ZALA PRMA Limited, Warrington, UK.
Department of Health Policy, Cowdray House, London School of Economics and Political Science, London, UK.
Value Health. 2020 Nov;23(11):1432-1437. doi: 10.1016/j.jval.2020.07.001. Epub 2020 Aug 27.
This study aims to cost and calculate the relative cost-effectiveness of the hypothetical suppression policies found in the Imperial College COVID-19 Response Team model.
Key population-level disease projections in deaths, intensive care unit bed days, and non-intensive care unit bed days were taken from the Imperial College COVID-19 Response Team report of March 2020, which influenced the decision to introduce suppression policies in the United Kingdom. National income loss estimates were from a study that estimated the impact of a hypothetical pandemic on the UK economy, with sensitivity analyses based on projections that are more recent. Individual quality-adjusted life-year (QALY) loss and costed resource use inputs were taken from published sources.
Imperial model projected suppression polices compared to an unmitigated pandemic, even with the most pessimistic national income loss scenarios under suppression (10%), give incremental cost-effectiveness ratios below £50 000 per QALY. Assuming a maximum reduction in national income of 7.75%, incremental cost-effectiveness ratios for Imperial model projected suppression versus mitigation are below 60 000 per QALY.
Results are uncertain and conditional on the accuracy of the Imperial model projections; they are also sensitive to estimates of national income loss. Nevertheless, it would be difficult to claim that the hypothetical Imperial model-projected suppression policies are obviously cost-ineffective relative to the alternatives available. Despite evolving differences between government policy and Imperial model-projected suppression policy, it is hoped this article will provide some early insight into the trade-offs that are involved.
本研究旨在对帝国理工学院 COVID-19 应对小组模型中发现的假设抑制政策进行成本计算和相对成本效益分析。
从帝国理工学院 COVID-19 应对小组 2020 年 3 月的报告中获取关键的人群疾病死亡、重症监护病房床位天数和非重症监护病房床位天数预测数据,这些数据影响了英国实施抑制政策的决策。国家收入损失估计来自一项估计假设大流行对英国经济影响的研究,敏感性分析基于更近期的预测。个体质量调整生命年(QALY)损失和成本资源使用投入取自已发表的资料。
帝国模型预测的抑制政策与未缓解的大流行相比,即使在抑制政策下(10%)最悲观的国家收入损失情景下,增量成本效益比仍低于每 QALY5 万英镑。假设国家收入最大减少 7.75%,帝国模型预测的抑制与缓解相比,增量成本效益比低于每 QALY6 万英镑。
结果不确定,取决于帝国模型预测的准确性;也取决于国家收入损失的估计。尽管如此,要声称假设的帝国模型预测的抑制政策相对于可用的替代方案明显没有成本效益,这将是困难的。尽管政府政策和帝国模型预测的抑制政策之间存在不断演变的差异,但希望本文能为所涉及的权衡提供一些早期的见解。