Quality Assurance in the Preanalytical Phase

Llopis, María Antonia; Álvarez, Virtudes; Martínez-Brú, Cecilia; Gomez, Roy; Barba, Nuria; Ibarz, Mercè; Cortés, Mariano; Ventura, Montserrat Carbonell; Alsina, M. Jesús

doi:10.5772/15854

Applications and Experiences of Quality Control 2011

DOI: 10.5772/15854

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Quality Assurance in the Preanalytical Phase

María Antonia Llopis¹,

Virtudes Álvarez²,

Cecilia Martínez-Brú³

et al.

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Cited by 5 publications

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“…2 The preanalytical is the most complex phase in the testing process and affects both the quality of the analytical result and the interpretation of information provided. [8][9][10] Studies have shown that preanalytical errors account for as much as 70% of total laboratory errors, 7% to 13% are analytical errors and postanalytical errors range from 20% to 50%. 11,12 Apart from increasing health care costs and wastage of resources for laboratories, laboratory errors negatively affect patient satisfaction, influencing quality of patient care.…”

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confidence: 99%

Detecting Preanalytical Errors Using Quality Indicators in a Hematology Laboratory

Alshaghdali

Alcantara

Rezgui

et al. 2021

Quality Management in Health Care

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Background and Objectives: Monitoring laboratory performance continuously is crucial for recognizing errors and fostering further improvements in laboratory medicine. This study aimed to review the quality indicators (QIs) and describe the laboratory errors in the preanalytical phase of hematology testing in a clinical laboratory. Methods: All samples received in the Hematology Laboratory of the Maternity and Pediatric Hospital in Hail for 3 years were retrospectively reviewed and evaluated for preanalytical issues using a set of QIs. The rate of each QI was compared to the quality specifications cited in the literature. Results: A total of 95002 blood samples were collected for analysis in the hematology laboratory from January 2017 through December 2019. Overall, 8852 (9.3%) were considered to show preanalytical errors. The most common were “clotted specimen” (3.6%) and “samples not received” (3.5%). Based on the quality specifications, the preanalytical QIs were classified generally as low and medium level of performance. In contrast, the sigma-based performance level indicates acceptable performance on all the key processes. Further analysis of the study showed a decreasing rate of preanalytical errors from 11.6% to 6.5%. Conclusions: Preanalytical errors remain a challenge to hematology laboratories. The errors in this case were predominantly related to specimen collection procedures that compromised the specimen quality. Quality indicators are a valuable instrument in the preanalytical phase that allows an opportunity to improve and explore clinical laboratory process performance and progress. Continual monitoring and management of QI data are critical to ensure ongoing satisfactory performance and to enhance the quality in the preanalytical phase.

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mentioning

confidence: 99%

Detecting Preanalytical Errors Using Quality Indicators in a Hematology Laboratory

Alshaghdali

Alcantara

Rezgui

et al. 2021

Quality Management in Health Care

View full text Add to dashboard Cite

show abstract

Gestión de los procesos preanalíticos en los laboratorios clínicos según los requisitos de la Norma UNE-EN ISO 15189:2013. Recomendación (2015)

Lavandeira¹,

Horche²,

Álvarez³

et al. 2016

Revista del Laboratorio Clínico

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Quality Audit on Venous Blood Sample Processing in Laboratories of Governmental Hospitals in Gamo Gofa Zone, South Ethiopia

Melkie¹,

Girma²,

Tsalla³

2013

SJCM

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Back ground: Pre-analytical activities persist to pose significant amount of uncertainties in clinical laboratories causing adverse impacts on patient health and the entire healthcare system. Venous blood sample (VBS) processing that has many error prone activities is one of the pre-analytical procedures performed in the laboratory. The objective of our survey was to identify, in Ethiopian Hospital laboratory setup , the major activities in the processing of VBS in which undesirable practices that may result in errors are executed. Methods: We have conducted institution based cross-sectional survey supplemented with non-participatory type observational study from February 2012 to September 2012 in laboratories of three governmental hospitals of Gamo Gofa zone, Southern Ethiopia. Pre-tested questionnaire and check list were used for data collection. Analysis of the data was performed using Medcalc® version 12.1.4 software. Results: A total of 19 laboratory professionals working in the three governmental hospitals were included in this survey. The activities possessing highest proportions of undesirable practices were related to establishment and adherence to serum/plasma/whole blood rejection criteria, measures taken when produced serum/plasma is too small for analysis, speed and duration of centrifugation. Low proportion of undesirable practices were found in activities related to capping test tubes before centrifugation, maximum allowed time before analysis of unpreserved serum/plasma/whole blood samples and balancing during centrifugation. None of the socio-demographic and background information of participants we assessed was associated with undesirability of VBS processing activities. Conclusion: From this study, we concluded that the VBS processing in the laboratories involved many undesirable practices that might lead to erroneous results. We identified that the gearing problem to the undesirable practices was absence of laboratory documents regarding VBS processing activities. Therefore, establishment and strict adherence to laboratory documents for every activity in VBS processing by every laboratory personnel would avoid many of the undesirable practices.

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Quality Assurance in the Preanalytical Phase

Cited by 5 publications

References 28 publications

Detecting Preanalytical Errors Using Quality Indicators in a Hematology Laboratory

Detecting Preanalytical Errors Using Quality Indicators in a Hematology Laboratory

Gestión de los procesos preanalíticos en los laboratorios clínicos según los requisitos de la Norma UNE-EN ISO 15189:2013. Recomendación (2015)

Quality Audit on Venous Blood Sample Processing in Laboratories of Governmental Hospitals in Gamo Gofa Zone, South Ethiopia

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