Impact of spatial misalignment of historical redlining categories on effect estimates in an epidemiologic study of historical redlining and preterm birth inequities
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"My presentation will focus on the impact of spatial misalignment of historical redlining categories on effect estimates in an epidemiologic study of historical redlining and preterm birth (PTB) in North Carolina. We assembled a retrospective, administrative cohort of singleton births in NC from 2003-2015, linking geocoded residences at time of delivery to Mapping Inequality’s HOLC polygons. As the gold standard for exposure assignment, eligible births were assigned HOLC grade A (Best), B (Still desirable), C (Declining), or D (Hazardous) at the induvial level. The additional exposure metrics applied to generate the effect estimates between historical redlining in North Carolina and PTB are derived from Monica’s presentation (i.e., majority, weighted, and centroid within) for the geographic units of interest (i.e., block group, census tract, and ZCTA). We compare the effect estimates produced using the individual level for exposure assignment versus other larger geographic spatial units. "