首页> 外文期刊>Diabetic medicine: A journal of the British Diabetic Association >Projection of the burden of type 2 diabetes mellitus in Germany: A demographic modelling approach to estimate the direct medical excess costs from 2010 to 2040
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Projection of the burden of type 2 diabetes mellitus in Germany: A demographic modelling approach to estimate the direct medical excess costs from 2010 to 2040

机译:德国2型糖尿病的负担预测:一种人口模型方法,用于估算2010年至2040年的直接医疗超支费用

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Aim: To model the future costs of Type 2 diabetes in Germany, taking into account demographic changes, disease dynamics and undiagnosed cases. Methods: Using a time-discrete Markov model, the prevalence of diabetes (diagnosed/undiagnosed) between 2010 and 2040 was estimated and linked with cost weights. Demographic, epidemiological and economic scenarios were modelled. Inputs to the model included the official population forecasts, prevalence, incidence and mortality rates, proportions of undiagnosed cases, health expenditure and cost ratios of an individual with (diagnosed/undiagnosed) diabetes to an individual without diabetes. The outcomes were the case numbers and associated annual direct medical excess costs of Type 2 diabetes from a societal perspective in 2010?. Results: In the base case, the case numbers of diabetes will grow from 5 million (2.8 million diagnosed) in 2010 to a maximum of 7.9 million (4.6 million diagnosed) in 2037. From 2010 to 2040, the prevalence rate amonf individuals ≥40 years old will increase from 10.5 to 16.3%. The annual costs of diabetes will increase by 79% from ?11.8 billion in 2010 to ?21.1 billion in 2040 (?9.5 billion to ?17.6 billion for diagnosed cases). Conclusions: The projected increase in costs will be attributable to demographic changes and disease dynamics, and will be enhanced by higher per capita costs with advancing age. Better epidemiological and economic data regarding diabetes care in Germany would improve the forecasting accuracy. The method used in the present study can anticipate the effects of alternative policy scenarios and can easily be adapted to other chronic diseases.
机译:目的:在考虑人口统计变化,疾病动态和未确诊病例的基础上,对德国2型糖尿病的未来成本进行建模。方法:使用时间离散马尔可夫模型,估计2010年至2040年之间的糖尿病患病率(已诊断/未诊断),并与成本权重相关联。对人口,流行病学和经济情景进行了建模。该模型的输入包括官方的人口预测,患病率,发病率和死亡率,未诊断病例的比例,患有(已诊断/未诊断)糖尿病的个体与未患有糖尿病的个体的健康支出和成本比。从社会角度来看,结果是2型糖尿病的病例数和相关的年度直接医疗超额费用?结果:在基本病例中,糖尿病的病例数将从2010年的500万(诊断为280万)增加到2037年的790万(诊断为460万)。从2010年到2040年,≥40的阿蒙族个体患病率岁的比例将从10.5%增加到16.3%。糖尿病的年度费用将从2010年的118亿欧元增加到2040年的211亿欧元,增长79%(诊断病例从95亿欧元增加到176亿欧元)。结论:预计的成本增长将归因于人口变化和疾病动态,并且随着年龄的增长,人均成本会增加。在德国,有关糖尿病护理的更好的流行病学和经济数据将提高预测的准确性。本研究中使用的方法可以预期替代政策方案的效果,并且可以轻松地适应其他慢性疾病。

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