MAPLE

MAPLE

Medicine Adherence, Phenotyping and Longitudinal Evaluation Software Package

Aim

The overarching aim is to build an integrated platform for understanding how medicines are used over time, at both the patient and population level.

Rationale

The rationale is that simple summary measures often miss the real story: patients can have very different behaviour patterns despite similar average adherence, and medicine use at scale also changes in ways that matter for care, policy, and intervention design. Together, the packages support a more complete picture of medicines behaviour, combining trajectory modelling, phenotyping, pathway analysis, and utilisation trends.

Projects

  1. The trajectory project is a group-based trajectory modelling package scalable to larger datasets. It uses longitudinal dispensing data to identify distinct subgroups of patients who follow different adherence pathways over time, rather than compressing behaviour into a single summary score. Its rationale is that patients with the same average adherence can behave very differently in practice, and its expected outcome is a set of clinically interpretable trajectory archetypes such as persistent adherence, gradual decline, rapid decline, or early discontinuation.
  2. The medication behaviour toolkit is the applied medicines package within the platform. It translates dispensing histories into clinically interpretable medication-behaviour phenotypes, such as persistence, discontinuation, restart, switching instability, and complexity-sensitive behaviour. Its role is to turn raw claims or PBS-style data into outputs that are meaningful for pharmacoepidemiology, intervention targeting, and pathway analysis.