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Canadian Health Measures Survey: sampling strategy overview
1Household Survey Methods Division, Statistics Canada, Ottawa, Ontario. Suzelle.Giroux@statcan.ca
Health Reports
|January 24, 2008
Summary
The Canadian Health Measures Survey (CHMS) employs a unique sampling strategy to gather health data from 5,000 Canadians aged 6-79. This approach addresses challenges in respondent accessibility and specific data collection needs.
Area of Science:
- Public Health
- Survey Methodology
- Biostatistics
Background:
- The Canadian Health Measures Survey (CHMS) is a vital national health surveillance initiative.
- It collects comprehensive health information through interviews and physical examinations.
Purpose of the Study:
- To present the innovative sampling strategy designed for the CHMS.
- To address specific challenges encountered in large-scale health surveys.
Main Methods:
- Utilizing a nationally representative sample of approximately 5,000 individuals aged 6 to 79.
- Implementing a dual-data collection method: computer-assisted personal interviews and mobile clinic examinations.
- Developing strategies to overcome logistical hurdles, including respondent proximity to clinics and recruitment of specific age groups.
Main Results:
- The proposed sampling strategy is designed to effectively manage the complexities of the CHMS.
- It aims to ensure a representative sample while accommodating practical constraints.
- Specific attention is given to sub-sampling for environmental pollutant exposure measures.
Conclusions:
- The CHMS sampling strategy is a robust framework for collecting critical Canadian health data.
- It demonstrates a proactive approach to methodological challenges in population health surveys.
- The strategy supports the survey's goal of providing timely and relevant health indicators.
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