Integrating the Carbon Footprint Into Economic Modelling in France: The Example of the Healthcare Pathway for Chronic Lymphocytic Leukemia

Author(s)

Baffert S1, Cabannes-Hamy A2, Egnell M3, Alaoui E1, Arcelin T1, Elong A4, Mulot A4, Bourjot V4, Inchiappa L5, Durand-Zaleski I6, Besson C2
1CEMKA, Bourg-la-Reine, France, 2Centre Hospitalier de Versailles, Versailles, France, 3Consultant, Paris, France, 4Janssen, Issy les Moulineaux, France, 5Centre Antoine Lacassagne Nice /Institut Paoli-Calmettes, Marseille, France, 6Assistance Publique-Hôpitaux de Paris, Paris, France

Presentation Documents

OBJECTIVES: Nowadays, the carbon footprint of a healthcare product is not included in the health technology assessment process in France. Environmental factors will become increasingly important in the decisions taken by health authorities, as the recently published institutional roadmaps suggest.

The aim of this research is to assess the feasibility of integrating the carbon footprint indicator into medico-economic assessments and to estimate the carbon footprint of the different first line CLL treatments in France.

METHODS: The various methods of integrating carbon impact into the results of a medico-economic study were analysed through a literature review, which also facilitated the structural choices for the modelling and enabled the research for emission factor data. An economic model combining costs and carbon emissions was developed to compare various healthcare pathways associated with different treatment options in chronic lymphocytic leukaemia (CLL).

RESULTS: The incremental cost-carbon ratio, expressed as a cost per unit of CO2 equivalent (CO2e) avoided, can therefore be calculated, making it possible to rank the various treatments proposed in the first line of CLL according to their environmental impact, in relation to their costs. The availability of French data on the emission factors associated with the different steps of the treatment pathway is currently an obstacle to the development of these models and is associated with a high degree of uncertainty. In addition, the lack of data on the life cycle analysis of treatment limits the robustness of the results at this stage.

CONCLUSIONS: The publication of guidelines on integrating the carbon criterion into health technology assessments and the availability of more comprehensive emission factor data should enable decision-makers to use these models more widely. To date, the development of this type of model can inform the various stakeholders and raise their awareness of the environmental challenges facing healthcare.

Conference/Value in Health Info

2024-11, ISPOR Europe 2024, Barcelona, Spain

Value in Health, Volume 27, Issue 12, S2 (December 2024)

Code

EE51

Topic

Economic Evaluation, Study Approaches

Topic Subcategory

Cost-comparison, Effectiveness, Utility, Benefit Analysis, Decision Modeling & Simulation, Literature Review & Synthesis

Disease

Oncology

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