{"title":"Comprehensive evaluation of technical support capacity for occupational disease surveillance and assessment of CDCs in Sichuan Province, China.","authors":"Yumin Li, Xia Li, Li Lin, Enfei Jiang","doi":"10.1186/s12913-025-12451-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>When the health administration department re-assumed the responsibilities for occupational safety and health supervision and management in 2018, the Chinese government allocated special funds annually to the Centers for Disease Control and Prevention (CDCs) at all levels to enhance their capacity to monitor occupational diseases and hazardous factors. Thus, the CDCs' technical support capacity for occupational disease surveillance and assessment (TSCODSA) has garnered increasing attention. Against this backdrop, we aimed to develop a comprehensive evaluation model to assess the CDCs' TSCODSA, taking the municipal and county-level CDCs in Sichuan Province as an example.</p><p><strong>Methods: </strong>In 2023, a survey was conducted on the municipal and county-level CDCs across 21 cities (including three autonomous prefectures) in Sichuan Province. Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) was used to evaluate the TSCODSA of these CDCs, combined with the Rank Sum Ratio (RSR) method for classification. The obstacle degree model was used to analyze the primary factors influencing their capacity.</p><p><strong>Results: </strong>Among the 21 cities of Sichuan Province, only 4 cities (19.05%) had a \"good\" rating for the TSCODSA, while the remaining 17 cities (80.95%) were classified as either \"medium\" or \"poor\". Cities with \"good\" ratings for the TSCODSA of CDCs were predominantly concentrated in the Chengdu Plain Economic Zone, while cities with \"poor\" ratings were mainly concentrated in the Northeast Sichuan Economic Zone. Obstacle degree analysis revealed that core capacity building and human resources constitute significant barriers impacting the capacity levels of CDCs across cities.</p><p><strong>Conclusion: </strong>The overall TSCODSA level of CDCs in Sichuan Province is relatively low, with pronounced disparities in support capability across different economic zones, indicating imbalanced development. The evaluation system proposed in this study effectively reflects the level of TSCODSA of CDCs in various cities of Sichuan Province.</p>","PeriodicalId":9012,"journal":{"name":"BMC Health Services Research","volume":"25 1","pages":"301"},"PeriodicalIF":3.0000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11849156/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Health Services Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12913-025-12451-z","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: When the health administration department re-assumed the responsibilities for occupational safety and health supervision and management in 2018, the Chinese government allocated special funds annually to the Centers for Disease Control and Prevention (CDCs) at all levels to enhance their capacity to monitor occupational diseases and hazardous factors. Thus, the CDCs' technical support capacity for occupational disease surveillance and assessment (TSCODSA) has garnered increasing attention. Against this backdrop, we aimed to develop a comprehensive evaluation model to assess the CDCs' TSCODSA, taking the municipal and county-level CDCs in Sichuan Province as an example.
Methods: In 2023, a survey was conducted on the municipal and county-level CDCs across 21 cities (including three autonomous prefectures) in Sichuan Province. Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) was used to evaluate the TSCODSA of these CDCs, combined with the Rank Sum Ratio (RSR) method for classification. The obstacle degree model was used to analyze the primary factors influencing their capacity.
Results: Among the 21 cities of Sichuan Province, only 4 cities (19.05%) had a "good" rating for the TSCODSA, while the remaining 17 cities (80.95%) were classified as either "medium" or "poor". Cities with "good" ratings for the TSCODSA of CDCs were predominantly concentrated in the Chengdu Plain Economic Zone, while cities with "poor" ratings were mainly concentrated in the Northeast Sichuan Economic Zone. Obstacle degree analysis revealed that core capacity building and human resources constitute significant barriers impacting the capacity levels of CDCs across cities.
Conclusion: The overall TSCODSA level of CDCs in Sichuan Province is relatively low, with pronounced disparities in support capability across different economic zones, indicating imbalanced development. The evaluation system proposed in this study effectively reflects the level of TSCODSA of CDCs in various cities of Sichuan Province.
背景:2018年卫生行政部门重新承担职业安全卫生监督管理职责后,中国政府每年向各级疾病预防控制中心划拨专项资金,加强职业病和危险因素监测能力建设。因此,疾病预防控制中心的职业病监测与评估技术支持能力(TSCODSA)日益受到重视。在此背景下,以四川省市县两级疾病预防控制中心为例,建立疾病预防控制中心TSCODSA的综合评价模型。方法:于2023年对四川省21个市(含3个自治州)的市县级疾控中心进行调查。采用TOPSIS (Order Preference by Similarity to a Ideal Solution)方法评价疾病预防控制中心的TSCODSA,并结合秩和比(Rank Sum Ratio, RSR)方法进行分类。采用障碍度模型分析了影响其能力的主要因素。结果:四川省21个城市中,仅有4个城市(19.05%)的TSCODSA为“良好”,其余17个城市(80.95%)的TSCODSA为“中等”或“差”。cdc TSCODSA“好”级城市主要集中在成都平原经济区,“差”级城市主要集中在川东北经济区。障碍度分析表明,核心能力建设和人力资源是影响各城市疾病预防控制中心能力水平的主要障碍。结论:四川省疾控中心TSCODSA总体水平较低,不同经济区域间保障能力差异明显,发展不平衡。本研究提出的评价体系能有效反映四川省各市cdc的TSCODSA水平。
期刊介绍:
BMC Health Services Research is an open access, peer-reviewed journal that considers articles on all aspects of health services research, including delivery of care, management of health services, assessment of healthcare needs, measurement of outcomes, allocation of healthcare resources, evaluation of different health markets and health services organizations, international comparative analysis of health systems, health economics and the impact of health policies and regulations.