Li Mengxue,Zhang Ziyang,Deng Jun,Xu Hui,Cheng Jinsheng,Sun Quanfu.Logistic regression model-based analysis of influencing factors of initial testing qualified rate of condition monitoring of digital radiography devices in China[J].Chinese Journal of Radiological Medicine and Protection,2022,42(10):787-792 |
Logistic regression model-based analysis of influencing factors of initial testing qualified rate of condition monitoring of digital radiography devices in China |
Received:April 21, 2022 |
DOI:10.3760/cma.j.cn112271-20220421-00170 |
KeyWords:Digital radiography devices Quality control Condition monitoring Logistic regression model |
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Author Name | Affiliation | E-mail | Li Mengxue | 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 | | Zhang Ziyang | 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 | | Deng Jun | 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 | dengjun@nirp.chinacdc.cn | Xu Hui | 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 | | Cheng Jinsheng | 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 | |
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Abstract:: |
Objective To analyze the influencing factors on initial testing qualified rate of condition monitoring of digital radiography (DR) devices in China and provide the scientific basis for key points of national medical radiation protection monitoring work.Methods The data of quality control detection of DR devices, reported by 31 provinces in 2020, were collected from National Radiation Health Information Platform-National Medical Radiation Protection Monitoring System. Logistic regression was used to analyze the related influencing factors of initial testing qualified rate of condition monitoring of DR devices.Results The result of logistic regression analysis showed that the nature of radiological health technical service institutions, the level of medical and health institution and the regions where they are located in China were the independent influencing factors of initial testing qualified rate of condition monitoring of DR devices (χ2=15.41-21.18, P< 0.05). Private institution group (OR=1.714, 95%CI:1.310-2.243), tertiary hospital group (OR=1.710, 95%CI:1.310-2.232) and secondary hospital group (OR=1.540, 95%CI:1.203-1.971) had a higher qualified probability of DR devices, while western region group (OR=0.670, 95%CI:0.526-0.852) had a lower qualified probability of DR devices. Conclusions Supervision on quality control of DR devices should be strengthened, such as strengthening the random inspection and double-check to the devices. And great attention should be paid to the quality control testing of DR devices in the western China and in the primary and ungraded hospitals. |
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