Who should use the CODI Prevalence Queries?
Researchers typically use the CODI prevalence queries (CODI-PQs) and should review the CODI-PQs implementation guidance links below for detailed information.
What are CODI-PQs?
CODI-PQs provide a suite of tools to calculate population obesity prevalence estimates for youth and teens, adults, and households from electronic health record (EHR) data. Statistical weighting is used to reduce non-probability sample bias and produce representative distributions of the populations of interest. Imputation is used to infer missing race/ethnicity and enable estimation across subpopulations.
CODI-PQs use the National Center for Health Statistics (NCHS) Data Presentation Standards for Proportions5 to suppress estimates based on small sample sizes.
Why use CODI-PQs?
CODI-PQs should be used to generate a population estimate of one of the three categories based on a sample of EHR data for a specific geography (e.g., state, state and county, state and ZIP Code Tabulation Areas [ZCTA-3]) and/or subpopulation (e.g., age group, sex, race).