Multiscale Modeling and Intervention for Improving Long-Term Medication Adherence in Context

Endocrine therapy, including aromatase inhibitors and Tamoxifen, is prescribed for at least 5 years after individuals have been treated for hormone receptor-positive breast cancer to prevent recurrence of their cancer. Adherence to these medications (defined as 80% or more doses taken as prescribed) is associated with significant increases in recurrence-free survival. Despite the life-saving benefits of these medications, rates of persistence and adherence are low. Our objective is to create a new integrated system for long-term monitoring of medication adherence consisting of ecological momentary assessment, sensor-rich smartphones, wireless medication event monitoring systems (MEMS), wireless beacons, and wearable sensors that collect in situ data on adherence that will be used to understand and model medication-taking behaviors.

Publications

Anna N Baglione, Sarah Tolman, Chloe Dapaah, Danielle Johnson, Kristen J Wells, Richard D Hall, Ryan D Gentzler, Laura E Barnes. mHealth for Medication and Side Effect Monitoring: Patients’ Attitudes Toward Smart Devices for Managing Oral Chemotherapy During Lung Cancer TreatmentInternational Conference on Pervasive Computing Technologies for Healthcare – December 2022


Navreet Kaur, Manuel Gonzales, Cristian Garcia Alcaraz, Laura E Barnes, Kristen J Wells, Jiaqi Gong. Theory-Guided Randomized Neural Networks for Decoding Medication-Taking Behavior. 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) – July 2021

Project Members

Navreet Kaur
Graduate Student
Sarah Tolman
Research Coordinator