Understanding Inequalities in the Uptake of Supportive Care to Improve Practices in the Cancer Care Continuum.

(1) Background: While inequalities in the prevalence of cancer, access to care, and survival have been well documented, less research has focused on inequalities in the uptake of supportive oncology care. Given its contribution to improving the quality of life of people affected by cancer, access to such care is a major public health issue. The present study focuses on the access and uptake of those supportive oncology care services. (2) Methods: This study is based on qualitative research methodology, using a thematic analysis tree on NVivo© analysis software. First, an exploratory survey was conducted with users of oncology services, and professionals from these services and supportive oncology care. Then, individual interviews were conducted in June 2022 among people who are currently being treated or have been treated for cancer. (3) Results: The experiences of the 33 respondents revealed that significant variations in the uptake of supportive oncology care are underpinned by identifiable disparities in their healthcare pathways: in their assimilation of information, difficulties in accessing oncology care, personal reluctance and motivations, perceived needs and benefits, and use of other medicines. (4) Conclusion: This study aims to gain some insight into disparities in the uptake of supportive care in the Centre-Val de Loire region (France). Thus, it provides a better understanding of the complex ways in which these inequalities in supportive oncology care uptake are constructed.

Database integration for predisposition genes discovery.

Lightweight and flexible data integration is nowadays a great challenge in biology. Databases size increased exponentially, and biologists need tools to extract and merge interesting data coming from several heterogeneous and distributed sources over the Internet. Furthermore, there is a great need for data mediation on grid computing architectures. This paper is about a demonstration which goal is to show how Mediation, a data integration technique, can help in building such bioinformatics tools. We focused on research of genes functions, especially those involved in the resistance to malaria or those that may be considered as predisposition genes.