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[Selection of DSP points in second stage and their presentation]
1Institute of Epidemiology & Microbiology, Chinese Academy of Preventive Medicine, Beijing.
Summary
Selecting Disease Surveillance Points (DSP) ensures national health data accuracy. This method accounts for regional disparities, making DSP data representative of the entire population's health status.
Area of Science:
- Public Health
- Biostatistics
- Epidemiology
Context:
- China's diverse socio-economic landscape leads to significant regional variations in healthcare development and population health.
- Ensuring national health surveillance data accurately reflects the health status of the entire population is crucial for effective public health policy.
Purpose:
- To outline the principles and methodology for selecting Disease Surveillance Points (DSP) in China.
- To ensure that data collected from surveillance sites can be reliably extrapolated to infer the health situation of the national population.
Summary:
- The selection of Disease Surveillance Points (DSP) considers geographic distribution, administrative areas, and nine key socio-economic and health indicators (GNP, illiteracy rate, birth rate, infant death rate, crude death rate, age demographics, labor distribution).
- A multistage stratified random sampling (Probability Proportional to Size - PPS) method is employed for DSP selection.
- Approximately 15% of non-qualified points were replaced to mitigate systematic errors and enhance data representativeness.
Impact:
- Validated data from the selected DSP accurately represents the overall health level of China's population.
- The methodology provides a robust framework for national health surveillance system design and implementation.