Facilitating self-management and personalised access to supportive care
Session type: Oral
The number of cancer survivors will continue to grow, and many cancer survivors have unique care needs. Barriers to supportive care are a lack of screening instruments in oncology settings, and that traditional models of supportive care do not meet current demands. Self-management and e-health can be used to enhance the efficiency of supportive care. For example, in the Netherlands, cancer survivors can use the Oncokompas2.0 to fill in questionnaires at home on their quality of life, existential issues, and lifestyle, and view their personal well-being profile. Supported by an evidence based knowledge and decision support algorithm, advice is generated automatically, and based on the individual well-being profile, cancer survivors can be directed towards guided self-help treatments or professional care providers, according to a matched care model.
When systems such as the Oncokompas2.0 are implemented in regular care, big data analyses will provide better insight into the needs of cancer survivors for supportive cancer care. Also, more understanding will be obtained into the possible determinants of supportive cancer care and the success of interventions. Eventually, this will lead to a "personalized" instead of a "one size fits all" approach of supportive care in the future.