Abstract:Objective The Logistic regression model of laboratory turnaround time (TAT) of blood coagulation test was established to explore the risk factors that affect the turnaround time in the laboratory and to verify the effect of the interventions. Methods A total of 2383 pre-intervention blood coagulation test data from October to December in 2018 and 2687 post-intervention data from March to May in 2019 were included. Information including ages, gender as well as education background of operators, laboratory TAT, the period of samples testing as well as sample load in each period were recorded. Then, the difference of laboratory TAT timeouts,the difference between pre- and post-midnight, the related factors on TAT were analyzed. Furthermore, operators average monthly TAT of pre- and post-intervention were accessed by clustering analysis. Results 1. There was significant difference of TAT among nine operators and TAT for four operators was significantly shortened after intervention. After the intervention, 7 operators reached the quality index, compared with 4 before the intervention. 2. Compared to post-midnight, TAT for five operators was significant shorter than it in pre-midnight before intervention, however, so as all operators did after intervention. 3. The result of logistic regress indicated that years of working was the positive factors for the TAT, however, the post-midnight testing period was on the opposite. Compared to A, operator B, G, H and I were positive factors, however, operator E was a negative factor. 4. According to pre-intervention average monthly TAT data, 9 operators were divided into three grades by clustering analysis, excellent: operator B, F, G, I; pass: operator A, C, D, H; failing: operator E, and the TAT data of operator A, C, D and H were close to E, nevertheless, clustering analysis of post-intervention TAT data revealed that the operator E’ TAT data was far worse than the other operators’. Conclusions Statistical model could be used in laboratory indicators analysis and negative factors exploring. The laboratory director could take the corrective action according to the results and achieve refined management consequently.