Comprehensive evaluation of technical support capacity for occupational disease surveillance and assessment of CDCs in Sichuan Province, China
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View abstract on PubMed
Summary
This summary is machine-generated.Occupational disease surveillance in Sichuan Province shows low technical support capacity among Centers for Disease Control and Prevention (CDCs), with significant regional disparities. Core capacity and human resources are key barriers to improving this crucial public health function.
Area Of Science
- Public Health
- Occupational Health
- Health Services Research
Background
- China's government allocated funds in 2018 to enhance occupational safety and health monitoring by Centers for Disease Control and Prevention (CDCs).
- The technical support capacity for occupational disease surveillance and assessment (TSCODSA) of CDCs is increasingly important.
- This study focuses on evaluating TSCODSA in Sichuan Province.
Purpose Of The Study
- To develop a comprehensive evaluation model for assessing CDCs' TSCODSA.
- To analyze the TSCODSA of municipal and county-level CDCs in Sichuan Province.
Main Methods
- A survey was conducted in 2023 on CDCs across 21 cities in Sichuan Province.
- Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Rank Sum Ratio (RSR) were used for evaluation and classification.
- The obstacle degree model identified factors limiting TSCODSA.
Main Results
- Only 19.05% of cities achieved a "good" TSCODSA rating; 80.95% were rated "medium" or "poor".
- Geographic disparities were observed, with higher ratings in the Chengdu Plain Economic Zone and lower ratings in the Northeast Sichuan Economic Zone.
- Core capacity building and human resources were identified as major obstacles.
Conclusions
- The overall TSCODSA in Sichuan Province is low, with significant regional imbalances in development.
- The developed evaluation system effectively assesses TSCODSA levels across different cities.
- Addressing capacity building and human resource limitations is crucial for improving occupational disease surveillance.
Keywords:
Analytical hierarchy process approach(AHP) Center for disease control and Prevention(CDC) Criteria importance through the intercriteria Correlation(CRITIC) Obstacle model Occupational disease surveillance and assessment Rank sum Ratio (RSR) Technique for order preference by similarity to an ideal solution (TOPSIS)
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