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. Author manuscript; available in PMC: 2024 Nov 20.
Published in final edited form as: BMJ Public Health. 2024;2(2):10.1136/bmjph-2024-001666. doi: 10.1136/bmjph-2024-001666

Figure 2: Characterization of the NYU Langone Patient Sample and Comparison of NYU EHR-Based to Gold Standard Diabetes Prevalence Estimates for Young Adults Aged 18–44 Years by New York City PUMA Neighborhood.

Figure 2:

Panel A: Proportion of general population captured within the EHR sample by NYC PUMA, calculated by dividing NYU Langone patient counts by the total NYC PUMA population estimates from the American Community Survey 2019 5-year data, obtained through IPUMS USA. Panel B: Comparison of NYU EHR-based to gold standard diabetes prevalence estimates. Each point represents a PUMA neighborhood. EHR estimates are defined using NYU Langone Health 2019 data. The gold standard estimate is defined using NYC CHS 2015–2020 data. Panel C: Comparison of relative bias in NYU EHR-based prevalence estimates vs. proportion of the general population captured within the EHR sample. Relative bias calculated as the percent change between the gold standard and EHR-based prevalence estimate for each NYC PUMA neighborhood.