To generate a minimum common dataset of health care costs (i.e. health-care services and goods/products) for EU countries

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To develop a costing methodology and methodological recommendations for computing homogeneous unit costs across EU countries, that in the long-term, can evolve into a common European costing methodology for economic evaluation.

Deliverable D3.1: Guidelines for cost definitions and harmonization of cost accounting methodologies for economic evaluation [PDF]

García-Mochón L, Špacírová Z, Espín J (2021) Costing methodologies in European economic evaluation guidelines: commonalities and divergences. European Journal of Health Economics. doi: 10.1007/s10198-021-01414-w

Appropriate data sources will be identified and costs will be collected and integrated in a common EU direct cost database for economic evaluation of health interventions. The selection of data will be made by validating and adjusting existing available data with the agreed costing methodology.

Deliverable D3.2: Database (final version) with the initial core dataset of costs and the User Manual; Final version of the Guidelines; List of standard unit costs with country values [PDF]

The EU HCCD provides a core dataset of costs across countries. It allows analysis of variations in costs within/across countries (taking into account differences between healthcare systems and other factors) and health economic evaluations (by transfer of economic evaluation analysis and models across countries). Additionally, it facilitates multi-country studies and the adaptation of economic evaluation studies from country to country by reducing the time/costs of finding healthcare costs.

Špacírová Z, Epstein D, García-Mochón L et al. (2020) A general framework for classifying costing methods for economic evaluation of health care. European Journal of Health Economics 21, 529–542 [https://doi.org/10.1007/s10198-019-01157-9]

A costing methodology will be developed based on a literature review, the adaptation and synthesis of existing methodologies and a posterior process of discussion and consensus

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 779312