Objective To find shortcomings and deficiencies by comparing present situation of quality control of clinical blood use among hospitals of different class in Hebei province,and put forward a strategy to strengthen management for clinical blood use.Methods A total of 602 hospitals including 86 third-level hospitals,451 second-level hospitals,65 first-level hospitals in Hebei province were selected from January to December 2020.A table of indicators of quality control for clinical blood use was made based on the"Notice of the General Office of the National Health Commission on Issuing Clinical Blood Quality Control Indicators(2019 Edition)",and filled in by each hospital.The tables were sumitted to clinical blood quality control center in Hebei province after inputting the data into the Excel form,and the data was analyzed statistically.Results The qualified rate of clinical blood transfusion application forms in the third-level,second-level,and first-level hospitals was 98.2%,96.41%,97.21%,respectively(χ2=2160.24,P<0.05).The respective internal quality control rate in items for transfusion compatibility test was 98.30%,91.75%,90.05%,respectively(χ2==50.71,P<0.05).The respective participation rate of external quality assessment items was 99.73%,98.18%,94.01%,respectively(χ2=37.5,P<0.05).The respective blood group reexamination rate of blood recipient samples was 102.40%,101.39%,98.98%,respectively(χ2=5598.49,P<0.05).The respective report number of adverse reactions in transfusion per 1000 units was 1.76,3.86,2.07,respectively(χ2=258.94,P<0.05).The respective autotransfusion rate was 41.86%,5.10%,0,respectively(χ2=118.33,P<0.05).The respective autotransfusion rate in total surgical patients was 9.43%,2.71%,0,respectively(χ2=5813.11,P<0.05).Conclusion Third-level hospital is superior to second-level hospital and first-level hospital in quality control of clinical blood use.Management system is imperfect,and management level is poor in second-level hospital and first-level hospital.There are potential safety risks in multiple links of clinical blood use.
NETL
NSTL
万方数据
