Lack of treatment adherence is a widespread issue worldwide, which leads to higher healthcare utilisation rates and even premature death. While the level of adherence may differ based on the specific condition and treatment, studies estimate that approximately 50% of medications are not taken according to the prescribed instructions.

The overall goal of the BEAMER project is to improve the quality of life of individuals, enhance healthcare accessibility and sustainability, thereby transforming the way healthcare stakeholders engage with patients to understand their condition and adherence levels throughout their healthcare journey. To address the overall goal, the BEAMER project has developed a disease-agnostic model named “B-COMPASS: BEAMER-COmputational Model for Patient Adherence and Support Solutions“. The aim of the B-COMPASS is to identify patients’ needs and preferences, which enables the creation of patient-specific supports, with the intention of improving their adherence to treatment within the heterogeneity of the different disease areas and healthcare contexts.

Based on the validated BEAMER questionnaire, the B-COMPASS predicts relative adherence and offers an elicitation process of patient needs and preferences to enable targeted supports to improve patient adherence. This results in an allocation of patients to different groups based on their needs and preferences. Overall, the B-COMPASS provides patient insights that will enable more effective design of patient support, most likely resulting in better patient experience, improved adherence, and lower healthcare and societal costs.

PI: Luís Nogueira Silva, Heloísa Ribeiro, Rosa de Pinho, José Lima Nogueira, Paulo Santos, Elisabete Martins, João Sérgio Neves, Andreia Costa, Carlos Vaz