A full blood count is a hematology test commonly used by clinicians to screen for disorders such as anemia, infections, and bleeding. A statistical analysis of results from the two instruments used at Kimberley National Health Laboratory Service will be conducted to determine which analyzer produced the most reliable results. This will help minimize the expenses and resources spent on using both analyzers that are designed to give the same outcomes.
The results of external quality control samples from two FBC instruments will be re-evaluated to compare precision and accuracy. An informed decision will be made based on the reliability and accuracy of results according to PTS in use. Statistical QC uses statistics such as mean and SD to monitor and evaluate method performance. ISO 9001 (2015) QMS states that precision is calculated and discussed in terms of standard deviation (SD) and coefficient of variation (CV). A precise and closely clustered data set has a smaller SD and is generally more reliable than one that is widely distributed. The mean measures accuracy. Both analyzers gave precise and accurate results by reproducing repeatable results which were too close to the true value. However, XT2100i showed better performance as compared to Advia 2120i.
