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Definitions and Prevalence of Multimorbidity in Large Database Studies: A Scoping Review

Background: Multimorbidity presents a key challenge to healthcare systems globally. However, heterogeneity in the definition of multimorbidity and design of epidemiological studies results in difficulty in comparing multimorbidity studies. This scoping review aimed to describe multimorbidity prevale...

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Autores principales: Chua, Ying Pin, Xie, Ying, Lee, Poay Sian Sabrina, Lee, Eng Sing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916224/
https://www.ncbi.nlm.nih.gov/pubmed/33572441
http://dx.doi.org/10.3390/ijerph18041673
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author Chua, Ying Pin
Xie, Ying
Lee, Poay Sian Sabrina
Lee, Eng Sing
author_facet Chua, Ying Pin
Xie, Ying
Lee, Poay Sian Sabrina
Lee, Eng Sing
author_sort Chua, Ying Pin
collection PubMed
description Background: Multimorbidity presents a key challenge to healthcare systems globally. However, heterogeneity in the definition of multimorbidity and design of epidemiological studies results in difficulty in comparing multimorbidity studies. This scoping review aimed to describe multimorbidity prevalence in studies using large datasets and report the differences in multimorbidity definition and study design. Methods: We conducted a systematic search of MEDLINE, EMBASE, and CINAHL databases to identify large epidemiological studies on multimorbidity. We used the Preferred Reporting Items for Systematic Reviews and Meta-analysis Extension for Scoping Reviews (PRISMA-ScR) protocol for reporting the results. Results: Twenty articles were identified. We found two key definitions of multimorbidity: at least two (MM2+) or at least three (MM3+) chronic conditions. The prevalence of multimorbidity MM2+ ranged from 15.3% to 93.1%, and 11.8% to 89.7% in MM3+. The number of chronic conditions used by the articles ranged from 15 to 147, which were organized into 21 body system categories. There were seventeen cross-sectional studies and three retrospective cohort studies, and four diagnosis coding systems were used. Conclusions: We found a wide range in reported prevalence, definition, and conduct of multimorbidity studies. Obtaining consensus in these areas will facilitate better understanding of the magnitude and epidemiology of multimorbidity.
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spelling pubmed-79162242021-03-01 Definitions and Prevalence of Multimorbidity in Large Database Studies: A Scoping Review Chua, Ying Pin Xie, Ying Lee, Poay Sian Sabrina Lee, Eng Sing Int J Environ Res Public Health Review Background: Multimorbidity presents a key challenge to healthcare systems globally. However, heterogeneity in the definition of multimorbidity and design of epidemiological studies results in difficulty in comparing multimorbidity studies. This scoping review aimed to describe multimorbidity prevalence in studies using large datasets and report the differences in multimorbidity definition and study design. Methods: We conducted a systematic search of MEDLINE, EMBASE, and CINAHL databases to identify large epidemiological studies on multimorbidity. We used the Preferred Reporting Items for Systematic Reviews and Meta-analysis Extension for Scoping Reviews (PRISMA-ScR) protocol for reporting the results. Results: Twenty articles were identified. We found two key definitions of multimorbidity: at least two (MM2+) or at least three (MM3+) chronic conditions. The prevalence of multimorbidity MM2+ ranged from 15.3% to 93.1%, and 11.8% to 89.7% in MM3+. The number of chronic conditions used by the articles ranged from 15 to 147, which were organized into 21 body system categories. There were seventeen cross-sectional studies and three retrospective cohort studies, and four diagnosis coding systems were used. Conclusions: We found a wide range in reported prevalence, definition, and conduct of multimorbidity studies. Obtaining consensus in these areas will facilitate better understanding of the magnitude and epidemiology of multimorbidity. MDPI 2021-02-09 2021-02 /pmc/articles/PMC7916224/ /pubmed/33572441 http://dx.doi.org/10.3390/ijerph18041673 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Chua, Ying Pin
Xie, Ying
Lee, Poay Sian Sabrina
Lee, Eng Sing
Definitions and Prevalence of Multimorbidity in Large Database Studies: A Scoping Review
title Definitions and Prevalence of Multimorbidity in Large Database Studies: A Scoping Review
title_full Definitions and Prevalence of Multimorbidity in Large Database Studies: A Scoping Review
title_fullStr Definitions and Prevalence of Multimorbidity in Large Database Studies: A Scoping Review
title_full_unstemmed Definitions and Prevalence of Multimorbidity in Large Database Studies: A Scoping Review
title_short Definitions and Prevalence of Multimorbidity in Large Database Studies: A Scoping Review
title_sort definitions and prevalence of multimorbidity in large database studies: a scoping review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916224/
https://www.ncbi.nlm.nih.gov/pubmed/33572441
http://dx.doi.org/10.3390/ijerph18041673
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