Question
Does tract resolution add information?
We compare direct tract measures with direct community-area labels for the same condition and period.
Explore this section →Chicago Health Map geographic-resolution study
How we tested whether tract-level health-system data add geographic information
A transparent account of the data, denominators, statistical estimands, uncertainty methods, results, and interpretation boundaries behind the aggregate review analysis.
Chicago Health Map describes EHR-diagnosed proportions among adults observed in participating CAPriCORN health systems. The study evaluates whether those data can complement public-health surveillance at smaller geographic scales. It does not treat them as population prevalence.
Methods
Every estimand is explicit
Pooling, variance partitioning, rank gaps, quartiles, cluster bootstrap uncertainty, and spatial methods are documented.
Explore this section →Boundary
Supplement, not replace
Health-system EHR data describe diagnoses among observed adults. Population surveillance remains the basis for population inference.
Explore this section →35.3%hypertension tract quartiles disagreed with community-area labels
50.1%COPD tract quartiles disagreed with community-area labels
782tracts in the primary Chicago boundary frame