Prevalence of multimorbidity in community settings: A systematic review and meta-analysis of observational studies.

HICs LMICs Multimorbidity prevalence

Journal

Journal of comorbidity
ISSN: 2235-042X
Titre abrégé: J Comorb
Pays: England
ID NLM: 101693146

Informations de publication

Date de publication:
Historique:
received: 07 03 2019
accepted: 30 07 2019
entrez: 7 9 2019
pubmed: 7 9 2019
medline: 7 9 2019
Statut: epublish

Résumé

With ageing world populations, multimorbidity (presence of two or more chronic diseases in the same individual) becomes a major concern in public health. Although multimorbidity is associated with age, its prevalence varies. This systematic review aimed to summarise and meta-analyse the prevalence of multimorbidity in high, low- and middle-income countries (HICs and LMICs). Studies were identified by searching electronic databases (Medline, Embase, PsycINFO, Global Health, Web of Science and Cochrane Library). The term 'multimorbidity' and its various spellings were used, alongside 'prevalence' or 'epidemiology'. Quality assessment employed the Newcastle-Ottawa scale. Overall and stratified analyses according to multimorbidity operational definitions, HICs/LMICs status, gender and age were performed. A random-effects model for meta-analysis was used. Seventy community-based studies (conducted in 18 HICs and 31 LMICs) were included in the final sample. Sample sizes ranged from 264 to 162,464. The overall pooled prevalence of multimorbidity was 33.1% (95% confidence interval (CI): 30.0-36.3%). There was a considerable difference in the pooled estimates between HICs and LMICs, with prevalence being 37.9% (95% CI: 32.5-43.4%) and 29.7% (26.4-33.0%), respectively. Heterogeneity across studies was high for both overall and stratified analyses ( A large proportion of the global population, especially those aged 65+, is affected by multimorbidity. To allow accurate estimations of disease burden, and effective disease management and resources distribution, a standardised operationalisation of multimorbidity is needed.

Sections du résumé

BACKGROUND BACKGROUND
With ageing world populations, multimorbidity (presence of two or more chronic diseases in the same individual) becomes a major concern in public health. Although multimorbidity is associated with age, its prevalence varies. This systematic review aimed to summarise and meta-analyse the prevalence of multimorbidity in high, low- and middle-income countries (HICs and LMICs).
METHODS METHODS
Studies were identified by searching electronic databases (Medline, Embase, PsycINFO, Global Health, Web of Science and Cochrane Library). The term 'multimorbidity' and its various spellings were used, alongside 'prevalence' or 'epidemiology'. Quality assessment employed the Newcastle-Ottawa scale. Overall and stratified analyses according to multimorbidity operational definitions, HICs/LMICs status, gender and age were performed. A random-effects model for meta-analysis was used.
RESULTS RESULTS
Seventy community-based studies (conducted in 18 HICs and 31 LMICs) were included in the final sample. Sample sizes ranged from 264 to 162,464. The overall pooled prevalence of multimorbidity was 33.1% (95% confidence interval (CI): 30.0-36.3%). There was a considerable difference in the pooled estimates between HICs and LMICs, with prevalence being 37.9% (95% CI: 32.5-43.4%) and 29.7% (26.4-33.0%), respectively. Heterogeneity across studies was high for both overall and stratified analyses (
CONCLUSION CONCLUSIONS
A large proportion of the global population, especially those aged 65+, is affected by multimorbidity. To allow accurate estimations of disease burden, and effective disease management and resources distribution, a standardised operationalisation of multimorbidity is needed.

Identifiants

pubmed: 31489279
doi: 10.1177/2235042X19870934
pii: 10.1177_2235042X19870934
pmc: PMC6710708
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

2235042X19870934

Déclaration de conflit d'intérêts

Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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Auteurs

Hai Nguyen (H)

Institute of Psychiatry, Psychology and Neuroscience, Health Service and Population Research Department, King's College London, London, UK.

Gergana Manolova (G)

Institute of Psychiatry, Psychology and Neuroscience, Health Service and Population Research Department, King's College London, London, UK.

Christina Daskalopoulou (C)

Institute of Psychiatry, Psychology and Neuroscience, Health Service and Population Research Department, King's College London, London, UK.

Silia Vitoratou (S)

Institute of Psychiatry, Psychology and Neuroscience, Health Service and Population Research Department, King's College London, London, UK.

Martin Prince (M)

Institute of Psychiatry, Psychology and Neuroscience, Health Service and Population Research Department, King's College London, London, UK.

A Matthew Prina (AM)

Institute of Psychiatry, Psychology and Neuroscience, Health Service and Population Research Department, King's College London, London, UK.

Classifications MeSH