Civil society, represented by the Spanish Association Against Cancer along with 23 other entities related to this disease, advocates for the need to advance in the collection and analysis of data on cancer in order to improve the situation of patients. MásDatos Cáncer is presented as a dynamic and accessible tool that seeks to broaden knowledge about cancer while highlighting existing gaps in information.
According to Fernando Jou, President of the Spanish Association Against Cancer in the province of Toledo, MásDatos Cáncer has the potential to improve public policies related to cancer, identify areas for improvement, and highlight the deficiencies that currently exist. This push seeks to involve civil society in generating indicators to improve the socio-health environment and the quality of life of cancer patients.
Within the framework of this initiative, a comprehensive model of knowledge about cancer has been developed, resulting from the joint work of the involved entities. The importance of prioritizing data collection and transparency in its use is emphasized, as well as the fundamental role of civil society in promoting applied social research on cancer.
The goal set by the Spanish Association Against Cancer is to achieve a survival rate of 70% in cancer patients by the year 2030. Currently, a new case of cancer is diagnosed every two minutes, underscoring the relevance of improving care and research in this area.
The use of integrated data on the different dimensions of cancer is crucial for optimizing efficiency and effectiveness in patient care. In the province of Toledo, for example, 4,184 new cases of cancer were diagnosed in 2024, and it is estimated that this figure will increase to 4,720 by the year 2030.
In this regard, collaboration with Autonomous Communities is vital to address issues such as waiting lists, mortality, and prevention programs. The commitment of all society to the fight against cancer, reflected in the #TodosContraelCáncer movement, becomes a fundamental pillar in data management for effective health policies.
