How well are marginalised groups represented in electronic records? A codelist development project and cross-sectional analysis of UK electronic health records.

ABSTRACT:

Objectives

Primary care electronic health records provide a rich source of information for inequalities research. However, the reliability and validity of the research derived from these records depend on the completeness and resolution of the codelists (ie, collections of medical terms/codes) used to identify populations of interest. The aim of this project was to develop comprehensive codelists for identifying people from ethnic minority groups, people with learning disabilities (LDs), people with severe mental illness (SMI) and people who are transgender.

Design

We followed a three-stage process to define and extract relevant codelists. First, groups of interest were defined a priori. Next, relevant clinical codes, relating to the groups, were identified by searching Clin

SUBMITTER: Perchyk T 

PROVIDER: S-EPMC12359504 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature