Medication adherence is the process by which patients take their medications as prescribed. Medication nonadherence is a major problem, resulting in over 100,000 preventable deaths and over $100 billion in preventable health care costs every year in the United States alone. Medication nonadherence is challenging to study because (a) clinical trials which force patients to skip doses may be unethical, (b) nonadherence is erratic (i.e. patients do not miss doses in regular, deterministic patterns), and (c) there are many competing factors to consider (adherence rates, dose timing, drug absorption, drug half-life, etc.), and it is difficult to disentangle their individual contributions. For these reasons, mathematical modeling and analysis is emerging as a key tool to combat medication nonadherence. In this Research Topic, we aim to explore how such in silico modeling can be used to answer questions surrounding medication nonadherence, describe various computational and stochastic approaches, and highlight opportunities for future research.
The scope of the article collection is any mathematical or computational investigation into medication nonadherence. Articles in the collection may analyze nonadherence for specific drugs or may study the effects of nonadherence more generally. Articles which seek to use theory and computation to mitigate the deleterious effects of nonadherence are especially welcome, as are articles which incorporate data on nonadherence patterns in actual clinical settings or data on drug forgiveness. Original Research articles are the primary article type of interest, though other article types such as Systematic Review, Methods, Review, Mini Review, etc. are welcome.
Keywords:
Medication Adherence, Medication Nonadherence, In Silico Modeling, Stochastic Approaches, Computational Approaches
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Medication adherence is the process by which patients take their medications as prescribed. Medication nonadherence is a major problem, resulting in over 100,000 preventable deaths and over $100 billion in preventable health care costs every year in the United States alone. Medication nonadherence is challenging to study because (a) clinical trials which force patients to skip doses may be unethical, (b) nonadherence is erratic (i.e. patients do not miss doses in regular, deterministic patterns), and (c) there are many competing factors to consider (adherence rates, dose timing, drug absorption, drug half-life, etc.), and it is difficult to disentangle their individual contributions. For these reasons, mathematical modeling and analysis is emerging as a key tool to combat medication nonadherence. In this Research Topic, we aim to explore how such in silico modeling can be used to answer questions surrounding medication nonadherence, describe various computational and stochastic approaches, and highlight opportunities for future research.
The scope of the article collection is any mathematical or computational investigation into medication nonadherence. Articles in the collection may analyze nonadherence for specific drugs or may study the effects of nonadherence more generally. Articles which seek to use theory and computation to mitigate the deleterious effects of nonadherence are especially welcome, as are articles which incorporate data on nonadherence patterns in actual clinical settings or data on drug forgiveness. Original Research articles are the primary article type of interest, though other article types such as Systematic Review, Methods, Review, Mini Review, etc. are welcome.
Keywords:
Medication Adherence, Medication Nonadherence, In Silico Modeling, Stochastic Approaches, Computational Approaches
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.