A Decision Support Tool Facilitating Medicine Design for Optimal Acceptability in The Older Population.

Purpose: Medicine acceptability, which is of the utmost importance for vulnerable patients' adherence, is driven by both user and product characteristics. Herein, a novel multivariate approach integrating the many aspects of acceptability is used to discriminate positively and negatively accepted medicines in the older population.

Methods: An observational study was carried out in eight hospitals and eight nursing homes to collect a large set of real-life data on medicines uses in older patients (≥65 years). Mapping and clustering explored these multiple observational measures and summarised the main information into an intelligible reference framework. Resampling statistics were used to validate the model's reliability.

Results: A three-dimensional map and two clusters defining acceptability profiles, as positive or negative, emerged from the 1079 evaluations. Factors of interest (medicines, user features…) were positioned on the map at the barycentre of their evaluations and assigned to an acceptability profile. Focusing on patients' ability to swallow, we have highlighted the tool's efficacy in demonstrating the impact of user features on medicine acceptability.

Conclusions: This multivariate approach provides a relevant judgement criterion for this multi-dimensional concept. Facilitating the choice of the most appropriate dosage form to achieve optimal acceptability in a targeted population, this tool is of real potential to improve clinical decisions.