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比较修正后的社会核算矩阵框架与传统间接非医疗成本报告方法的分析和结果。

Comparing the Analysis and Results of a Modified Social Accounting Matrix Framework with Conventional Methods of Reporting Indirect Non-Medical Costs.

机构信息

HEBO bv, Antwerpen, Belgium.

The University Medical Center Groningen, Groningen, The Netherlands.

出版信息

Pharmacoeconomics. 2021 Feb;39(2):257-269. doi: 10.1007/s40273-020-00978-4. Epub 2020 Nov 25.

Abstract

BACKGROUND

Assessing the societal perspective in economic evaluations of new interventions requires estimates of indirect non-medical costs caused by the disease. Different methods exist for measuring the labor input function as a surrogate for these costs. They rarely specify the effect of health on labor and who gains and who loses money. Social accounting matrix (SAM) is an established framework that evaluates public policies with multiple perspectives that could help.

OBJECTIVES

We evaluated the use of a modified SAM to assess money flows between different economic agents resulting in economic transactions following policy changes of medical interventions.

METHODS

We compared conventional methods of measuring indirect non-medical costs related to rotavirus vaccination in the Netherlands with a modified SAM framework. To compare the outcome of each method, we calculated returns on investment (ROI) as the net amount of money per euro invested in the vaccine. One-way and probabilistic sensitivity analyses were carried out for each method, focusing on critical variables with the largest impact on indirect cost estimates.

RESULTS

The ROI was higher for the modified SAM (1.33) than for the conventional methods assessing income calculations (range - 0.178 to 1.22). Probabilistic sensitivity analyses showed wide distributions in the ROI estimates, with variation in the variable impact on the indirect cost results per method selected.

CONCLUSIONS

In contrast to conventional methods, the SAM approach provides detailed and comprehensive assessments of the impact of new interventions on the indirect non-medical costs and the financial interactions between agents, disclosing useful information for different stakeholders.

摘要

背景

评估新干预措施的经济评估中的社会视角需要估计疾病引起的间接非医疗成本。有不同的方法可以衡量劳动力投入函数作为这些成本的替代指标。它们很少具体说明健康对劳动力的影响,以及谁赚钱,谁赔钱。社会核算矩阵(SAM)是一个成熟的框架,可以从多个角度评估公共政策,这可能会有所帮助。

目的

我们评估了使用修改后的 SAM 来评估医疗干预政策变化后导致经济交易的不同经济主体之间的资金流动。

方法

我们比较了荷兰常规方法和修改后的 SAM 框架来衡量轮状病毒疫苗接种相关的间接非医疗成本。为了比较每种方法的结果,我们计算了投资回报率(ROI),即投资于疫苗的每欧元的净货币量。对每种方法进行了单因素和概率敏感性分析,重点关注对间接成本估计影响最大的关键变量。

结果

修改后的 SAM 的 ROI(1.33)高于评估收入计算的常规方法(范围为-0.178 至 1.22)。概率敏感性分析表明,ROI 估计值的分布范围很广,每种方法中所选变量对间接成本结果的影响存在差异。

结论

与常规方法相比,SAM 方法提供了对新干预措施对间接非医疗成本的影响以及各主体之间财务互动的详细和全面评估,为不同利益相关者提供了有用的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc4f/7867525/6037b9b4dcf2/40273_2020_978_Fig1_HTML.jpg

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