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Associations between multimorbidity, healthcare utilisation and health status: evidence from 16 European countries

TLDR
It is found that multimorbidity is associated with greater healthcare utilisation, worse self-reported health status, depression and reduced functional capacity in European countries.
Abstract
Background with ageing populations and increasing exposure to risk factors for chronic diseases, the prevalence of chronic disease multimorbidity is rising globally. There is little evidence on the determinants of multimorbidity and its impact on healthcare utilisation and health status in Europe. Methods we used cross-sectional data from the Survey of Health, Ageing and Retirement in Europe (SHARE) in 2011-12, which included nationally representative samples of persons aged 50 and older from 16 European nations. Negative binomial and logistic regression models were used to assess the association between number of chronic diseases and healthcare utilisation, self-perceived health, depression and reduction of functional capacity. Results overall, 37.3% of participants reported multimorbidity; the lowest prevalence was in Switzerland (24.7%), the highest in Hungary (51.0%). The likelihood of having multimorbidity increased substantially with age. Number of chronic conditions was associated with greater healthcare utilisation in both primary (regression coefficient for medical doctor visits = 0.29, 95% CI = 0.27-0.30) and secondary setting (adjusted odds ratio (AOR) for having any hospitalisation in the last year = 1.49, 95% CI = 1.42-1.55) in all countries analysed. Number of chronic diseases was associated with fair/poor health status (AOR 2.13, 95% CI = 2.03-2.24), being depressed (AOR 1.48, 95% CI = 1.42-1.54) and reduced functional capacity (AOR 2.12, 95% CI = 2.02-2.22). Conclusion multimorbidity is associated with greater healthcare utilisation, worse self-reported health status, depression and reduced functional capacity in European countries. European health systems should prioritise improving the management of patients with multimorbidity to improve their health status and increase healthcare efficiency.

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Projections of multi-morbidity in the older population in England to 2035: estimates from the Population Ageing and Care Simulation (PACSim) model

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New horizons in multimorbidity in older adults

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Adherence to treatment and related factors among patients with chronic conditions in primary care: a cross-sectional study

TL;DR: Optimal achievement of appropriate levels of adherence through tailored multifaceted interventions will require attention to the multidimensional factors found in this study, particularly those related to patients’ education and their information needs.
References
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Journal Article

Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010 (vol 380, pg 2197, 2012)

TL;DR: In this article, a comprehensive update of disease burden worldwide incorporating a systematic reassessment of disease and injury-specific epidemiology has been done since the 1990 study, and the authors aimed to calculate disease burden globally and for 21 regions for 1990, 2005, and 2010 with methods to enable meaningful comparisons over time.
Journal ArticleDOI

Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010

Christopher J L Murray, +369 more
- 15 Dec 2012 - 
TL;DR: The results for 1990 and 2010 supersede all previously published Global Burden of Disease results and highlight the importance of understanding local burden of disease and setting goals and targets for the post-2015 agenda taking such patterns into account.
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Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study

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Health and economic burden of the projected obesity trends in the USA and the UK

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Aging with multimorbidity: a systematic review of the literature

TL;DR: Methodological issues in evaluating multimorbidity are discussed as well as future research needs, especially concerning etiological factors, combinations and clustering of chronic diseases, and care models for persons affected by multiple disorders.
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