Social Prescriptions and Micro-Learning to Improve Care for Cancer Patients and Their Support Persons

Optimal patient-centered care is often not being delivered to cancer patients, especially to vulnerable populations like those living in underserved rural areas. This body of work will develop and pilot test a multicomponent intervention approach designed to improve the care and outcomes of cancer patients and their support persons (SPs) during and following their therapeutic journey. The intervention will involve the provision of social prescriptions and web-based micro-learning modules, as well as stepwise care based on ongoing monitoring of symptom burden and health. This project uses the strengths of innovative, individually tailored communication strategies and a comprehensive low-cost approach that are likely to support fair and equal patient access to optimal care beyond the funding period. By using a patient-driven approach in an interdisciplinary setting, it is anticipated that the intervention will improve the health outcomes of various patient populations, especially those living in rural areas. To achieve this, a methodologically robust mixed-methods approach and an effectiveness-implementation hybrid design will be employed to move effective strategies towards implementation into clinical practice. A number of standardized patient-reported outcome and experience measures will be used, including quality of life and knowledge of health and care. As a result of this research, an implementation toolbox will be developed that could be used by clinicians working in different healthcare settings and services, both nationally and internationally, to help provide highest quality cancer care.