Effect of timeframes to define long term conditions and sociodemographic factors on prevalence of multimorbidity using disease code frequency in primary care electronic health records: retrospective study.

ABSTRACT:

Objective

To determine the extent to which the choice of timeframe used to define a long term condition affects the prevalence of multimorbidity and whether this varies with sociodemographic factors.

Design

Retrospective study of disease code frequency in primary care electronic health records.

Data sources

Routinely collected, general practice, electronic health record data from the Clinical Practice Research Datalink Aurum were used.

Main outcome measures

Adults (≥18 years) in England who were registered in the database on 1 January 2020 were included. Multimorbidity was defined as the presence of two or more conditions from a set of 212 long term conditions. Multimorbidity prevalence was compared using five definitions. Any disease code recorded in the elect

SUBMITTER: Beaney T 

PROVIDER: S-EPMC10868275 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature