ABSTRACT
AIM OF THE STUDY: We evaluated and compared blood gas analysis (EGA) non-conformities (NC) considered operator-dependent performed in Point-Of-Care (POC) analyzer as quality indicators (IQ) of the pre-analytical phase. To this end, four different NC registered in the resuscitation departments of the Hospital Polyclinic Bari from the beginning of the pandemic (March 2020) until February 2022 were evaluated. The results obtained were compared with those recorded in the pre-COVID period (March 2018-February 2020) to check if there were differences in number and type. MATERIAL AND METHODS: GEM 4000 series blood gas analyzers (Instrumentation Laboratory, Bedford, MA, United States) are installed with integrated Intelligent Quality Management (iQM®), which automatically identify and log pre-analytical errors. All blood gas analyzers are connected to the company intranet and interfaced with the GEM Web Plus (Werfen Instrumentation Laboratory, Bedford, MA, United States) data management information system, which allows the core laboratory to remotely supervise all decentralized POC stations. The operator-dependent process NC were expressed in terms of absolute and relative proportions (percentiles and percentage changes). For performance evaluation, the Mann-Whitney U test, Chi-squared test and Six-Sigma Metric calculation for performance classification were performed. RESULTS: In the COVID period, 31,364 blood gas tests were performed vs. 16,632 tests in the pre-COVID period. The NC related to the suitability of the EGA sample and manageable by the operators were totals of 652 (3.9%) and 749 (2.4%), respectively, in the pre-COVID and COVID periods. The pre-analytical phase IQs used did not show statistically significant differences in the two periods evaluated. The Sigma evaluation did not show an increase in error rates. CONCLUSIONS: Considering the increase in the number of EGAs performed in the two periods, the training procedures performed by the core laboratory staff were effective; the clinical users of the POC complied with the indications and procedures shared with the core laboratory without increasing the operator-dependent NCs. Furthermore, the core laboratory developed monitoring activities capable of guaranteeing the maintenance of the pre-analytical quality.
ABSTRACT
Objectives: Coronavirus disease 2019 was declared a global pandemic in March 2020 with correct and early detection of cases using laboratory testing central to the response. Hence, the establishment of quality management systems and monitoring their implementation are critical. This study describes the experience of implementing the COVID-19 Laboratory Testing and Certification Program (CoLTeP) in Africa. Methods: Private and public laboratories conducting SARS-CoV-2 testing using polymerase chain reaction were enrolled and assessed for quality and safety using the CoLTeP checklists. Results: A total of 84 laboratories from 7 countries were assessed between April 2021 to December 2021 with 52% of these from the private sector. Among them, 64% attained 5 stars and were certified. Section 4 had the highest average score of 92% and the lowest of 78% in Section 3. Also, 82% of non-conformities (NCs) were related to sample collection, transportation, and risk assessments. Non-availability, inconsistency in performing, recording, instituting corrective actions for failed internal and external quality controls were among major NCs reported. Conclusions: Laboratories identified for SARS-CoV-2 testing by public and private institutions mostly met the requirements for quality and safe testing as measured by the CoLTeP checklist.