Identifying longitudinal clusters of multimorbidity in an urban setting: A population-based cross-sectional study.

ABSTRACT:

Background

Globally, there is increasing research on clusters of multimorbidity, but few studies have investigated multimorbidity in urban contexts characterised by a young, multi-ethnic, deprived populations. This study identified clusters of associative multimorbidity in an urban setting.

Methods

This is a population-based retrospective cross-sectional study using electronic health records of all adults aged 18 years and over, registered between April 2005 to May 2020 in general practices in one inner London borough. Multiple correspondence analysis and cluster analysis was used to identify groups of multimorbidity from 32 long-term conditions (LTCs).

Results

The population included 41 general practices with 826,936 patients registered between 2005 and 2020, with me

SUBMITTER: Bisquera A 

PROVIDER: S-EPMC8454750 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature