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Variation in the estimated prevalence of multimorbidity: systematic review and meta-analysis of 193 international studies

OBJECTIVE: (1) To estimate the pooled prevalence of multimorbidity in all age groups, globally. (2) To examine how measurement of multimorbidity impacted the estimated prevalence. METHODS: In this systematic review and meta-analysis, we conducted searches in nine bibliographic databases (PsycINFO, E...

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Autores principales: Ho, Iris Szu-Szu, Azcoaga-Lorenzo, Amaya, Akbari, Ashley, Davies, Jim, Hodgins, Peter, Khunti, Kamlesh, Kadam, Umesh, Lyons, Ronan, McCowan, Colin, Mercer, Stewart W, Nirantharakumar, Krishnarajah, Guthrie, Bruce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9058768/
https://www.ncbi.nlm.nih.gov/pubmed/35487738
http://dx.doi.org/10.1136/bmjopen-2021-057017
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author Ho, Iris Szu-Szu
Azcoaga-Lorenzo, Amaya
Akbari, Ashley
Davies, Jim
Hodgins, Peter
Khunti, Kamlesh
Kadam, Umesh
Lyons, Ronan
McCowan, Colin
Mercer, Stewart W
Nirantharakumar, Krishnarajah
Guthrie, Bruce
author_facet Ho, Iris Szu-Szu
Azcoaga-Lorenzo, Amaya
Akbari, Ashley
Davies, Jim
Hodgins, Peter
Khunti, Kamlesh
Kadam, Umesh
Lyons, Ronan
McCowan, Colin
Mercer, Stewart W
Nirantharakumar, Krishnarajah
Guthrie, Bruce
author_sort Ho, Iris Szu-Szu
collection PubMed
description OBJECTIVE: (1) To estimate the pooled prevalence of multimorbidity in all age groups, globally. (2) To examine how measurement of multimorbidity impacted the estimated prevalence. METHODS: In this systematic review and meta-analysis, we conducted searches in nine bibliographic databases (PsycINFO, Embase, Global Health, Medline, Scopus, Web of Science, Cochrane Library, CINAHL and ProQuest Dissertations and Theses Global) for prevalence studies published between database inception and 21 January 2020. Studies reporting the prevalence of multimorbidity (in all age groups and in community, primary care, care home and hospital settings) were included. Studies with an index condition or those that did not include people with no long-term conditions in the denominator were excluded. Retrieved studies were independently reviewed by two reviewers, and relevant data were extracted using predesigned pro forma. We used meta-analysis to pool the estimated prevalence of multimorbidity across studies, and used random-effects meta-regression and subgroup analysis to examine the association of heterogeneous prevalence estimates with study and measure characteristics. RESULTS: 13 807 titles were screened, of which 193 met inclusion criteria for meta-analysis. The pooled prevalence of multimorbidity was 42.4% (95% CI 38.9% to 46.0%) with high heterogeneity (I(2) >99%). In adjusted meta-regression models, participant mean age and the number of conditions included in a measure accounted for 47.8% of heterogeneity in effect sizes. The estimated prevalence of multimorbidity was significantly higher in studies with older adults and those that included larger numbers of conditions. There was no significant difference in estimated prevalence between low-income or middle-income countries (36.8%) and high-income countries (44.3%), or between self-report (40.0%) and administrative/clinical databases (52.7%). CONCLUSIONS: The pooled prevalence of multimorbidity was significantly higher in older populations and when studies included a larger number of baseline conditions. The findings suggest that, to improve study comparability and quality of reporting, future studies should use a common core conditions set for multimorbidity measurement and report multimorbidity prevalence stratified by sociodemographics. PROSPERO registration number CRD42020172409.
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spelling pubmed-90587682022-05-12 Variation in the estimated prevalence of multimorbidity: systematic review and meta-analysis of 193 international studies Ho, Iris Szu-Szu Azcoaga-Lorenzo, Amaya Akbari, Ashley Davies, Jim Hodgins, Peter Khunti, Kamlesh Kadam, Umesh Lyons, Ronan McCowan, Colin Mercer, Stewart W Nirantharakumar, Krishnarajah Guthrie, Bruce BMJ Open Global Health OBJECTIVE: (1) To estimate the pooled prevalence of multimorbidity in all age groups, globally. (2) To examine how measurement of multimorbidity impacted the estimated prevalence. METHODS: In this systematic review and meta-analysis, we conducted searches in nine bibliographic databases (PsycINFO, Embase, Global Health, Medline, Scopus, Web of Science, Cochrane Library, CINAHL and ProQuest Dissertations and Theses Global) for prevalence studies published between database inception and 21 January 2020. Studies reporting the prevalence of multimorbidity (in all age groups and in community, primary care, care home and hospital settings) were included. Studies with an index condition or those that did not include people with no long-term conditions in the denominator were excluded. Retrieved studies were independently reviewed by two reviewers, and relevant data were extracted using predesigned pro forma. We used meta-analysis to pool the estimated prevalence of multimorbidity across studies, and used random-effects meta-regression and subgroup analysis to examine the association of heterogeneous prevalence estimates with study and measure characteristics. RESULTS: 13 807 titles were screened, of which 193 met inclusion criteria for meta-analysis. The pooled prevalence of multimorbidity was 42.4% (95% CI 38.9% to 46.0%) with high heterogeneity (I(2) >99%). In adjusted meta-regression models, participant mean age and the number of conditions included in a measure accounted for 47.8% of heterogeneity in effect sizes. The estimated prevalence of multimorbidity was significantly higher in studies with older adults and those that included larger numbers of conditions. There was no significant difference in estimated prevalence between low-income or middle-income countries (36.8%) and high-income countries (44.3%), or between self-report (40.0%) and administrative/clinical databases (52.7%). CONCLUSIONS: The pooled prevalence of multimorbidity was significantly higher in older populations and when studies included a larger number of baseline conditions. The findings suggest that, to improve study comparability and quality of reporting, future studies should use a common core conditions set for multimorbidity measurement and report multimorbidity prevalence stratified by sociodemographics. PROSPERO registration number CRD42020172409. BMJ Publishing Group 2022-04-28 /pmc/articles/PMC9058768/ /pubmed/35487738 http://dx.doi.org/10.1136/bmjopen-2021-057017 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Global Health
Ho, Iris Szu-Szu
Azcoaga-Lorenzo, Amaya
Akbari, Ashley
Davies, Jim
Hodgins, Peter
Khunti, Kamlesh
Kadam, Umesh
Lyons, Ronan
McCowan, Colin
Mercer, Stewart W
Nirantharakumar, Krishnarajah
Guthrie, Bruce
Variation in the estimated prevalence of multimorbidity: systematic review and meta-analysis of 193 international studies
title Variation in the estimated prevalence of multimorbidity: systematic review and meta-analysis of 193 international studies
title_full Variation in the estimated prevalence of multimorbidity: systematic review and meta-analysis of 193 international studies
title_fullStr Variation in the estimated prevalence of multimorbidity: systematic review and meta-analysis of 193 international studies
title_full_unstemmed Variation in the estimated prevalence of multimorbidity: systematic review and meta-analysis of 193 international studies
title_short Variation in the estimated prevalence of multimorbidity: systematic review and meta-analysis of 193 international studies
title_sort variation in the estimated prevalence of multimorbidity: systematic review and meta-analysis of 193 international studies
topic Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9058768/
https://www.ncbi.nlm.nih.gov/pubmed/35487738
http://dx.doi.org/10.1136/bmjopen-2021-057017
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