Françoise Ducimetière, Dominic Cellier, Isabelle Ray-Coquard, Vincenzo Baldo, Alessandra Buja, Lionel Perrier, Jean-Yves Blay, Carlo Riccardo Rossi, Bertrand Favier, Amaury Martin, Olivier Collard, Mathieu Laramas, Giuseppe Mastrangelo, Patrick Sylvestre Baron, François Noël Gilly, Petrus J. Pauwels, Fadila Farsi, Groupe d'analyse et de théorie économique (GATE Lyon Saint-Étienne), École normale supérieure - Lyon (ENS Lyon)-Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS), Department of Environmental Medicine and Public Health, Universita degli Studi di Padova, Centre Léon Bérard [Lyon], Département d'Oncologie Médicale, Melanoma and Sarcomas Unit, Veneto Institute of Oncology, IOV, IRCCS, Service de Chirurgie Générale et Digestive, Hospices Civils de Lyon (HCL)-Centre Hospitalier Lyon-Sud - RENAPE, Cancéropôle Lyon Auvergne Rhône-Alpes, Department of Pharmacy, Réseau Espace Santé Cancer, Rhône-Alpes, Service d'oncologie médicale, Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble, Institut de Cancérologie de la Loire Lucien Neuwirth, Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Service d'Oncologie Médicale, Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne (GATE Lyon Saint-Étienne), École normale supérieure de Lyon (ENS de Lyon)-Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Padova = University of Padua (Unipd), and Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E)
Background The transferability of economic evaluation in health care is of increasing interest in today’s globalized environment. Here, we propose a methodology for assessing the variability of data elements in cost evaluations in oncology. This method was tested in the context of the European Network of Excellence “Connective Tissues Cancers Network”. Methods Using a database that was previously aimed at exploring sarcoma management practices in Rhône-Alpes (France) and Veneto (Italy), we developed a model to assess the transferability of health cost evaluation across different locations. A nested data structure with 60 final factors of variability (e.g., unit cost of chest radiograph) within 16 variability areas (e.g., unit cost of imaging) within 12 objects (e.g., diagnoses) was produced in Italy and France, separately. Distances between objects were measured by Euclidean distance, Mahalanobis distance, and city-block metric. A hierarchical structure using cluster analysis (CA) was constructed. The objects were also represented by their projections and area of variability through correlation studies using principal component analysis (PCA). Finally, a hierarchical clustering based on principal components was performed. Results CA suggested four clusters of objects: chemotherapy in France; follow-up with relapse in Italy; diagnosis, surgery, radiotherapy, chemotherapy, and follow-up without relapse in Italy; and diagnosis, surgery, and follow-up with or without relapse in France. The variability between clusters was high, suggesting a lower transferability of results. Also, PCA showed a high variability (i.e. lower transferability) for diagnosis between both countries with regard to the quantities and unit costs of biopsies. Conclusion CA and PCA were found to be useful for assessing the variability of cost evaluations across countries. In future studies, regression methods could be applied after these methods to elucidate the determinants of the differences found in these analyses. Electronic supplementary material The online version of this article (doi:10.1186/s12913-014-0537-x) contains supplementary material, which is available to authorized users.