Author
Listed:
- Yi Hsuan Chen
- Milad Karimi
- Maureen P M H Rutten-van Mölken
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.
Suggested Citation
Yi Hsuan Chen & Milad Karimi & Maureen P M H Rutten-van Mölken, 2020.
"The disease burden of multimorbidity and its interaction with educational level,"
PLOS ONE, Public Library of Science, vol. 15(12), pages 1-18, December.
Handle:
RePEc:plo:pone00:0243275
DOI: 10.1371/journal.pone.0243275
Download full text from publisher
Citations
Citations are extracted by the
CitEc Project, subscribe to its
RSS feed for this item.
Cited by:
- Karimi, Milad & Tsiachristas, Apostolos & Looman, Willemijn & Stokes, Jonathan & Galen, Mirte van & Rutten-van Mölken, Maureen, 2021.
"Bundled payments for chronic diseases increased health care expenditure in the Netherlands, especially for multimorbid patients,"
Health Policy, Elsevier, vol. 125(6), pages 751-759.
- Sterre S. Bour & Lena H. A. Raaijmakers & Erik W. M. A. Bischoff & Lucas M. A. Goossens & Maureen P. M. H. Rutten-van Mölken, 2023.
"How Can a Bundled Payment Model Incentivize the Transition from Single-Disease Management to Person-Centred and Integrated Care for Chronic Diseases in the Netherlands?,"
IJERPH, MDPI, vol. 20(5), pages 1-20, February.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0243275. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.