Zhang Pinhua,Su Yinping,Li Xiaoliang,Cui Shiyue,Lei Shujie,Sun Quanfu,Liu Jianxiang.Analysis of abnormal dose values from individual dose monitoring for radiation workers in medical institutions in China in 2020[J].Chinese Journal of Radiological Medicine and Protection,2021,41(9):695-699
Analysis of abnormal dose values from individual dose monitoring for radiation workers in medical institutions in China in 2020
Received:April 21, 2021  
DOI:10.3760/cma.j.issn.0254-5098.2021.09.010
KeyWords:Individual dose monitoring  Abnormal dose values  Radiation workers
FundProject:河南省科技攻关计划项目(142102310086);河南省医学科技攻关计划项目(LHGJ20190815)
Author NameAffiliationE-mail
Zhang Pinhua Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Protection, Beijing 100088, China  
Su Yinping Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Protection, Beijing 100088, China  
Li Xiaoliang Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Protection, Beijing 100088, China  
Cui Shiyue Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Protection, Beijing 100088, China  
Lei Shujie Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Protection, Beijing 100088, China  
Sun Quanfu Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Protection, Beijing 100088, China  
Liu Jianxiang Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Protection, Beijing 100088, China liujianxiang@nirp.chinacdc.cn 
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Abstract::
      Objective To analyze distributions of dose range, occupational category, and causes of abnormal dose values from individual dose monitoring of radiation workers and to provide recommendations for improving the quality of individual monitoring data and occupational health management in medical institutions. Methods The data of individual dose monitoring result exceeding 1.25 mSv in a single monitoring cycle, collected by Occupational Health System for Radiology Facilities' on National Radiological Health Information Platform, was analyzed. Results A total of 1 113 abnormal dose values were detected in 31 provinces in 2020, with an abnormal rate of 2.48‰, of which workers of diagnostic radiology and interventional radiology accounted for 68.01% and 18.78%, respectively. The dose distribution of abnormal dose values was mainly between 1.25 and 5 mSv. The abnormal dose values were mainly caused by improperly wearing or using personal dosimeters, accounting for 63.88%. Workers for whom the dose values was abnormal due to increased workload accounted for 12.32%, with an average annual individual dose of 5.14 mSv. There was no statistically significant difference in annual individual dose among radiation workers between different occupational groups(P>0.05). Conclusions Education and training on radiation protection for radiation workers should be strengthened, and a specific and feasible system for radiation protection management, as well as a reward and punishment system, should be established in order to reduce the occurance of the improper wearing of personal dosimeters. Great attention should be paid to occupational exposure of workers in diagnostic radiology and interventional radiology, and a work shift system should be conducted to reduce individual dose levels. It is recommended that standard verification procedures for abnormal dose values from individual dose monitoring should be developed to improve the quality of individual monitoring data.
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