Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence

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dc.contributor.authorBaglione, Anna N.
dc.contributor.authorGong, Jiaqi
dc.contributor.authorBoukhechba, Mehdi
dc.contributor.authorWells, Kristen J.
dc.contributor.authorBarnes, Laura E.
dc.date.accessioned2020-10-21T18:28:54Z
dc.date.available2020-10-21T18:28:54Z
dc.date.issued2020-06-26
dc.description.abstractInterventions to improve the medication adherence have had limited success and can require significant human resources to implement. Research focused on improving medication adherence has undergone a paradigm shift, of late, with a shift toward developing personalized, theory-driven interventions. The current research integrates foundational and translational science to implement a mechanism-focused, context-aware approach. Increasing adoption of mobile and wearable sensing systems presents new opportunities for understanding how medication-taking behaviors unfold in natural settings, especially in populations who have difficulty adhering to medications. When combined with survey and ecological momentary assessment data, these mobile and wearable sensing systems can directly capture the context of medication adherence in situ, including personal, behavioral, and environmental factors. The purpose of this article is to present a new transdisciplinary research framework in medication adherence, highlight critical advances in this rapidly evolving research field, and outline potential future directions for both research and clinical applications.en_US
dc.description.sponsorshipResearch reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under award numbers R01CA239246 and R21CA161077. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Healthen_US
dc.description.urihttps://ieeexplore.ieee.org/document/9127191en_US
dc.format.extent13 pagesen_US
dc.genrejournal articles postprintsen_US
dc.identifierdoi:10.13016/m289hl-qrrt
dc.identifier.citationBaglione, Anna N.; Gong, Jiaqi; Boukhechba, Mehdi; Wells, Kristen J.; Barnes, Laura E.; Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence; IEEE Pervasive Computing ( Volume: 19, Issue: 3, 2020); https://ieeexplore.ieee.org/document/9127191en_US
dc.identifier.urihttps://doi.org/10.1109/MPRV.2020.2993993
dc.identifier.urihttp://hdl.handle.net/11603/19948
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rights© 2020 IEEE.  Personal use of this material is permitted.  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.titleLeveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherenceen_US
dc.typeTexten_US

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