Objective To study the effects of self-made blood sampling-taking-transfusionsimulation video in the management of safe blood transfusion. Methods According to the tracking results, the process of blood transfusion were improved. Then blood sampling-taking-transfusionsimulation video was made that was used in the safe management of blood transfusion and their effects were evaluated. Results The blood transfusion knowledge score and self-efficacy score of nurses were 87.32 ± 7.08, 2.83 ± 0.84, and that of before improvement were 78.38 ± 8.46, 2.52 ± 0.78, and there were statistically significant differences (t=-14.486,-3.274, P<0.01). The qualification rate of blood specimen collection, assessment and check before blood transfusion and nursing record were 97.14% (68/70), 98.57%(69/70), 97.14%(68/70), 98.57%(69/70), and that of before improvement were 51.43%(36/70), 78.57% (55/70), 68.57% (48/70), 82.86% (58/70), the difference was statistically significant (χ2=38.291, 13.831, 20.115, 10.206, P<0.01). The qualified rate of safe blood transfusion increased from 81.43%(57/70) before improvement to 100.00% (70/70) (χ2=14.331, P<0.01). Conclusions Self-made bloodsampling-taking-transfusionsimulation video in the safe management of blood transfusion is effective.

Objective:To explore the application effect of global trigger tool (GTT) in detecting adverse events in ICU patients.Methods:According to contents of triggers in the GTT white paper, combined with the scope of domestic adverse event reporting and some ICU indexes, 16 triggers were established. A total of 1 683 medical records were collected from ICU of the Second People's Hospital of Liaocheng in Shandong Province from July 2018 to June 2019. According to the inclusion/exclusion criteria, 421 medical records of discharged patients were randomly selected according to the number of sampling intervals and 420 medical records were reviewed after eliminating repeated medical records. GTT method was used for retrospective analysis.Results:Of the 420 medical records actually used for review, 14 of the 16 triggers were positive, and the positive frequency of triggers was 128 cases, involving 62 patients. Adverse events were identified 51 times, involving 43 patients, with a detection rate of 10.24% (43/420) . Among the 51 cases of adverse events, 37 cases (72.55%) were Grade E, 13 cases (25.49%) were Grade F, and 1 case (1.96%) was Grade H. No Grade G or I was found. In the same year, 18 cases of adverse events were reported voluntarily in ICU, the reporting rate was 1.07% (18/1 683) .Conclusions:GTT can be effectively applied to the detection of adverse events in ICU patients, and a properly designed trigger can improve the detection rate.