Abstract
Introduction
Policies to adequately respond to the rise in multimorbidity have top-priority. To understand the actual burden of multimorbidity, this study aimed to: 1) estimate the trend in prevalence of multimorbidity in the Netherlands, 2) study the association between multimorbidity and physical and mental health outcomes and healthcare cost, and 3) investigate how the association between multimorbidity and health outcomes interacts with socio-economic status (SES).
Methods
Prevalence estimates were obtained from a nationally representative pharmacy database over 2007–2016. Impact on costs was estimated in a fixed effect regression model on claims data over 2009–2015. Data on physical and mental health and SES were obtained from the National Health Survey in 2017, in which the Katz-10 was used to measure limitations in activities of daily living (ADL) and the Mental Health Inventory (MHI) to measure mental health. SES was approximated by the level of education. Generalized linear models (2-part models for ADL) were used to analyze the health data. In all models an indicator variable for the presence or absence of multimorbidity was included or a categorical variable for the number of chronic conditions. Interactions terms of multimorbidity and educational level were added into the previously mentioned models.
Results
Over the past ten years, there was an increase of 1.6%-point in the percentage of people with multimorbidity. The percentage of people with three or more conditions increased with +2.1%-point. People with multimorbidity had considerably worse physical and mental health outcomes than people without multimorbidity. For the ADL, the impact of multimorbidity was three times greater in the lowest educational level than in the highest educational level. For the MHI, the impact of multimorbidity was two times greater in the lowest than in the highest educational level. Each additional chronic condition was associated with a greater worsening in health outcomes. Similarly, for costs, where there was no evidence of a diminishing impact of additional conditions either. In patients with multimorbidity total healthcare costs were on average €874 higher than in patients with a single morbidity.
Conclusion
The impact of multimorbidity on health and costs seems to be greater in the sicker and lower educated population.
Publisher
Public Library of Science (PLoS)
Reference65 articles.
1. Multimorbidity and the inequalities of global ageing: a cross-sectional study of 28 countries using the World Health Surveys;S Afshar;BMC public health,2015
2. ICARE4EU: improving care for people with multiple chronic conditions in Europe;M Rijken;Eurohealth,2013
3. Effect of Chronic Diseases and Multimorbidity on Survival and Functioning in Elderly Adults;D Rizzuto;Journal of the American Geriatrics Society,2017
4. Multimorbidity and mortality in older adults: a systematic review and meta-analysis;Bruno Pereira Nunes;Archives of Gerontology and Geriatrics,2016
5. Multimorbidity, polypharmacy, referrals, and adverse drug events: are we doing things well?;A Calderón-Larrañaga;The British journal of general practice: the journal of the Royal College of General Practitioners,2012
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