Optimizing Medication Adherence in AYA Dyads Through Reinforcement Learning

Improving Medication Adherence Among Adolescents and Young Adults Post-Hematopoietic Cell Transplantation: The Role of Multi-Agent Reinforcement Learning

Medication adherence plays a pivotal role in supporting recovery for adolescents and young adults (AYAs) after undergoing hematopoietic cell transplantation (HCT). Despite its importance, the transition from hospital to home presents numerous challenges that can impede compliance. AYAs frequently face individual obstacles such as physical and emotional symptoms, alongside interpersonal barriers that often stem from difficulties in their relationships with care partners responsible for medication management.

In an effort to enhance medication adherence in this vulnerable population, researchers are exploring innovative approaches that leverage technology and personalized strategies. One such approach involves a three-component digital intervention designed to target both the AYAs and their care partners, while also addressing the dynamics of their relationship. To optimize the effectiveness of this intervention, investigators propose the implementation of a Multi-Agent Reinforcement Learning (MARL) framework.

The MARL approach uniquely assigns each agent in the system the responsibility for delivering one specific component of the intervention. This decentralized method contrasts with traditional models that utilize a single, flattened agent which may lack the nuance needed for personalized intervention deployment. By employing MARL, the learning process is accelerated, allowing for rapid adaptation to the needs of both the AYAs and their care partners.

Preliminary evaluations using a dyadic simulator environment, informed by actual clinical data, indicate that this innovative methodology can enhance medication adherence rates by approximately 3% compared to random intervention delivery methods. These promising results underscore the potential of integrating cutting-edge algorithms and digital interventions in addressing the adherence challenges posed by this complex patient population.

As the healthcare community continues to seek effective solutions for optimizing adherence among AYAs post-HCT, further investigations are warranted to validate these findings. An upcoming clinical trial is set to evaluate the effectiveness of the MARL intervention more thoroughly, with hopes of refining strategies that support both the patient and their care partner in managing medication regimens.

This research not only highlights the critical issue of medication adherence in AYAs undergoing HCT but also exemplifies the potential of technological advancements in healthcare. By focusing on personalized interventions that consider both individual and relational factors, healthcare providers may improve outcomes and contribute to a more holistic approach to patient care.