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Logistic regression model-based analysis of influencing factors of initial testing qualified rate of condition monitoring of digital radiography devices in China / 中华放射医学与防护杂志
Chinese Journal of Radiological Medicine and Protection ; (12): 787-792, 2022.
Article Dans Chinois | WPRIM | ID: wpr-956861
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.

Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) langue: Chinois Texte intégral: Chinese Journal of Radiological Medicine and Protection Année: 2022 Type: Article

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Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) langue: Chinois Texte intégral: Chinese Journal of Radiological Medicine and Protection Année: 2022 Type: Article