{"database":"ecrin-mdr-crc","file_versions":[],"scores":null,"additional":{"omics_type":["Clinical"],"study_start_year":["2020"],"data_sharing_plan":["Subjects in the study are prospective patients who are in the clinical workflow. In order to ensure their anonymity, no specific dataset will be created to be used outside project PERSIST. The statistical analyses and specific results will be made public, however, through a process of generalization designed to accommodate the specific primary/secondary endpoint.\nIPD policy summary: Not expected to be made available"],"condition":["Breast cancer and colorectal cancer survivors"],"disease":["Breast Cancer And Colorectal Cancer Survivors"],"study_type":["Interventional"],"full_dataset_link":["https://newmdr.ecrin.org/Study/2426861"],"location":["Latvia","Belgium","Slovenia","Spain"],"study_start_month":["2"],"repository":["ECRIN MDR"],"study_status":["Completed"],"additional_accession":[]},"is_claimable":false,"name":"Clinical study to assess the outcomes of a patient-centred survivorship care plan enhanced with big data and artificial intelligence technologies","description":"Background and study aims\nIn the last decades, evidence has emerged that the lifestyle of cancer survivors, such as exercise, increased fruit and vegetable consumption, healthy body weight and body composition, smoking cessation, and cognitive behavioral therapy, can positively influence their prognosis. However, few survivors are able to meet all of these recommendations. Many cancer survivors have unmet needs, especially when it comes to improving their quality of life, in addition to extending their life. It is estimated that about one in four people living after cancer treatment face moderate to severe physical or psychological issues after their cancer treatment has ended.\nThis study is designed to improve health outcomes and quality of life and reduce stress in breast and colorectal cancer survivors who have gone beyond curative cancer treatment. These cancer types have been chosen because of their relatively high incidence and survival rates, making up a relatively large survivor population whose follow-up can be improved. The study will evaluate the impact of the use of big data analytics and artificial intelligence on the self-efficacy of participants following an intervention supported by digital tools.\nWho can participate?\nSurvivors of breast and colon cancer aged 18 to 75 in Belgium, Latvia, Slovenia and Spain\nWhat does the study involve?\nThe intervention will be carried out through an mHealth app for collecting objective (vital signs) and subjective measurements (e.g. symptoms of depression) with the support of a chatbot. Additionally, the Clinical Decision Support System (CDSS) will enable oncologists to personalize treatment and care plans/follow-up for efficient management of patients.","dates":{"creation":"2020-02-15"},"accession":"2426861","cross_references":{"ISRCTN":["ISRCTN97617326"]}}