Cargando…
Detection of Behavioral Anomalies in Medication Adherence Patterns Among Patients With Serious Mental Illness Engaged With a Digital Medicine System
BACKGROUND: Adherence to medication is often represented in the form of a success percentage over a period of time. Although noticeable changes to aggregate adherence levels may be indicative of unstable medication behavior, a lack of noticeable changes in aggregate levels over time does not necessa...
Autores principales: | Knights, Jonathan, Heidary, Zahra, Cochran, Jeffrey M |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516690/ https://www.ncbi.nlm.nih.gov/pubmed/32909950 http://dx.doi.org/10.2196/21378 |
Ejemplares similares
-
Characterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness
por: Cochran, Jeffrey M., et al.
Publicado: (2021) -
Evaluating digital medicine ingestion data from seriously mentally ill patients with a Bayesian Hybrid Model
por: Knights, Jonathan, et al.
Publicado: (2019) -
A Rest Quality Metric Using a Cluster-Based Analysis of Accelerometer Data and Correlation With Digital Medicine Ingestion Data: Algorithm Development
por: Heidary, Zahra, et al.
Publicado: (2021) -
Medication Adherence Patterns Among Patients with Multiple Serious Mental and Physical Illnesses
por: MacEwan, Joanna P., et al.
Publicado: (2018) -
A review of behavioral tailoring strategies for improving medication adherence in serious mental illness
por: Kreyenbuhl, Julie, et al.
Publicado: (2016)