Occupational Health Management of Medical Radiation Staff in Chongqing’s Jiulongpo District

Abstract

Objective: This study aimed to analyze the basic demographics, occupational health management, and the availability of personal protective equipment among radiation workers in radiological diagnosis and treatment institutions (excluding dental clinics) in Jiulongpo District from 2022 to 2024. The goal was to provide data to support the prevention of occupational radiation diseases in the district and offer evidence for health authorities to optimize regulatory measures. Methods: Based on the occupational radiation disease surveillance project in Jiulongpo District, a questionnaire survey was conducted to statistically analyze the number of radiation workers, their occupational health management status, and the provision of personal protective equipment in radiological institutions at various levels. Results: (1) Number of institutions: The total number of radiological diagnosis and treatment institutions in Jiulongpo District remained generally stable from 2022 to 2024, with no significant fluctuations observed. (2) Occupational health management: The individual dose monitoring rate for radiation workers and the filing rate for occupational health surveillance both reached 100%. The rate of possessing required qualifications increased year by year, rising from 89.8% in 2022 to 100% in 2024. (3) Availability of protective equipment: The availability rate of personal protective equipment in the field of X-ray image diagnosis showed an upward trend, while the availability rate in interventional radiology and nuclear medicine remained consistently at 100%. Conclusions: The occupational health management of radiation workers in Jiulongpo District showed significant improvement over the three-year period. However, the provision of personal protective equipment in the field of X-ray image diagnosis requires further implementation. It is recommended that health authorities strengthen macro-level regulation and promote the optimization of resource allocation to comprehensively enhance the occupational health management level of radiological diagnosis and treatment institutions.