Modeling the Potential Impact of Missing Race and Ethnicity Data in Infectious Disease Surveillance Systems on Disparity Measures: Scenario Analysis of Different Imputation Strategies.

ABSTRACT:

Background

Monitoring progress toward population health equity goals requires developing robust disparity indicators. However, surveillance data gaps that result in undercounting racial and ethnic minority groups might influence the observed disparity measures.

Objective

This study aimed to assess the impact of missing race and ethnicity data in surveillance systems on disparity measures.

Methods

We explored variations in missing race and ethnicity information in reported annual chlamydia and gonorrhea diagnoses in the United States from 2007 to 2018 by state, year, reported sex, and infection. For diagnoses with incomplete demographic information in 2018, we estimated disparity measures (relative rate ratio and rate difference) with 5 imputation scenarios compared wi

SUBMITTER: Ansari B 

PROVIDER: S-EPMC9685511 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature