| Niu Yating,Su Yinping,Liang Jing,Hou Changsong,Sun Quanfu.Study on estimation of medical exposure frequency in China[J].Chinese Journal of Radiological Medicine and Protection,2019,39(5):325-330 |
| Study on estimation of medical exposure frequency in China |
| Received:March 15, 2019 |
| DOI：10.3760/cma.j.issn.0254-5098.2019.05.002 |
| KeyWords:Diagnostic radiology Radiotherapy Medical exposure Frequency Estimation |
| FundProject: |
| Author Name | Affiliation | E-mail | | Niu Yating | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, 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 Prevention, Beijing 100088, China | | | Liang Jing | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China | | | Hou Changsong | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, 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 Prevention, Beijing 100088, China | sunquanfu@nirp.chinacdc.cn |
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| Abstract:: |
| Objective To study the estimation method of medical exposure frequency in China through the survey of diagnostic radiology and radiotherapy institutions in selected provinces. Methods A survey of medical exposure frequency was carried out involving 557 diagnostic radiology and radiotherapy institutions in 25 provinces. The correlation analysis and multiple linear regression analysis were conducted, with the fitting effects of the models with different variables being compared. Results The total medical exposure frequencies highly correlated with number of outpatient, number of equipment and number of radiation workers (|r|>0.5). Representative samples of the daily medical exposure workload were obtained by stratified random sampling from the survey data. Mathematical models were built using the multiple linear regression between total medical exposure frequency and hospital levels, number of outpatients, number of inpatients, number of equipment, and number of radiation workers. The total medical exposure frequency in 2016 was estimated to be 589 million examinations based on the models. In addition, the frequencies of medical procedures were derived using the robust regression and the median regression. Conclusions There are several methods for estimating the total medical exposure frequency. It is desirable to use the stratified random sampling combined with the published statistical and monitoring data. The representativeness of sample is critical. The specification and optimization of models also require further study. |
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