduction The COVID-19 pandemic has posed several challenges to clinical laboratories across the globe. Amidst the outbreak, errors occurring in the preanalytical phase of sample collection, transport and processing, can further lead to undesirable clinical consequences. Thus, this study was designed with the following objectives: (i) to determine and compare the blood specimen rejection rate of a clinical laboratory and (ii) to characterise and compare the types of preanalytical errors between the pre-pandemic and the pandemic phases. Materials and methods This retrospective study was carried out in a trauma-care hospital, presently converted to COVID-19 care centre. Data was collected from (i) pre-pandemic phase: 1 st October 2019 to 23 rd March 2020 and (ii) pandemic phase: 24 th March to 31 st October 2020. Blood specimen rejection rate was calculated as the proportion of blood collection tubes with preanalytical errors out of the total number received, expressed as percentage. Results Total of 107,716 blood specimens were screened of which 43,396 (40.3%) were received during the pandemic. The blood specimen rejection rate during the pandemic was significantly higher than the pre-pandemic phase (3.0% versus 1.1%; P < 0.001). Clotted samples were the commonest source of preanalytical errors in both phases. There was a significant increase in the improperly labelled samples (P < 0.001) and samples with insufficient volume (P < 0.001), whereas, a significant decline in samples with inadequate sample-anticoagulant ratio and haemolysed samples (P < 0.001). Conclusion In the ongoing pandemic, preanalytical errors and resultant blood specimen rejection rate in the clinical laboratory have significantly increased due to changed logistics. The study highlights the need for corrective steps at various levels to reduce preanalytical errors in order to optimise patient care and resource utilisation.

show abstract

“…With the agent model, some scholars have carried out the COVID-19 transmission simulation at a macro level [20]. However, more scholars use the agent model to study the spread and prevention and control of the COVID-19 in hospitals, schools, supermarkets, and other large public spaces by virtue of its advantages in micro-scale simulation [21][22][23][24][25][26]. In the most exciting research [27], the blood collection and diagnostic flow system in hospitals were optimized by using this system.…”

Section: Introductionmentioning

confidence: 99%

Agent-Based Simulation of Virus Testing in Certain-Exposure Time through Community Health Service Centers’ Evaluation—A Case Study of Wuhan

Zhou¹,

Zhao

Zheng

et al. 2021

Healthcare

View full text Add to dashboard Cite

Short-term and large-scale full-population virus testing is crucial in containing the spread of the COVID-19 pandemic in China. However, the uneven distribution of health service facilities in terms of space and size may lead to prolonged crowding during testing, thus increasing the chance of virus cross-infection. Therefore, appropriate control of crowd exposure time in large-scale virus testing should be an important goal in the layout of urban community health facilities. This paper uses the Quanta concept and Wells-Riley model to define the “certain-exposure time” under low cross-infection rate. Then, an agent-based simulation model was used to simulate the reasonable screening efficiency of community health service facilities during certain-exposure time at different stages of the COVID-19 pandemic and under different screening processes. Eventually, the screening efficiency was evaluated for all community health service centers in Wuhan. During the early period of the pandemic, 23.13% of communities failed to complete virus testing of community residents within 2 h of certain-exposure time, leaving approximately 56.07% of the population unscreened; during the later period of the COVID-19 pandemic, approximately 53% of communities and 75% of residents could not be screened. The results can pinpoint the distribution of community health service centers with inadequate screening capacity, facilitate targeted policymaking and planning, and effectively curb COVID-19 cross-infection during screening.

show abstract

The impact of biosafety enhancement on stat laboratory quality metrics: Lessons from the COVID-19 pandemic

Cited by 6 publications

References 18 publications

Increased preanalytical errors during Covid-19 Pandemic

Increased preanalytical errors during Covid-19 Pandemic

The rise in preanalytical errors during COVID-19 pandemic

Agent-Based Simulation of Virus Testing in Certain-Exposure Time through Community Health Service Centers’ Evaluation—A Case Study of Wuhan

Contact Info

Product

Resources

About