Understanding Your Community’s Health
Helping Local Communities to Better Understand Their Population
When conducting credible surveys, particularly those supporting health surveillance initiatives, one can no longer ignore the coverage inaccuracies nor the exorbitant cost implications of the traditional sampling methodologies. It is from the above perspective that CHESS was created, to provide a system that helps improve coverage challenges for smaller areas while still providing a cost-effective solution.
Perfect Coverage
Our ability to target small area geographies provides the perfect sampling frame needed for your research.
Multi-Modal Touchpoints
Our multi-modal touchpoints improve response rate and representation of your research.
Manage Your Cost
Our experience in working and understanding response behavior via different modes and their impact on cost will benefit your research.
We Understand Your Challenges
- Research costs are perceived to be too high to achieve the desired sample size for reliable, defensible, and affordable assessments of community health needs when sampling smaller than state-based frames.
- Project funding allotments may be too low for RDD telephone data collection in small areas, or the number of interviews is reduced to stay within maximum budgets.
- Traditional RDD sampling has faced challenges with representative coverage in small areas due to inward and outward migration of residents who keep the same mobile phone number as they move about the country. This reduces the incidence of qualification and increases cost.
- An increase in call blocking technology has created further declines in contact and response rates with calling efforts alone.
- Sampling fatigue can also occur when sampling the same small area often, even annually as respondents could be in the sample repeatedly.
