Cost of Carbon in the Total Cost of a Healthcare Procedure: Example of Micro-Costing Study in a French Setting.

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Tác giả: Caroline Abdul Malak, Guillaume Beltramo, Alexandre Benoist, Adrien Bevand, Karine Ferrare, Hervé Frick, Stéphanie Guillot, Catherine Lejeune, Thomas Maldiney, Laurie Marrauld, Paul-Simon Pugliesi, Catherine Renzullo, Serge Ribes, Romain Ter Schiphorst

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: New Zealand : Applied health economics and health policy , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 700680

BACKGROUND: Economic evaluation aims to compare the costs and results of health strategies to inform public decision making. Although sometimes suggested, until now no national evaluation agency has recommended formally incorporating the cost of greenhouse gas (GHG) emissions generated by health interventions into the estimation of healthcare costs. OBJECTIVE: The objective of this study was to test and discuss the feasibility of estimating and including the contribution of GHG emissions cost to the total cost of a surgical intervention, with the example of robot-assisted total knee arthroplasty (RTA), using a micro-costing approach. METHODS: The study was conducted in June 2022 at the William Morey Hospital (France). Data regarding all of the resources (labor, medical equipment, consumables), as well as energy consumption, staff commuting and waste treatment were collected and valued from the hospital point of view. Greenhouse gas emissions were valued using a cost-effectiveness approach. Several sensitivity analyses were performed. RESULTS: The mean cost per patient of an RTA was estimated to be €4755.65, of which €152.64 (3.21 %) would be attributable to GHG emissions. The contribution of GHG emissions in the overall cost of a health intervention was highly dependent on the convention used for the price of carbon. CONCLUSION: Despite persistent theoretical and practical challenges, adding the estimation of GHG emission costs in the economic evaluation of health interventions may provide institutional decision makers with information that allows them to allocate the public healthcare resources more efficiently.
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