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Modelling lifetime QALYs and health care costs from different drinking patterns over time: a Markov model

机译:建模随时间变化的不同饮酒方式下的终生QALY和医疗保健费用:马尔可夫模型

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摘要

The negative health consequences of alcohol use and its treatment account for significant health care expenditure worldwide. Long‐term modelling techniques are developed in this paper to establish a link between drinking patterns, health consequences and alcohol treatment effectiveness and cost‐effectiveness. The overall change in health related quality and quantity of life which results from changes in health‐related behaviour is estimated. Specifically, a probabilistic lifetime Markov model is presented where alcohol consumption in grams of alcohol per day and drinking history are used for the categorization of patients into four Markov states. Utility weights are assigned to each drinking state using EQ‐5D scores. Mortality and morbidity estimates are state, gender and age specific, and are alcohol‐related and non‐alcohol‐related. The methodology is tested in a case study. This represents a major development in the techniques traditionally used in alcohol economic models, in which short‐term costs and outcomes are assessed, omitting potential longer term cost savings and improvements in health related quality of life. Assumptions and implications of the approach are discussed. ©
机译:饮酒及其治疗对健康的负面影响造成了全球范围内大量的医疗保健支出。本文开发了长期建模技术,以建立饮酒模式,健康后果以及酒精治疗效果和成本效益之间的联系。估计由健康相关行为的变化导致的与健康相关的生活质量和数量的总体变化。具体而言,提出了概率性终身马尔可夫模型,其中将每天的酒精消耗量(克/天)和饮酒史用于将患者分为四个马尔可夫状态。使用EQ-5D分数将公用事业权重分配给每个饮酒状态。死亡率和发病率估计是针对州,性别和年龄的,并且与酒精有关,与非酒精有关。该方法已在案例研究中进行了测试。这代表了酒精经济模型中传统使用的技术的重大发展,该技术可评估短期成本和结果,从而省去了潜在的长期成本节省并改善了与健康相关的生活质量。讨论了该方法的假设和含义。 ©

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