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多种疾病负担及其与教育水平的相互作用。

The disease burden of multimorbidity and its interaction with educational level.

机构信息

Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.

Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, The Netherlands.

出版信息

PLoS One. 2020 Dec 3;15(12):e0243275. doi: 10.1371/journal.pone.0243275. eCollection 2020.

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.

摘要

简介

制定充分应对多种疾病的政策至关重要。为了了解多种疾病的实际负担,本研究旨在:1)估计荷兰多种疾病的流行趋势;2)研究多种疾病与身心健康结果和医疗保健成本之间的关联;3)调查多种疾病与健康结果之间的关联如何与社会经济地位(SES)相互作用。

方法

患病率估计值来自 2007-2016 年期间的全国代表性药房数据库。在 2009-2015 年的索赔数据固定效应回归模型中估算对成本的影响。身心健康数据和 SES 来自 2017 年全国健康调查,其中使用 Katz-10 来衡量日常生活活动(ADL)的限制,使用心理健康量表(MHI)来衡量心理健康。SES 由教育程度近似。使用广义线性模型(ADL 的两部分模型)来分析健康数据。在所有模型中,都包含多种疾病存在或不存在的指示变量或慢性疾病数量的分类变量。将多种疾病和教育程度的交互项添加到前面提到的模型中。

结果

在过去十年中,患有多种疾病的人数增加了 1.6%。有三种或三种以上疾病的人数增加了+2.1%。患有多种疾病的人身心健康状况明显差于没有多种疾病的人。对于 ADL,在最低教育水平下,多种疾病的影响比在最高教育水平下大三倍。对于 MHI,在最低教育水平下,多种疾病的影响比在最高教育水平下大两倍。每增加一种慢性疾病,健康状况的恶化就会更大。同样,对于成本,也没有证据表明额外的疾病会产生递减的影响。患有多种疾病的患者的总医疗保健成本平均比患有单一疾病的患者高 874 欧元。

结论

多种疾病对健康和成本的影响在病情较重和受教育程度较低的人群中似乎更大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eed6/7714131/b6973b0d5657/pone.0243275.g001.jpg

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