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Ledwaba-Chapman L, Bisquera A, Gulliford M, et al. Applying resolved and remission codes reduced prevalence of multimorbidity in an urban multi-ethnic population. J Clin Epidemiol. 2021;140:135-148doi: 10.1016/j.jclinepi.2021.09.005.
Ledwaba-Chapman, L., Bisquera, A., Gulliford, M., Dodhia, H., Durbaba, S., Ashworth, M., & Wang, Y. (2021). Applying resolved and remission codes reduced prevalence of multimorbidity in an urban multi-ethnic population. Journal of clinical epidemiology, 140135-148. https://doi.org/10.1016/j.jclinepi.2021.09.005
Ledwaba-Chapman, Lesedi, et al. "Applying resolved and remission codes reduced prevalence of multimorbidity in an urban multi-ethnic population." Journal of clinical epidemiology vol. 140 (2021): 135-148. doi: https://doi.org/10.1016/j.jclinepi.2021.09.005
Ledwaba-Chapman L, Bisquera A, Gulliford M, Dodhia H, Durbaba S, Ashworth M, Wang Y. Applying resolved and remission codes reduced prevalence of multimorbidity in an urban multi-ethnic population. J Clin Epidemiol. 2021 Dec;140:135-148. doi: 10.1016/j.jclinepi.2021.09.005. Epub 2021 Sep 11. PMID: 34517101.
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J Clin Epidemiol. 2021 Dec;140:135-148. doi: 10.1016/j.jclinepi.2021.09.005. Epub 2021 Sep 11.

Applying resolved and remission codes reduced prevalence of multimorbidity in an urban multi-ethnic population.

Journal of clinical epidemiology

Lesedi Ledwaba-Chapman, Alessandra Bisquera, Martin Gulliford, Hiten Dodhia, Stevo Durbaba, Mark Ashworth, Yanzhong Wang

Affiliations

  1. King's College London, School of Population Health & Environmental Sciences, London, UK; NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK. Electronic address: [email protected].
  2. King's College London, School of Population Health & Environmental Sciences, London, UK; NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.
  3. King's College London, School of Population Health & Environmental Sciences, London, UK.

PMID: 34517101 DOI: 10.1016/j.jclinepi.2021.09.005

Abstract

OBJECTIVE: To estimate the prevalence and determinants of multimorbidity in an urban, multi-ethnic area over 15-years and investigate the effect of applying resolved/remission codes on prevalence estimates.

STUDY DESIGN AND SETTING: This is a population-based retrospective cross-sectional study using electronic health records of adults registered between 2005 -2020 in general practices in one inner London borough (n = 826,936). Classification of resolved/remission was based on clinical coding defined by the patient's general practitioner.

RESULTS: The crude and age-adjusted prevalence of multimorbidity over the study period were 21.2% (95% CI: 21.1 -21.3) and 30.8% (30.6 -31.0), respectively. Applying resolved/remission codes decreased the crude and age-adjusted prevalence estimates to 18.0% (95% CI: 17.9 -18.1) and 27.5% (27.4 -27.7). Asthma (53.2%) and depression (20.2%) were responsible for most resolved and remission codes. Substance use (Adjusted Odds Ratio 10.62 [95% CI: 10.30 -10.95]), high cholesterol (2.48 [2.44 -2.53]), and moderate obesity (2.19 [2.15 -2.23]) were the strongest risk factor determinants of multimorbidity outside of advanced age.

CONCLUSION: Our study highlights the importance of applying resolved/remission codes to obtain an accurate prevalence and the increased burden of multimorbidity in a young, urban, and multi-ethnic population. Understanding modifiable risk factors for multimorbidity can assist policymakers in designing effective interventions to reduce progression to multimorbidity.

Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Keywords: Chronic disease; Multimorbidity; Prevalence; Primary care

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