Background Occupational health risk assessment is the foundation of safeguarding workers' occupational health. However, traditional assessment methods often fail to adequately account for health effects and enterprise-specific characteristics, limiting their comprehensive evaluation capabilities. Additionally, these methods suffer from inconsistent standards, narrow application scopes, insufficient hazard sub-categorization, and indicator systems that poorly support informatization and digital transformation. To address these gaps, this study proposes methodological innovations focusing on the assessment indicator system. Objective To construct a systematic, generalizable, and practical occupational health comprehensive risk assessment indicator system by leveraging occupational health practices and surveillance big data from Shanghai. Methods Initial system indicators were extrated through literature review. Subsequently, expert interviews and group discussions, combined with occupational health surveillance big data, were used to refine these indicators, forming a candidate pool covering two major dimensions: risk factor characteristics and enterprise characteristics. The Delphi method was applied to evaluate and screen the indicators, while the analytic hierarchy process (AHP) was used to construct a hierarchical model and determine indicator weights. Results A total of 76 articles were reviewed, identifying 25 candidate indicators. After two rounds of Delphi expert consultation, 8 primary indicators (e.g. hazard characteristics, exposure characteristics, health effects, industry characteristics, management characteristics, protective features, adverse events, and uncertainty) and 17 secondary indicators (hazard factor characteristics, exposure levels, number of people exposed, number of factor exposure, special physical exam indicators, suspected occupational diseases, occupational diseases, industry categories, organizational management, hazard reporting, occupational health training, hazard factor testing, occupational health exams, protective facilities, personal protective equipment, administrative penalties, and data quality) were finalized. The expert response rate was 100%, and the expert authority coefficient was 0.86. The Kendall's W coefficients for importance and accessibility scores across the two consultation rounds were 0.41, 0.40 and 0.41, 0.50. A hierarchical model targeting the comprehensive occupational health risk index was constructed, comprising two major elements and three levels of indicators. AHP was applied to calculate the weights, with all judgment matrices demonstrating satisfactory consistency (consistency ratio < 0.1). Conclusion By integrating risk factor profiles with enterprise-specific characteristics via the Delphi-AHP approach, a robust occupational health comprehensive risk assessment indicator system is established. This system provides a practical framework for digitized occupational health management, though further empirical validation in real-world settings is warranted.

Background As a traditional labor-intensive industry, the manufacturing sector is an important source of occupational exposure to hazards such as dust, toxic chemicals, and noise. Objective To analyze the current status and spatiotemporal patterns of occupational hazards including dust, toxic chemicals, and noise in manufacturing workplaces in Shanghai from 2020 to 2025, and to provided evidence for optimizing targeted prevention and control strategies. Methods Workplace monitoring data for manufacturing enterprises in Shanghai were obtained from the National Occupational Hazard Factor Monitoring System for Workplaces. Descriptive analyses were conducted to evaluate the exceedance rates of occupational hazard factors related to occupational exposure limits. GeoDa software was utilized to perform spatial autocorrelation analysis of hazard-specific exceedance rates to identify spatial clustering patterns. Results From 2020 to 2025, the number of monitored manufacturing enterprises in Shanghai increased from 374 to 504. The monitored enterprises were mainly small and micro enterprises located in suburban areas. Over the six-year period, the exceedance rate for dust-exposed work posts decreased from 21.05% to 10.03%, whereas the exceedance rate for chemical toxicant-exposed work posts remained below 3%. Noise showed the highest and most persistent exceedance rate remaining over 20% throughout the study period. Spatial autocorrelation analysis indicated that high-high clusters of dust hazards were consistently concentrated in suburban districts, including Qingpu, Jinshan, and Songjiang. The spatial pattern of chemical toxicant hazards changed over time, with high-low clusters later concentrated in Baoshan and Minhang. High-high clusters of noise hazards showed an expanding pattern, spreading from Qingpu and Songjiang to several other districts, including Jiading, Minhang, and Fengxian. Conclusion Occupational hazards in the manufacturing sector of Shanghai are mainly characterized by exceedances related to dust and noise, with noise emerging as the most persistent and spatially expanding monitored hazard. These hazards exhibit clear spatial heterogeneity: dust-related risks are concentrated in traditional industrial areas, chemical toxicant risks change dynamically with the spatial distribution of industries, and noise-related risks expand across multiple districts. Future occupational interventions should prioritize noise control and implement targeted prevention strategies based on spatial clustering characteristics.

Background Occupational disease diagnosis appraisal is an appeal procedure initiated when a party disagrees with the occupational disease diagnosis conclusion. It is a legal procedure to safeguard the health rights of employees and the legitimate rights and interests of employers. Objective To analyze the data of occupational disease diagnosis appraisal in Shanghai, identify existing problems, and provide suggestions for improving. Methods Statistical analysis was conducted on basic situation, characteristics of workers and employers, disease classification, and consistency between diagnosis and appraisal conclusions of all occupational disease diagnosis appraisal cases from 2012 to 2024. All diagnosis conclusions were named in accordance with the Classified Catalogue of Occupational Diseases included employers were classified according to the Measures for the Statistical Classification of Large, Medium, Small and Micro Enterprises" and the Notice on Adjusting the Provisions for Classifying Enterprise Registration Types; industry classification followed the Industrial Classification for National Economic Activities (GB/T 4754-2017). Results From 2012 to 2024, a total of 260 cases of occupational diseases diagnosis appraisal were closed. The main diagnosis were 138 cases of ear, nose, throat, and oral diseases (53.1%), chemical poisoning (18.8%), and pneumoconiosis and other respiratory diseases (16.2%). The proportion of ear, nose, throat, and oral diseases gradually increased (2022 excluded). The incidence of annual municipal and provincial cases decreased by 76.3% and 85.0% respectively (2024 vs 2012). The consistency rate of conclusions between appraisal and diagnosis gradually increased. The total consistency rates between final appraisals and diagnostic conclusions were 81.5%, and 79.7%, 87.8%, 100.0%, 85.0% for ear, nose, throat, and oral diseases, chemical poisoning, and pneumoconiosis and other respiratory system diseases, respectively. Specifically, the consistency rates were 80.1% and 80.0% for noise-induced deafness and chronic benzene poisoning. In terms of inconsistency reasons, "inconsistent interpretation of standards and excessive discretion in standard application" accounted for 43.8%, followed by "failure to correctly apply standards" (31.3%) and and "discrepancies in occupational exposure history recognition" (15.6%). Conclusion The revisions and improvements of the legal system for occupational disease diagnosis appraisal have played a positive role in improving the consistency of conclusions between appraisal and diagnosis of occupational diseases in Shanghai. It is suggested to further strengthening the publicity and training of occupational disease diagnosis standards to improve the quality of occupational disease diagnosis.