Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2022 Apr 29;12(4):e057017.
doi: 10.1136/bmjopen-2021-057017.

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

Affiliations
Meta-Analysis

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

Iris Szu-Szu Ho et al. BMJ Open. .

Abstract

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 (I2 >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 numberCRD42020172409.

Keywords: epidemiology; general medicine (see internal medicine); geriatric medicine.

PubMed Disclaimer

Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram.
Figure 2
Figure 2
Country of origin of the included studies estimating the prevalence of multimorbidity (except studies from multiple countries).
Figure 3
Figure 3
Relationship between the prevalence of multimorbidity and mean age or number of conditions (the area of points is proportional to inverse variances).
Figure 4
Figure 4
The distribution of prevalence estimates within the subgroups of mean age and number of conditions (forest-like plot for a large review).

References

    1. World Health Organization . Ageing and health, 2018. Available: https://www.who.int/news-room/fact-sheets/detail/ageing-and-health [Accessed cited 2021 April 1].
    1. The Academy of Medical Sciences, . Multimorbidity: a priority for global health research 2018.
    1. Rivera-Almaraz A, Manrique-Espinoza B, Ávila-Funes JA, et al. . Disability, quality of life and all-cause mortality in older Mexican adults: association with multimorbidity and frailty. BMC Geriatr 2018;18:1–9. 10.1186/s12877-018-0928-7 - DOI - PMC - PubMed
    1. Arokiasamy P, Uttamacharya U, Jain K, et al. . The impact of multimorbidity on adult physical and mental health in low- and middle-income countries: what does the study on global ageing and adult health (SAGE) reveal? BMC Med 2015;13:1–16. 10.1186/s12916-015-0402-8 - DOI - PMC - PubMed
    1. Barnett K, Mercer SW, Norbury M, et al. . Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet 2012;380:37–43. 10.1016/S0140-6736(12)60240-2 - DOI - PubMed

Publication types